Alex M. Bronstein

Bronstein Group

203 Publications

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[203]
2024 | Published | Journal Article | IST-REx-ID: 18203 | OA
Rosenberg, Aviv A., Ailie Marx, and Alex M. Bronstein. “A Dataset of Alternately Located Segments in Protein Crystal Structures.” Scientific Data. Springer Nature, 2024. https://doi.org/10.1038/s41597-024-03595-4.
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[202]
2024 | Published | Journal Article | IST-REx-ID: 18204 | OA
Elul, Yonatan, Eyal Rozenberg, Amit Boyarski, Yael Yaniv, Assaf Schuster, and Alex M. Bronstein. “Data-Driven Modeling of Interrelated Dynamical Systems.” Communications Physics. Springer Nature, 2024. https://doi.org/10.1038/s42005-024-01626-5.
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[201]
2024 | Published | Journal Article | IST-REx-ID: 18205 | OA
Wengrowicz, Omri, Alex M. Bronstein, and Oren Cohen. “Unsupervised Physics-Informed Deep Learning-Based Reconstruction for Time-Resolved Imaging by Multiplexed Ptychography.” Optics Express. Optica Publishing Group, 2024. https://doi.org/10.1364/oe.515445.
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[200]
2024 | Published | Conference Paper | IST-REx-ID: 18206
Rave, Gilad, Daniel E. Fordham, Alex M. Bronstein, and David H. Silver. “Enhancing Predictive Accuracy in Embryo Implantation: The Bonna Algorithm and Its Clinical Implications.” In First International Conference on Artificial Intelligence in Healthcare, 14976:160–71. Springer Nature, 2024. https://doi.org/10.1007/978-3-031-67285-9_12.
View | DOI
 
[199]
2023 | Published | Journal Article | IST-REx-ID: 18207 | OA
Bronstein, Alex M., and Ailie Marx. “Water Stabilizes an Alternate Turn Conformation in Horse Heart Myoglobin.” Scientific Reports. Springer Nature, 2023. https://doi.org/10.1038/s41598-023-32821-z.
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[198]
2023 | Published | Journal Article | IST-REx-ID: 18208 | OA
Weiss, Tomer, Eduardo Mayo Yanes, Sabyasachi Chakraborty, Luca Cosmo, Alex M. Bronstein, and Renana Gershoni-Poranne. “Guided Diffusion for Inverse Molecular Design.” Nature Computational Science. Springer Nature, 2023. https://doi.org/10.1038/s43588-023-00532-0.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
[197]
2023 | Published | Journal Article | IST-REx-ID: 18209 | OA
Weiss, Tomer, Alexandra Wahab, Alex M. Bronstein, and Renana Gershoni-Poranne. “Interpretable Deep-Learning Unveils Structure–Property Relationships in Polybenzenoid Hydrocarbons.” The Journal of Organic Chemistry. American Chemical Society, 2023. https://doi.org/10.1021/acs.joc.2c02381.
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[196]
2023 | Published | Conference Paper | IST-REx-ID: 18212
Ye, Haojie, Sanketh Vedula, Yuhan Chen, Yichen Yang, Alex M. Bronstein, Ronald Dreslinski, Trevor Mudge, and Nishil Talati. “GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference.” In Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 11:282–301. Association for Computing Machinery, 2023. https://doi.org/10.1145/3582016.3582029.
View | Files available | DOI
 
[195]
2023 | Published | Journal Article | IST-REx-ID: 18213
Hermanns, Judith, Konstantinos Skitsas, Anton Tsitsulin, Marina Munkhoeva, Alexander Kyster, Simon Nielsen, Alex M. Bronstein, Davide Mottin, and Panagiotis Karras. “GRASP: Scalable Graph Alignment by Spectral Corresponding Functions.” ACM Transactions on Knowledge Discovery from Data. Association for Computing Machinery, 2023. https://doi.org/10.1145/3561058.
View | DOI
 
[194]
2023 | Published | Journal Article | IST-REx-ID: 18214 | OA
Chen, Yuhan, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald Dreslinski, Trevor Mudge, and Nishil Talati. “Demystifying Graph Sparsification Algorithms in Graph Properties Preservation.” Proceedings of the VLDB Endowment. Association for Computing Machinery, 2023. https://doi.org/10.14778/3632093.3632106.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[193]
2023 | Published | Conference Paper | IST-REx-ID: 18215 | OA
Gahtan, Barak, Reuven Cohen, Alex M. Bronstein, and Gil Kedar. “Using Deep Reinforcement Learning for MmWave Real-Time Scheduling.” In 14th International Conference on Network of the Future, 71–79. IEEE, 2023. https://doi.org/10.1109/nof58724.2023.10302794.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[192]
2023 | Published | Journal Article | IST-REx-ID: 18216 | OA
Rosenberg, Aviv A., Nitsan Yehishalom, Ailie Marx, and Alex M. Bronstein. “An Amino-Domino Model Described by a Cross-Peptide-Bond Ramachandran Plot Defines Amino Acid Pairs as Local Structural Units.” Proceedings of the National Academy of Sciences. National Academy of Sciences, 2023. https://doi.org/10.1073/pnas.2301064120.
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[191]
2023 | Published | Conference Paper | IST-REx-ID: 18217 | OA
Zadok, Dean, Oren Salzman, Alon Wolf, and Alex M. Bronstein. “Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation.” In 2023 IEEE International Conference on Robotics and Automation, Vol. 27. IEEE, 2023. https://doi.org/10.1109/icra48891.2023.10160601.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[190]
2023 | Published | Conference Paper | IST-REx-ID: 18218 | OA
Nemcovsky, Yaniv, Matan Jacoby, Alex M. Bronstein, and Chaim Baskin. “Physical Passive Patch Adversarial Attacks on Visual Odometry Systems.” In 16th Asian Conference on Computer Vision, 13847:518–34. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-26293-7_31.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[189]
2023 | Published | Journal Article | IST-REx-ID: 18219 | OA
Schwartz, Eli, Alex M. Bronstein, and Raja Giryes. “ISP Distillation.” IEEE Open Journal of Signal Processing. Institute of Electrical and Electronics Engineers, 2023. https://doi.org/10.1109/ojsp.2023.3239819.
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[188]
2022 | Published | Journal Article | IST-REx-ID: 18211
Nemcovsky, Yaniv, Evgenii Zheltonozhskii, Chaim Baskin, Brian Chmiel, Alex M. Bronstein, and Avi Mendelson. “Adversarial Robustness via Noise Injection in Smoothed Models.” Applied Intelligence. Springer Nature, 2022. https://doi.org/10.1007/s10489-022-03423-5.
View | DOI
 
[187]
2022 | Published | Journal Article | IST-REx-ID: 18220 | OA
Ackerman-Schraier, Linor, Aviv A. Rosenberg, Ailie Marx, and Alex M. Bronstein. “Machine Learning Approaches Demonstrate That Protein Structures Carry Information about Their Genetic Coding.” Scientific Reports. Springer Nature, 2022. https://doi.org/10.1038/s41598-022-25874-z.
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[186]
2022 | Published | Journal Article | IST-REx-ID: 18221 | OA
Rosenberg, Aviv A., Ailie Marx, and Alex M. Bronstein. “Codon-Specific Ramachandran Plots Show Amino Acid Backbone Conformation Depends on Identity of the Translated Codon.” Nature Communications. Springer Nature, 2022. https://doi.org/10.1038/s41467-022-30390-9.
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[185]
2022 | Published | Journal Article | IST-REx-ID: 18222 | OA
Fordham, Daniel E, Dror Rosentraub, Avital L Polsky, Talia Aviram, Yotam Wolf, Oriel Perl, Asnat Devir, et al. “Embryologist Agreement When Assessing Blastocyst Implantation Probability: Is Data-Driven Prediction the Solution to Embryo Assessment Subjectivity?” Human Reproduction. Oxford University Press, 2022. https://doi.org/10.1093/humrep/deac171.
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[184]
2022 | Published | Book Chapter | IST-REx-ID: 18223
Rosenberg, Aviv A., Alex M. Bronstein, and Ailie Marx. “Recording Silence – Accurate Annotation of the Genetic Sequence Is Required to Better Understand How Synonymous Coding Affects Protein Structure and Disease.” In Single Nucleotide Polymorphisms, edited by Zuben E. Sauna and Chava Kimchi-Sarfaty, 37–47. Cham: Springer Nature, 2022. https://doi.org/10.1007/978-3-031-05616-1_3.
View | DOI
 
[183]
2022 | Published | Journal Article | IST-REx-ID: 18224 | OA
Schwartz, Eli, Leonid Karlinsky, Rogerio Feris, Raja Giryes, and Alex M. Bronstein. “Baby Steps towards Few-Shot Learning with Multiple Semantics.” Pattern Recognition Letters. Elsevier, 2022. https://doi.org/10.1016/j.patrec.2022.06.012.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[182]
2022 | Published | Journal Article | IST-REx-ID: 18225 | OA
Pai, Gautam, Alex M. Bronstein, Ronen Talmon, and Ron Kimmel. “Deep Isometric Maps.” Image and Vision Computing. Elsevier, 2022. https://doi.org/10.1016/j.imavis.2022.104461.
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[181]
2022 | Published | Journal Article | IST-REx-ID: 18226 | OA
Rozenberg, Eyal, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Daniel Freedman, Alex M. Bronstein, and Ady Arie. “Inverse Design of Spontaneous Parametric Downconversion for Generation of High-Dimensional Qudits.” Optica. Optica Publishing Group, 2022. https://doi.org/10.1364/optica.451115.
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[180]
2022 | Published | Journal Article | IST-REx-ID: 18227
Kang, Peipei, Zehang Lin, Zhenguo Yang, Alex M. Bronstein, Qing Li, and Wenyin Liu. “Deep Fused Two-Step Cross-Modal Hashing with Multiple Semantic Supervision.” Multimedia Tools and Applications. Springer Nature, 2022. https://doi.org/10.1007/s11042-022-12187-6.
View | DOI
 
[179]
2022 | Published | Conference Paper | IST-REx-ID: 18229 | OA
Amrani, Elad, Leonid Karlinsky, and Alex M. Bronstein. “Self-Supervised Classification Network.” In 17th European Conference on Computer Vision, 13691:116–32. Springer Nature, 2022. https://doi.org/10.1007/978-3-031-19821-2_7.
View | Files available | DOI | Download None (ext.) | arXiv
 
[178]
2022 | Published | Conference Paper | IST-REx-ID: 18230
Talati, Nishil, Haojie Ye, Sanketh Vedula, Kuan-Yu Chen, Yuhan Chen, Daniel Liu, Yichao Yuan, et al. “Mint: An Accelerator for Mining Temporal Motifs.” In 55th IEEE/ACM International Symposium on Microarchitecture. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/micro56248.2022.00089.
View | DOI
 
[177]
2022 | Published | Conference Paper | IST-REx-ID: 18231
Zheltonozhskii, Evgenii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, and Or Litany. “Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels.” In IEEE/CVF Winter Conference on Applications of Computer Vision, 387–97. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/wacv51458.2022.00046.
[Preprint] View | Files available | DOI | arXiv
 
[176]
2022 | Published | Journal Article | IST-REx-ID: 18232
Kang, Peipei, Zehang Lin, Zhenguo Yang, Xiaozhao Fang, Alex M. Bronstein, Qing Li, and Wenyin Liu. “Intra-Class Low-Rank Regularization for Supervised and Semi-Supervised Cross-Modal Retrieval.” Applied Intelligence. Springer Nature, 2022. https://doi.org/10.1007/s10489-021-02308-3.
View | DOI
 
[175]
2021 | Published | Conference Paper | IST-REx-ID: 18244 | OA
Livne, Amir, Ziv Aviv, Shahaf Grofit, Alex M. Bronstein, and Ron Kimmel. “Do We Need Depth in State-Uf-the-Art Face Authentication?” In 2020 International Conference on 3D Vision (3DV). IEEE, 2021. https://doi.org/10.1109/3dv50981.2020.00099.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[174]
2021 | Published | Conference Paper | IST-REx-ID: 18243
Hermanns, Judith, Anton Tsitsulin, Marina Munkhoeva, Alex M. Bronstein, Davide Mottin, and Panagiotis Karras. “GRASP: Graph Alignment through Spectral Signatures.” In International Joint Conference on Asia-Pacific Web and Web-Age Information Management, 12858:44–52. Springer Nature, 2021. https://doi.org/10.1007/978-3-030-85896-4_4.
View | DOI
 
[173]
2021 | Published | Journal Article | IST-REx-ID: 18233 | OA
Nahshan, Yury, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, and Avi Mendelson. “Loss Aware Post-Training Quantization.” Machine Learning. Springer Nature, 2021. https://doi.org/10.1007/s10994-021-06053-z.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[172]
2021 | Published | Journal Article | IST-REx-ID: 18234
Baskin, Chaim, Evgenii Zheltonozhkii, Tal Rozen, Natan Liss, Yoav Chai, Eli Schwartz, Raja Giryes, Alex M. Bronstein, and Avi Mendelson. “NICE: Noise Injection and Clamping Estimation for Neural Network Quantization.” Mathematics. MDPI, 2021. https://doi.org/10.3390/math9172144.
[Published Version] View | DOI | arXiv
 
[171]
2021 | Published | Journal Article | IST-REx-ID: 18235 | OA
Doveh, Sivan, Eli Schwartz, Chao Xue, Rogerio Feris, Alex M. Bronstein, Raja Giryes, and Leonid Karlinsky. “MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification.” Pattern Recognition Letters. Elsevier, 2021. https://doi.org/10.1016/j.patrec.2021.05.010.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[170]
2021 | Published | Journal Article | IST-REx-ID: 18236
Elul, Yonatan, Aviv A. Rosenberg, Assaf Schuster, Alex M. Bronstein, and Yael Yaniv. “Meeting the Unmet Needs of Clinicians from AI Systems Showcased for Cardiology with Deep-Learning–Based ECG Analysis.” Proceedings of the National Academy of Sciences. National Academy of Sciences, 2021. https://doi.org/10.1073/pnas.2020620118.
[Published Version] View | DOI | PubMed | Europe PMC
 
[169]
2021 | Published | Journal Article | IST-REx-ID: 18237 | OA
Baskin, Chaim, Natan Liss, Eli Schwartz, Evgenii Zheltonozhskii, Raja Giryes, Alex M. Bronstein, and Avi Mendelson. “UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks.” ACM Transactions on Computer Systems. Association for Computing Machinery, 2021. https://doi.org/10.1145/3444943.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[168]
2021 | Published | Journal Article | IST-REx-ID: 18238 | OA
Karbachevsky, Alex, Chaim Baskin, Evgenii Zheltonozhskii, Yevgeny Yermolin, Freddy Gabbay, Alex M. Bronstein, and Avi Mendelson. “Early-Stage Neural Network Hardware Performance Analysis.” Sustainability. MDPI, 2021. https://doi.org/10.3390/su13020717.
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[167]
2021 | Published | Conference Paper | IST-REx-ID: 18239 | OA
Arbelle, Assaf, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, et al. “Detector-Free Weakly Supervised Grounding by Separation.” In IEEE/CVF International Conference on Computer Vision, Vol. 15. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/iccv48922.2021.00182.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[166]
2021 | Published | Conference Paper | IST-REx-ID: 18240 | OA
Dahary, Omer, Matan Jacoby, and Alex M. Bronstein. “Digital Gimbal: End-to-End Deep Image Stabilization with Learnable Exposure Times.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vol. 38. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/cvpr46437.2021.01176.
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[165]
2021 | Published | Conference Paper | IST-REx-ID: 18241 | OA
Weiss, Tomer, Nissim Peretz, Sanketh Vedula, Arie Feuer, and Alex M. Bronstein. “Joint Optimization of System Design and Reconstruction in MIMO Radar Imaging.” In 31st International Workshop on Machine Learning for Signal Processing, Vol. 4. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/mlsp52302.2021.9596168.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[164]
2021 | Published | Book Chapter | IST-REx-ID: 18242 | OA
Weiss, Tomer, Sanketh Vedula, Ortal Senouf, Oleg Michailovich, and Alex M. Bronstein. “Towards Learned Optimal Q-Space Sampling in Diffusion MRI.” In Computational Diffusion MRI, edited by Noemi Gyori, Jana Hutter, Vishwesh Nath, Marco Palombo, Marco Pizzolato, and Fan Zhang, 13–28. Cham: Springer Nature, 2021. https://doi.org/10.1007/978-3-030-73018-5_2.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[163]
2020 | Published | Conference Paper | IST-REx-ID: 18259 | OA
Alfassy, Amit, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, and Alex M. Bronstein. “Laso: Label-Set Operations Networks for Multi-Label Few-Shot Learning.” In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. https://doi.org/10.1109/cvpr.2019.00671.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[162]
2020 | Published | Conference Paper | IST-REx-ID: 18255 | OA
Amrani, Elad, Rami Ben-Ari, Tal Hakim, and Alex M. Bronstein. “Learning to Detect and Retrieve Objects from Unlabeled Videos.” In 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE, 2020. https://doi.org/10.1109/iccvw.2019.00567.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[161]
2020 | Published | Conference Paper | IST-REx-ID: 18258
Karlinsky, Leonid, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogerio Feris, Raja Giryes, and Alex M. Bronstein. “Repmet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection.” In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. https://doi.org/10.1109/cvpr.2019.00534.
View | DOI
 
[160]
2020 | Published | Conference Paper | IST-REx-ID: 18260
Halimi, Oshri, Or Litany, Emanuele Rodola Rodola, Alex M. Bronstein, and Ron Kimmel. “Unsupervised Learning of Dense Shape Correspondence.” In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. https://doi.org/10.1109/cvpr.2019.00450.
View | DOI
 
[159]
2020 | Published | Conference Paper | IST-REx-ID: 18249 | OA
Weiss, Tomer, Sanketh Vedula, Ortal Senouf, Oleg Michailovich, Michael Zibulevsky, and Alex M. Bronstein. “Joint Learning of Cartesian Undersampling and Reconstruction for Accelerated MRI.” In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. https://doi.org/10.1109/icassp40776.2020.9054542.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[158]
2020 | Published | Conference Paper | IST-REx-ID: 18247 | OA
Chmiel, Brian, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Yevgeny Yermolin, Alex Karbachevsky, Alex M. Bronstein, and Avi Mendelson. “Feature Map Transform Coding for Energy-Efficient CNN Inference.” In 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020. https://doi.org/10.1109/ijcnn48605.2020.9206968.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[157]
2020 | Published | Conference Paper | IST-REx-ID: 18248
Amrani, Elad, Rami Ben-Ari, Inbar Shapira, Tal Hakim, and Alex M. Bronstein. “Self-Supervised Object Detection and Retrieval Using Unlabeled Videos.” In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2020. https://doi.org/10.1109/cvprw50498.2020.00485.
View | DOI
 
[156]
2020 | Published | Conference Paper | IST-REx-ID: 18251
Alush-Aben, Jonathan, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, and Alex M. Bronstein. “3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI.” In International Workshop on Machine Learning for Medical Image Reconstruction, 12450:3–16. Springer Nature, 2020. https://doi.org/10.1007/978-3-030-61598-7_1.
View | DOI
 
[155]
2020 | Published | Journal Article | IST-REx-ID: 18228 | OA
Sommer, Stefan, and Alex M. Bronstein. “Horizontal Flows and Manifold Stochastics in Geometric Deep Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers, 2020. https://doi.org/10.1109/tpami.2020.2994507.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[154]
2020 | Published | Journal Article | IST-REx-ID: 18245
Zabatani, Aviad, Vitaly Surazhsky, Erez Sperling, Sagi Ben Moshe, Ohad Menashe, David H. Silver, Zachi Karni, Alex M. Bronstein, Michael K Bronstein, and Ron Kimmel. “Intel® RealSenseTM SR300 Coded Light Depth Camera.” IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers, 2020. https://doi.org/10.1109/tpami.2019.2915841.
View | DOI | PubMed | Europe PMC
 
