Alex M. Bronstein

Bronstein Group

175 Publications

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[175]
2024 | Published | Journal Article | IST-REx-ID: 18203 | OA
Rosenberg, A. A., Marx, A., & Bronstein, A. M. (2024). A dataset of alternately located segments in protein crystal structures. Scientific Data. Springer Nature. https://doi.org/10.1038/s41597-024-03595-4
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[174]
2024 | Published | Journal Article | IST-REx-ID: 18204 | OA
Elul, Y., Rozenberg, E., Boyarski, A., Yaniv, Y., Schuster, A., & Bronstein, A. M. (2024). Data-driven modeling of interrelated dynamical systems. Communications Physics. Springer Nature. https://doi.org/10.1038/s42005-024-01626-5
[Published Version] View | DOI | Download Published Version (ext.)
 
[173]
2024 | Published | Journal Article | IST-REx-ID: 18205 | OA
Wengrowicz, O., Bronstein, A. M., & Cohen, O. (2024). Unsupervised physics-informed deep learning-based reconstruction for time-resolved imaging by multiplexed ptychography. Optics Express. Optica Publishing Group. https://doi.org/10.1364/oe.515445
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[172]
2024 | Published | Conference Paper | IST-REx-ID: 18206
Rave, G., Fordham, D. E., Bronstein, A. M., & Silver, D. H. (2024). Enhancing predictive accuracy in embryo implantation: The Bonna algorithm and its clinical implications. In First International Conference on Artificial Intelligence in Healthcare (Vol. 14976, pp. 160–171). Swansea, United Kingdom: Springer Nature. https://doi.org/10.1007/978-3-031-67285-9_12
View | DOI
 
[171]
2023 | Published | Journal Article | IST-REx-ID: 18207 | OA
Bronstein, A. M., & Marx, A. (2023). Water stabilizes an alternate turn conformation in horse heart myoglobin. Scientific Reports. Springer Nature. https://doi.org/10.1038/s41598-023-32821-z
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[170]
2023 | Published | Journal Article | IST-REx-ID: 18208 | OA
Weiss, T., Mayo Yanes, E., Chakraborty, S., Cosmo, L., Bronstein, A. M., & Gershoni-Poranne, R. (2023). Guided diffusion for inverse molecular design. Nature Computational Science. Springer Nature. https://doi.org/10.1038/s43588-023-00532-0
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
[169]
2023 | Published | Journal Article | IST-REx-ID: 18209 | OA
Weiss, T., Wahab, A., Bronstein, A. M., & Gershoni-Poranne, R. (2023). Interpretable deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons. The Journal of Organic Chemistry. American Chemical Society. https://doi.org/10.1021/acs.joc.2c02381
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
[168]
2023 | Published | Conference Paper | IST-REx-ID: 18212
Ye, H., Vedula, S., Chen, Y., Yang, Y., Bronstein, A. M., Dreslinski, R., … Talati, N. (2023). 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 (Vol. 11, pp. 282–301). Association for Computing Machinery. https://doi.org/10.1145/3582016.3582029
View | Files available | DOI
 
[167]
2023 | Published | Journal Article | IST-REx-ID: 18213
Hermanns, J., Skitsas, K., Tsitsulin, A., Munkhoeva, M., Kyster, A., Nielsen, S., … Karras, P. (2023). GRASP: Scalable graph alignment by spectral corresponding functions. ACM Transactions on Knowledge Discovery from Data. Association for Computing Machinery. https://doi.org/10.1145/3561058
View | DOI
 
[166]
2023 | Published | Journal Article | IST-REx-ID: 18214 | OA
Chen, Y., Ye, H., Vedula, S., Bronstein, A. M., Dreslinski, R., Mudge, T., & Talati, N. (2023). Demystifying graph sparsification algorithms in graph properties preservation. Proceedings of the VLDB Endowment. Association for Computing Machinery. https://doi.org/10.14778/3632093.3632106
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[165]
2023 | Published | Conference Paper | IST-REx-ID: 18215 | OA
Gahtan, B., Cohen, R., Bronstein, A. M., & Kedar, G. (2023). Using deep reinforcement learning for mmWave real-time scheduling. In 14th International Conference on Network of the Future (pp. 71–79). Izmir, Turkiye: IEEE. https://doi.org/10.1109/nof58724.2023.10302794
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[164]
2023 | Published | Journal Article | IST-REx-ID: 18216 | OA
Rosenberg, A. A., Yehishalom, N., Marx, A., & Bronstein, A. M. (2023). 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. https://doi.org/10.1073/pnas.2301064120
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[163]
2023 | Published | Conference Paper | IST-REx-ID: 18217 | OA
Zadok, D., Salzman, O., Wolf, A., & Bronstein, A. M. (2023). Towards predicting fine finger motions from ultrasound images via kinematic representation. In 2023 IEEE International Conference on Robotics and Automation (Vol. 27). London, United Kingdom: IEEE. https://doi.org/10.1109/icra48891.2023.10160601
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[162]
2023 | Published | Conference Paper | IST-REx-ID: 18218 | OA
Nemcovsky, Y., Jacoby, M., Bronstein, A. M., & Baskin, C. (2023). Physical passive patch adversarial attacks on visual odometry systems. In 16th Asian Conference on Computer Vision (Vol. 13847, pp. 518–534). Macao, China: Springer Nature. https://doi.org/10.1007/978-3-031-26293-7_31
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[161]
2023 | Published | Journal Article | IST-REx-ID: 18219 | OA
Schwartz, E., Bronstein, A. M., & Giryes, R. (2023). ISP Distillation. IEEE Open Journal of Signal Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ojsp.2023.3239819
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[160]
2022 | Published | Journal Article | IST-REx-ID: 18211
Nemcovsky, Y., Zheltonozhskii, E., Baskin, C., Chmiel, B., Bronstein, A. M., & Mendelson, A. (2022). Adversarial robustness via noise injection in smoothed models. Applied Intelligence. Springer Nature. https://doi.org/10.1007/s10489-022-03423-5
View | DOI
 
[159]
2022 | Published | Journal Article | IST-REx-ID: 18220 | OA
Ackerman-Schraier, L., Rosenberg, A. A., Marx, A., & Bronstein, A. M. (2022). Machine learning approaches demonstrate that protein structures carry information about their genetic coding. Scientific Reports. Springer Nature. https://doi.org/10.1038/s41598-022-25874-z
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[158]
2022 | Published | Journal Article | IST-REx-ID: 18221 | OA
Rosenberg, A. A., Marx, A., & Bronstein, A. M. (2022). Codon-specific Ramachandran plots show amino acid backbone conformation depends on identity of the translated codon. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-022-30390-9
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[157]
2022 | Published | Journal Article | IST-REx-ID: 18222 | OA
Fordham, D. E., Rosentraub, D., Polsky, A. L., Aviram, T., Wolf, Y., Perl, O., … Munné, S. (2022). Embryologist agreement when assessing blastocyst implantation probability: Is data-driven prediction the solution to embryo assessment subjectivity? Human Reproduction. Oxford University Press. https://doi.org/10.1093/humrep/deac171
[Published Version] View | DOI | Download Published Version (ext.)
 
[156]
2022 | Published | Book Chapter | IST-REx-ID: 18223
Rosenberg, A. A., Bronstein, A. M., & Marx, A. (2022). Recording Silence – Accurate Annotation of the Genetic Sequence Is Required to Better Understand How Synonymous Coding Affects Protein Structure and Disease. In Z. E. Sauna & C. Kimchi-Sarfaty (Eds.), Single Nucleotide Polymorphisms (pp. 37–47). Cham: Springer Nature. https://doi.org/10.1007/978-3-031-05616-1_3
View | DOI
 
[155]
2022 | Published | Journal Article | IST-REx-ID: 18224 | OA
Schwartz, E., Karlinsky, L., Feris, R., Giryes, R., & Bronstein, A. M. (2022). Baby steps towards few-shot learning with multiple semantics. Pattern Recognition Letters. Elsevier. https://doi.org/10.1016/j.patrec.2022.06.012
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[154]
2022 | Published | Journal Article | IST-REx-ID: 18225 | OA
Pai, G., Bronstein, A. M., Talmon, R., & Kimmel, R. (2022). Deep isometric maps. Image and Vision Computing. Elsevier. https://doi.org/10.1016/j.imavis.2022.104461
[Published Version] View | DOI | Download Published Version (ext.)
 