[153]
2020 | Published | Journal Article | IST-REx-ID: 18246
Mariani, G., L. Cosmo, Alex M. Bronstein, and E. Rodolà. “Generating Adversarial Surfaces via Band‐limited Perturbations.” Computer Graphics Forum. Wiley, 2020. https://doi.org/10.1111/cgf.14083.
View | DOI
 
[152]
2020 | Published | Journal Article | IST-REx-ID: 18250 | OA
Choukroun, Yoni, Alon Shtern, Alex M. Bronstein, and Ron Kimmel. “Hamiltonian Operator for Spectral Shape Analysis.” IEEE Transactions on Visualization and Computer Graphics. Institute of Electrical and Electronics Engineers, 2020. https://doi.org/10.1109/tvcg.2018.2867513.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[151]
2020 | Published | Journal Article | IST-REx-ID: 18252
Rotker, Keren, Dafna Ben Bashat, and Alex M. Bronstein. “Overparameterized Models for Vector Fields.” SIAM Journal on Imaging Sciences. Society for Industrial & Applied Mathematics, 2020. https://doi.org/10.1137/19m1280697.
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[150]
2020 | Published | Journal Article | IST-REx-ID: 18253 | OA
Arbel, Matan, Alex M. Bronstein, Soumitra Sau, Batia Liefshitz, and Martin Kupiec. “Access to PCNA by Srs2 and Elg1 Controls the Choice between Alternative Repair Pathways in Saccharomyces Cerevisiae.” MBio. American Society for Microbiology, 2020. https://doi.org/10.1128/mbio.00705-20.
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[149]
2019 | Published | Conference Paper | IST-REx-ID: 18257 | OA
Rampini, Arianna, Irene Tallini, Maks Ovsjanikov, Alex M. Bronstein, and Emanuele Rodola. “Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment.” In 2019 International Conference on 3D Vision (3DV). IEEE, 2019. https://doi.org/10.1109/3dv.2019.00014.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[148]
2019 | Published | Conference Paper | IST-REx-ID: 18256 | OA
Diamant, Nir, Dean Zadok, Chaim Baskin, Eli Schwartz, and Alex M. Bronstein. “Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level.” In 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019. https://doi.org/10.1109/icip.2019.8803807.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[147]
2019 | Published | Conference Paper | IST-REx-ID: 18262 | OA
Pai, Gautam, Ronen Talmon, Alex M. Bronstein, and Ron Kimmel. “DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling.” In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2019. https://doi.org/10.1109/wacv.2019.00092.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[146]
2019 | Published | Conference Paper | IST-REx-ID: 18269
Senouf, Ortal, Sanketh Vedula, Tomer Weiss, Alex M. Bronstein, Oleg Michailovich, and Michael Zibulevsky. “Self-Supervised Learning of Inverse Problem Solvers in Medical Imaging.” In First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, 11795:111–19. Springer International Publishing, 2019. https://doi.org/10.1007/978-3-030-33391-1_13.
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[145]
2019 | Published | Conference Paper | IST-REx-ID: 18268 | OA
Dyke RM, Stride C, Lai Y-K, Rosin PL, Aubry M, Boyarski A, Bronstein AM, Bronstein MM, Cremers D, Fisher M, Groueix T, Guo D, Kim VG, Kimmel R, Lähner Z, Li K, Litany O, Remez T, Rodola E, Russell BC, Sahillioglu Y, Slossberg R, Tam GKL, Vestner M, Wu Z, Yang J. 2019. Shape correspondence with isometric and non-isometric deformations. Eurographics Workshop on 3D Object Retrieval. .
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[144]
2019 | Published | Conference Paper | IST-REx-ID: 18261 | OA
Tsitsulin, Anton, Davide Mottin, Panagiotis Karras, Alex M. Bronstein, and Emmanuel Müller. “Spectral Graph Complexity.” In Companion Proceedings of The 2019 World Wide Web Conference, 308–9. ACM, 2019. https://doi.org/10.1145/3308560.3316589.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[143]
2019 | Published | Journal Article | IST-REx-ID: 18263 | OA
Rodolà, E., Z. Lähner, Alex M. Bronstein, M. M. Bronstein, and J. Solomon. “Functional Maps Representation on Product Manifolds.” Computer Graphics Forum. Wiley, 2019. https://doi.org/10.1111/cgf.13598.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[142]
2019 | Published | Journal Article | IST-REx-ID: 18264 | OA
Schwartz, Eli, Raja Giryes, and Alex M. Bronstein. “DeepISP: Toward Learning an End-to-End Image Processing Pipeline.” IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers, 2019. https://doi.org/10.1109/tip.2018.2872858.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[141]
2018 | Published | Conference Paper | IST-REx-ID: 18273 | OA
Baskin, Chaim, Natan Liss, Evgenii Zheltonozhskii, Alex M. Bronstein, and Avi Mendelson. “Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform.” In 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2018. https://doi.org/10.1109/ipdpsw.2018.00032.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[140]
2018 | Published | Conference Paper | IST-REx-ID: 18276 | OA
Vestner, Matthias, Zorah Lahner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodola, et al. “Efficient Deformable Shape Correspondence via Kernel Matching.” In 2017 International Conference on 3D Vision (3DV), 517–26. IEEE, 2018. https://doi.org/10.1109/3dv.2017.00065.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[139]
2018 | Published | Conference Paper | IST-REx-ID: 18402
Remez, Tal, Or Litany, Raja Giryes, and Alex M. Bronstein. “Deep Class-Aware Image Denoising.” In 2017 IEEE International Conference on Image Processing (ICIP), 1895–99. IEEE, 2018. https://doi.org/10.1109/icip.2017.8296611.
View | DOI
 
[138]
2018 | Published | Conference Paper | IST-REx-ID: 18270 | OA
Litany, Or, Alex M. Bronstein, Michael Bronstein, and Ameesh Makadia. “Deformable Shape Completion with Graph Convolutional Autoencoders.” In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE, 2018. https://doi.org/10.1109/cvpr.2018.00202.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[137]
2018 | Published | Conference Paper | IST-REx-ID: 18272
Giryes, Raja, Yonina C. Eldar, Alex M. Bronstein, and Guillermo Sapiro. “The Learned Inexact Project Gradient Descent Algorithm.” In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2018. https://doi.org/10.1109/icassp.2018.8462136.
View | DOI
 
[136]
2018 | Published | Journal Article | IST-REx-ID: 18278 | OA
Giryes, Raja, Yonina C. Eldar, Alex M. Bronstein, and Guillermo Sapiro. “Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems.” IEEE Transactions on Signal Processing. IEEE, 2018. https://doi.org/10.1109/tsp.2018.2791945.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[135]
2018 | Published | Journal Article | IST-REx-ID: 18275 | OA
Bronstein, Alex M., Lihi Gershon, Gilad Grinberg, Elisa Alonso-Perez, and Martin Kupiec. “The Main Role of Srs2 in DNA Repair Depends on Its Helicase Activity, Rather than on Its Interactions with PCNA or Rad51.” MBio. American Society for Microbiology, 2018. https://doi.org/10.1128/mbio.01192-18.
[Published Version] View | DOI | Download Published Version (ext.)
 
[134]
2018 | Published | Journal Article | IST-REx-ID: 18277 | OA
Bronstein, Alex M., Shay Bramson, Keren Shemesh, Batia Liefshitz, and Martin Kupiec. “Tight Regulation of Srs2 Helicase Activity Is Crucial for Proper Functioning of DNA Repair Mechanisms.” G3: Genes, Genomes, Genetics . Oxford University Press (OUP), 2018. https://doi.org/10.1534/g3.118.200181.
[Published Version] View | DOI | Download Published Version (ext.)
 
[133]
2018 | Published | Conference Paper | IST-REx-ID: 18284
Vedula, Sanketh, Ortal Senouf, Grigoriy Zurakhov, Alex M. Bronstein, Michael Zibulevsky, Oleg Michailovich, Dan Adam, and Diana Gaitini. “High Quality Ultrasonic Multi-Line Transmission through Deep Learning.” In First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, 11074:147–55. Springer Nature, 2018. https://doi.org/10.1007/978-3-030-00129-2_17.
View | DOI
 
[132]
2018 | Published | Conference Paper | IST-REx-ID: 18285
Haim, Harel, Shay Elmalem, Raja Giryes, Alex M. Bronstein, and Emanuel Marom. “Deep Learned Phase Mask for Single Image Depth Estimation and 3D Scanning.” In Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, PcAOP), Vol. Part F99-COSI 2018. OSA, 2018. https://doi.org/10.1364/cosi.2018.cw3b.3.
View | DOI
 
[131]
2018 | Published | Conference Paper | IST-REx-ID: 18282
Qiu, Qiang, José Lezama, Alex M. Bronstein, and Guillermo Sapiro. “ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks.” In European Conference on Computer Vision, Vol. 11206. Springer Nature, 2018. https://doi.org/10.1007/978-3-030-01216-8_27.
View | DOI
 
[130]
2018 | Published | Conference Paper | IST-REx-ID: 18283
Senouf, Ortal, Sanketh Vedula, Grigoriy Zurakhov, Alex M. Bronstein, Michael Zibulevsky, Oleg Michailovich, Dan Adam, and David Blondheim. “High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning.” In International Conference on Medical Image Computing and Computer Assisted Intervention, 11070:126–34. Springer Nature, 2018. https://doi.org/10.1007/978-3-030-00928-1_15.
View | DOI
 
[129]
2018 | Published | Book Chapter | IST-REx-ID: 18281
Litany, Or, Emanuele Rodolà, Alex M. Bronstein, Michael Bronstein, and Daniel Cremers. “Partial Single- and Multishape Dense Correspondence Using Functional Maps.” In Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1, edited by Ron Kimmel and Xue-Cheng Tai, 1st ed., 19:55–90. Amsterdam: Elsevier, 2018. https://doi.org/10.1016/bs.hna.2018.09.002.
View | DOI
 
[128]
2018 | Published | Conference Poster | IST-REx-ID: 18279 | OA
Rodola, E., Z. Lähner, Alex M. Bronstein, M. M. Bronstein, and J. Solomon. Functional Maps on Product Manifolds. Symposium on Geometry Processing. The Eurographics Association, 2018. https://doi.org/10.2312/SGP.20181182.
View | DOI | Download None (ext.)
 
[127]
2018 | Published | Conference Paper | IST-REx-ID: 18274 | OA
Tsitsulin, Anton, Davide Mottin, Panagiotis Karras, Alex M. Bronstein, and Emmanuel Müller. “NetLSD: Hearing the Shape of a Graph.” In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2347–56. ACM, 2018. https://doi.org/10.1145/3219819.3219991.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[126]
2018 | Published | Journal Article | IST-REx-ID: 18271 | OA
Remez, Tal, Or Litany, Raja Giryes, and Alex M. Bronstein. “Class-Aware Fully Convolutional Gaussian and Poisson Denoising.” IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers, 2018. https://doi.org/10.1109/tip.2018.2859044.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[125]
2017 | Published | Conference Paper | IST-REx-ID: 18403
Chen, Jie, Zhuoqing Chang, Qiang Qiu, Xiaobai Li, Guillermo Sapiro, Alex M. Bronstein, and Matti Pietikainen. “RealSense = Real Heart Rate: Illumination Invariant Heart Rate Estimation from Videos.” In 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2017. https://doi.org/10.1109/ipta.2016.7820970.
View | DOI
 
[124]
2017 | Published | Conference Paper | IST-REx-ID: 18288
Remez, Tal, Or Litany, Raja Giryes, and Alex M. Bronstein. “Deep Class-Aware Image Denoising.” In 2017 International Conference on Sampling Theory and Applications (SampTA). IEEE, 2017. https://doi.org/10.1109/sampta.2017.8024474.
View | DOI
 
[123]
2017 | Published | Conference Paper | IST-REx-ID: 18287 | OA
Vestner, Matthias, Roee Litman, Emanuele Rodola, Alex M. Bronstein, and Daniel Cremers. “Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space.” In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6681–90. IEEE, 2017. https://doi.org/10.1109/cvpr.2017.707.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[122]
2017 | Published | Journal Article | IST-REx-ID: 18366 | OA
Litany, Or, Tal Remez, Daniel Freedman, Lior Shapira, Alex M. Bronstein, and Ran Gal. “ASIST: Automatic Semantically Invariant Scene Transformation.” Computer Vision and Image Understanding. Elsevier, 2017. https://doi.org/10.1016/j.cviu.2016.08.002.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[121]
2017 | Published | Journal Article | IST-REx-ID: 18372 | OA
Shemesh, Keren, Marek Sebesta, Martin Pacesa, Soumitra Sau, Alex M. Bronstein, Oren Parnas, Batia Liefshitz, Česlovas Venclovas, Lumir Krejci, and Martin Kupiec. “A Structure-Function Analysis of the Yeast Elg1 Protein Reveals the Importance of PCNA Unloading in Genome Stability Maintenance.” Nucleic Acids Research. Oxford University Press (OUP), 2017. https://doi.org/10.1093/nar/gkw1348.
[Published Version] View | DOI | Download Published Version (ext.)
 
[120]
2017 | Published | Journal Article | IST-REx-ID: 18427
Litany, O., E. Rodolà, Alex M. Bronstein, and M. M. Bronstein. “Fully Spectral Partial Shape Matching.” Computer Graphics Forum. Wiley, 2017. https://doi.org/10.1111/cgf.13123.
View | DOI
 
[119]
2017 | Published | Conference Paper | IST-REx-ID: 18330
Alexandroni, Guy, Yana Podolsky, Hayit Greenspan, Tal Remez, Or Litany, Alex M. Bronstein, and Raja Giryes. “White Matter Fiber Representation Using Continuous Dictionary Learning.” In 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, 10433:566–74. Springer Nature, 2017. https://doi.org/10.1007/978-3-319-66182-7_65.
View | DOI
 
[118]
2017 | Published | Conference Paper | IST-REx-ID: 18329
Boyarski, Amit, Alex M. Bronstein, and Michael M. Bronstein. “Subspace Least Squares Multidimensional Scaling.” In International Conference on Scale Space and Variational Methods in Computer Vision, 10302:681–93. Springer Nature, 2017. https://doi.org/10.1007/978-3-319-58771-4_54.
View | DOI
 
[117]
2017 | Published | Conference Paper | IST-REx-ID: 18435 | OA
Ovsjanikov, Maks, Etienne Corman, Michael Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas Guibas, Frederic Chazal, and Alex M. Bronstein. “Computing and Processing Correspondences with Functional Maps.” In ACM SIGGRAPH 2017 Courses. ACM, 2017. https://doi.org/10.1145/3084873.3084877.
[Preprint] View | DOI | Download Preprint (ext.)
 
[116]
2016 | Published | Conference Paper | IST-REx-ID: 18388 | OA
Remez, Tal, Or Litany, and Alex M. Bronstein. “A Picture Is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Threshold Pixels.” In 2016 IEEE International Conference on Computational Photography (ICCP). IEEE, 2016. https://doi.org/10.1109/iccphot.2016.7492874.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[115]
2016 | Published | Conference Paper | IST-REx-ID: 18374 | OA
Bronstein, Alex M., Yoni Choukroun, Ron Kimmel, and Matan Sela. “Consistent Discretization and Minimization of the L1 Norm on Manifolds.” In 2016 Fourth International Conference on 3D Vision (3DV). IEEE, 2016. https://doi.org/10.1109/3dv.2016.53.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[114]
2016 | Published | Conference Paper | IST-REx-ID: 18375 | OA
Litman, Roee, and Alex M. Bronstein. “SpectroMeter: Amortized Sublinear Spectral Approximation of Distance on Graphs.” In 2016 Fourth International Conference on 3D Vision (3DV). IEEE, 2016. https://doi.org/10.1109/3dv.2016.60.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[113]
2016 | Published | Journal Article | IST-REx-ID: 18419 | OA
Giryes, Raja, Guillermo Sapiro, and Alex M. Bronstein. “Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?” IEEE Transactions on Signal Processing. IEEE, 2016. https://doi.org/10.1109/tsp.2016.2546221.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[112]
2016 | Published | Journal Article | IST-REx-ID: 18361 | OA
Pickup D, Sun X, Rosin PL, Martin RR, Cheng Z, Lian Z, Aono M, Hamza AB, Bronstein AM, Bronstein M, Bu S, Castellani U, Cheng S, Garro V, Giachetti A, Godil A, Isaia L, Han J, Johan H, Lai L, Li B, Li C, Li H, Litman R, Liu X, Liu Z, Lu Y, Sun L, Tam G, Tatsuma A, Ye J. 2016. Shape retrieval of non-rigid 3D human models. International Journal of Computer Vision. 120(2), 169–193.
[Published Version] View | DOI | Download Published Version (ext.)
 
[111]
2016 | Published | Journal Article | IST-REx-ID: 18426 | OA
Litany, O., E. Rodolà, Alex M. Bronstein, M. M. Bronstein, and D. Cremers. “Non‐rigid Puzzles.” Computer Graphics Forum. Wiley, 2016. https://doi.org/10.1111/cgf.12970.
[Preprint] View | DOI | Download Preprint (ext.)
 
[110]
2016 | Published | Journal Article | IST-REx-ID: 18430
Bian, Xiao, Hamid Krim, Alex M. Bronstein, and Liyi Dai. “Sparsity and Nullity: Paradigms for Analysis Dictionary Learning.” SIAM Journal on Imaging Sciences. Society for Industrial & Applied Mathematics, 2016. https://doi.org/10.1137/15m1030376.
View | DOI
 
[109]
2016 | Published | Conference Paper | IST-REx-ID: 18434 | OA
Ovsjanikov, Maks, Etienne Corman, Michael Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas Guibas, Frederic Chazal, and Alex M. Bronstein. “Computing and Processing Correspondences with Functional Maps.” In SIGGRAPH ASIA 2016 Courses. ACM, 2016. https://doi.org/10.1145/2988458.2988494.
[Preprint] View | DOI | Download Preprint (ext.)
 
[108]
2016 | Published | Book Chapter | IST-REx-ID: 18328
Pokrass, Jonathan, Alex M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, and Guillermo Sapiro. “Sparse Models for Intrinsic Shape Correspondence.” In Perspectives in Shape Analysis, edited by Michael Breuß, Alfred Bruckstein, Petros Maragos, and Stefanie Wuhrer, 1st ed., 211–30. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-24726-7_10.
View | DOI
 
[107]
2015 | Published | Conference Paper | IST-REx-ID: 18387
Bian, Xiao, Hamid Krim, Alex M. Bronstein, and Liyi Dai. “Sparse Null Space Basis Pursuit and Analysis Dictionary Learning for High-Dimensional Data Analysis.” In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. https://doi.org/10.1109/icassp.2015.7178678.
View | DOI
 
[106]
2015 | Published | Conference Paper | IST-REx-ID: 18380
Litman, Roee, Simon Korman, Alex M. Bronstein, and Shai Avidan. “Inverting RANSAC: Global Model Detection via Inlier Rate Estimation.” In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2015. https://doi.org/10.1109/cvpr.2015.7299161.
View | DOI
 
[105]
2015 | Published | Conference Paper | IST-REx-ID: 18400
Menashe, Ohad, and Alex M. Bronstein. “Real-Time Compressed Imaging of Scattering Volumes.” In 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. https://doi.org/10.1109/icip.2014.7025264.
View | DOI
 
[104]
2015 | Published | Conference Paper | IST-REx-ID: 18401
Draelos, Mark, Qiang Qiu, Alex M. Bronstein, and Guillermo Sapiro. “Intel Realsense = Real Low Cost Gaze.” In 2015 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. https://doi.org/10.1109/icip.2015.7351256.
View | DOI
 
[103]
2015 | Published | Journal Article | IST-REx-ID: 18416
Eynard, Davide, Artiom Kovnatsky, Michael M. Bronstein, Klaus Glashoff, and Alex M. Bronstein. “Multimodal Manifold Snalysis by Simultaneous Diagonalization of Laplacians.” IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2015. https://doi.org/10.1109/tpami.2015.2408348.
View | DOI | PubMed | Europe PMC
 
[102]
2015 | Published | Journal Article | IST-REx-ID: 18415 | OA
Sprechmann, P., Alex M. Bronstein, and G. Sapiro. “Learning Efficient Sparse and Low Rank Models.” IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2015. https://doi.org/10.1109/tpami.2015.2392779.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[101]
2015 | Published | Journal Article | IST-REx-ID: 18365 | OA
Simpson-Lavy, Kobi J., Alex M. Bronstein, Martin Kupiec, and Mark Johnston. “Cross-Talk between Carbon Cetabolism and the DNA Camage Response in S. Cerevisiae.” Cell Reports. Elsevier, 2015. https://doi.org/10.1016/j.celrep.2015.08.025.
[Published Version] View | DOI | Download Published Version (ext.)
 