[153]
2022 | Published | Journal Article | IST-REx-ID: 18226 | OA
Rozenberg, E., Karnieli, A., Yesharim, O., Foley-Comer, J., Trajtenberg-Mills, S., Freedman, D., … Arie, A. (2022). Inverse design of spontaneous parametric downconversion for generation of high-dimensional qudits. Optica. Optica Publishing Group. https://doi.org/10.1364/optica.451115
[Published Version] View | DOI | Download Published Version (ext.)
 
[152]
2022 | Published | Journal Article | IST-REx-ID: 18227
Kang, P., Lin, Z., Yang, Z., Bronstein, A. M., Li, Q., & Liu, W. (2022). Deep fused two-step cross-modal hashing with multiple semantic supervision. Multimedia Tools and Applications. Springer Nature. https://doi.org/10.1007/s11042-022-12187-6
View | DOI
 
[151]
2022 | Published | Conference Paper | IST-REx-ID: 18229 | OA
Amrani, E., Karlinsky, L., & Bronstein, A. M. (2022). Self-supervised classification network. In 17th European Conference on Computer Vision (Vol. 13691, pp. 116–132). Tel Aviv, Israel: Springer Nature. https://doi.org/10.1007/978-3-031-19821-2_7
View | Files available | DOI | Download None (ext.) | arXiv
 
[150]
2022 | Published | Conference Paper | IST-REx-ID: 18230
Talati, N., Ye, H., Vedula, S., Chen, K.-Y., Chen, Y., Liu, D., … Dreslinski, R. (2022). Mint: An accelerator for mining temporal motifs. In 55th IEEE/ACM International Symposium on Microarchitecture. Chicago, IL, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/micro56248.2022.00089
View | DOI
 
[149]
2022 | Published | Conference Paper | IST-REx-ID: 18231
Zheltonozhskii, E., Baskin, C., Mendelson, A., Bronstein, A. M., & Litany, O. (2022). Contrast to divide: Self-supervised pre-training for learning with noisy labels. In IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 387–397). Waikoloa, HI, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/wacv51458.2022.00046
[Preprint] View | Files available | DOI | arXiv
 
[148]
2022 | Published | Journal Article | IST-REx-ID: 18232
Kang, P., Lin, Z., Yang, Z., Fang, X., Bronstein, A. M., Li, Q., & Liu, W. (2022). Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval. Applied Intelligence. Springer Nature. https://doi.org/10.1007/s10489-021-02308-3
View | DOI
 
[147]
2021 | Published | Journal Article | IST-REx-ID: 18233 | OA
Nahshan, Y., Chmiel, B., Baskin, C., Zheltonozhskii, E., Banner, R., Bronstein, A. M., & Mendelson, A. (2021). Loss aware post-training quantization. Machine Learning. Springer Nature. https://doi.org/10.1007/s10994-021-06053-z
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[146]
2021 | Published | Journal Article | IST-REx-ID: 18234
Baskin, C., Zheltonozhkii, E., Rozen, T., Liss, N., Chai, Y., Schwartz, E., … Mendelson, A. (2021). NICE: Noise Injection and Clamping Estimation for neural network quantization. Mathematics. MDPI. https://doi.org/10.3390/math9172144
[Published Version] View | DOI | arXiv
 
[145]
2021 | Published | Journal Article | IST-REx-ID: 18235 | OA
Doveh, S., Schwartz, E., Xue, C., Feris, R., Bronstein, A. M., Giryes, R., & Karlinsky, L. (2021). MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. Pattern Recognition Letters. Elsevier. https://doi.org/10.1016/j.patrec.2021.05.010
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[144]
2021 | Published | Journal Article | IST-REx-ID: 18236
Elul, Y., Rosenberg, A. A., Schuster, A., Bronstein, A. M., & Yaniv, Y. (2021). 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. https://doi.org/10.1073/pnas.2020620118
[Published Version] View | DOI | PubMed | Europe PMC
 
[143]
2021 | Published | Journal Article | IST-REx-ID: 18237 | OA
Baskin, C., Liss, N., Schwartz, E., Zheltonozhskii, E., Giryes, R., Bronstein, A. M., & Mendelson, A. (2021). UNIQ: Uniform Noise Injection for Non-Uniform Quantization of neural networks. ACM Transactions on Computer Systems. Association for Computing Machinery. https://doi.org/10.1145/3444943
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[142]
2021 | Published | Journal Article | IST-REx-ID: 18238 | OA
Karbachevsky, A., Baskin, C., Zheltonozhskii, E., Yermolin, Y., Gabbay, F., Bronstein, A. M., & Mendelson, A. (2021). Early-stage neural network hardware performance analysis. Sustainability. MDPI. https://doi.org/10.3390/su13020717
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[141]
2021 | Published | Conference Paper | IST-REx-ID: 18239 | OA
Arbelle, A., Doveh, S., Alfassy, A., Shtok, J., Lev, G., Schwartz, E., … Karlinsky, L. (2021). Detector-free weakly supervised grounding by separation. In IEEE/CVF International Conference on Computer Vision (Vol. 15). Montreal, Canada: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/iccv48922.2021.00182
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[140]
2021 | Published | Conference Paper | IST-REx-ID: 18240 | OA
Dahary, O., Jacoby, M., & Bronstein, A. M. (2021). Digital gimbal: End-to-end deep image stabilization with learnable exposure times. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (Vol. 38). Nashville, TN, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/cvpr46437.2021.01176
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[139]
2021 | Published | Conference Paper | IST-REx-ID: 18241 | OA
Weiss, T., Peretz, N., Vedula, S., Feuer, A., & Bronstein, A. M. (2021). Joint optimization of system design and reconstruction in MIMO radar imaging. In 31st International Workshop on Machine Learning for Signal Processing (Vol. 4). Gold Coast, Australia: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/mlsp52302.2021.9596168
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[138]
2021 | Published | Book Chapter | IST-REx-ID: 18242 | OA
Weiss, T., Vedula, S., Senouf, O., Michailovich, O., & Bronstein, A. M. (2021). Towards learned optimal q-space sampling in diffusion MRI. In N. Gyori, J. Hutter, V. Nath, M. Palombo, M. Pizzolato, & F. Zhang (Eds.), Computational Diffusion MRI (pp. 13–28). Cham: Springer Nature. https://doi.org/10.1007/978-3-030-73018-5_2
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[137]
2021 | Published | Conference Paper | IST-REx-ID: 18244 | OA
Livne, A., Aviv, Z., Grofit, S., Bronstein, A. M., & Kimmel, R. (2021). Do we need depth in state-uf-the-art face authentication? In 2020 International Conference on 3D Vision (3DV). Fukuoka, Japan: IEEE. https://doi.org/10.1109/3dv50981.2020.00099
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[136]
2020 | Published | Journal Article | IST-REx-ID: 18228 | OA
Sommer, S., & Bronstein, A. M. (2020). Horizontal flows and manifold stochastics in geometric deep learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tpami.2020.2994507
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[135]
2020 | Published | Journal Article | IST-REx-ID: 18245
Zabatani, A., Surazhsky, V., Sperling, E., Moshe, S. B., Menashe, O., Silver, D. H., … Kimmel, R. (2020). Intel® RealSenseTM SR300 coded light depth camera. IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tpami.2019.2915841
View | DOI | PubMed | Europe PMC
 
[134]
2020 | Published | Journal Article | IST-REx-ID: 18246
Mariani, G., Cosmo, L., Bronstein, A. M., & Rodolà, E. (2020). Generating adversarial surfaces via band‐limited perturbations. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.14083
View | DOI
 
[133]
2020 | Published | Journal Article | IST-REx-ID: 18250 | OA
Choukroun, Y., Shtern, A., Bronstein, A. M., & Kimmel, R. (2020). Hamiltonian operator for spectral shape analysis. IEEE Transactions on Visualization and Computer Graphics. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tvcg.2018.2867513
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[132]
2020 | Published | Journal Article | IST-REx-ID: 18252
Rotker, K., Bashat, D. B., & Bronstein, A. M. (2020). Overparameterized models for vector fields. SIAM Journal on Imaging Sciences. Society for Industrial & Applied Mathematics. https://doi.org/10.1137/19m1280697
View | DOI
 
[131]
2020 | Published | Journal Article | IST-REx-ID: 18253 | OA
Arbel, M., Bronstein, A. M., Sau, S., Liefshitz, B., & Kupiec, M. (2020). Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae. MBio. American Society for Microbiology. https://doi.org/10.1128/mbio.00705-20
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[130]
2020 | Published | Conference Paper | IST-REx-ID: 18259 | OA
Alfassy, A., Karlinsky, L., Aides, A., Shtok, J., Harary, S., Feris, R., … Bronstein, A. M. (2020). Laso: Label-set operations networks for multi-label few-shot learning. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach, CA, United States: IEEE. https://doi.org/10.1109/cvpr.2019.00671
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[129]
2020 | Published | Conference Paper | IST-REx-ID: 18255 | OA
Amrani, E., Ben-Ari, R., Hakim, T., & Bronstein, A. M. (2020). Learning to detect and retrieve objects from unlabeled videos. In 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). Seoul, Korea (South): IEEE. https://doi.org/10.1109/iccvw.2019.00567
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[128]
2020 | Published | Conference Paper | IST-REx-ID: 18258
Karlinsky, L., Shtok, J., Harary, S., Schwartz, E., Aides, A., Feris, R., … Bronstein, A. M. (2020). Repmet: Representative-based metric learning for classification and few-shot object detection. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach, CA, United States: IEEE. https://doi.org/10.1109/cvpr.2019.00534
View | DOI
 
[127]
2020 | Published | Conference Paper | IST-REx-ID: 18260
Halimi, O., Litany, O., Rodola, E. R., Bronstein, A. M., & Kimmel, R. (2020). Unsupervised learning of dense shape correspondence. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach, CA, United States: IEEE. https://doi.org/10.1109/cvpr.2019.00450
View | DOI
 
[126]
2020 | Published | Conference Paper | IST-REx-ID: 18249 | OA
Weiss, T., Vedula, S., Senouf, O., Michailovich, O., Zibulevsky, M., & Bronstein, A. M. (2020). Joint learning of cartesian undersampling and reconstruction for accelerated MRI. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Barcelona, Spain: IEEE. https://doi.org/10.1109/icassp40776.2020.9054542
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[125]
2020 | Published | Conference Paper | IST-REx-ID: 18247 | OA
Chmiel, B., Baskin, C., Zheltonozhskii, E., Banner, R., Yermolin, Y., Karbachevsky, A., … Mendelson, A. (2020). Feature map transform coding for energy-efficient CNN inference. In 2020 International Joint Conference on Neural Networks (IJCNN). Glasgow, United Kingdom: IEEE. https://doi.org/10.1109/ijcnn48605.2020.9206968
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[124]
2020 | Published | Conference Paper | IST-REx-ID: 18248
Amrani, E., Ben-Ari, R., Shapira, I., Hakim, T., & Bronstein, A. M. (2020). Self-supervised object detection and retrieval using unlabeled videos. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Seattle, WA, United States: IEEE. https://doi.org/10.1109/cvprw50498.2020.00485
View | DOI
 
[123]
2019 | Published | Journal Article | IST-REx-ID: 18263 | OA
Rodolà, E., Lähner, Z., Bronstein, A. M., Bronstein, M. M., & Solomon, J. (2019). Functional maps representation on product manifolds. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.13598
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[122]
2019 | Published | Journal Article | IST-REx-ID: 18264 | OA
Schwartz, E., Giryes, R., & Bronstein, A. M. (2019). DeepISP: Toward learning an end-to-end image processing pipeline. IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tip.2018.2872858
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[121]
2019 | Published | Conference Paper | IST-REx-ID: 18257 | OA
Rampini, A., Tallini, I., Ovsjanikov, M., Bronstein, A. M., & Rodola, E. (2019). Correspondence-free region localization for partial shape similarity via Hamiltonian spectrum alignment. In 2019 International Conference on 3D Vision (3DV). Quebec City, QC, Canada: IEEE. https://doi.org/10.1109/3dv.2019.00014
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[120]
2019 | Published | Conference Paper | IST-REx-ID: 18256 | OA
Diamant, N., Zadok, D., Baskin, C., Schwartz, E., & Bronstein, A. M. (2019). Beholder-Gan: Generation and beautification of facial images with conditioning on their beauty level. In 2019 IEEE International Conference on Image Processing (ICIP). Taipei, Taiwan: IEEE. https://doi.org/10.1109/icip.2019.8803807
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[119]
2019 | Published | Conference Paper | IST-REx-ID: 18262 | OA
Pai, G., Talmon, R., Bronstein, A. M., & Kimmel, R. (2019). DIMAL: Deep isometric manifold learning using sparse geodesic sampling. In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). Waikoloa, HI, United States: IEEE. https://doi.org/10.1109/wacv.2019.00092
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[118]
2018 | Published | Journal Article | IST-REx-ID: 18271 | OA
Remez, T., Litany, O., Giryes, R., & Bronstein, A. M. (2018). Class-aware fully convolutional Gaussian and Poisson denoising. IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tip.2018.2859044
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[117]
2018 | Published | Conference Paper | IST-REx-ID: 18273 | OA
Baskin, C., Liss, N., Zheltonozhskii, E., Bronstein, A. M., & Mendelson, A. (2018). 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). Vancouver, BC, Canada: IEEE. https://doi.org/10.1109/ipdpsw.2018.00032
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[116]
2018 | Published | Conference Paper | IST-REx-ID: 18276 | OA
Vestner, M., Lahner, Z., Boyarski, A., Litany, O., Slossberg, R., Remez, T., … Cremers, D. (2018). Efficient deformable shape correspondence via kernel matching. In 2017 International Conference on 3D Vision (3DV) (pp. 517–526). Qingdao, China: IEEE. https://doi.org/10.1109/3dv.2017.00065
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[115]
2018 | Published | Conference Paper | IST-REx-ID: 18402
Remez, T., Litany, O., Giryes, R., & Bronstein, A. M. (2018). Deep class-aware image denoising. In 2017 IEEE International Conference on Image Processing (ICIP) (pp. 1895–1899). Beijing, China: IEEE. https://doi.org/10.1109/icip.2017.8296611
View | DOI
 
[114]
2018 | Published | Conference Paper | IST-REx-ID: 18270 | OA
Litany, O., Bronstein, A. M., Bronstein, M., & Makadia, A. (2018). Deformable shape completion with graph convolutional autoencoders. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, UT, United States: IEEE. https://doi.org/10.1109/cvpr.2018.00202
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[113]
2018 | Published | Conference Paper | IST-REx-ID: 18272
Giryes, R., Eldar, Y. C., Bronstein, A. M., & Sapiro, G. (2018). The learned inexact project gradient descent algorithm. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Calgary, AB, Canada: IEEE. https://doi.org/10.1109/icassp.2018.8462136
View | DOI
 
[112]
2018 | Published | Journal Article | IST-REx-ID: 18278 | OA
Giryes, R., Eldar, Y. C., Bronstein, A. M., & Sapiro, G. (2018). Tradeoffs between convergence speed and reconstruction accuracy in inverse problems. IEEE Transactions on Signal Processing. IEEE. https://doi.org/10.1109/tsp.2018.2791945
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[111]
2018 | Published | Journal Article | IST-REx-ID: 18275 | OA
Bronstein, A. M., Gershon, L., Grinberg, G., Alonso-Perez, E., & Kupiec, M. (2018). 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. https://doi.org/10.1128/mbio.01192-18
[Published Version] View | DOI | Download Published Version (ext.)
 
[110]
2018 | Published | Journal Article | IST-REx-ID: 18277 | OA
Bronstein, A. M., Bramson, S., Shemesh, K., Liefshitz, B., & Kupiec, M. (2018). Tight regulation of Srs2 helicase activity is crucial for proper functioning of DNA Repair mechanisms. G3: Genes, Genomes, Genetics . Oxford University Press (OUP). https://doi.org/10.1534/g3.118.200181
[Published Version] View | DOI | Download Published Version (ext.)
 