[100]
2015 | Published | Journal Article | IST-REx-ID: 18424 | OA
Korman, Simon, Roee Litman, Shai Avidan, and Alex M. Bronstein. “Probably Approximately Symmetric: Fast Rigid Symmetry Detection with Global Guarantees.” Computer Graphics Forum. Wiley, 2015. https://doi.org/10.1111/cgf.12454.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[99]
2015 | Published | Journal Article | IST-REx-ID: 18436 | OA
Haim, Harel, Alex M. Bronstein, and Emanuel Marom. “Computational Multi-Focus Imaging Combining Sparse Model with Color Dependent Phase Mask.” Optics Express. Optica Publishing Group, 2015. https://doi.org/10.1364/oe.23.024547.
[Published Version] View | DOI | Download Published Version (ext.)
 
[98]
2015 | Published | Conference Paper | IST-REx-ID: 18439 | OA
Qiu, Qiang, Zhuoqing Chang, Mark Draelos, Jie Chen, Alex M. Bronstein, and Guillermo Sapiro. “Low-Cost Gaze and Pulse Analysis Using Realsense.” In Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare. ICST, 2015. https://doi.org/10.4108/eai.14-10-2015.2261657.
[Published Version] View | DOI | Download Published Version (ext.)
 
[97]
2015 | Published | Journal Article | IST-REx-ID: 18425
Biasotti, S., A. Cerri, Alex M. Bronstein, and M. Bronstein. “Recent Trends, Applications, and Perspectives in 3D Shape Similarity Assessment.” Computer Graphics Forum. Wiley, 2015. https://doi.org/10.1111/cgf.12734.
View | DOI
 
[96]
2015 | Published | Book Chapter | IST-REx-ID: 18326
Bronstein, Alex M., and Michael M. Bronstein. “Manifold Intrinsic Similarity.” In Handbook of Mathematical Methods in Imaging, edited by Otmar Scherzer, 2nd ed., 1859–1908. New York: Springer Nature, 2015. https://doi.org/10.1007/978-1-4939-0790-8_57.
View | DOI
 
[95]
2015 | Published | Book Chapter | IST-REx-ID: 18327
Sprechmann, Pablo, Alex M. Bronstein, and Guillermo Sapiro. “Supervised Non-Negative Matrix Factorization for Audio Source Separation.” In Excursions in Harmonic Analysis, Volumne 4, 1st ed., 407–20. Cham: Springer Nature, 2015. https://doi.org/10.1007/978-3-319-20188-7_16.
View | DOI
 
[94]
2015 | Published | Journal Article | IST-REx-ID: 18371
Aflalo, Yonathan, Alex M. Bronstein, and Ron Kimmel. “On Convex Relaxation of Graph Isomorphism.” Proceedings of the National Academy of Sciences. National Academy of Sciences, 2015. https://doi.org/10.1073/pnas.1401651112.
View | DOI | PubMed | Europe PMC
 
[93]
2014 | Published | Conference Paper | IST-REx-ID: 18384
Sprechmann, Pablo, Alex M. Bronstein, and Guillermo Sapiro. “Supervised Non-Euclidean Sparse NMF via Bilevel Optimization with Applications to Speech Enhancement.” In 2014 4th Joint Workshop on Hands-Free Speech Communication and Microphone Arrays (HSCMA). IEEE, 2014. https://doi.org/10.1109/hscma.2014.6843241.
View | DOI
 
[92]
2014 | Published | Journal Article | IST-REx-ID: 18413
Litman, R., and Alex M. Bronstein. “Learning Spectral Descriptors for Deformable Shape Correspondence.” IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2014. https://doi.org/10.1109/tpami.2013.148.
View | DOI | PubMed | Europe PMC
 
[91]
2014 | Published | Journal Article | IST-REx-ID: 18414 | OA
Masci, Jonathan, Michael M. Bronstein, Alex M. Bronstein, and Jurgen Schmidhuber. “Multimodal Similarity-Preserving Hashing.” IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2014. https://doi.org/10.1109/tpami.2013.225.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[90]
2014 | Published | Journal Article | IST-REx-ID: 18423
Litman, Roee, Alex M. Bronstein, Michael Bronstein, and Umberto Castellani. “Supervised Learning of Bag‐of‐features Shape Descriptors Using Sparse Coding.” Computer Graphics Forum. Wiley, 2014. https://doi.org/10.1111/cgf.12438.
View | DOI
 
[89]
2014 | Published | Journal Article | IST-REx-ID: 18353
Raviv, Dan, Alex M. Bronstein, Michael M. Bronstein, Dan Waisman, Nir Sochen, and Ron Kimmel. “Equi-Affine Invariant Geometry for Shape Analysis.” Journal of Mathematical Imaging and Vision. Springer Nature, 2014. https://doi.org/10.1007/s10851-013-0467-y.
View | DOI
 
[88]
2013 | Published | Conference Paper | IST-REx-ID: 18395
Saabni, Raid, and Alex M. Bronstein. “Fast Key-Word Searching Using ‘BoostMap’ Based Embedding.” In 2012 International Conference on Frontiers in Handwriting Recognition. IEEE, 2013. https://doi.org/10.1109/icfhr.2012.204.
View | DOI
 
[87]
2013 | Published | Conference Paper | IST-REx-ID: 18386
Sprechmann, Pablo, Alex M. Bronstein, Jean-Michel Morel, and Guillermo Sapiro. “Audio Restoration from Multiple Copies.” In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2013. https://doi.org/10.1109/icassp.2013.6637774.
View | DOI
 
[86]
2013 | Published | Conference Paper | IST-REx-ID: 18385
Sprechmann, Pablo, Alex M. Bronstein, Michael Bronstein, and Guillermo Sapiro. “Learnable Low Rank Sparse Models for Speech Denoising.” In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2013. https://doi.org/10.1109/icassp.2013.6637624.
View | DOI
 
[85]
2013 | Published | Journal Article | IST-REx-ID: 18437 | OA
Gazy, Inbal, Batia Liefshitz, Alex M. Bronstein, Oren Parnas, Nir Atias, Roded Sharan, and Martin Kupiec. “A Genetic Screen for High Copy Number Suppressors of the Synthetic Lethality between Elg1Δ and Srs2Δ in Yeast.” G3: Genes, Genomes, Genetics. Oxford University Press, 2013. https://doi.org/10.1534/g3.113.005561.
[Published Version] View | DOI | Download Published Version (ext.)
 
[84]
2013 | Published | Journal Article | IST-REx-ID: 18422 | OA
Pokrass, J., Alex M. Bronstein, M. M. Bronstein, P. Sprechmann, and G. Sapiro. “Sparse Modeling of Intrinsic Correspondences.” Computer Graphics Forum. Wiley, 2013. https://doi.org/10.1111/cgf.12066.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[83]
2013 | Published | Journal Article | IST-REx-ID: 18421 | OA
Kovnatsky, A., M. M. Bronstein, Alex M. Bronstein, K. Glashoff, and R. Kimmel. “Coupled Quasi‐harmonic Bases.” Computer Graphics Forum. Wiley, 2013. https://doi.org/10.1111/cgf.12064.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[82]
2013 | Published | Journal Article | IST-REx-ID: 18441
Bronstein, Alex M., Jonathan Pokrass, and Michael M. Bronstein. “Partial Shape Matching without Point-Wise Correspondence.” Numerical Mathematics: Theory, Methods and Applications. Global Science Press, 2013. https://doi.org/10.4208/nmtma.2013.mssvm12.
View | DOI
 
[81]
2013 | Published | Journal Article | IST-REx-ID: 18440
Bronstein, Alex M., Artiom Kovnatsky, Dan Raviv, Michael M. Bronstein, and Ron Kimmel. “Geometric and Photometric Data Fusion in Non-Rigid Shape Analysis.” Numerical Mathematics: Theory, Methods and Applications. Global Science Press, 2013. https://doi.org/10.4208/nmtma.2013.mssvm11.
View | DOI
 
[80]
2013 | Published | Book Chapter | IST-REx-ID: 18352
Litman, Roee, Alex M. Bronstein, and Michael M. Bronstein. “Stable Semi-Local Features for Non-Rigid Shapes.” In Innovations for Shape Analysis, edited by Michael Breuß, Alfred Bruckstein, and Petros Maragos, 161–89. MATHVISUAL. Berlin, Heidelberg: Springer Nature, 2013. https://doi.org/10.1007/978-3-642-34141-0_8.
View | DOI
 
[79]
2013 | Published | Book Chapter | IST-REx-ID: 18351
Rosman, Guy, Michael M. Bronstein, Alex M. Bronstein, Alon Wolf, and Ron Kimmel. “Group-Valued Regularization for Motion Segmentation of Articulated Shapes.” In Innovations for Shape Analysis, edited by Michael Breuß, Alfred Bruckstein, and Petros Maragos, 263–81. MATHVISUAL. Berlin, Heidelberg: Springer Nature, 2013. https://doi.org/10.1007/978-3-642-34141-0_12.
View | DOI
 
[78]
2012 | Published | Conference Paper | IST-REx-ID: 18344
Hooda, Amit, Michael M. Bronstein, Alex M. Bronstein, and Radu P. Horaud. “Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes.” In Scale Space and Variational Methods in Computer Vision, 6667:665–676. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-24785-9_56.
View | DOI
 
[77]
2012 | Published | Conference Paper | IST-REx-ID: 18378
Kokkinos, I., M. M. Bronstein, R. Litman, and Alex M. Bronstein. “Intrinsic Shape Context Descriptors for Deformable Shapes.” In 2012 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2012. https://doi.org/10.1109/cvpr.2012.6247671.
View | DOI
 
[76]
2012 | Published | Conference Paper | IST-REx-ID: 18379
Rodola, E., Alex M. Bronstein, A. Albarelli, F. Bergamasco, and A. Torsello. “A Game-Theoretic Approach to Deformable Shape Matching.” In 2012 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2012. https://doi.org/10.1109/cvpr.2012.6247674.
View | DOI
 
[75]
2012 | Published | Conference Paper | IST-REx-ID: 18345
Aflalo, Yonathan, Alex M. Bronstein, Michael M. Bronstein, and Ron Kimmel. “Deformable Shape Retrieval by Learning Diffusion Kernels.” In 3rd International Conference on Scale Space and Variational Methods in Computer Vision, 6667:689–700. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-24785-9_58.
View | DOI
 
[74]
2012 | Published | Conference Paper | IST-REx-ID: 18342
Pokrass, Jonathan, Alex M. Bronstein, and Michael M. Bronstein. “A Correspondence-Less Approach to Matching of Deformable Shapes.” In 3rd International Conference on Scale Space and Variational Methods in Computer Vision, 6667:592–603. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-24785-9_50.
View | DOI
 
[73]
2012 | Published | Conference Paper | IST-REx-ID: 18346
Rosman, Guy, Michael M. Bronstein, Alex M. Bronstein, Alon Wolf, and Ron Kimmel. “Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-Rigid Shapes.” In 3rd International Conference on Scale Space and Variational Methods in Computer Vision, 6667:725–36. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-24785-9_61.
View | DOI
 
[72]
2012 | Published | Conference Paper | IST-REx-ID: 18341
Wang, Chaohui, Michael M. Bronstein, Alex M. Bronstein, and Nikos Paragios. “Discrete Minimum Distortion Correspondence Problems for Non-Rigid Shape Matching.” In 3rd International Conference on Scale Space and Variational Methods in Computer Vision, 6667:580–91. Berlin, Heidelberg: Springer Nature, 2012. https://doi.org/10.1007/978-3-642-24785-9_49.
View | DOI
 
[71]
2012 | Published | Conference Paper | IST-REx-ID: 18348
Rosman, Guy, Alex M. Bronstein, Michael M. Bronstein, Xue-Cheng Tai, and Ron Kimmel. “Group-Valued Regularization for Analysis of Articulated Motion.” In Computer Vision, ECCV 2012 - Workshops and Demonstrations, 7583:52–62. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-33863-2_6.
View | DOI
 
[70]
2012 | Published | Conference Paper | IST-REx-ID: 18349
Kovnatsky, Artiom, Michael M. Bronstein, and Alex M. Bronstein. “Stable Spectral Mesh Filtering.” In Computer Vision, ECCV 2012 - Workshops and Demonstrations, 7583:83–91. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-33863-2_9.
View | DOI
 
[69]
2012 | Published | Conference Paper | IST-REx-ID: 18350
Raviv, Dan, Alex M. Bronstein, Michael M. Bronstein, Ron Kimmel, and Nir Sochen. “Equi-Affine Invariant Geometries of Articulated Objects.” In 15th International Workshop on Theoretical Foundations of Computer Vision, 7474:177–90. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-34091-8_8.
View | DOI
 
[68]
2012 | Published | Conference Paper | IST-REx-ID: 18343
Kovnatsky, Artiom, Michael M. Bronstein, Alex M. Bronstein, and Ron Kimmel. “Photometric Heat Kernel Signatures.” In 3rd International Conference on Scale Space and Variational Methods in Computer Vision, 6667:616–27. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-24785-9_52.
View | DOI
 
[67]
2012 | Published | Conference Paper | IST-REx-ID: 18347
Litany, Or, Alex M. Bronstein, and Michael M. Bronstein. “Putting the Pieces Together: Regularized Multi-Part Shape Matching.” In Computer Vision, ECCV 2012 - Workshops and Demonstrations, 7583:1–11. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-33863-2_1.
View | DOI
 
[66]
2012 | Published | Book (Editor) | IST-REx-ID: 18340
Bruckstein, Alfred M., Bart M. ter Haar Romeny, Alexander Bronstein, and Michael M. Bronstein, eds. Scale Space and Variational Methods in Computer Vision. 1st ed. Vol. 6667. LNCS. Berlin, Heidelberg: Springer Nature, 2012. https://doi.org/10.1007/978-3-642-24785-9.
View | DOI
 
[65]
2012 | Published | Book Chapter | IST-REx-ID: 18325
Bronstein, Alex M., Michael M. Bronstein, and Maks Ovsjanikov. “Feature-Based Methods in 3D Shape Analysis.” In 3D Imaging, Analysis and Applications, edited by Nick Pears, Yonghuai Liu, and Peter Bunting, 185–219. London: Springer Nature, 2012. https://doi.org/10.1007/978-1-4471-4063-4_5.
View | DOI
 
[64]
2012 | Published | Journal Article | IST-REx-ID: 18364
Litman, R., Alex M. Bronstein, and M.M. Bronstein. “Stable Volumetric Features in Deformable Shapes.” Computers & Graphics. Elsevier, 2012. https://doi.org/10.1016/j.cag.2012.03.034.
View | DOI
 
[63]
2012 | Published | Journal Article | IST-REx-ID: 18412
Strecha, C., Alex M. Bronstein, M. M. Bronstein, and P. Fua. “LDAHash: Improved Matching with Smaller Descriptors.” IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers, 2012. https://doi.org/10.1109/tpami.2011.103.
View | DOI | PubMed | Europe PMC
 
[62]
2011 | Published | Conference Paper | IST-REx-ID: 18394
Saabni, Raid, and Alex M. Bronstein. “Fast Key-Word Searching via Embedding and Active-DTW.” In 2011 International Conference on Document Analysis and Recognition. IEEE, 2011. https://doi.org/10.1109/icdar.2011.23.
View | DOI
 
[61]
2011 | Published | Conference Paper | IST-REx-ID: 18406
Michel, Fabrice, Michael Bronstein, Alex M. Bronstein, and Nikos Paragios. “Boosted Metric Learning for 3D Multi-Modal Deformable Registration.” In 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE, 2011. https://doi.org/10.1109/isbi.2011.5872619.
View | DOI
 
[60]
2011 | Published | Conference Paper | IST-REx-ID: 18377 | OA
Raviv, Dan, Michael M. Bronstein, Alex M. Bronstein, Ron Kimmel, and Nir Sochen. “Affine-Invariant Diffusion Geometry for the Analysis of Deformable 3D Shapes.” In CVPR 2011. IEEE, 2011. https://doi.org/10.1109/cvpr.2011.5995486.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[59]
2011 | Published | Journal Article | IST-REx-ID: 18433
Bronstein, Alex M., Michael M. Bronstein, Leonidas J. Guibas, and Maks Ovsjanikov. “Shape Google: Geometric Words and Expressions for Invariant Shape Retrieval.” ACM Transactions on Graphics. Association for Computing Machinery, 2011. https://doi.org/10.1145/1899404.1899405.
View | DOI
 
[58]
2011 | Published | Journal Article | IST-REx-ID: 18362 | OA
Litman, Roee, Alex M. Bronstein, and Michael M. Bronstein. “Diffusion-Geometric Maximally Stable Component Detection in Deformable Shapes.” Computers & Graphics. Elsevier, 2011. https://doi.org/10.1016/j.cag.2011.03.011.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[57]
2011 | Published | Journal Article | IST-REx-ID: 18363 | OA
Raviv, Dan, Alex M. Bronstein, Michael M. Bronstein, Ron Kimmel, and Nir Sochen. “Affine-Invariant Geodesic Geometry of Deformable 3D Shapes.” Computers & Graphics. Elsevier, 2011. https://doi.org/10.1016/j.cag.2011.03.030.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[56]
2011 | Published | Journal Article | IST-REx-ID: 18411
Bronstein, Michael M, and Alex M. Bronstein. “Shape Recognition with Spectral Distances.” IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers, 2011. https://doi.org/10.1109/tpami.2010.210.
View | DOI | PubMed | Europe PMC
 
[55]
2010 | Published | Conference Paper | IST-REx-ID: 18376
Bronstein, Michael M., Alex M. Bronstein, Fabrice Michel, and Nikos Paragios. “Data Fusion through Cross-Modality Metric Learning Using Similarity-Sensitive Hashing.” In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 3594–3601. IEEE, 2010. https://doi.org/10.1109/cvpr.2010.5539928.
View | DOI
 
[54]
2010 | Published | Conference Paper | IST-REx-ID: 18338
Bronstein, Alex M., and Michael M. Bronstein. “Spatially-Sensitive Affine-Invariant Image Descriptors.” In 11th European Conference on Computer Vision, 6312:197–208. Springer Nature, 2010. https://doi.org/10.1007/978-3-642-15552-9_15.
View | DOI
 
[53]
2010 | Published | Conference Paper | IST-REx-ID: 18432
Raviv, Dan, Michael M. Bronstein, Alex M. Bronstein, and Ron Kimmel. “Volumetric Heat Kernel Signatures.” In Proceedings of the ACM Workshop on 3D Object Retrieval, 39–44. ACM, 2010. https://doi.org/10.1145/1877808.1877817.
View | DOI
 
[52]
2010 | Published | Conference Paper | IST-REx-ID: 18339
Mitra, Niloy J., Alex M. Bronstein, and Michael Bronstein. “Intrinsic Regularity Detection in 3D Geometry.” In 11th European Conference on Computer Vision, 6313:398–410. Springer Nature, 2010. https://doi.org/10.1007/978-3-642-15558-1_29.
View | DOI
 
[51]
2010 | Published | Journal Article | IST-REx-ID: 18358
Bronstein, Alex M., Michael M. Bronstein, Ron Kimmel, Mona Mahmoudi, and Guillermo Sapiro. “A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-Rigid Shape Matching.” International Journal of Computer Vision. Springer Nature, 2010. https://doi.org/10.1007/s11263-009-0301-6.
View | DOI
 
[50]
2010 | Published | Journal Article | IST-REx-ID: 18359
Raviv, Dan, Alex M. Bronstein, Michael M. Bronstein, and Ron Kimmel. “Full and Partial Symmetries of Non-Rigid Shapes.” International Journal of Computer Vision. Springer Nature, 2010. https://doi.org/10.1007/s11263-010-0320-3.
View | DOI
 
[49]
2010 | Published | Journal Article | IST-REx-ID: 18360 | OA
Rosman, Guy, Michael M. Bronstein, Alex M. Bronstein, and Ron Kimmel. “Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding.” International Journal of Computer Vision. Springer Nature, 2010. https://doi.org/10.1007/s11263-010-0322-1.
[Published Version] View | DOI | Download Published Version (ext.)
 
[48]
2009 | Published | Journal Article | IST-REx-ID: 18438 | OA
Bronstein, Alex M., Michael M. Bronstein, Yair Carmon, and Ron Kimmel. “Partial Similarity of Shapes Using a Statistical Significance Measure.” IPSJ Transactions on Computer Vision and Applications. Information Processing Society of Japan, 2009. https://doi.org/10.2197/ipsjtcva.1.105.
[Published Version] View | DOI | Download Published Version (ext.)
 
[47]
2009 | Published | Journal Article | IST-REx-ID: 18356
Bronstein, Alex M., Michael M. Bronstein, Alfred M. Bruckstein, and Ron Kimmel. “Partial Similarity of Objects, or How to Compare a Centaur to a Horse.” International Journal of Computer Vision. Springer Nature, 2009. https://doi.org/10.1007/s11263-008-0147-3.
View | DOI
 
[46]
2009 | Published | Journal Article | IST-REx-ID: 18357
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Topology-Invariant Similarity of Nonrigid Shapes.” International Journal of Computer Vision. Springer Nature, 2009. https://doi.org/10.1007/s11263-008-0172-2.
View | DOI
 
[45]
2009 | Published | Conference Paper | IST-REx-ID: 18391
Rubinstein, O., Y. Honen, Alex M. Bronstein, M. M. Bronstein, and R. Kimmel. “3D-Color Video Camera.” In 12th International Conference on Computer Vision Workshops. IEEE, 2009. https://doi.org/10.1109/iccvw.2009.5457433.
View | DOI
 
[44]
2009 | Published | Conference Paper | IST-REx-ID: 18392
Ovsjanikov, Maks, Alex M. Bronstein, Michael M. Bronstein, and Leonidas J. Guibas. “Shape Google: A Computer Vision Approach to Isometry Invariant Shape Retrieval.” In 12th International Conference on Computer Vision Workshops. IEEE, 2009. https://doi.org/10.1109/iccvw.2009.5457682.
View | DOI
 
[43]
2009 | Published | Conference Paper | IST-REx-ID: 18393
Devir, Yohai S., Guy Rosman, Alex M. Bronstein, Michael M. Bronstein, and Ron Kimmel. “On Reconstruction of Non-Rigid Shapes with Intrinsic Regularization.” In 12th International Conference on Computer Vision Workshops. IEEE, 2009. https://doi.org/10.1109/iccvw.2009.5457688.
View | DOI
 
[42]
2008 | Published | Journal Article | IST-REx-ID: 18431
Weber, Ofir, Yohai S. Devir, Alex M. Bronstein, Michael M. Bronstein, and Ron Kimmel. “Parallel Algorithms for Approximation of Distance Maps on Parametric Surfaces.” ACM Transactions on Graphics. Association for Computing Machinery, 2008. https://doi.org/10.1145/1409625.1409626.
View | DOI
 
[41]
2008 | Published | Conference Paper | IST-REx-ID: 18337
Bronstein, Alex M., and Michael M. Bronstein. “Regularized Partial Matching of Rigid Shapes.” In 10th European Conference on Computer Vision, 5303:143–54. Springer Berlin Heidelberg, 2008. https://doi.org/10.1007/978-3-540-88688-4_11.
View | DOI
 
[40]
2008 | Published | Journal Article | IST-REx-ID: 18355
Bronstein, Alex M., Michael M. Bronstein, Alfred M. Bruckstein, and Ron Kimmel. “Analysis of Two-Dimensional Non-Rigid Shapes.” International Journal of Computer Vision. Springer Nature, 2008. https://doi.org/10.1007/s11263-007-0078-4.
View | DOI
 
[39]
2008 | Published | Conference Paper | IST-REx-ID: 18381
Bronstein, Alex M., and Michael M. Bronstein. “Not Only Size Matters: Regularized Partial Matching of Nonrigid Shapes.” In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. IEEE, 2008. https://doi.org/10.1109/cvprw.2008.4563077.
View | DOI
 
[38]
2007 | Published | Journal Article | IST-REx-ID: 18420
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Calculus of Nonrigid Surfaces for Geometry and Texture Manipulation.” IEEE Transactions on Visualization and Computer Graphics. IEEE, 2007. https://doi.org/10.1109/tvcg.2007.1041.
View | DOI
 
[37]
2007 | Published | Conference Paper | IST-REx-ID: 18336
Bronstein, Alex M., Michael M. Bronstein, Alfred M. Bruckstein, and Ron Kimmel. “Paretian Similarity for Partial Comparison of Non-Rigid Objects.” In First International Conference on Scale Space and Variational Methods in Computer Vision, 4485:264–75. Springer Nature, 2007. https://doi.org/10.1007/978-3-540-72823-8_23.
View | DOI
 
[36]
2007 | Published | Journal Article | IST-REx-ID: 18367
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Weighted Distance Maps Computation on Parametric Three-Dimensional Manifolds.” Journal of Computational Physics. Elsevier, 2007. https://doi.org/10.1016/j.jcp.2007.01.009.
View | DOI
 
[35]
2007 | Published | Conference Paper | IST-REx-ID: 18389
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Rock, Paper, and Scissors: Extrinsic vs. Intrinsic Similarity of Non-Rigid Shapes.” In 11th International Conference on Computer Vision. IEEE, 2007. https://doi.org/10.1109/iccv.2007.4409076.
View | DOI
 
[34]
2007 | Published | Conference Paper | IST-REx-ID: 18390
Raviv, Dan, Alex M. Bronstein, Michael M. Bronstein, and Ron Kimmel. “Symmetries of Non-Rigid Shapes.” In 11th International Conference on Computer Vision, Vol. 72. IEEE, 2007. https://doi.org/10.1109/iccv.2007.4409181.
View | DOI
 
[33]
2006 | Published | Journal Article | IST-REx-ID: 18429
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Efficient Computation of Isometry-Invariant Distances between Surfaces.” SIAM Journal on Scientific Computing. Society for Industrial & Applied Mathematics, 2006. https://doi.org/10.1137/050639296.
View | DOI
 
[32]
2006 | Published | Journal Article | IST-REx-ID: 18318
Bronstein, M. M., Alex M. Bronstein, R. Kimmel, and I. Yavneh. “Multigrid Multidimensional Scaling.” Numerical Linear Algebra with Applications. Wiley, 2006. https://doi.org/10.1002/nla.475.
View | DOI
 
[31]
2006 | Published | Conference Paper | IST-REx-ID: 18320
Bronstein, Alex M., Michael M. Bronstein, and Michael Zibulevsky. “On Separation of Semitransparent Dynamic Images from Static Background.” In 6th International Conference on Independent Component Analysis and Signal Separation, 3889:934–40. Springer Nature, 2006. https://doi.org/10.1007/11679363_116.
View | DOI
 
[30]
2006 | Published | Conference Paper | IST-REx-ID: 18321
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Robust Expression-Invariant Face Recognition from Partially Missing Data.” In 9th European Conference on Computer Vision, Vol. 3953. Springer Nature, 2006. https://doi.org/10.1007/11744078_31.
View | DOI
 
[29]
2006 | Published | Conference Paper | IST-REx-ID: 18322
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Facetoface: An Isometric Model for Facial Animation.” In 4th International Conference on Articulated Motion and Deformable Objects, 4069:38–47. Springer Nature, 2006. https://doi.org/10.1007/11789239_5.
View | DOI
 
[28]
2006 | Published | Conference Paper | IST-REx-ID: 18323
Bronstein, Alex M., Michael M. Bronstein, Alfred M. Bruckstein, and Ron Kimmel. “Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling.” In 4th International Conference on Articulated Motion and Deformable Objects, 4069:48–57. Springer Nature, 2006. https://doi.org/10.1007/11789239_6.
View | DOI
 
[27]
2006 | Published | Journal Article | IST-REx-ID: 18370
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Generalized Multidimensional Scaling: A Framework for Isometry-Invariant Partial Surface Matching.” PNAS. National Academy of Sciences, 2006. https://doi.org/10.1073/pnas.0508601103.
View | DOI | PubMed | Europe PMC
 
[26]
2006 | Published | Journal Article | IST-REx-ID: 18408
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Expression-Invariant Representations of Faces.” IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers, 2006. https://doi.org/10.1109/tip.2006.884940.
View | DOI | PubMed | Europe PMC
 
[25]
2005 | Published | Journal Article | IST-REx-ID: 18417
Bronstein, Alex M., M.M. Bronstein, and M. Zibulevsky. “Relative Optimization for Blind Deconvolution.” IEEE Transactions on Signal Processing. Institute of Electrical and Electronics Engineers (IEEE), 2005. https://doi.org/10.1109/tsp.2005.847822.
View | DOI
 
[24]
2005 | Published | Journal Article | IST-REx-ID: 18418
Bronstein, Alex M., M.M. Bronstein, and M. Zibulevsky. “Quasi Maximum Likelihood MIMO Blind Deconvolution: Super- and Sub-Gaussianity versus Consistency.” IEEE Transactions on Signal Processing. Institute of Electrical and Electronics Engineers (IEEE), 2005. https://doi.org/10.1109/tsp.2005.849221.
View | DOI
 
[23]
2005 | Published | Journal Article | IST-REx-ID: 18317
Bronstein, Alex M., Michael M. Bronstein, Michael Zibulevsky, and Yehoshua Y. Zeevi. “Sparse ICA for Blind Separation of Transmitted and Reflected Images.” International Journal of Imaging Systems and Technology. Wiley, 2005. https://doi.org/10.1002/ima.20042.
View | DOI
 
[22]
2005 | Published | Conference Paper | IST-REx-ID: 18319
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Isometric Embedding of Facial Surfaces into S3.” In 5th International Conference on Scale-Space Theories in Computer Vision, 3459:622–31. Springer Berlin Heidelberg, 2005. https://doi.org/10.1007/11408031_53.
View | DOI
 
[21]
2005 | Published | Journal Article | IST-REx-ID: 18354
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Three-Dimensional Face Recognition.” International Journal of Computer Vision. Springer Nature, 2005. https://doi.org/10.1007/s11263-005-1085-y.
View | DOI
 
[20]
2005 | Published | Conference Paper | IST-REx-ID: 18398
Bronstein, Alex M., M.M. Bronstein, M. Zibulevsky, and Y.Y. Zeevi. “‘Unmixing’ Tissues: Sparse Component Analysis in Multi-Contrast MRI.” In IEEE International Conference on Image Processing, 2:1279–82. IEEE, 2005. https://doi.org/10.1109/icip.2005.1530297.
View | DOI
 
[19]
2005 | Published | Conference Paper | IST-REx-ID: 18399
Bronstein, Alex M., M.M. Bronstein, and R. Kimmel. “Expression-Invariant Face Recognition via Spherical Embedding.” In International Conference on Image Processing, 3:756–59. IEEE, 2005. https://doi.org/10.1109/icip.2005.1530502.
View | DOI
 
[18]
2005 | Published | Journal Article | IST-REx-ID: 18407
Bronstein, M.M., Alex M. Bronstein, M. Zibulevsky, and Y.Y. Zeevi. “Blind Deconvolution of Images Using Optimal Sparse Representations.” IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers, 2005. https://doi.org/10.1109/tip.2005.847322.
View | DOI | PubMed | Europe PMC
 
[17]
2004 | Published | Conference Paper | IST-REx-ID: 18332
Bronstein, Alex M., Michael M. Bronstein, and Michael Zibulevsky. “Blind Source Separation Using the Block-Coordinate Relative Newton Method.” In 5th International Conference on Independent Component Analysis and Blind Signal Separation, 3195:406–413. Springer Nature, 2004. https://doi.org/10.1007/978-3-540-30110-3_52.
View | DOI
 
[16]
2004 | Published | Conference Paper | IST-REx-ID: 18334
Bronstein, Alex M., Michael M. Bronstein, and Michael Zibulevsky. “Blind Deconvolution Using the Relative Newton Method.” In 5th International Conference on Independent Component Analysis and Blind Signal Separation, 3195:554–561. Berlin, Heidelberg: Springer Nature, 2004. https://doi.org/10.1007/978-3-540-30110-3_71.
View | DOI
 
[15]
2004 | Published | Conference Paper | IST-REx-ID: 18331
Bronstein, Alex M., Michael M. Bronstein, Alon Spira, and Ron Kimmel. “Face Recognition from Facial Surface Metric.” In 8th European Conference on Computer Vision, 3022:225–237. Springer Nature, 2004. https://doi.org/10.1007/978-3-540-24671-8_18.
View | DOI
 
[14]
2004 | Published | Conference Paper | IST-REx-ID: 18333
Bronstein, Alex M., Michael M. Bronstein, Michael Zibulevsky, and Yehoshua Y. Zeevi. “Optimal Sparse Representations for Blind Deconvolution of Images.” In 5th International Conference on Independent Component Analysis and Blind Signal Separation, 3195:500–507. Springer Nature, 2004. https://doi.org/10.1007/978-3-540-30110-3_64.
View | DOI
 
[13]
2004 | Published | Conference Paper | IST-REx-ID: 18335
Bronstein, Alex M., Michael M. Bronstein, Michael Zibulevsky, and Yehoshua Y. Zeevi. “QML Blind Deconvolution: Asymptotic Analysis.” In Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation, 3195:677–684. Springer Nature, 2004. https://doi.org/10.1007/978-3-540-30110-3_86.
View | DOI
 
[12]
2004 | Published | Journal Article | IST-REx-ID: 18368
Bronstein, Alex M., Michael M Bronstein, and Michael Zibulevsky. “Blind Source Separation Using Block-Coordinate Relative Newton Method.” Signal Processing. Elsevier, 2004. https://doi.org/10.1016/j.sigpro.2004.05.019.
View | DOI
 
[11]
2004 | Published | Conference Paper | IST-REx-ID: 18396
Bronstein, Alex M., M.M. Bronstein, E. Gordon, and R. Kimmel. “Fusion of 2D and 3D Data in Three-Dimensional Face Recognition.” In 2004 International Conference on Image Processing. IEEE, 2004. https://doi.org/10.1109/icip.2004.1418696.
View | DOI
 
[10]
2003 | Published | Conference Paper | IST-REx-ID: 18428
Bronstein, Alex M., Michael M. Bronstein, Michael Zibulevsky, and Yehoshua Y. Zeevi. “Separation of Reflections via Sparse ICA.” In SPIE Proceedings, edited by Michael A. Unser, Akram Aldroubi, and Andrew F. Laine, 5207:292–96. SPIE, 2003. https://doi.org/10.1117/12.505210.
View | DOI
 
[9]
2003 | Published | Conference Paper | IST-REx-ID: 18324
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Expression-Invariant 3D Face Recognition.” In 4th International Conference on Audio- and Video-Based Biometric Person Authentication, 2688:62–70. Springer Nature, 2003. https://doi.org/10.1007/3-540-44887-x_8.
View | DOI
 
[8]
2003 | Published | Journal Article | IST-REx-ID: 18410
Bronstein, Alex M., M.M. Bronstein, M. Zibulevsky, and Y.Y. Zeevi. “Optimal Nonlinear Line-of-Flight Estimation in Positron Emission Tomography.” IEEE Transactions on Nuclear Science. Institute of Electrical and Electronics Engineers, 2003. https://doi.org/10.1109/tns.2003.812434.
View | DOI
 
[7]
2002 | Published | Journal Article | IST-REx-ID: 18369
Bronstein, Michael M., and Alex M. Bronstein. “Biometrics Was No Match for Hair-Raising Tricks.” Nature. Springer Nature, 2002. https://doi.org/10.1038/420739a.
View | DOI | PubMed | Europe PMC
 
[6]
2002 | Published | Conference Paper | IST-REx-ID: 18382
Bronstein, Alex M., M.M. Bronstein, M. Zibulevsky, and Y.Y. Zeevi. “Optimal Non-Linear Line-of-Flight Estimation in Positron Emission Tomography.” In The 22nd Convention on Electrical and Electronics Engineers in Israel, 2002–January:341–44. IEEE, 2002. https://doi.org/10.1109/eeei.2002.1178493.
View | DOI
 
[5]
2002 | Published | Conference Paper | IST-REx-ID: 18383
Bronstein, M.M., Alex M. Bronstein, M. Zibulevsky, and H. Azhari. “Application of the NUFFT for Reconstruction Problems in Diffraction Tomography.” In The 22nd Convention on Electrical and Electronics Engineers in Israel, 2002–January:345–47. IEEE, 2002. https://doi.org/10.1109/eeei.2002.1178495.
View | DOI
 
[4]
2002 | Published | Conference Paper | IST-REx-ID: 18404
Bronstein, Alex M., M. Bronstein, M. Zibulevsky, and Y.Y. Zeevi. “Optimal Nonlinear Estimation of Photon Coordinates in PET.” In Proceedings IEEE International Symposium on Biomedical Imaging, 2002–January:541–44. IEEE, 2002. https://doi.org/10.1109/isbi.2002.1029314.
View | DOI
 
[3]
2002 | Published | Conference Paper | IST-REx-ID: 18405
Bronstein, M., Alex M. Bronstein, and M. Zibulevsky. “Iterative Reconstruction in Diffraction Tomography Using Nonuniform Fast Fourier Transform.” In Proceedings IEEE International Symposium on Biomedical Imaging, 2002–January:633–36. IEEE, 2002. https://doi.org/10.1109/isbi.2002.1029337.
View | DOI
 
[2]
2002 | Published | Journal Article | IST-REx-ID: 18409
Bronstein, M.M., Alex M. Bronstein, M. Zibulevsky, and H. Azhari. “Reconstruction in Diffraction Ultrasound Tomography Using Nonuniform FFT.” IEEE Transactions on Medical Imaging. Institute of Electrical and Electronics Engineers, 2002. https://doi.org/10.1109/tmi.2002.806423.
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[1]
2001 | Published | Conference Paper | IST-REx-ID: 18397
Bronstein, M.M., Alex M. Bronstein, M. Zibulevsky, and Y.Y. Zeevi. “Optimal Sparse Representations for Blind Source Separation and Blind Deconvolution: A Learning Approach.” In 2004 International Conference on Image Processing. IEEE, 2001. https://doi.org/10.1109/icip.2004.1421428.
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[203]
2024 | Published | Journal Article | IST-REx-ID: 18203 | OA
Rosenberg, Aviv A., Ailie Marx, and Alex M. Bronstein. “A Dataset of Alternately Located Segments in Protein Crystal Structures.” Scientific Data. Springer Nature, 2024. https://doi.org/10.1038/s41597-024-03595-4.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[202]
2024 | Published | Journal Article | IST-REx-ID: 18204 | OA
Elul, Yonatan, Eyal Rozenberg, Amit Boyarski, Yael Yaniv, Assaf Schuster, and Alex M. Bronstein. “Data-Driven Modeling of Interrelated Dynamical Systems.” Communications Physics. Springer Nature, 2024. https://doi.org/10.1038/s42005-024-01626-5.
[Published Version] View | DOI | Download Published Version (ext.)
 