[109]
2017 | Published | Conference Paper | IST-REx-ID: 18403
Chen, J., Chang, Z., Qiu, Q., Li, X., Sapiro, G., Bronstein, A. M., & Pietikainen, M. (2017). RealSense = real heart rate: Illumination invariant heart rate estimation from videos. In 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA). Oulu, Finland: IEEE. https://doi.org/10.1109/ipta.2016.7820970
View | DOI
 
[108]
2017 | Published | Conference Paper | IST-REx-ID: 18288
Remez, T., Litany, O., Giryes, R., & Bronstein, A. M. (2017). Deep class-aware image denoising. In 2017 International Conference on Sampling Theory and Applications (SampTA). Tallinn, Estonia: IEEE. https://doi.org/10.1109/sampta.2017.8024474
View | DOI
 
[107]
2017 | Published | Conference Paper | IST-REx-ID: 18287 | OA
Vestner, M., Litman, R., Rodola, E., Bronstein, A. M., & Cremers, D. (2017). 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) (pp. 6681–6690). Honolulu, HI, United States: IEEE. https://doi.org/10.1109/cvpr.2017.707
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[106]
2017 | Published | Journal Article | IST-REx-ID: 18366 | OA
Litany, O., Remez, T., Freedman, D., Shapira, L., Bronstein, A. M., & Gal, R. (2017). ASIST: Automatic semantically invariant scene transformation. Computer Vision and Image Understanding. Elsevier. https://doi.org/10.1016/j.cviu.2016.08.002
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[105]
2017 | Published | Journal Article | IST-REx-ID: 18372 | OA
Shemesh, K., Sebesta, M., Pacesa, M., Sau, S., Bronstein, A. M., Parnas, O., … Kupiec, M. (2017). 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). https://doi.org/10.1093/nar/gkw1348
[Published Version] View | DOI | Download Published Version (ext.)
 
[104]
2017 | Published | Journal Article | IST-REx-ID: 18427
Litany, O., Rodolà, E., Bronstein, A. M., & Bronstein, M. M. (2017). Fully spectral partial shape matching. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.13123
View | DOI
 
[103]
2016 | Published | Book Chapter | IST-REx-ID: 18328
Pokrass, J., Bronstein, A. M., Bronstein, M. M., Sprechmann, P., & Sapiro, G. (2016). Sparse Models for Intrinsic Shape Correspondence. In M. Breuß, A. Bruckstein, P. Maragos, & S. Wuhrer (Eds.), Perspectives in Shape Analysis (1st ed., pp. 211–230). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-24726-7_10
View | DOI
 
[102]
2016 | Published | Conference Paper | IST-REx-ID: 18388 | OA
Remez, T., Litany, O., & Bronstein, A. M. (2016). 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). Evanston, IL, United States: IEEE. https://doi.org/10.1109/iccphot.2016.7492874
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[101]
2016 | Published | Conference Paper | IST-REx-ID: 18374 | OA
Bronstein, A. M., Choukroun, Y., Kimmel, R., & Sela, M. (2016). Consistent discretization and minimization of the L1 norm on manifolds. In 2016 Fourth International Conference on 3D Vision (3DV). Stanford, CA, United States: IEEE. https://doi.org/10.1109/3dv.2016.53
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[100]
2016 | Published | Conference Paper | IST-REx-ID: 18375 | OA
Litman, R., & Bronstein, A. M. (2016). SpectroMeter: Amortized sublinear spectral approximation of distance on graphs. In 2016 Fourth International Conference on 3D Vision (3DV). Stanford, CA, United States: IEEE. https://doi.org/10.1109/3dv.2016.60
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[99]
2016 | Published | Journal Article | IST-REx-ID: 18419 | OA
Giryes, R., Sapiro, G., & Bronstein, A. M. (2016). Deep neural networks with random Gaussian weights: A universal classification strategy? IEEE Transactions on Signal Processing. IEEE. https://doi.org/10.1109/tsp.2016.2546221
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[98]
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.)
 
[97]
2016 | Published | Journal Article | IST-REx-ID: 18426 | OA
Litany, O., Rodolà, E., Bronstein, A. M., Bronstein, M. M., & Cremers, D. (2016). Non‐rigid puzzles. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.12970
[Preprint] View | DOI | Download Preprint (ext.)
 
[96]
2016 | Published | Journal Article | IST-REx-ID: 18430
Bian, X., Krim, H., Bronstein, A. M., & Dai, L. (2016). Sparsity and nullity: Paradigms for analysis dictionary learning. SIAM Journal on Imaging Sciences. Society for Industrial & Applied Mathematics. https://doi.org/10.1137/15m1030376
View | DOI
 
[95]
2015 | Published | Book Chapter | IST-REx-ID: 18326
Bronstein, A. M., & Bronstein, M. M. (2015). Manifold Intrinsic Similarity. In O. Scherzer (Ed.), Handbook of Mathematical Methods in Imaging (2nd ed., pp. 1859–1908). New York: Springer Nature. https://doi.org/10.1007/978-1-4939-0790-8_57
View | DOI
 
[94]
2015 | Published | Book Chapter | IST-REx-ID: 18327
Sprechmann, P., Bronstein, A. M., & Sapiro, G. (2015). Supervised non-negative matrix factorization for audio source separation. In Excursions in Harmonic Analysis, Volumne 4 (1st ed., pp. 407–420). Cham: Springer Nature. https://doi.org/10.1007/978-3-319-20188-7_16
View | DOI
 
[93]
2015 | Published | Journal Article | IST-REx-ID: 18371
Aflalo, Y., Bronstein, A. M., & Kimmel, R. (2015). On convex relaxation of graph isomorphism. Proceedings of the National Academy of Sciences. National Academy of Sciences. https://doi.org/10.1073/pnas.1401651112
View | DOI | PubMed | Europe PMC
 
[92]
2015 | Published | Conference Paper | IST-REx-ID: 18387
Bian, X., Krim, H., Bronstein, A. M., & Dai, L. (2015). 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). South Brisbane, QLD, Australia: IEEE. https://doi.org/10.1109/icassp.2015.7178678
View | DOI
 
[91]
2015 | Published | Conference Paper | IST-REx-ID: 18380
Litman, R., Korman, S., Bronstein, A. M., & Avidan, S. (2015). Inverting RANSAC: Global model detection via inlier rate estimation. In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Boston, MA, United States: IEEE. https://doi.org/10.1109/cvpr.2015.7299161
View | DOI
 
[90]
2015 | Published | Conference Paper | IST-REx-ID: 18400
Menashe, O., & Bronstein, A. M. (2015). Real-time compressed imaging of scattering volumes. In 2014 IEEE International Conference on Image Processing (ICIP). Paris, France: IEEE. https://doi.org/10.1109/icip.2014.7025264
View | DOI
 
[89]
2015 | Published | Conference Paper | IST-REx-ID: 18401
Draelos, M., Qiu, Q., Bronstein, A. M., & Sapiro, G. (2015). Intel realsense = Real low cost gaze. In 2015 IEEE International Conference on Image Processing (ICIP). Quebec City, QC, Canada: IEEE. https://doi.org/10.1109/icip.2015.7351256
View | DOI
 
[88]
2015 | Published | Journal Article | IST-REx-ID: 18416
Eynard, D., Kovnatsky, A., Bronstein, M. M., Glashoff, K., & Bronstein, A. M. (2015). Multimodal manifold snalysis by simultaneous diagonalization of Laplacians. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE. https://doi.org/10.1109/tpami.2015.2408348
View | DOI | PubMed | Europe PMC
 
[87]
2015 | Published | Journal Article | IST-REx-ID: 18415 | OA
Sprechmann, P., Bronstein, A. M., & Sapiro, G. (2015). Learning efficient sparse and low rank models. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE. https://doi.org/10.1109/tpami.2015.2392779
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[86]
2015 | Published | Journal Article | IST-REx-ID: 18365 | OA
Simpson-Lavy, K. J., Bronstein, A. M., Kupiec, M., & Johnston, M. (2015). Cross-talk between carbon cetabolism and the DNA camage response in S. cerevisiae. Cell Reports. Elsevier. https://doi.org/10.1016/j.celrep.2015.08.025
[Published Version] View | DOI | Download Published Version (ext.)
 