[201]
2024 | Published | Journal Article | IST-REx-ID: 18205 | OA
Wengrowicz, Omri, Alex M. Bronstein, and Oren Cohen. “Unsupervised Physics-Informed Deep Learning-Based Reconstruction for Time-Resolved Imaging by Multiplexed Ptychography.” Optics Express. Optica Publishing Group, 2024. https://doi.org/10.1364/oe.515445.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[200]
2024 | Published | Conference Paper | IST-REx-ID: 18206
Rave, Gilad, Daniel E. Fordham, Alex M. Bronstein, and David H. Silver. “Enhancing Predictive Accuracy in Embryo Implantation: The Bonna Algorithm and Its Clinical Implications.” In First International Conference on Artificial Intelligence in Healthcare, 14976:160–71. Springer Nature, 2024. https://doi.org/10.1007/978-3-031-67285-9_12.
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[199]
2023 | Published | Journal Article | IST-REx-ID: 18207 | OA
Bronstein, Alex M., and Ailie Marx. “Water Stabilizes an Alternate Turn Conformation in Horse Heart Myoglobin.” Scientific Reports. Springer Nature, 2023. https://doi.org/10.1038/s41598-023-32821-z.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[198]
2023 | Published | Journal Article | IST-REx-ID: 18208 | OA
Weiss, Tomer, Eduardo Mayo Yanes, Sabyasachi Chakraborty, Luca Cosmo, Alex M. Bronstein, and Renana Gershoni-Poranne. “Guided Diffusion for Inverse Molecular Design.” Nature Computational Science. Springer Nature, 2023. https://doi.org/10.1038/s43588-023-00532-0.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
[197]
2023 | Published | Journal Article | IST-REx-ID: 18209 | OA
Weiss, Tomer, Alexandra Wahab, Alex M. Bronstein, and Renana Gershoni-Poranne. “Interpretable Deep-Learning Unveils Structure–Property Relationships in Polybenzenoid Hydrocarbons.” The Journal of Organic Chemistry. American Chemical Society, 2023. https://doi.org/10.1021/acs.joc.2c02381.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
[196]
2023 | Published | Conference Paper | IST-REx-ID: 18212
Ye, Haojie, Sanketh Vedula, Yuhan Chen, Yichen Yang, Alex M. Bronstein, Ronald Dreslinski, Trevor Mudge, and Nishil Talati. “GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference.” In Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 11:282–301. Association for Computing Machinery, 2023. https://doi.org/10.1145/3582016.3582029.
View | Files available | DOI
 
[195]
2023 | Published | Journal Article | IST-REx-ID: 18213
Hermanns, Judith, Konstantinos Skitsas, Anton Tsitsulin, Marina Munkhoeva, Alexander Kyster, Simon Nielsen, Alex M. Bronstein, Davide Mottin, and Panagiotis Karras. “GRASP: Scalable Graph Alignment by Spectral Corresponding Functions.” ACM Transactions on Knowledge Discovery from Data. Association for Computing Machinery, 2023. https://doi.org/10.1145/3561058.
View | DOI
 
[194]
2023 | Published | Journal Article | IST-REx-ID: 18214 | OA
Chen, Yuhan, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald Dreslinski, Trevor Mudge, and Nishil Talati. “Demystifying Graph Sparsification Algorithms in Graph Properties Preservation.” Proceedings of the VLDB Endowment. Association for Computing Machinery, 2023. https://doi.org/10.14778/3632093.3632106.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[193]
2023 | Published | Conference Paper | IST-REx-ID: 18215 | OA
Gahtan, Barak, Reuven Cohen, Alex M. Bronstein, and Gil Kedar. “Using Deep Reinforcement Learning for MmWave Real-Time Scheduling.” In 14th International Conference on Network of the Future, 71–79. IEEE, 2023. https://doi.org/10.1109/nof58724.2023.10302794.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[192]
2023 | Published | Journal Article | IST-REx-ID: 18216 | OA
Rosenberg, Aviv A., Nitsan Yehishalom, Ailie Marx, and Alex M. Bronstein. “An Amino-Domino Model Described by a Cross-Peptide-Bond Ramachandran Plot Defines Amino Acid Pairs as Local Structural Units.” Proceedings of the National Academy of Sciences. National Academy of Sciences, 2023. https://doi.org/10.1073/pnas.2301064120.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[191]
2023 | Published | Conference Paper | IST-REx-ID: 18217 | OA
Zadok, Dean, Oren Salzman, Alon Wolf, and Alex M. Bronstein. “Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation.” In 2023 IEEE International Conference on Robotics and Automation, Vol. 27. IEEE, 2023. https://doi.org/10.1109/icra48891.2023.10160601.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[190]
2023 | Published | Conference Paper | IST-REx-ID: 18218 | OA
Nemcovsky, Yaniv, Matan Jacoby, Alex M. Bronstein, and Chaim Baskin. “Physical Passive Patch Adversarial Attacks on Visual Odometry Systems.” In 16th Asian Conference on Computer Vision, 13847:518–34. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-26293-7_31.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[189]
2023 | Published | Journal Article | IST-REx-ID: 18219 | OA
Schwartz, Eli, Alex M. Bronstein, and Raja Giryes. “ISP Distillation.” IEEE Open Journal of Signal Processing. Institute of Electrical and Electronics Engineers, 2023. https://doi.org/10.1109/ojsp.2023.3239819.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
[188]
2022 | Published | Journal Article | IST-REx-ID: 18211
Nemcovsky, Yaniv, Evgenii Zheltonozhskii, Chaim Baskin, Brian Chmiel, Alex M. Bronstein, and Avi Mendelson. “Adversarial Robustness via Noise Injection in Smoothed Models.” Applied Intelligence. Springer Nature, 2022. https://doi.org/10.1007/s10489-022-03423-5.
View | DOI
 
[187]
2022 | Published | Journal Article | IST-REx-ID: 18220 | OA
Ackerman-Schraier, Linor, Aviv A. Rosenberg, Ailie Marx, and Alex M. Bronstein. “Machine Learning Approaches Demonstrate That Protein Structures Carry Information about Their Genetic Coding.” Scientific Reports. Springer Nature, 2022. https://doi.org/10.1038/s41598-022-25874-z.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[186]
2022 | Published | Journal Article | IST-REx-ID: 18221 | OA
Rosenberg, Aviv A., Ailie Marx, and Alex M. Bronstein. “Codon-Specific Ramachandran Plots Show Amino Acid Backbone Conformation Depends on Identity of the Translated Codon.” Nature Communications. Springer Nature, 2022. https://doi.org/10.1038/s41467-022-30390-9.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[185]
2022 | Published | Journal Article | IST-REx-ID: 18222 | OA
Fordham, Daniel E, Dror Rosentraub, Avital L Polsky, Talia Aviram, Yotam Wolf, Oriel Perl, Asnat Devir, et al. “Embryologist Agreement When Assessing Blastocyst Implantation Probability: Is Data-Driven Prediction the Solution to Embryo Assessment Subjectivity?” Human Reproduction. Oxford University Press, 2022. https://doi.org/10.1093/humrep/deac171.
[Published Version] View | DOI | Download Published Version (ext.)
 
[184]
2022 | Published | Book Chapter | IST-REx-ID: 18223
Rosenberg, Aviv A., Alex M. Bronstein, and Ailie Marx. “Recording Silence – Accurate Annotation of the Genetic Sequence Is Required to Better Understand How Synonymous Coding Affects Protein Structure and Disease.” In Single Nucleotide Polymorphisms, edited by Zuben E. Sauna and Chava Kimchi-Sarfaty, 37–47. Cham: Springer Nature, 2022. https://doi.org/10.1007/978-3-031-05616-1_3.
View | DOI
 
[183]
2022 | Published | Journal Article | IST-REx-ID: 18224 | OA
Schwartz, Eli, Leonid Karlinsky, Rogerio Feris, Raja Giryes, and Alex M. Bronstein. “Baby Steps towards Few-Shot Learning with Multiple Semantics.” Pattern Recognition Letters. Elsevier, 2022. https://doi.org/10.1016/j.patrec.2022.06.012.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[182]
2022 | Published | Journal Article | IST-REx-ID: 18225 | OA
Pai, Gautam, Alex M. Bronstein, Ronen Talmon, and Ron Kimmel. “Deep Isometric Maps.” Image and Vision Computing. Elsevier, 2022. https://doi.org/10.1016/j.imavis.2022.104461.
[Published Version] View | DOI | Download Published Version (ext.)
 
[181]
2022 | Published | Journal Article | IST-REx-ID: 18226 | OA
Rozenberg, Eyal, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Daniel Freedman, Alex M. Bronstein, and Ady Arie. “Inverse Design of Spontaneous Parametric Downconversion for Generation of High-Dimensional Qudits.” Optica. Optica Publishing Group, 2022. https://doi.org/10.1364/optica.451115.
[Published Version] View | DOI | Download Published Version (ext.)
 
[180]
2022 | Published | Journal Article | IST-REx-ID: 18227
Kang, Peipei, Zehang Lin, Zhenguo Yang, Alex M. Bronstein, Qing Li, and Wenyin Liu. “Deep Fused Two-Step Cross-Modal Hashing with Multiple Semantic Supervision.” Multimedia Tools and Applications. Springer Nature, 2022. https://doi.org/10.1007/s11042-022-12187-6.
View | DOI
 
[179]
2022 | Published | Conference Paper | IST-REx-ID: 18229 | OA
Amrani, Elad, Leonid Karlinsky, and Alex M. Bronstein. “Self-Supervised Classification Network.” In 17th European Conference on Computer Vision, 13691:116–32. Springer Nature, 2022. https://doi.org/10.1007/978-3-031-19821-2_7.
View | Files available | DOI | Download None (ext.) | arXiv
 
[178]
2022 | Published | Conference Paper | IST-REx-ID: 18230
Talati, Nishil, Haojie Ye, Sanketh Vedula, Kuan-Yu Chen, Yuhan Chen, Daniel Liu, Yichao Yuan, et al. “Mint: An Accelerator for Mining Temporal Motifs.” In 55th IEEE/ACM International Symposium on Microarchitecture. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/micro56248.2022.00089.
View | DOI
 
[177]
2022 | Published | Conference Paper | IST-REx-ID: 18231
Zheltonozhskii, Evgenii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, and Or Litany. “Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels.” In IEEE/CVF Winter Conference on Applications of Computer Vision, 387–97. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/wacv51458.2022.00046.
[Preprint] View | Files available | DOI | arXiv
 
[176]
2022 | Published | Journal Article | IST-REx-ID: 18232
Kang, Peipei, Zehang Lin, Zhenguo Yang, Xiaozhao Fang, Alex M. Bronstein, Qing Li, and Wenyin Liu. “Intra-Class Low-Rank Regularization for Supervised and Semi-Supervised Cross-Modal Retrieval.” Applied Intelligence. Springer Nature, 2022. https://doi.org/10.1007/s10489-021-02308-3.
View | DOI
 
[175]
2021 | Published | Conference Paper | IST-REx-ID: 18244 | OA
Livne, Amir, Ziv Aviv, Shahaf Grofit, Alex M. Bronstein, and Ron Kimmel. “Do We Need Depth in State-Uf-the-Art Face Authentication?” In 2020 International Conference on 3D Vision (3DV). IEEE, 2021. https://doi.org/10.1109/3dv50981.2020.00099.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[174]
2021 | Published | Conference Paper | IST-REx-ID: 18243
Hermanns, Judith, Anton Tsitsulin, Marina Munkhoeva, Alex M. Bronstein, Davide Mottin, and Panagiotis Karras. “GRASP: Graph Alignment through Spectral Signatures.” In International Joint Conference on Asia-Pacific Web and Web-Age Information Management, 12858:44–52. Springer Nature, 2021. https://doi.org/10.1007/978-3-030-85896-4_4.
View | DOI
 
[173]
2021 | Published | Journal Article | IST-REx-ID: 18233 | OA
Nahshan, Yury, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, and Avi Mendelson. “Loss Aware Post-Training Quantization.” Machine Learning. Springer Nature, 2021. https://doi.org/10.1007/s10994-021-06053-z.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[172]
2021 | Published | Journal Article | IST-REx-ID: 18234
Baskin, Chaim, Evgenii Zheltonozhkii, Tal Rozen, Natan Liss, Yoav Chai, Eli Schwartz, Raja Giryes, Alex M. Bronstein, and Avi Mendelson. “NICE: Noise Injection and Clamping Estimation for Neural Network Quantization.” Mathematics. MDPI, 2021. https://doi.org/10.3390/math9172144.
[Published Version] View | DOI | arXiv
 
[171]
2021 | Published | Journal Article | IST-REx-ID: 18235 | OA
Doveh, Sivan, Eli Schwartz, Chao Xue, Rogerio Feris, Alex M. Bronstein, Raja Giryes, and Leonid Karlinsky. “MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification.” Pattern Recognition Letters. Elsevier, 2021. https://doi.org/10.1016/j.patrec.2021.05.010.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[170]
2021 | Published | Journal Article | IST-REx-ID: 18236
Elul, Yonatan, Aviv A. Rosenberg, Assaf Schuster, Alex M. Bronstein, and Yael Yaniv. “Meeting the Unmet Needs of Clinicians from AI Systems Showcased for Cardiology with Deep-Learning–Based ECG Analysis.” Proceedings of the National Academy of Sciences. National Academy of Sciences, 2021. https://doi.org/10.1073/pnas.2020620118.
[Published Version] View | DOI | PubMed | Europe PMC
 
[169]
2021 | Published | Journal Article | IST-REx-ID: 18237 | OA
Baskin, Chaim, Natan Liss, Eli Schwartz, Evgenii Zheltonozhskii, Raja Giryes, Alex M. Bronstein, and Avi Mendelson. “UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks.” ACM Transactions on Computer Systems. Association for Computing Machinery, 2021. https://doi.org/10.1145/3444943.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[168]
2021 | Published | Journal Article | IST-REx-ID: 18238 | OA
Karbachevsky, Alex, Chaim Baskin, Evgenii Zheltonozhskii, Yevgeny Yermolin, Freddy Gabbay, Alex M. Bronstein, and Avi Mendelson. “Early-Stage Neural Network Hardware Performance Analysis.” Sustainability. MDPI, 2021. https://doi.org/10.3390/su13020717.
[Published Version] View | DOI | Download Published Version (ext.)
 
[167]
2021 | Published | Conference Paper | IST-REx-ID: 18239 | OA
Arbelle, Assaf, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, et al. “Detector-Free Weakly Supervised Grounding by Separation.” In IEEE/CVF International Conference on Computer Vision, Vol. 15. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/iccv48922.2021.00182.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[166]
2021 | Published | Conference Paper | IST-REx-ID: 18240 | OA
Dahary, Omer, Matan Jacoby, and Alex M. Bronstein. “Digital Gimbal: End-to-End Deep Image Stabilization with Learnable Exposure Times.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vol. 38. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/cvpr46437.2021.01176.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[165]
2021 | Published | Conference Paper | IST-REx-ID: 18241 | OA
Weiss, Tomer, Nissim Peretz, Sanketh Vedula, Arie Feuer, and Alex M. Bronstein. “Joint Optimization of System Design and Reconstruction in MIMO Radar Imaging.” In 31st International Workshop on Machine Learning for Signal Processing, Vol. 4. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/mlsp52302.2021.9596168.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[164]
2021 | Published | Book Chapter | IST-REx-ID: 18242 | OA
Weiss, Tomer, Sanketh Vedula, Ortal Senouf, Oleg Michailovich, and Alex M. Bronstein. “Towards Learned Optimal Q-Space Sampling in Diffusion MRI.” In Computational Diffusion MRI, edited by Noemi Gyori, Jana Hutter, Vishwesh Nath, Marco Palombo, Marco Pizzolato, and Fan Zhang, 13–28. Cham: Springer Nature, 2021. https://doi.org/10.1007/978-3-030-73018-5_2.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[163]
2020 | Published | Conference Paper | IST-REx-ID: 18259 | OA
Alfassy, Amit, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, and Alex M. Bronstein. “Laso: Label-Set Operations Networks for Multi-Label Few-Shot Learning.” In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. https://doi.org/10.1109/cvpr.2019.00671.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[162]
2020 | Published | Conference Paper | IST-REx-ID: 18255 | OA
Amrani, Elad, Rami Ben-Ari, Tal Hakim, and Alex M. Bronstein. “Learning to Detect and Retrieve Objects from Unlabeled Videos.” In 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE, 2020. https://doi.org/10.1109/iccvw.2019.00567.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[161]
2020 | Published | Conference Paper | IST-REx-ID: 18258
Karlinsky, Leonid, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogerio Feris, Raja Giryes, and Alex M. Bronstein. “Repmet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection.” In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. https://doi.org/10.1109/cvpr.2019.00534.
View | DOI
 
[160]
2020 | Published | Conference Paper | IST-REx-ID: 18260
Halimi, Oshri, Or Litany, Emanuele Rodola Rodola, Alex M. Bronstein, and Ron Kimmel. “Unsupervised Learning of Dense Shape Correspondence.” In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. https://doi.org/10.1109/cvpr.2019.00450.
View | DOI
 
[159]
2020 | Published | Conference Paper | IST-REx-ID: 18249 | OA
Weiss, Tomer, Sanketh Vedula, Ortal Senouf, Oleg Michailovich, Michael Zibulevsky, and Alex M. Bronstein. “Joint Learning of Cartesian Undersampling and Reconstruction for Accelerated MRI.” In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. https://doi.org/10.1109/icassp40776.2020.9054542.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[158]
2020 | Published | Conference Paper | IST-REx-ID: 18247 | OA
Chmiel, Brian, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Yevgeny Yermolin, Alex Karbachevsky, Alex M. Bronstein, and Avi Mendelson. “Feature Map Transform Coding for Energy-Efficient CNN Inference.” In 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020. https://doi.org/10.1109/ijcnn48605.2020.9206968.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[157]
2020 | Published | Conference Paper | IST-REx-ID: 18248
Amrani, Elad, Rami Ben-Ari, Inbar Shapira, Tal Hakim, and Alex M. Bronstein. “Self-Supervised Object Detection and Retrieval Using Unlabeled Videos.” In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2020. https://doi.org/10.1109/cvprw50498.2020.00485.
View | DOI
 
[156]
2020 | Published | Conference Paper | IST-REx-ID: 18251
Alush-Aben, Jonathan, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, and Alex M. Bronstein. “3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI.” In International Workshop on Machine Learning for Medical Image Reconstruction, 12450:3–16. Springer Nature, 2020. https://doi.org/10.1007/978-3-030-61598-7_1.
View | DOI
 
[155]
2020 | Published | Journal Article | IST-REx-ID: 18228 | OA
Sommer, Stefan, and Alex M. Bronstein. “Horizontal Flows and Manifold Stochastics in Geometric Deep Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers, 2020. https://doi.org/10.1109/tpami.2020.2994507.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[154]
2020 | Published | Journal Article | IST-REx-ID: 18245
Zabatani, Aviad, Vitaly Surazhsky, Erez Sperling, Sagi Ben Moshe, Ohad Menashe, David H. Silver, Zachi Karni, Alex M. Bronstein, Michael K Bronstein, and Ron Kimmel. “Intel® RealSenseTM SR300 Coded Light Depth Camera.” IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers, 2020. https://doi.org/10.1109/tpami.2019.2915841.
View | DOI | PubMed | Europe PMC
 