[85]
2015 | Published | Journal Article | IST-REx-ID: 18424 | OA
Korman, S., Litman, R., Avidan, S., & Bronstein, A. M. (2015). Probably approximately symmetric: Fast rigid symmetry detection with global guarantees. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.12454
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[84]
2015 | Published | Journal Article | IST-REx-ID: 18436 | OA
Haim, H., Bronstein, A. M., & Marom, E. (2015). Computational multi-focus imaging combining sparse model with color dependent phase mask. Optics Express. Optica Publishing Group. https://doi.org/10.1364/oe.23.024547
[Published Version] View | DOI | Download Published Version (ext.)
 
[83]
2015 | Published | Conference Paper | IST-REx-ID: 18439 | OA
Qiu, Q., Chang, Z., Draelos, M., Chen, J., Bronstein, A. M., & Sapiro, G. (2015). Low-cost gaze and pulse analysis using realsense. In Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare. London, United Kingdom: ICST. https://doi.org/10.4108/eai.14-10-2015.2261657
[Published Version] View | DOI | Download Published Version (ext.)
 
[82]
2015 | Published | Journal Article | IST-REx-ID: 18425
Biasotti, S., Cerri, A., Bronstein, A. M., & Bronstein, M. (2015). Recent trends, applications, and perspectives in 3D shape similarity assessment. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.12734
View | DOI
 
[81]
2014 | Published | Journal Article | IST-REx-ID: 18353
Raviv, D., Bronstein, A. M., Bronstein, M. M., Waisman, D., Sochen, N., & Kimmel, R. (2014). Equi-affine invariant geometry for shape analysis. Journal of Mathematical Imaging and Vision. Springer Nature. https://doi.org/10.1007/s10851-013-0467-y
View | DOI
 
[80]
2014 | Published | Conference Paper | IST-REx-ID: 18384
Sprechmann, P., Bronstein, A. M., & Sapiro, G. (2014). 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). Villers-les-Nancy, France: IEEE. https://doi.org/10.1109/hscma.2014.6843241
View | DOI
 
[79]
2014 | Published | Journal Article | IST-REx-ID: 18413
Litman, R., & Bronstein, A. M. (2014). Learning spectral descriptors for deformable shape correspondence. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE. https://doi.org/10.1109/tpami.2013.148
View | DOI | PubMed | Europe PMC
 
[78]
2014 | Published | Journal Article | IST-REx-ID: 18414 | OA
Masci, J., Bronstein, M. M., Bronstein, A. M., & Schmidhuber, J. (2014). Multimodal similarity-preserving hashing. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE. https://doi.org/10.1109/tpami.2013.225
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[77]
2014 | Published | Journal Article | IST-REx-ID: 18423
Litman, R., Bronstein, A. M., Bronstein, M., & Castellani, U. (2014). Supervised learning of bag‐of‐features shape descriptors using sparse coding. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.12438
View | DOI
 
[76]
2013 | Published | Conference Paper | IST-REx-ID: 18395
Saabni, R., & Bronstein, A. M. (2013). Fast key-word searching using “BoostMap” based embedding. In 2012 International Conference on Frontiers in Handwriting Recognition. Bari, Italy: IEEE. https://doi.org/10.1109/icfhr.2012.204
View | DOI
 
[75]
2013 | Published | Conference Paper | IST-REx-ID: 18386
Sprechmann, P., Bronstein, A. M., Morel, J.-M., & Sapiro, G. (2013). Audio restoration from multiple copies. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. Vancouver, BC, Canada: IEEE. https://doi.org/10.1109/icassp.2013.6637774
View | DOI
 
[74]
2013 | Published | Conference Paper | IST-REx-ID: 18385
Sprechmann, P., Bronstein, A. M., Bronstein, M., & Sapiro, G. (2013). Learnable low rank sparse models for speech denoising. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. Vancouver, BC, Canada: IEEE. https://doi.org/10.1109/icassp.2013.6637624
View | DOI
 
[73]
2013 | Published | Journal Article | IST-REx-ID: 18437 | OA
Gazy, I., Liefshitz, B., Bronstein, A. M., Parnas, O., Atias, N., Sharan, R., & Kupiec, M. (2013). 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. https://doi.org/10.1534/g3.113.005561
[Published Version] View | DOI | Download Published Version (ext.)
 
[72]
2013 | Published | Journal Article | IST-REx-ID: 18422 | OA
Pokrass, J., Bronstein, A. M., Bronstein, M. M., Sprechmann, P., & Sapiro, G. (2013). Sparse modeling of intrinsic correspondences. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.12066
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[71]
2013 | Published | Journal Article | IST-REx-ID: 18421 | OA
Kovnatsky, A., Bronstein, M. M., Bronstein, A. M., Glashoff, K., & Kimmel, R. (2013). Coupled quasi‐harmonic bases. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.12064
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[70]
2013 | Published | Journal Article | IST-REx-ID: 18441
Bronstein, A. M., Pokrass, J., & Bronstein, M. M. (2013). Partial shape matching without point-wise correspondence. Numerical Mathematics: Theory, Methods and Applications. Global Science Press. https://doi.org/10.4208/nmtma.2013.mssvm12
View | DOI
 
[69]
2013 | Published | Journal Article | IST-REx-ID: 18440
Bronstein, A. M., Kovnatsky, A., Raviv, D., Bronstein, M. M., & Kimmel, R. (2013). Geometric and photometric data fusion in non-rigid shape analysis. Numerical Mathematics: Theory, Methods and Applications. Global Science Press. https://doi.org/10.4208/nmtma.2013.mssvm11
View | DOI
 
[68]
2012 | Published | Book Chapter | IST-REx-ID: 18325
Bronstein, A. M., Bronstein, M. M., & Ovsjanikov, M. (2012). Feature-Based Methods in 3D Shape Analysis. In N. Pears, Y. Liu, & P. Bunting (Eds.), 3D Imaging, Analysis and Applications (pp. 185–219). London: Springer Nature. https://doi.org/10.1007/978-1-4471-4063-4_5
View | DOI
 
[67]
2012 | Published | Journal Article | IST-REx-ID: 18364
Litman, R., Bronstein, A. M., & Bronstein, M. M. (2012). Stable volumetric features in deformable shapes. Computers & Graphics. Elsevier. https://doi.org/10.1016/j.cag.2012.03.034
View | DOI
 
[66]
2012 | Published | Journal Article | IST-REx-ID: 18412
Strecha, C., Bronstein, A. M., Bronstein, M. M., & Fua, P. (2012). LDAHash: Improved matching with smaller descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tpami.2011.103
View | DOI | PubMed | Europe PMC
 
[65]
2012 | Published | Conference Paper | IST-REx-ID: 18344
Hooda, A., Bronstein, M. M., Bronstein, A. M., & Horaud, R. P. (2012). Shape palindromes: Analysis of intrinsic symmetries in 2D articulated shapes. In Scale Space and Variational Methods in Computer Vision (Vol. 6667, pp. 665–676). Ein-Gedi, Israel: Springer Nature. https://doi.org/10.1007/978-3-642-24785-9_56
View | DOI
 
[64]
2012 | Published | Conference Paper | IST-REx-ID: 18378
Kokkinos, I., Bronstein, M. M., Litman, R., & Bronstein, A. M. (2012). Intrinsic shape context descriptors for deformable shapes. In 2012 IEEE Conference on Computer Vision and Pattern Recognition. Providence, RI, United States: IEEE. https://doi.org/10.1109/cvpr.2012.6247671
View | DOI
 
[63]
2012 | Published | Conference Paper | IST-REx-ID: 18379
Rodola, E., Bronstein, A. M., Albarelli, A., Bergamasco, F., & Torsello, A. (2012). A game-theoretic approach to deformable shape matching. In 2012 IEEE Conference on Computer Vision and Pattern Recognition. Providence, RI, United States: IEEE. https://doi.org/10.1109/cvpr.2012.6247674
View | DOI
 
[62]
2011 | Published | Journal Article | IST-REx-ID: 18362 | OA
Litman, R., Bronstein, A. M., & Bronstein, M. M. (2011). Diffusion-geometric maximally stable component detection in deformable shapes. Computers & Graphics. Elsevier. https://doi.org/10.1016/j.cag.2011.03.011
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[61]
2011 | Published | Journal Article | IST-REx-ID: 18363 | OA
Raviv, D., Bronstein, A. M., Bronstein, M. M., Kimmel, R., & Sochen, N. (2011). Affine-invariant geodesic geometry of deformable 3D shapes. Computers & Graphics. Elsevier. https://doi.org/10.1016/j.cag.2011.03.030
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[60]
2011 | Published | Journal Article | IST-REx-ID: 18411
Bronstein, M. M., & Bronstein, A. M. (2011). Shape recognition with spectral distances. IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tpami.2010.210
View | DOI | PubMed | Europe PMC
 
[59]
2011 | Published | Conference Paper | IST-REx-ID: 18394
Saabni, R., & Bronstein, A. M. (2011). Fast key-word searching via embedding and active-DTW. In 2011 International Conference on Document Analysis and Recognition. Beijing, China: IEEE. https://doi.org/10.1109/icdar.2011.23
View | DOI
 
[58]
2011 | Published | Conference Paper | IST-REx-ID: 18406
Michel, F., Bronstein, M., Bronstein, A. M., & Paragios, N. (2011). Boosted metric learning for 3D multi-modal deformable registration. In 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Chicago, IL, United States: IEEE. https://doi.org/10.1109/isbi.2011.5872619
View | DOI
 
[57]
2011 | Published | Conference Paper | IST-REx-ID: 18377 | OA
Raviv, D., Bronstein, M. M., Bronstein, A. M., Kimmel, R., & Sochen, N. (2011). Affine-invariant diffusion geometry for the analysis of deformable 3D shapes. In CVPR 2011. Colorado Springs, CO, United States: IEEE. https://doi.org/10.1109/cvpr.2011.5995486
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[56]
2011 | Published | Journal Article | IST-REx-ID: 18433
Bronstein, A. M., Bronstein, M. M., Guibas, L. J., & Ovsjanikov, M. (2011). Shape google: Geometric words and expressions for invariant shape retrieval. ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/1899404.1899405
View | DOI
 
[55]
2010 | Published | Conference Paper | IST-REx-ID: 18339
Mitra, N. J., Bronstein, A. M., & Bronstein, M. (2010). Intrinsic regularity detection in 3D geometry. In 11th European Conference on Computer Vision (Vol. 6313, pp. 398–410). Heraklion, Greece: Springer Nature. https://doi.org/10.1007/978-3-642-15558-1_29
View | DOI
 
[54]
2010 | Published | Journal Article | IST-REx-ID: 18358
Bronstein, A. M., Bronstein, M. M., Kimmel, R., Mahmoudi, M., & Sapiro, G. (2010). A Gromov-Hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-009-0301-6
View | DOI
 
[53]
2010 | Published | Journal Article | IST-REx-ID: 18359
Raviv, D., Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2010). Full and partial symmetries of non-rigid shapes. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-010-0320-3
View | DOI
 
[52]
2010 | Published | Journal Article | IST-REx-ID: 18360 | OA
Rosman, G., Bronstein, M. M., Bronstein, A. M., & Kimmel, R. (2010). Nonlinear dimensionality reduction by topologically constrained isometric embedding. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-010-0322-1
[Published Version] View | DOI | Download Published Version (ext.)
 
[51]
2010 | Published | Conference Paper | IST-REx-ID: 18376
Bronstein, M. M., Bronstein, A. M., Michel, F., & Paragios, N. (2010). Data fusion through cross-modality metric learning using similarity-sensitive hashing. In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 3594–3601). San Francisco, CA, USA: IEEE. https://doi.org/10.1109/cvpr.2010.5539928
View | DOI
 
[50]
2010 | Published | Conference Paper | IST-REx-ID: 18338
Bronstein, A. M., & Bronstein, M. M. (2010). Spatially-sensitive affine-invariant image descriptors. In 11th European Conference on Computer Vision (Vol. 6312, pp. 197–208). Heraklion, Greece: Springer Nature. https://doi.org/10.1007/978-3-642-15552-9_15
View | DOI
 
[49]
2010 | Published | Conference Paper | IST-REx-ID: 18432
Raviv, D., Bronstein, M. M., Bronstein, A. M., & Kimmel, R. (2010). Volumetric heat kernel signatures. In Proceedings of the ACM workshop on 3D object retrieval (pp. 39–44). Firenze, Italy: ACM. https://doi.org/10.1145/1877808.1877817
View | DOI
 
[48]
2009 | Published | Journal Article | IST-REx-ID: 18356
Bronstein, A. M., Bronstein, M. M., Bruckstein, A. M., & Kimmel, R. (2009). Partial similarity of objects, or how to compare a centaur to a horse. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-008-0147-3
View | DOI
 
[47]
2009 | Published | Journal Article | IST-REx-ID: 18357
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2009). Topology-invariant similarity of nonrigid shapes. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-008-0172-2
View | DOI
 
[46]
2009 | Published | Conference Paper | IST-REx-ID: 18391
Rubinstein, O., Honen, Y., Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2009). 3D-color video camera. In 12th International Conference on Computer Vision Workshops. Kyoto, Japan: IEEE. https://doi.org/10.1109/iccvw.2009.5457433
View | DOI
 
[45]
2009 | Published | Conference Paper | IST-REx-ID: 18392
Ovsjanikov, M., Bronstein, A. M., Bronstein, M. M., & Guibas, L. J. (2009). Shape Google: A computer vision approach to isometry invariant shape retrieval. In 12th International Conference on Computer Vision Workshops. Kyoto, Japan: IEEE. https://doi.org/10.1109/iccvw.2009.5457682
View | DOI
 
[44]
2009 | Published | Conference Paper | IST-REx-ID: 18393
Devir, Y. S., Rosman, G., Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2009). On reconstruction of non-rigid shapes with intrinsic regularization. In 12th International Conference on Computer Vision Workshops. Kyoto, Japan: IEEE. https://doi.org/10.1109/iccvw.2009.5457688
View | DOI
 
[43]
2009 | Published | Journal Article | IST-REx-ID: 18438 | OA
Bronstein, A. M., Bronstein, M. M., Carmon, Y., & Kimmel, R. (2009). Partial similarity of shapes using a statistical significance measure. IPSJ Transactions on Computer Vision and Applications. Information Processing Society of Japan. https://doi.org/10.2197/ipsjtcva.1.105
[Published Version] View | DOI | Download Published Version (ext.)
 
[42]
2008 | Published | Conference Paper | IST-REx-ID: 18337
Bronstein, A. M., & Bronstein, M. M. (2008). Regularized partial matching of rigid shapes. In 10th European Conference on Computer Vision (Vol. 5303, pp. 143–154). Marseille, France: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-88688-4_11
View | DOI
 
[41]
2008 | Published | Journal Article | IST-REx-ID: 18355
Bronstein, A. M., Bronstein, M. M., Bruckstein, A. M., & Kimmel, R. (2008). Analysis of two-dimensional non-rigid shapes. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-007-0078-4
View | DOI
 
[40]
2008 | Published | Conference Paper | IST-REx-ID: 18381
Bronstein, A. M., & Bronstein, M. M. (2008). Not only size matters: Regularized partial matching of nonrigid shapes. In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. Anchorage, AK, United States: IEEE. https://doi.org/10.1109/cvprw.2008.4563077
View | DOI
 
[39]
2008 | Published | Journal Article | IST-REx-ID: 18431
Weber, O., Devir, Y. S., Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2008). Parallel algorithms for approximation of distance maps on parametric surfaces. ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/1409625.1409626
View | DOI
 