[153]
2020 | Published | Journal Article | IST-REx-ID: 18246
Mariani, G., L. Cosmo, Alex M. Bronstein, and E. Rodolà. “Generating Adversarial Surfaces via Band‐limited Perturbations.” Computer Graphics Forum. Wiley, 2020. https://doi.org/10.1111/cgf.14083.
View | DOI
 
[152]
2020 | Published | Journal Article | IST-REx-ID: 18250 | OA
Choukroun, Yoni, Alon Shtern, Alex M. Bronstein, and Ron Kimmel. “Hamiltonian Operator for Spectral Shape Analysis.” IEEE Transactions on Visualization and Computer Graphics. Institute of Electrical and Electronics Engineers, 2020. https://doi.org/10.1109/tvcg.2018.2867513.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[151]
2020 | Published | Journal Article | IST-REx-ID: 18252
Rotker, Keren, Dafna Ben Bashat, and Alex M. Bronstein. “Overparameterized Models for Vector Fields.” SIAM Journal on Imaging Sciences. Society for Industrial & Applied Mathematics, 2020. https://doi.org/10.1137/19m1280697.
View | DOI
 
[150]
2020 | Published | Journal Article | IST-REx-ID: 18253 | OA
Arbel, Matan, Alex M. Bronstein, Soumitra Sau, Batia Liefshitz, and Martin Kupiec. “Access to PCNA by Srs2 and Elg1 Controls the Choice between Alternative Repair Pathways in Saccharomyces Cerevisiae.” MBio. American Society for Microbiology, 2020. https://doi.org/10.1128/mbio.00705-20.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[149]
2019 | Published | Conference Paper | IST-REx-ID: 18257 | OA
Rampini, Arianna, Irene Tallini, Maks Ovsjanikov, Alex M. Bronstein, and Emanuele Rodola. “Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment.” In 2019 International Conference on 3D Vision (3DV). IEEE, 2019. https://doi.org/10.1109/3dv.2019.00014.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[148]
2019 | Published | Conference Paper | IST-REx-ID: 18256 | OA
Diamant, Nir, Dean Zadok, Chaim Baskin, Eli Schwartz, and Alex M. Bronstein. “Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level.” In 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019. https://doi.org/10.1109/icip.2019.8803807.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[147]
2019 | Published | Conference Paper | IST-REx-ID: 18262 | OA
Pai, Gautam, Ronen Talmon, Alex M. Bronstein, and Ron Kimmel. “DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling.” In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2019. https://doi.org/10.1109/wacv.2019.00092.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[146]
2019 | Published | Conference Paper | IST-REx-ID: 18269
Senouf, Ortal, Sanketh Vedula, Tomer Weiss, Alex M. Bronstein, Oleg Michailovich, and Michael Zibulevsky. “Self-Supervised Learning of Inverse Problem Solvers in Medical Imaging.” In First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, 11795:111–19. Springer International Publishing, 2019. https://doi.org/10.1007/978-3-030-33391-1_13.
View | DOI
 
[145]
2019 | Published | Conference Paper | IST-REx-ID: 18268 | OA
Dyke RM, Stride C, Lai Y-K, Rosin PL, Aubry M, Boyarski A, Bronstein AM, Bronstein MM, Cremers D, Fisher M, Groueix T, Guo D, Kim VG, Kimmel R, Lähner Z, Li K, Litany O, Remez T, Rodola E, Russell BC, Sahillioglu Y, Slossberg R, Tam GKL, Vestner M, Wu Z, Yang J. 2019. Shape correspondence with isometric and non-isometric deformations. Eurographics Workshop on 3D Object Retrieval. .
[Published Version] View | DOI | Download Published Version (ext.)
 
[144]
2019 | Published | Conference Paper | IST-REx-ID: 18261 | OA
Tsitsulin, Anton, Davide Mottin, Panagiotis Karras, Alex M. Bronstein, and Emmanuel Müller. “Spectral Graph Complexity.” In Companion Proceedings of The 2019 World Wide Web Conference, 308–9. ACM, 2019. https://doi.org/10.1145/3308560.3316589.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[143]
2019 | Published | Journal Article | IST-REx-ID: 18263 | OA
Rodolà, E., Z. Lähner, Alex M. Bronstein, M. M. Bronstein, and J. Solomon. “Functional Maps Representation on Product Manifolds.” Computer Graphics Forum. Wiley, 2019. https://doi.org/10.1111/cgf.13598.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[142]
2019 | Published | Journal Article | IST-REx-ID: 18264 | OA
Schwartz, Eli, Raja Giryes, and Alex M. Bronstein. “DeepISP: Toward Learning an End-to-End Image Processing Pipeline.” IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers, 2019. https://doi.org/10.1109/tip.2018.2872858.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[141]
2018 | Published | Conference Paper | IST-REx-ID: 18273 | OA
Baskin, Chaim, Natan Liss, Evgenii Zheltonozhskii, Alex M. Bronstein, and Avi Mendelson. “Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform.” In 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2018. https://doi.org/10.1109/ipdpsw.2018.00032.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[140]
2018 | Published | Conference Paper | IST-REx-ID: 18276 | OA
Vestner, Matthias, Zorah Lahner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodola, et al. “Efficient Deformable Shape Correspondence via Kernel Matching.” In 2017 International Conference on 3D Vision (3DV), 517–26. IEEE, 2018. https://doi.org/10.1109/3dv.2017.00065.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[139]
2018 | Published | Conference Paper | IST-REx-ID: 18402
Remez, Tal, Or Litany, Raja Giryes, and Alex M. Bronstein. “Deep Class-Aware Image Denoising.” In 2017 IEEE International Conference on Image Processing (ICIP), 1895–99. IEEE, 2018. https://doi.org/10.1109/icip.2017.8296611.
View | DOI
 
[138]
2018 | Published | Conference Paper | IST-REx-ID: 18270 | OA
Litany, Or, Alex M. Bronstein, Michael Bronstein, and Ameesh Makadia. “Deformable Shape Completion with Graph Convolutional Autoencoders.” In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE, 2018. https://doi.org/10.1109/cvpr.2018.00202.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[137]
2018 | Published | Conference Paper | IST-REx-ID: 18272
Giryes, Raja, Yonina C. Eldar, Alex M. Bronstein, and Guillermo Sapiro. “The Learned Inexact Project Gradient Descent Algorithm.” In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2018. https://doi.org/10.1109/icassp.2018.8462136.
View | DOI
 
[136]
2018 | Published | Journal Article | IST-REx-ID: 18278 | OA
Giryes, Raja, Yonina C. Eldar, Alex M. Bronstein, and Guillermo Sapiro. “Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems.” IEEE Transactions on Signal Processing. IEEE, 2018. https://doi.org/10.1109/tsp.2018.2791945.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[135]
2018 | Published | Journal Article | IST-REx-ID: 18275 | OA
Bronstein, Alex M., Lihi Gershon, Gilad Grinberg, Elisa Alonso-Perez, and Martin Kupiec. “The Main Role of Srs2 in DNA Repair Depends on Its Helicase Activity, Rather than on Its Interactions with PCNA or Rad51.” MBio. American Society for Microbiology, 2018. https://doi.org/10.1128/mbio.01192-18.
[Published Version] View | DOI | Download Published Version (ext.)
 
[134]
2018 | Published | Journal Article | IST-REx-ID: 18277 | OA
Bronstein, Alex M., Shay Bramson, Keren Shemesh, Batia Liefshitz, and Martin Kupiec. “Tight Regulation of Srs2 Helicase Activity Is Crucial for Proper Functioning of DNA Repair Mechanisms.” G3: Genes, Genomes, Genetics . Oxford University Press (OUP), 2018. https://doi.org/10.1534/g3.118.200181.
[Published Version] View | DOI | Download Published Version (ext.)
 
[133]
2018 | Published | Conference Paper | IST-REx-ID: 18284
Vedula, Sanketh, Ortal Senouf, Grigoriy Zurakhov, Alex M. Bronstein, Michael Zibulevsky, Oleg Michailovich, Dan Adam, and Diana Gaitini. “High Quality Ultrasonic Multi-Line Transmission through Deep Learning.” In First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, 11074:147–55. Springer Nature, 2018. https://doi.org/10.1007/978-3-030-00129-2_17.
View | DOI
 
[132]
2018 | Published | Conference Paper | IST-REx-ID: 18285
Haim, Harel, Shay Elmalem, Raja Giryes, Alex M. Bronstein, and Emanuel Marom. “Deep Learned Phase Mask for Single Image Depth Estimation and 3D Scanning.” In Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, PcAOP), Vol. Part F99-COSI 2018. OSA, 2018. https://doi.org/10.1364/cosi.2018.cw3b.3.
View | DOI
 
[131]
2018 | Published | Conference Paper | IST-REx-ID: 18282
Qiu, Qiang, José Lezama, Alex M. Bronstein, and Guillermo Sapiro. “ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks.” In European Conference on Computer Vision, Vol. 11206. Springer Nature, 2018. https://doi.org/10.1007/978-3-030-01216-8_27.
View | DOI
 
[130]
2018 | Published | Conference Paper | IST-REx-ID: 18283
Senouf, Ortal, Sanketh Vedula, Grigoriy Zurakhov, Alex M. Bronstein, Michael Zibulevsky, Oleg Michailovich, Dan Adam, and David Blondheim. “High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning.” In International Conference on Medical Image Computing and Computer Assisted Intervention, 11070:126–34. Springer Nature, 2018. https://doi.org/10.1007/978-3-030-00928-1_15.
View | DOI
 
[129]
2018 | Published | Book Chapter | IST-REx-ID: 18281
Litany, Or, Emanuele Rodolà, Alex M. Bronstein, Michael Bronstein, and Daniel Cremers. “Partial Single- and Multishape Dense Correspondence Using Functional Maps.” In Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1, edited by Ron Kimmel and Xue-Cheng Tai, 1st ed., 19:55–90. Amsterdam: Elsevier, 2018. https://doi.org/10.1016/bs.hna.2018.09.002.
View | DOI
 
[128]
2018 | Published | Conference Poster | IST-REx-ID: 18279 | OA
Rodola, E., Z. Lähner, Alex M. Bronstein, M. M. Bronstein, and J. Solomon. Functional Maps on Product Manifolds. Symposium on Geometry Processing. The Eurographics Association, 2018. https://doi.org/10.2312/SGP.20181182.
View | DOI | Download None (ext.)
 
[127]
2018 | Published | Conference Paper | IST-REx-ID: 18274 | OA
Tsitsulin, Anton, Davide Mottin, Panagiotis Karras, Alex M. Bronstein, and Emmanuel Müller. “NetLSD: Hearing the Shape of a Graph.” In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2347–56. ACM, 2018. https://doi.org/10.1145/3219819.3219991.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[126]
2018 | Published | Journal Article | IST-REx-ID: 18271 | OA
Remez, Tal, Or Litany, Raja Giryes, and Alex M. Bronstein. “Class-Aware Fully Convolutional Gaussian and Poisson Denoising.” IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers, 2018. https://doi.org/10.1109/tip.2018.2859044.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[125]
2017 | Published | Conference Paper | IST-REx-ID: 18403
Chen, Jie, Zhuoqing Chang, Qiang Qiu, Xiaobai Li, Guillermo Sapiro, Alex M. Bronstein, and Matti Pietikainen. “RealSense = Real Heart Rate: Illumination Invariant Heart Rate Estimation from Videos.” In 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2017. https://doi.org/10.1109/ipta.2016.7820970.
View | DOI
 
[124]
2017 | Published | Conference Paper | IST-REx-ID: 18288
Remez, Tal, Or Litany, Raja Giryes, and Alex M. Bronstein. “Deep Class-Aware Image Denoising.” In 2017 International Conference on Sampling Theory and Applications (SampTA). IEEE, 2017. https://doi.org/10.1109/sampta.2017.8024474.
View | DOI
 
[123]
2017 | Published | Conference Paper | IST-REx-ID: 18287 | OA
Vestner, Matthias, Roee Litman, Emanuele Rodola, Alex M. Bronstein, and Daniel Cremers. “Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space.” In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6681–90. IEEE, 2017. https://doi.org/10.1109/cvpr.2017.707.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[122]
2017 | Published | Journal Article | IST-REx-ID: 18366 | OA
Litany, Or, Tal Remez, Daniel Freedman, Lior Shapira, Alex M. Bronstein, and Ran Gal. “ASIST: Automatic Semantically Invariant Scene Transformation.” Computer Vision and Image Understanding. Elsevier, 2017. https://doi.org/10.1016/j.cviu.2016.08.002.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[121]
2017 | Published | Journal Article | IST-REx-ID: 18372 | OA
Shemesh, Keren, Marek Sebesta, Martin Pacesa, Soumitra Sau, Alex M. Bronstein, Oren Parnas, Batia Liefshitz, Česlovas Venclovas, Lumir Krejci, and Martin Kupiec. “A Structure-Function Analysis of the Yeast Elg1 Protein Reveals the Importance of PCNA Unloading in Genome Stability Maintenance.” Nucleic Acids Research. Oxford University Press (OUP), 2017. https://doi.org/10.1093/nar/gkw1348.
[Published Version] View | DOI | Download Published Version (ext.)
 
[120]
2017 | Published | Journal Article | IST-REx-ID: 18427
Litany, O., E. Rodolà, Alex M. Bronstein, and M. M. Bronstein. “Fully Spectral Partial Shape Matching.” Computer Graphics Forum. Wiley, 2017. https://doi.org/10.1111/cgf.13123.
View | DOI
 
[119]
2017 | Published | Conference Paper | IST-REx-ID: 18330
Alexandroni, Guy, Yana Podolsky, Hayit Greenspan, Tal Remez, Or Litany, Alex M. Bronstein, and Raja Giryes. “White Matter Fiber Representation Using Continuous Dictionary Learning.” In 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, 10433:566–74. Springer Nature, 2017. https://doi.org/10.1007/978-3-319-66182-7_65.
View | DOI
 
[118]
2017 | Published | Conference Paper | IST-REx-ID: 18329
Boyarski, Amit, Alex M. Bronstein, and Michael M. Bronstein. “Subspace Least Squares Multidimensional Scaling.” In International Conference on Scale Space and Variational Methods in Computer Vision, 10302:681–93. Springer Nature, 2017. https://doi.org/10.1007/978-3-319-58771-4_54.
View | DOI
 
[117]
2017 | Published | Conference Paper | IST-REx-ID: 18435 | OA
Ovsjanikov, Maks, Etienne Corman, Michael Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas Guibas, Frederic Chazal, and Alex M. Bronstein. “Computing and Processing Correspondences with Functional Maps.” In ACM SIGGRAPH 2017 Courses. ACM, 2017. https://doi.org/10.1145/3084873.3084877.
[Preprint] View | DOI | Download Preprint (ext.)
 
[116]
2016 | Published | Conference Paper | IST-REx-ID: 18388 | OA
Remez, Tal, Or Litany, and Alex M. Bronstein. “A Picture Is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Threshold Pixels.” In 2016 IEEE International Conference on Computational Photography (ICCP). IEEE, 2016. https://doi.org/10.1109/iccphot.2016.7492874.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[115]
2016 | Published | Conference Paper | IST-REx-ID: 18374 | OA
Bronstein, Alex M., Yoni Choukroun, Ron Kimmel, and Matan Sela. “Consistent Discretization and Minimization of the L1 Norm on Manifolds.” In 2016 Fourth International Conference on 3D Vision (3DV). IEEE, 2016. https://doi.org/10.1109/3dv.2016.53.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[114]
2016 | Published | Conference Paper | IST-REx-ID: 18375 | OA
Litman, Roee, and Alex M. Bronstein. “SpectroMeter: Amortized Sublinear Spectral Approximation of Distance on Graphs.” In 2016 Fourth International Conference on 3D Vision (3DV). IEEE, 2016. https://doi.org/10.1109/3dv.2016.60.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[113]
2016 | Published | Journal Article | IST-REx-ID: 18419 | OA
Giryes, Raja, Guillermo Sapiro, and Alex M. Bronstein. “Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?” IEEE Transactions on Signal Processing. IEEE, 2016. https://doi.org/10.1109/tsp.2016.2546221.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[112]
2016 | Published | Journal Article | IST-REx-ID: 18361 | OA
Pickup D, Sun X, Rosin PL, Martin RR, Cheng Z, Lian Z, Aono M, Hamza AB, Bronstein AM, Bronstein M, Bu S, Castellani U, Cheng S, Garro V, Giachetti A, Godil A, Isaia L, Han J, Johan H, Lai L, Li B, Li C, Li H, Litman R, Liu X, Liu Z, Lu Y, Sun L, Tam G, Tatsuma A, Ye J. 2016. Shape retrieval of non-rigid 3D human models. International Journal of Computer Vision. 120(2), 169–193.
[Published Version] View | DOI | Download Published Version (ext.)
 
[111]
2016 | Published | Journal Article | IST-REx-ID: 18426 | OA
Litany, O., E. Rodolà, Alex M. Bronstein, M. M. Bronstein, and D. Cremers. “Non‐rigid Puzzles.” Computer Graphics Forum. Wiley, 2016. https://doi.org/10.1111/cgf.12970.
[Preprint] View | DOI | Download Preprint (ext.)
 
[110]
2016 | Published | Journal Article | IST-REx-ID: 18430
Bian, Xiao, Hamid Krim, Alex M. Bronstein, and Liyi Dai. “Sparsity and Nullity: Paradigms for Analysis Dictionary Learning.” SIAM Journal on Imaging Sciences. Society for Industrial & Applied Mathematics, 2016. https://doi.org/10.1137/15m1030376.
View | DOI
 
[109]
2016 | Published | Conference Paper | IST-REx-ID: 18434 | OA
Ovsjanikov, Maks, Etienne Corman, Michael Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas Guibas, Frederic Chazal, and Alex M. Bronstein. “Computing and Processing Correspondences with Functional Maps.” In SIGGRAPH ASIA 2016 Courses. ACM, 2016. https://doi.org/10.1145/2988458.2988494.
[Preprint] View | DOI | Download Preprint (ext.)
 
[108]
2016 | Published | Book Chapter | IST-REx-ID: 18328
Pokrass, Jonathan, Alex M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, and Guillermo Sapiro. “Sparse Models for Intrinsic Shape Correspondence.” In Perspectives in Shape Analysis, edited by Michael Breuß, Alfred Bruckstein, Petros Maragos, and Stefanie Wuhrer, 1st ed., 211–30. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-24726-7_10.
View | DOI
 
[107]
2015 | Published | Conference Paper | IST-REx-ID: 18387
Bian, Xiao, Hamid Krim, Alex M. Bronstein, and Liyi Dai. “Sparse Null Space Basis Pursuit and Analysis Dictionary Learning for High-Dimensional Data Analysis.” In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. https://doi.org/10.1109/icassp.2015.7178678.
View | DOI
 
[106]
2015 | Published | Conference Paper | IST-REx-ID: 18380
Litman, Roee, Simon Korman, Alex M. Bronstein, and Shai Avidan. “Inverting RANSAC: Global Model Detection via Inlier Rate Estimation.” In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2015. https://doi.org/10.1109/cvpr.2015.7299161.
View | DOI
 
[105]
2015 | Published | Conference Paper | IST-REx-ID: 18400
Menashe, Ohad, and Alex M. Bronstein. “Real-Time Compressed Imaging of Scattering Volumes.” In 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. https://doi.org/10.1109/icip.2014.7025264.
View | DOI
 
[104]
2015 | Published | Conference Paper | IST-REx-ID: 18401
Draelos, Mark, Qiang Qiu, Alex M. Bronstein, and Guillermo Sapiro. “Intel Realsense = Real Low Cost Gaze.” In 2015 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. https://doi.org/10.1109/icip.2015.7351256.
View | DOI
 
[103]
2015 | Published | Journal Article | IST-REx-ID: 18416
Eynard, Davide, Artiom Kovnatsky, Michael M. Bronstein, Klaus Glashoff, and Alex M. Bronstein. “Multimodal Manifold Snalysis by Simultaneous Diagonalization of Laplacians.” IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2015. https://doi.org/10.1109/tpami.2015.2408348.
View | DOI | PubMed | Europe PMC
 
[102]
2015 | Published | Journal Article | IST-REx-ID: 18415 | OA
Sprechmann, P., Alex M. Bronstein, and G. Sapiro. “Learning Efficient Sparse and Low Rank Models.” IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2015. https://doi.org/10.1109/tpami.2015.2392779.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[101]
2015 | Published | Journal Article | IST-REx-ID: 18365 | OA
Simpson-Lavy, Kobi J., Alex M. Bronstein, Martin Kupiec, and Mark Johnston. “Cross-Talk between Carbon Cetabolism and the DNA Camage Response in S. Cerevisiae.” Cell Reports. Elsevier, 2015. https://doi.org/10.1016/j.celrep.2015.08.025.
[Published Version] View | DOI | Download Published Version (ext.)
 