[38]
2007 | Published | Conference Paper | IST-REx-ID: 18336
Bronstein, A. M., Bronstein, M. M., Bruckstein, A. M., & Kimmel, R. (2007). Paretian similarity for partial comparison of non-rigid objects. In First International Conference on Scale Space and Variational Methods in Computer Vision (Vol. 4485, pp. 264–275). Ischia, Italy: Springer Nature. https://doi.org/10.1007/978-3-540-72823-8_23
View | DOI
 
[37]
2007 | Published | Journal Article | IST-REx-ID: 18367
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2007). Weighted distance maps computation on parametric three-dimensional manifolds. Journal of Computational Physics. Elsevier. https://doi.org/10.1016/j.jcp.2007.01.009
View | DOI
 
[36]
2007 | Published | Conference Paper | IST-REx-ID: 18389
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2007). Rock, paper, and scissors: Extrinsic vs. intrinsic similarity of non-rigid shapes. In 11th International Conference on Computer Vision. Rio de Janeiro, Brazil: IEEE. https://doi.org/10.1109/iccv.2007.4409076
View | DOI
 
[35]
2007 | Published | Conference Paper | IST-REx-ID: 18390
Raviv, D., Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2007). Symmetries of non-rigid shapes. In 11th International Conference on Computer Vision (Vol. 72). Rio de Janeiro, Brazil: IEEE. https://doi.org/10.1109/iccv.2007.4409181
View | DOI
 
[34]
2007 | Published | Journal Article | IST-REx-ID: 18420
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2007). Calculus of nonrigid surfaces for geometry and texture manipulation. IEEE Transactions on Visualization and Computer Graphics. IEEE. https://doi.org/10.1109/tvcg.2007.1041
View | DOI
 
[33]
2006 | Published | Journal Article | IST-REx-ID: 18318
Bronstein, M. M., Bronstein, A. M., Kimmel, R., & Yavneh, I. (2006). Multigrid multidimensional scaling. Numerical Linear Algebra with Applications. Wiley. https://doi.org/10.1002/nla.475
View | DOI
 
[32]
2006 | Published | Conference Paper | IST-REx-ID: 18320
Bronstein, A. M., Bronstein, M. M., & Zibulevsky, M. (2006). On separation of semitransparent dynamic images from static background. In 6th International Conference on Independent Component Analysis and Signal Separation (Vol. 3889, pp. 934–940). Charleston, SC, United States: Springer Nature. https://doi.org/10.1007/11679363_116
View | DOI
 
[31]
2006 | Published | Conference Paper | IST-REx-ID: 18321
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2006). Robust expression-invariant face recognition from partially missing data. In 9th European Conference on Computer Vision (Vol. 3953). Graz, Austria: Springer Nature. https://doi.org/10.1007/11744078_31
View | DOI
 
[30]
2006 | Published | Conference Paper | IST-REx-ID: 18322
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2006). Facetoface: An isometric model for facial animation. In 4th International Conference on Articulated Motion and Deformable Objects (Vol. 4069, pp. 38–47). Mallorca, Spain: Springer Nature. https://doi.org/10.1007/11789239_5
View | DOI
 
[29]
2006 | Published | Conference Paper | IST-REx-ID: 18323
Bronstein, A. M., Bronstein, M. M., Bruckstein, A. M., & Kimmel, R. (2006). Matching two-dimensional articulated shapes using generalized multidimensional scaling. In 4th International Conference on Articulated Motion and Deformable Objects (Vol. 4069, pp. 48–57). Mallorca, Spain: Springer Nature. https://doi.org/10.1007/11789239_6
View | DOI
 
[28]
2006 | Published | Journal Article | IST-REx-ID: 18370
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2006). Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.0508601103
View | DOI | PubMed | Europe PMC
 
[27]
2006 | Published | Journal Article | IST-REx-ID: 18408
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2006). Expression-invariant representations of faces. IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tip.2006.884940
View | DOI | PubMed | Europe PMC
 
[26]
2006 | Published | Journal Article | IST-REx-ID: 18429
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2006). Efficient computation of isometry-invariant distances between surfaces. SIAM Journal on Scientific Computing. Society for Industrial & Applied Mathematics. https://doi.org/10.1137/050639296
View | DOI
 
[25]
2005 | Published | Journal Article | IST-REx-ID: 18317
Bronstein, A. M., Bronstein, M. M., Zibulevsky, M., & Zeevi, Y. Y. (2005). Sparse ICA for blind separation of transmitted and reflected images. International Journal of Imaging Systems and Technology. Wiley. https://doi.org/10.1002/ima.20042
View | DOI
 
[24]
2005 | Published | Conference Paper | IST-REx-ID: 18319
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2005). Isometric embedding of facial surfaces into S3. In 5th International Conference on Scale-Space Theories in Computer Vision (Vol. 3459, pp. 622–631). Hofgeismar, Germany: Springer Berlin Heidelberg. https://doi.org/10.1007/11408031_53
View | DOI
 
[23]
2005 | Published | Journal Article | IST-REx-ID: 18354
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2005). Three-dimensional face recognition. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-005-1085-y
View | DOI
 
[22]
2005 | Published | Conference Paper | IST-REx-ID: 18398
Bronstein, A. M., Bronstein, M. M., Zibulevsky, M., & Zeevi, Y. Y. (2005). “Unmixing” tissues: Sparse component analysis in multi-contrast MRI. In IEEE International Conference on Image Processing (Vol. 2, pp. 1279–1282). Genova, Italy: IEEE. https://doi.org/10.1109/icip.2005.1530297
View | DOI
 
[21]
2005 | Published | Conference Paper | IST-REx-ID: 18399
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2005). Expression-invariant face recognition via spherical embedding. In International Conference on Image Processing (Vol. 3, pp. 756–759). Genova, Italy: IEEE. https://doi.org/10.1109/icip.2005.1530502
View | DOI
 
[20]
2005 | Published | Journal Article | IST-REx-ID: 18407
Bronstein, M. M., Bronstein, A. M., Zibulevsky, M., & Zeevi, Y. Y. (2005). Blind deconvolution of images using optimal sparse representations. IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tip.2005.847322
View | DOI | PubMed | Europe PMC
 
[19]
2005 | Published | Journal Article | IST-REx-ID: 18417
Bronstein, A. M., Bronstein, M. M., & Zibulevsky, M. (2005). Relative optimization for blind deconvolution. IEEE Transactions on Signal Processing. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/tsp.2005.847822
View | DOI
 
[18]
2005 | Published | Journal Article | IST-REx-ID: 18418
Bronstein, A. M., Bronstein, M. M., & Zibulevsky, M. (2005). Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency. IEEE Transactions on Signal Processing. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/tsp.2005.849221
View | DOI
 
[17]
2004 | Published | Conference Paper | IST-REx-ID: 18333
Bronstein, A. M., Bronstein, M. M., Zibulevsky, M., & Zeevi, Y. Y. (2004). Optimal sparse representations for blind deconvolution of images. In 5th International Conference on Independent Component Analysis and Blind Signal Separation (Vol. 3195, pp. 500–507). Granada, Spain: Springer Nature. https://doi.org/10.1007/978-3-540-30110-3_64
View | DOI
 
[16]
2004 | Published | Conference Paper | IST-REx-ID: 18335
Bronstein, A. M., Bronstein, M. M., Zibulevsky, M., & Zeevi, Y. Y. (2004). QML blind deconvolution: Asymptotic analysis. In Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation (Vol. 3195, pp. 677–684). Granada, Spain: Springer Nature. https://doi.org/10.1007/978-3-540-30110-3_86
View | DOI
 
[15]
2004 | Published | Journal Article | IST-REx-ID: 18368
Bronstein, A. M., Bronstein, M. M., & Zibulevsky, M. (2004). Blind source separation using block-coordinate relative Newton method. Signal Processing. Elsevier. https://doi.org/10.1016/j.sigpro.2004.05.019
View | DOI
 
[14]
2004 | Published | Conference Paper | IST-REx-ID: 18396
Bronstein, A. M., Bronstein, M. M., Gordon, E., & Kimmel, R. (2004). Fusion of 2D and 3D data in three-dimensional face recognition. In 2004 International Conference on Image Processing. Singapore, Singapore: IEEE. https://doi.org/10.1109/icip.2004.1418696
View | DOI
 