[100]
2015 | Published | Journal Article | IST-REx-ID: 18424 | OA
Korman, Simon, Roee Litman, Shai Avidan, and Alex M. Bronstein. “Probably Approximately Symmetric: Fast Rigid Symmetry Detection with Global Guarantees.” Computer Graphics Forum. Wiley, 2015. https://doi.org/10.1111/cgf.12454.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[99]
2015 | Published | Journal Article | IST-REx-ID: 18436 | OA
Haim, Harel, Alex M. Bronstein, and Emanuel Marom. “Computational Multi-Focus Imaging Combining Sparse Model with Color Dependent Phase Mask.” Optics Express. Optica Publishing Group, 2015. https://doi.org/10.1364/oe.23.024547.
[Published Version] View | DOI | Download Published Version (ext.)
 
[98]
2015 | Published | Conference Paper | IST-REx-ID: 18439 | OA
Qiu, Qiang, Zhuoqing Chang, Mark Draelos, Jie Chen, Alex M. Bronstein, and Guillermo Sapiro. “Low-Cost Gaze and Pulse Analysis Using Realsense.” In Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare. ICST, 2015. https://doi.org/10.4108/eai.14-10-2015.2261657.
[Published Version] View | DOI | Download Published Version (ext.)
 
[97]
2015 | Published | Journal Article | IST-REx-ID: 18425
Biasotti, S., A. Cerri, Alex M. Bronstein, and M. Bronstein. “Recent Trends, Applications, and Perspectives in 3D Shape Similarity Assessment.” Computer Graphics Forum. Wiley, 2015. https://doi.org/10.1111/cgf.12734.
View | DOI
 
[96]
2015 | Published | Book Chapter | IST-REx-ID: 18326
Bronstein, Alex M., and Michael M. Bronstein. “Manifold Intrinsic Similarity.” In Handbook of Mathematical Methods in Imaging, edited by Otmar Scherzer, 2nd ed., 1859–1908. New York: Springer Nature, 2015. https://doi.org/10.1007/978-1-4939-0790-8_57.
View | DOI
 
[95]
2015 | Published | Book Chapter | IST-REx-ID: 18327
Sprechmann, Pablo, Alex M. Bronstein, and Guillermo Sapiro. “Supervised Non-Negative Matrix Factorization for Audio Source Separation.” In Excursions in Harmonic Analysis, Volumne 4, 1st ed., 407–20. Cham: Springer Nature, 2015. https://doi.org/10.1007/978-3-319-20188-7_16.
View | DOI
 
[94]
2015 | Published | Journal Article | IST-REx-ID: 18371
Aflalo, Yonathan, Alex M. Bronstein, and Ron Kimmel. “On Convex Relaxation of Graph Isomorphism.” Proceedings of the National Academy of Sciences. National Academy of Sciences, 2015. https://doi.org/10.1073/pnas.1401651112.
View | DOI | PubMed | Europe PMC
 
[93]
2014 | Published | Conference Paper | IST-REx-ID: 18384
Sprechmann, Pablo, Alex M. Bronstein, and Guillermo Sapiro. “Supervised Non-Euclidean Sparse NMF via Bilevel Optimization with Applications to Speech Enhancement.” In 2014 4th Joint Workshop on Hands-Free Speech Communication and Microphone Arrays (HSCMA). IEEE, 2014. https://doi.org/10.1109/hscma.2014.6843241.
View | DOI
 
[92]
2014 | Published | Journal Article | IST-REx-ID: 18413
Litman, R., and Alex M. Bronstein. “Learning Spectral Descriptors for Deformable Shape Correspondence.” IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2014. https://doi.org/10.1109/tpami.2013.148.
View | DOI | PubMed | Europe PMC
 
[91]
2014 | Published | Journal Article | IST-REx-ID: 18414 | OA
Masci, Jonathan, Michael M. Bronstein, Alex M. Bronstein, and Jurgen Schmidhuber. “Multimodal Similarity-Preserving Hashing.” IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2014. https://doi.org/10.1109/tpami.2013.225.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[90]
2014 | Published | Journal Article | IST-REx-ID: 18423
Litman, Roee, Alex M. Bronstein, Michael Bronstein, and Umberto Castellani. “Supervised Learning of Bag‐of‐features Shape Descriptors Using Sparse Coding.” Computer Graphics Forum. Wiley, 2014. https://doi.org/10.1111/cgf.12438.
View | DOI
 
[89]
2014 | Published | Journal Article | IST-REx-ID: 18353
Raviv, Dan, Alex M. Bronstein, Michael M. Bronstein, Dan Waisman, Nir Sochen, and Ron Kimmel. “Equi-Affine Invariant Geometry for Shape Analysis.” Journal of Mathematical Imaging and Vision. Springer Nature, 2014. https://doi.org/10.1007/s10851-013-0467-y.
View | DOI
 
[88]
2013 | Published | Conference Paper | IST-REx-ID: 18395
Saabni, Raid, and Alex M. Bronstein. “Fast Key-Word Searching Using ‘BoostMap’ Based Embedding.” In 2012 International Conference on Frontiers in Handwriting Recognition. IEEE, 2013. https://doi.org/10.1109/icfhr.2012.204.
View | DOI
 
[87]
2013 | Published | Conference Paper | IST-REx-ID: 18386
Sprechmann, Pablo, Alex M. Bronstein, Jean-Michel Morel, and Guillermo Sapiro. “Audio Restoration from Multiple Copies.” In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2013. https://doi.org/10.1109/icassp.2013.6637774.
View | DOI
 
[86]
2013 | Published | Conference Paper | IST-REx-ID: 18385
Sprechmann, Pablo, Alex M. Bronstein, Michael Bronstein, and Guillermo Sapiro. “Learnable Low Rank Sparse Models for Speech Denoising.” In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2013. https://doi.org/10.1109/icassp.2013.6637624.
View | DOI
 
[85]
2013 | Published | Journal Article | IST-REx-ID: 18437 | OA
Gazy, Inbal, Batia Liefshitz, Alex M. Bronstein, Oren Parnas, Nir Atias, Roded Sharan, and Martin Kupiec. “A Genetic Screen for High Copy Number Suppressors of the Synthetic Lethality between Elg1Δ and Srs2Δ in Yeast.” G3: Genes, Genomes, Genetics. Oxford University Press, 2013. https://doi.org/10.1534/g3.113.005561.
[Published Version] View | DOI | Download Published Version (ext.)
 
[84]
2013 | Published | Journal Article | IST-REx-ID: 18422 | OA
Pokrass, J., Alex M. Bronstein, M. M. Bronstein, P. Sprechmann, and G. Sapiro. “Sparse Modeling of Intrinsic Correspondences.” Computer Graphics Forum. Wiley, 2013. https://doi.org/10.1111/cgf.12066.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[83]
2013 | Published | Journal Article | IST-REx-ID: 18421 | OA
Kovnatsky, A., M. M. Bronstein, Alex M. Bronstein, K. Glashoff, and R. Kimmel. “Coupled Quasi‐harmonic Bases.” Computer Graphics Forum. Wiley, 2013. https://doi.org/10.1111/cgf.12064.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[82]
2013 | Published | Journal Article | IST-REx-ID: 18441
Bronstein, Alex M., Jonathan Pokrass, and Michael M. Bronstein. “Partial Shape Matching without Point-Wise Correspondence.” Numerical Mathematics: Theory, Methods and Applications. Global Science Press, 2013. https://doi.org/10.4208/nmtma.2013.mssvm12.
View | DOI
 
[81]
2013 | Published | Journal Article | IST-REx-ID: 18440
Bronstein, Alex M., Artiom Kovnatsky, Dan Raviv, Michael M. Bronstein, and Ron Kimmel. “Geometric and Photometric Data Fusion in Non-Rigid Shape Analysis.” Numerical Mathematics: Theory, Methods and Applications. Global Science Press, 2013. https://doi.org/10.4208/nmtma.2013.mssvm11.
View | DOI
 
[80]
2013 | Published | Book Chapter | IST-REx-ID: 18352
Litman, Roee, Alex M. Bronstein, and Michael M. Bronstein. “Stable Semi-Local Features for Non-Rigid Shapes.” In Innovations for Shape Analysis, edited by Michael Breuß, Alfred Bruckstein, and Petros Maragos, 161–89. MATHVISUAL. Berlin, Heidelberg: Springer Nature, 2013. https://doi.org/10.1007/978-3-642-34141-0_8.
View | DOI
 
[79]
2013 | Published | Book Chapter | IST-REx-ID: 18351
Rosman, Guy, Michael M. Bronstein, Alex M. Bronstein, Alon Wolf, and Ron Kimmel. “Group-Valued Regularization for Motion Segmentation of Articulated Shapes.” In Innovations for Shape Analysis, edited by Michael Breuß, Alfred Bruckstein, and Petros Maragos, 263–81. MATHVISUAL. Berlin, Heidelberg: Springer Nature, 2013. https://doi.org/10.1007/978-3-642-34141-0_12.
View | DOI
 
[78]
2012 | Published | Conference Paper | IST-REx-ID: 18344
Hooda, Amit, Michael M. Bronstein, Alex M. Bronstein, and Radu P. Horaud. “Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes.” In Scale Space and Variational Methods in Computer Vision, 6667:665–676. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-24785-9_56.
View | DOI
 
[77]
2012 | Published | Conference Paper | IST-REx-ID: 18378
Kokkinos, I., M. M. Bronstein, R. Litman, and Alex M. Bronstein. “Intrinsic Shape Context Descriptors for Deformable Shapes.” In 2012 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2012. https://doi.org/10.1109/cvpr.2012.6247671.
View | DOI
 
[76]
2012 | Published | Conference Paper | IST-REx-ID: 18379
Rodola, E., Alex M. Bronstein, A. Albarelli, F. Bergamasco, and A. Torsello. “A Game-Theoretic Approach to Deformable Shape Matching.” In 2012 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2012. https://doi.org/10.1109/cvpr.2012.6247674.
View | DOI
 
[75]
2012 | Published | Conference Paper | IST-REx-ID: 18345
Aflalo, Yonathan, Alex M. Bronstein, Michael M. Bronstein, and Ron Kimmel. “Deformable Shape Retrieval by Learning Diffusion Kernels.” In 3rd International Conference on Scale Space and Variational Methods in Computer Vision, 6667:689–700. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-24785-9_58.
View | DOI
 
[74]
2012 | Published | Conference Paper | IST-REx-ID: 18342
Pokrass, Jonathan, Alex M. Bronstein, and Michael M. Bronstein. “A Correspondence-Less Approach to Matching of Deformable Shapes.” In 3rd International Conference on Scale Space and Variational Methods in Computer Vision, 6667:592–603. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-24785-9_50.
View | DOI
 
[73]
2012 | Published | Conference Paper | IST-REx-ID: 18346
Rosman, Guy, Michael M. Bronstein, Alex M. Bronstein, Alon Wolf, and Ron Kimmel. “Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-Rigid Shapes.” In 3rd International Conference on Scale Space and Variational Methods in Computer Vision, 6667:725–36. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-24785-9_61.
View | DOI
 
[72]
2012 | Published | Conference Paper | IST-REx-ID: 18341
Wang, Chaohui, Michael M. Bronstein, Alex M. Bronstein, and Nikos Paragios. “Discrete Minimum Distortion Correspondence Problems for Non-Rigid Shape Matching.” In 3rd International Conference on Scale Space and Variational Methods in Computer Vision, 6667:580–91. Berlin, Heidelberg: Springer Nature, 2012. https://doi.org/10.1007/978-3-642-24785-9_49.
View | DOI
 
[71]
2012 | Published | Conference Paper | IST-REx-ID: 18348
Rosman, Guy, Alex M. Bronstein, Michael M. Bronstein, Xue-Cheng Tai, and Ron Kimmel. “Group-Valued Regularization for Analysis of Articulated Motion.” In Computer Vision, ECCV 2012 - Workshops and Demonstrations, 7583:52–62. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-33863-2_6.
View | DOI
 
[70]
2012 | Published | Conference Paper | IST-REx-ID: 18349
Kovnatsky, Artiom, Michael M. Bronstein, and Alex M. Bronstein. “Stable Spectral Mesh Filtering.” In Computer Vision, ECCV 2012 - Workshops and Demonstrations, 7583:83–91. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-33863-2_9.
View | DOI
 
[69]
2012 | Published | Conference Paper | IST-REx-ID: 18350
Raviv, Dan, Alex M. Bronstein, Michael M. Bronstein, Ron Kimmel, and Nir Sochen. “Equi-Affine Invariant Geometries of Articulated Objects.” In 15th International Workshop on Theoretical Foundations of Computer Vision, 7474:177–90. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-34091-8_8.
View | DOI
 
[68]
2012 | Published | Conference Paper | IST-REx-ID: 18343
Kovnatsky, Artiom, Michael M. Bronstein, Alex M. Bronstein, and Ron Kimmel. “Photometric Heat Kernel Signatures.” In 3rd International Conference on Scale Space and Variational Methods in Computer Vision, 6667:616–27. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-24785-9_52.
View | DOI
 
[67]
2012 | Published | Conference Paper | IST-REx-ID: 18347
Litany, Or, Alex M. Bronstein, and Michael M. Bronstein. “Putting the Pieces Together: Regularized Multi-Part Shape Matching.” In Computer Vision, ECCV 2012 - Workshops and Demonstrations, 7583:1–11. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-33863-2_1.
View | DOI
 
[66]
2012 | Published | Book (Editor) | IST-REx-ID: 18340
Bruckstein, Alfred M., Bart M. ter Haar Romeny, Alexander Bronstein, and Michael M. Bronstein, eds. Scale Space and Variational Methods in Computer Vision. 1st ed. Vol. 6667. LNCS. Berlin, Heidelberg: Springer Nature, 2012. https://doi.org/10.1007/978-3-642-24785-9.
View | DOI
 
[65]
2012 | Published | Book Chapter | IST-REx-ID: 18325
Bronstein, Alex M., Michael M. Bronstein, and Maks Ovsjanikov. “Feature-Based Methods in 3D Shape Analysis.” In 3D Imaging, Analysis and Applications, edited by Nick Pears, Yonghuai Liu, and Peter Bunting, 185–219. London: Springer Nature, 2012. https://doi.org/10.1007/978-1-4471-4063-4_5.
View | DOI
 
[64]
2012 | Published | Journal Article | IST-REx-ID: 18364
Litman, R., Alex M. Bronstein, and M.M. Bronstein. “Stable Volumetric Features in Deformable Shapes.” Computers & Graphics. Elsevier, 2012. https://doi.org/10.1016/j.cag.2012.03.034.
View | DOI
 
[63]
2012 | Published | Journal Article | IST-REx-ID: 18412
Strecha, C., Alex M. Bronstein, M. M. Bronstein, and P. Fua. “LDAHash: Improved Matching with Smaller Descriptors.” IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers, 2012. https://doi.org/10.1109/tpami.2011.103.
View | DOI | PubMed | Europe PMC
 
[62]
2011 | Published | Conference Paper | IST-REx-ID: 18394
Saabni, Raid, and Alex M. Bronstein. “Fast Key-Word Searching via Embedding and Active-DTW.” In 2011 International Conference on Document Analysis and Recognition. IEEE, 2011. https://doi.org/10.1109/icdar.2011.23.
View | DOI
 
[61]
2011 | Published | Conference Paper | IST-REx-ID: 18406
Michel, Fabrice, Michael Bronstein, Alex M. Bronstein, and Nikos Paragios. “Boosted Metric Learning for 3D Multi-Modal Deformable Registration.” In 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE, 2011. https://doi.org/10.1109/isbi.2011.5872619.
View | DOI
 
[60]
2011 | Published | Conference Paper | IST-REx-ID: 18377 | OA
Raviv, Dan, Michael M. Bronstein, Alex M. Bronstein, Ron Kimmel, and Nir Sochen. “Affine-Invariant Diffusion Geometry for the Analysis of Deformable 3D Shapes.” In CVPR 2011. IEEE, 2011. https://doi.org/10.1109/cvpr.2011.5995486.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[59]
2011 | Published | Journal Article | IST-REx-ID: 18433
Bronstein, Alex M., Michael M. Bronstein, Leonidas J. Guibas, and Maks Ovsjanikov. “Shape Google: Geometric Words and Expressions for Invariant Shape Retrieval.” ACM Transactions on Graphics. Association for Computing Machinery, 2011. https://doi.org/10.1145/1899404.1899405.
View | DOI
 
[58]
2011 | Published | Journal Article | IST-REx-ID: 18362 | OA
Litman, Roee, Alex M. Bronstein, and Michael M. Bronstein. “Diffusion-Geometric Maximally Stable Component Detection in Deformable Shapes.” Computers & Graphics. Elsevier, 2011. https://doi.org/10.1016/j.cag.2011.03.011.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[57]
2011 | Published | Journal Article | IST-REx-ID: 18363 | OA
Raviv, Dan, Alex M. Bronstein, Michael M. Bronstein, Ron Kimmel, and Nir Sochen. “Affine-Invariant Geodesic Geometry of Deformable 3D Shapes.” Computers & Graphics. Elsevier, 2011. https://doi.org/10.1016/j.cag.2011.03.030.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[56]
2011 | Published | Journal Article | IST-REx-ID: 18411
Bronstein, Michael M, and Alex M. Bronstein. “Shape Recognition with Spectral Distances.” IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers, 2011. https://doi.org/10.1109/tpami.2010.210.
View | DOI | PubMed | Europe PMC
 
[55]
2010 | Published | Conference Paper | IST-REx-ID: 18376
Bronstein, Michael M., Alex M. Bronstein, Fabrice Michel, and Nikos Paragios. “Data Fusion through Cross-Modality Metric Learning Using Similarity-Sensitive Hashing.” In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 3594–3601. IEEE, 2010. https://doi.org/10.1109/cvpr.2010.5539928.
View | DOI
 
[54]
2010 | Published | Conference Paper | IST-REx-ID: 18338
Bronstein, Alex M., and Michael M. Bronstein. “Spatially-Sensitive Affine-Invariant Image Descriptors.” In 11th European Conference on Computer Vision, 6312:197–208. Springer Nature, 2010. https://doi.org/10.1007/978-3-642-15552-9_15.
View | DOI
 
[53]
2010 | Published | Conference Paper | IST-REx-ID: 18432
Raviv, Dan, Michael M. Bronstein, Alex M. Bronstein, and Ron Kimmel. “Volumetric Heat Kernel Signatures.” In Proceedings of the ACM Workshop on 3D Object Retrieval, 39–44. ACM, 2010. https://doi.org/10.1145/1877808.1877817.
View | DOI
 
[52]
2010 | Published | Conference Paper | IST-REx-ID: 18339
Mitra, Niloy J., Alex M. Bronstein, and Michael Bronstein. “Intrinsic Regularity Detection in 3D Geometry.” In 11th European Conference on Computer Vision, 6313:398–410. Springer Nature, 2010. https://doi.org/10.1007/978-3-642-15558-1_29.
View | DOI
 
[51]
2010 | Published | Journal Article | IST-REx-ID: 18358
Bronstein, Alex M., Michael M. Bronstein, Ron Kimmel, Mona Mahmoudi, and Guillermo Sapiro. “A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-Rigid Shape Matching.” International Journal of Computer Vision. Springer Nature, 2010. https://doi.org/10.1007/s11263-009-0301-6.
View | DOI
 
[50]
2010 | Published | Journal Article | IST-REx-ID: 18359
Raviv, Dan, Alex M. Bronstein, Michael M. Bronstein, and Ron Kimmel. “Full and Partial Symmetries of Non-Rigid Shapes.” International Journal of Computer Vision. Springer Nature, 2010. https://doi.org/10.1007/s11263-010-0320-3.
View | DOI
 
[49]
2010 | Published | Journal Article | IST-REx-ID: 18360 | OA
Rosman, Guy, Michael M. Bronstein, Alex M. Bronstein, and Ron Kimmel. “Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding.” International Journal of Computer Vision. Springer Nature, 2010. https://doi.org/10.1007/s11263-010-0322-1.
[Published Version] View | DOI | Download Published Version (ext.)
 
[48]
2009 | Published | Journal Article | IST-REx-ID: 18438 | OA
Bronstein, Alex M., Michael M. Bronstein, Yair Carmon, and Ron Kimmel. “Partial Similarity of Shapes Using a Statistical Significance Measure.” IPSJ Transactions on Computer Vision and Applications. Information Processing Society of Japan, 2009. https://doi.org/10.2197/ipsjtcva.1.105.
[Published Version] View | DOI | Download Published Version (ext.)
 
[47]
2009 | Published | Journal Article | IST-REx-ID: 18356
Bronstein, Alex M., Michael M. Bronstein, Alfred M. Bruckstein, and Ron Kimmel. “Partial Similarity of Objects, or How to Compare a Centaur to a Horse.” International Journal of Computer Vision. Springer Nature, 2009. https://doi.org/10.1007/s11263-008-0147-3.
View | DOI
 
[46]
2009 | Published | Journal Article | IST-REx-ID: 18357
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Topology-Invariant Similarity of Nonrigid Shapes.” International Journal of Computer Vision. Springer Nature, 2009. https://doi.org/10.1007/s11263-008-0172-2.
View | DOI
 
[45]
2009 | Published | Conference Paper | IST-REx-ID: 18391
Rubinstein, O., Y. Honen, Alex M. Bronstein, M. M. Bronstein, and R. Kimmel. “3D-Color Video Camera.” In 12th International Conference on Computer Vision Workshops. IEEE, 2009. https://doi.org/10.1109/iccvw.2009.5457433.
View | DOI
 
[44]
2009 | Published | Conference Paper | IST-REx-ID: 18392
Ovsjanikov, Maks, Alex M. Bronstein, Michael M. Bronstein, and Leonidas J. Guibas. “Shape Google: A Computer Vision Approach to Isometry Invariant Shape Retrieval.” In 12th International Conference on Computer Vision Workshops. IEEE, 2009. https://doi.org/10.1109/iccvw.2009.5457682.
View | DOI
 
[43]
2009 | Published | Conference Paper | IST-REx-ID: 18393
Devir, Yohai S., Guy Rosman, Alex M. Bronstein, Michael M. Bronstein, and Ron Kimmel. “On Reconstruction of Non-Rigid Shapes with Intrinsic Regularization.” In 12th International Conference on Computer Vision Workshops. IEEE, 2009. https://doi.org/10.1109/iccvw.2009.5457688.
View | DOI
 
[42]
2008 | Published | Journal Article | IST-REx-ID: 18431
Weber, Ofir, Yohai S. Devir, Alex M. Bronstein, Michael M. Bronstein, and Ron Kimmel. “Parallel Algorithms for Approximation of Distance Maps on Parametric Surfaces.” ACM Transactions on Graphics. Association for Computing Machinery, 2008. https://doi.org/10.1145/1409625.1409626.
View | DOI
 
[41]
2008 | Published | Conference Paper | IST-REx-ID: 18337
Bronstein, Alex M., and Michael M. Bronstein. “Regularized Partial Matching of Rigid Shapes.” In 10th European Conference on Computer Vision, 5303:143–54. Springer Berlin Heidelberg, 2008. https://doi.org/10.1007/978-3-540-88688-4_11.
View | DOI
 
[40]
2008 | Published | Journal Article | IST-REx-ID: 18355
Bronstein, Alex M., Michael M. Bronstein, Alfred M. Bruckstein, and Ron Kimmel. “Analysis of Two-Dimensional Non-Rigid Shapes.” International Journal of Computer Vision. Springer Nature, 2008. https://doi.org/10.1007/s11263-007-0078-4.
View | DOI
 
[39]
2008 | Published | Conference Paper | IST-REx-ID: 18381
Bronstein, Alex M., and Michael M. Bronstein. “Not Only Size Matters: Regularized Partial Matching of Nonrigid Shapes.” In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. IEEE, 2008. https://doi.org/10.1109/cvprw.2008.4563077.
View | DOI
 
[38]
2007 | Published | Journal Article | IST-REx-ID: 18420
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Calculus of Nonrigid Surfaces for Geometry and Texture Manipulation.” IEEE Transactions on Visualization and Computer Graphics. IEEE, 2007. https://doi.org/10.1109/tvcg.2007.1041.
View | DOI
 
[37]
2007 | Published | Conference Paper | IST-REx-ID: 18336
Bronstein, Alex M., Michael M. Bronstein, Alfred M. Bruckstein, and Ron Kimmel. “Paretian Similarity for Partial Comparison of Non-Rigid Objects.” In First International Conference on Scale Space and Variational Methods in Computer Vision, 4485:264–75. Springer Nature, 2007. https://doi.org/10.1007/978-3-540-72823-8_23.
View | DOI
 
[36]
2007 | Published | Journal Article | IST-REx-ID: 18367
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Weighted Distance Maps Computation on Parametric Three-Dimensional Manifolds.” Journal of Computational Physics. Elsevier, 2007. https://doi.org/10.1016/j.jcp.2007.01.009.
View | DOI
 
[35]
2007 | Published | Conference Paper | IST-REx-ID: 18389
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Rock, Paper, and Scissors: Extrinsic vs. Intrinsic Similarity of Non-Rigid Shapes.” In 11th International Conference on Computer Vision. IEEE, 2007. https://doi.org/10.1109/iccv.2007.4409076.
View | DOI
 
[34]
2007 | Published | Conference Paper | IST-REx-ID: 18390
Raviv, Dan, Alex M. Bronstein, Michael M. Bronstein, and Ron Kimmel. “Symmetries of Non-Rigid Shapes.” In 11th International Conference on Computer Vision, Vol. 72. IEEE, 2007. https://doi.org/10.1109/iccv.2007.4409181.
View | DOI
 
[33]
2006 | Published | Journal Article | IST-REx-ID: 18429
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Efficient Computation of Isometry-Invariant Distances between Surfaces.” SIAM Journal on Scientific Computing. Society for Industrial & Applied Mathematics, 2006. https://doi.org/10.1137/050639296.
View | DOI
 
[32]
2006 | Published | Journal Article | IST-REx-ID: 18318
Bronstein, M. M., Alex M. Bronstein, R. Kimmel, and I. Yavneh. “Multigrid Multidimensional Scaling.” Numerical Linear Algebra with Applications. Wiley, 2006. https://doi.org/10.1002/nla.475.
View | DOI
 
[31]
2006 | Published | Conference Paper | IST-REx-ID: 18320
Bronstein, Alex M., Michael M. Bronstein, and Michael Zibulevsky. “On Separation of Semitransparent Dynamic Images from Static Background.” In 6th International Conference on Independent Component Analysis and Signal Separation, 3889:934–40. Springer Nature, 2006. https://doi.org/10.1007/11679363_116.
View | DOI
 
[30]
2006 | Published | Conference Paper | IST-REx-ID: 18321
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Robust Expression-Invariant Face Recognition from Partially Missing Data.” In 9th European Conference on Computer Vision, Vol. 3953. Springer Nature, 2006. https://doi.org/10.1007/11744078_31.
View | DOI
 
[29]
2006 | Published | Conference Paper | IST-REx-ID: 18322
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Facetoface: An Isometric Model for Facial Animation.” In 4th International Conference on Articulated Motion and Deformable Objects, 4069:38–47. Springer Nature, 2006. https://doi.org/10.1007/11789239_5.
View | DOI
 
[28]
2006 | Published | Conference Paper | IST-REx-ID: 18323
Bronstein, Alex M., Michael M. Bronstein, Alfred M. Bruckstein, and Ron Kimmel. “Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling.” In 4th International Conference on Articulated Motion and Deformable Objects, 4069:48–57. Springer Nature, 2006. https://doi.org/10.1007/11789239_6.
View | DOI
 
[27]
2006 | Published | Journal Article | IST-REx-ID: 18370
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Generalized Multidimensional Scaling: A Framework for Isometry-Invariant Partial Surface Matching.” PNAS. National Academy of Sciences, 2006. https://doi.org/10.1073/pnas.0508601103.
View | DOI | PubMed | Europe PMC
 
[26]
2006 | Published | Journal Article | IST-REx-ID: 18408
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Expression-Invariant Representations of Faces.” IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers, 2006. https://doi.org/10.1109/tip.2006.884940.
View | DOI | PubMed | Europe PMC
 
[25]
2005 | Published | Journal Article | IST-REx-ID: 18417
Bronstein, Alex M., M.M. Bronstein, and M. Zibulevsky. “Relative Optimization for Blind Deconvolution.” IEEE Transactions on Signal Processing. Institute of Electrical and Electronics Engineers (IEEE), 2005. https://doi.org/10.1109/tsp.2005.847822.
View | DOI
 
[24]
2005 | Published | Journal Article | IST-REx-ID: 18418
Bronstein, Alex M., M.M. Bronstein, and M. Zibulevsky. “Quasi Maximum Likelihood MIMO Blind Deconvolution: Super- and Sub-Gaussianity versus Consistency.” IEEE Transactions on Signal Processing. Institute of Electrical and Electronics Engineers (IEEE), 2005. https://doi.org/10.1109/tsp.2005.849221.
View | DOI
 
[23]
2005 | Published | Journal Article | IST-REx-ID: 18317
Bronstein, Alex M., Michael M. Bronstein, Michael Zibulevsky, and Yehoshua Y. Zeevi. “Sparse ICA for Blind Separation of Transmitted and Reflected Images.” International Journal of Imaging Systems and Technology. Wiley, 2005. https://doi.org/10.1002/ima.20042.
View | DOI
 
[22]
2005 | Published | Conference Paper | IST-REx-ID: 18319
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Isometric Embedding of Facial Surfaces into S3.” In 5th International Conference on Scale-Space Theories in Computer Vision, 3459:622–31. Springer Berlin Heidelberg, 2005. https://doi.org/10.1007/11408031_53.
View | DOI
 
[21]
2005 | Published | Journal Article | IST-REx-ID: 18354
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Three-Dimensional Face Recognition.” International Journal of Computer Vision. Springer Nature, 2005. https://doi.org/10.1007/s11263-005-1085-y.
View | DOI
 
[20]
2005 | Published | Conference Paper | IST-REx-ID: 18398
Bronstein, Alex M., M.M. Bronstein, M. Zibulevsky, and Y.Y. Zeevi. “‘Unmixing’ Tissues: Sparse Component Analysis in Multi-Contrast MRI.” In IEEE International Conference on Image Processing, 2:1279–82. IEEE, 2005. https://doi.org/10.1109/icip.2005.1530297.
View | DOI
 
[19]
2005 | Published | Conference Paper | IST-REx-ID: 18399
Bronstein, Alex M., M.M. Bronstein, and R. Kimmel. “Expression-Invariant Face Recognition via Spherical Embedding.” In International Conference on Image Processing, 3:756–59. IEEE, 2005. https://doi.org/10.1109/icip.2005.1530502.
View | DOI
 
[18]
2005 | Published | Journal Article | IST-REx-ID: 18407
Bronstein, M.M., Alex M. Bronstein, M. Zibulevsky, and Y.Y. Zeevi. “Blind Deconvolution of Images Using Optimal Sparse Representations.” IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers, 2005. https://doi.org/10.1109/tip.2005.847322.
View | DOI | PubMed | Europe PMC
 
[17]
2004 | Published | Conference Paper | IST-REx-ID: 18332
Bronstein, Alex M., Michael M. Bronstein, and Michael Zibulevsky. “Blind Source Separation Using the Block-Coordinate Relative Newton Method.” In 5th International Conference on Independent Component Analysis and Blind Signal Separation, 3195:406–413. Springer Nature, 2004. https://doi.org/10.1007/978-3-540-30110-3_52.
View | DOI
 
[16]
2004 | Published | Conference Paper | IST-REx-ID: 18334
Bronstein, Alex M., Michael M. Bronstein, and Michael Zibulevsky. “Blind Deconvolution Using the Relative Newton Method.” In 5th International Conference on Independent Component Analysis and Blind Signal Separation, 3195:554–561. Berlin, Heidelberg: Springer Nature, 2004. https://doi.org/10.1007/978-3-540-30110-3_71.
View | DOI
 
[15]
2004 | Published | Conference Paper | IST-REx-ID: 18331
Bronstein, Alex M., Michael M. Bronstein, Alon Spira, and Ron Kimmel. “Face Recognition from Facial Surface Metric.” In 8th European Conference on Computer Vision, 3022:225–237. Springer Nature, 2004. https://doi.org/10.1007/978-3-540-24671-8_18.
View | DOI
 
[14]
2004 | Published | Conference Paper | IST-REx-ID: 18333
Bronstein, Alex M., Michael M. Bronstein, Michael Zibulevsky, and Yehoshua Y. Zeevi. “Optimal Sparse Representations for Blind Deconvolution of Images.” In 5th International Conference on Independent Component Analysis and Blind Signal Separation, 3195:500–507. Springer Nature, 2004. https://doi.org/10.1007/978-3-540-30110-3_64.
View | DOI
 
[13]
2004 | Published | Conference Paper | IST-REx-ID: 18335
Bronstein, Alex M., Michael M. Bronstein, Michael Zibulevsky, and Yehoshua Y. Zeevi. “QML Blind Deconvolution: Asymptotic Analysis.” In Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation, 3195:677–684. Springer Nature, 2004. https://doi.org/10.1007/978-3-540-30110-3_86.
View | DOI
 
[12]
2004 | Published | Journal Article | IST-REx-ID: 18368
Bronstein, Alex M., Michael M Bronstein, and Michael Zibulevsky. “Blind Source Separation Using Block-Coordinate Relative Newton Method.” Signal Processing. Elsevier, 2004. https://doi.org/10.1016/j.sigpro.2004.05.019.
View | DOI
 
[11]
2004 | Published | Conference Paper | IST-REx-ID: 18396
Bronstein, Alex M., M.M. Bronstein, E. Gordon, and R. Kimmel. “Fusion of 2D and 3D Data in Three-Dimensional Face Recognition.” In 2004 International Conference on Image Processing. IEEE, 2004. https://doi.org/10.1109/icip.2004.1418696.
View | DOI
 
[10]
2003 | Published | Conference Paper | IST-REx-ID: 18428
Bronstein, Alex M., Michael M. Bronstein, Michael Zibulevsky, and Yehoshua Y. Zeevi. “Separation of Reflections via Sparse ICA.” In SPIE Proceedings, edited by Michael A. Unser, Akram Aldroubi, and Andrew F. Laine, 5207:292–96. SPIE, 2003. https://doi.org/10.1117/12.505210.
View | DOI
 
[9]
2003 | Published | Conference Paper | IST-REx-ID: 18324
Bronstein, Alex M., Michael M. Bronstein, and Ron Kimmel. “Expression-Invariant 3D Face Recognition.” In 4th International Conference on Audio- and Video-Based Biometric Person Authentication, 2688:62–70. Springer Nature, 2003. https://doi.org/10.1007/3-540-44887-x_8.
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[8]
2003 | Published | Journal Article | IST-REx-ID: 18410
Bronstein, Alex M., M.M. Bronstein, M. Zibulevsky, and Y.Y. Zeevi. “Optimal Nonlinear Line-of-Flight Estimation in Positron Emission Tomography.” IEEE Transactions on Nuclear Science. Institute of Electrical and Electronics Engineers, 2003. https://doi.org/10.1109/tns.2003.812434.
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[7]
2002 | Published | Journal Article | IST-REx-ID: 18369
Bronstein, Michael M., and Alex M. Bronstein. “Biometrics Was No Match for Hair-Raising Tricks.” Nature. Springer Nature, 2002. https://doi.org/10.1038/420739a.
View | DOI | PubMed | Europe PMC
 
[6]
2002 | Published | Conference Paper | IST-REx-ID: 18382
Bronstein, Alex M., M.M. Bronstein, M. Zibulevsky, and Y.Y. Zeevi. “Optimal Non-Linear Line-of-Flight Estimation in Positron Emission Tomography.” In The 22nd Convention on Electrical and Electronics Engineers in Israel, 2002–January:341–44. IEEE, 2002. https://doi.org/10.1109/eeei.2002.1178493.
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[5]
2002 | Published | Conference Paper | IST-REx-ID: 18383
Bronstein, M.M., Alex M. Bronstein, M. Zibulevsky, and H. Azhari. “Application of the NUFFT for Reconstruction Problems in Diffraction Tomography.” In The 22nd Convention on Electrical and Electronics Engineers in Israel, 2002–January:345–47. IEEE, 2002. https://doi.org/10.1109/eeei.2002.1178495.
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[4]
2002 | Published | Conference Paper | IST-REx-ID: 18404
Bronstein, Alex M., M. Bronstein, M. Zibulevsky, and Y.Y. Zeevi. “Optimal Nonlinear Estimation of Photon Coordinates in PET.” In Proceedings IEEE International Symposium on Biomedical Imaging, 2002–January:541–44. IEEE, 2002. https://doi.org/10.1109/isbi.2002.1029314.
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[3]
2002 | Published | Conference Paper | IST-REx-ID: 18405
Bronstein, M., Alex M. Bronstein, and M. Zibulevsky. “Iterative Reconstruction in Diffraction Tomography Using Nonuniform Fast Fourier Transform.” In Proceedings IEEE International Symposium on Biomedical Imaging, 2002–January:633–36. IEEE, 2002. https://doi.org/10.1109/isbi.2002.1029337.
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[2]
2002 | Published | Journal Article | IST-REx-ID: 18409
Bronstein, M.M., Alex M. Bronstein, M. Zibulevsky, and H. Azhari. “Reconstruction in Diffraction Ultrasound Tomography Using Nonuniform FFT.” IEEE Transactions on Medical Imaging. Institute of Electrical and Electronics Engineers, 2002. https://doi.org/10.1109/tmi.2002.806423.
View | DOI | PubMed | Europe PMC
 
[1]
2001 | Published | Conference Paper | IST-REx-ID: 18397
Bronstein, M.M., Alex M. Bronstein, M. Zibulevsky, and Y.Y. Zeevi. “Optimal Sparse Representations for Blind Source Separation and Blind Deconvolution: A Learning Approach.” In 2004 International Conference on Image Processing. IEEE, 2001. https://doi.org/10.1109/icip.2004.1421428.
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