[13]
2004 | Published | Conference Paper | IST-REx-ID: 18332
Bronstein, A. M., Bronstein, M. M., & Zibulevsky, M. (2004). Blind source separation using the block-coordinate relative Newton method. In 5th International Conference on Independent Component Analysis and Blind Signal Separation (Vol. 3195, pp. 406–413). Granada, Spain: Springer Nature. https://doi.org/10.1007/978-3-540-30110-3_52
View | DOI
 
[12]
2004 | Published | Conference Paper | IST-REx-ID: 18334
Bronstein, A. M., Bronstein, M. M., & Zibulevsky, M. (2004). Blind deconvolution using the relative Newton method. In 5th International Conference on Independent Component Analysis and Blind Signal Separation (Vol. 3195, pp. 554–561). Berlin, Heidelberg: Springer Nature. https://doi.org/10.1007/978-3-540-30110-3_71
View | DOI
 
[11]
2004 | Published | Conference Paper | IST-REx-ID: 18331
Bronstein, A. M., Bronstein, M. M., Spira, A., & Kimmel, R. (2004). Face recognition from facial surface metric. In 8th European Conference on Computer Vision (Vol. 3022, pp. 225–237). Prageu, Czech Republic: Springer Nature. https://doi.org/10.1007/978-3-540-24671-8_18
View | DOI
 
[10]
2003 | Published | Conference Paper | IST-REx-ID: 18324
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2003). Expression-invariant 3D face recognition. In 4th International Conference on Audio- and Video-Based Biometric Person Authentication (Vol. 2688, pp. 62–70). Guildford, United Kingdom: Springer Nature. https://doi.org/10.1007/3-540-44887-x_8
View | DOI
 
[9]
2003 | Published | Journal Article | IST-REx-ID: 18410
Bronstein, A. M., Bronstein, M. M., Zibulevsky, M., & Zeevi, Y. Y. (2003). Optimal nonlinear line-of-flight estimation in positron emission tomography. IEEE Transactions on Nuclear Science. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tns.2003.812434
View | DOI
 
[8]
2003 | Published | Conference Paper | IST-REx-ID: 18428
Bronstein, A. M., Bronstein, M. M., Zibulevsky, M., & Zeevi, Y. Y. (2003). Separation of reflections via sparse ICA. In M. A. Unser, A. Aldroubi, & A. F. Laine (Eds.), SPIE Proceedings (Vol. 5207, pp. 292–296). San Diego, CA, United States: SPIE. https://doi.org/10.1117/12.505210
View | DOI
 
[7]
2002 | Published | Journal Article | IST-REx-ID: 18369
Bronstein, M. M., & Bronstein, A. M. (2002). Biometrics was no match for hair-raising tricks. Nature. Springer Nature. https://doi.org/10.1038/420739a
View | DOI | PubMed | Europe PMC
 
[6]
2002 | Published | Conference Paper | IST-REx-ID: 18382
Bronstein, A. M., Bronstein, M. M., Zibulevsky, M., & Zeevi, Y. Y. (2002). Optimal non-linear line-of-flight estimation in positron emission tomography. In The 22nd Convention on Electrical and Electronics Engineers in Israel (Vol. 2002–January, pp. 341–344). Tel-Aviv, Israel: IEEE. https://doi.org/10.1109/eeei.2002.1178493
View | DOI
 
[5]
2002 | Published | Conference Paper | IST-REx-ID: 18383
Bronstein, M. M., Bronstein, A. M., Zibulevsky, M., & Azhari, H. (2002). Application of the NUFFT for reconstruction problems in diffraction tomography. In The 22nd Convention on Electrical and Electronics Engineers in Israel (Vol. 2002–January, pp. 345–347). Tel-Aviv, Israel: IEEE. https://doi.org/10.1109/eeei.2002.1178495
View | DOI
 
[4]
2002 | Published | Conference Paper | IST-REx-ID: 18404
Bronstein, A. M., Bronstein, M., Zibulevsky, M., & Zeevi, Y. Y. (2002). Optimal nonlinear estimation of photon coordinates in PET. In Proceedings IEEE International Symposium on Biomedical Imaging (Vol. 2002–January, pp. 541–544). Washington, DC, United States: IEEE. https://doi.org/10.1109/isbi.2002.1029314
View | DOI
 
[3]
2002 | Published | Conference Paper | IST-REx-ID: 18405
Bronstein, M., Bronstein, A. M., & Zibulevsky, M. (2002). Iterative reconstruction in diffraction tomography using nonuniform fast Fourier transform. In Proceedings IEEE International Symposium on Biomedical Imaging (Vol. 2002–January, pp. 633–636). Washington, DC, United States: IEEE. https://doi.org/10.1109/isbi.2002.1029337
View | DOI
 
[2]
2002 | Published | Journal Article | IST-REx-ID: 18409
Bronstein, M. M., Bronstein, A. M., Zibulevsky, M., & Azhari, H. (2002). Reconstruction in diffraction ultrasound tomography using nonuniform FFT. IEEE Transactions on Medical Imaging. Institute of Electrical and Electronics Engineers. 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., Bronstein, A. M., Zibulevsky, M., & Zeevi, Y. Y. (2001). Optimal sparse representations for blind source separation and blind deconvolution: A learning approach. In 2004 International Conference on Image Processing. Singapore, Singapore: IEEE. https://doi.org/10.1109/icip.2004.1421428
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[175]
2024 | Published | Journal Article | IST-REx-ID: 18203 | OA
Rosenberg, A. A., Marx, A., & Bronstein, A. M. (2024). A dataset of alternately located segments in protein crystal structures. Scientific Data. Springer Nature. https://doi.org/10.1038/s41597-024-03595-4
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[174]
2024 | Published | Journal Article | IST-REx-ID: 18204 | OA
Elul, Y., Rozenberg, E., Boyarski, A., Yaniv, Y., Schuster, A., & Bronstein, A. M. (2024). Data-driven modeling of interrelated dynamical systems. Communications Physics. Springer Nature. https://doi.org/10.1038/s42005-024-01626-5
[Published Version] View | DOI | Download Published Version (ext.)
 
[173]
2024 | Published | Journal Article | IST-REx-ID: 18205 | OA
Wengrowicz, O., Bronstein, A. M., & Cohen, O. (2024). Unsupervised physics-informed deep learning-based reconstruction for time-resolved imaging by multiplexed ptychography. Optics Express. Optica Publishing Group. https://doi.org/10.1364/oe.515445
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[172]
2024 | Published | Conference Paper | IST-REx-ID: 18206
Rave, G., Fordham, D. E., Bronstein, A. M., & Silver, D. H. (2024). Enhancing predictive accuracy in embryo implantation: The Bonna algorithm and its clinical implications. In First International Conference on Artificial Intelligence in Healthcare (Vol. 14976, pp. 160–171). Swansea, United Kingdom: Springer Nature. https://doi.org/10.1007/978-3-031-67285-9_12
View | DOI
 
[171]
2023 | Published | Journal Article | IST-REx-ID: 18207 | OA
Bronstein, A. M., & Marx, A. (2023). Water stabilizes an alternate turn conformation in horse heart myoglobin. Scientific Reports. Springer Nature. https://doi.org/10.1038/s41598-023-32821-z
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[170]
2023 | Published | Journal Article | IST-REx-ID: 18208 | OA
Weiss, T., Mayo Yanes, E., Chakraborty, S., Cosmo, L., Bronstein, A. M., & Gershoni-Poranne, R. (2023). Guided diffusion for inverse molecular design. Nature Computational Science. Springer Nature. https://doi.org/10.1038/s43588-023-00532-0
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
[169]
2023 | Published | Journal Article | IST-REx-ID: 18209 | OA
Weiss, T., Wahab, A., Bronstein, A. M., & Gershoni-Poranne, R. (2023). Interpretable deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons. The Journal of Organic Chemistry. American Chemical Society. https://doi.org/10.1021/acs.joc.2c02381
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
[168]
2023 | Published | Conference Paper | IST-REx-ID: 18212
Ye, H., Vedula, S., Chen, Y., Yang, Y., Bronstein, A. M., Dreslinski, R., … Talati, N. (2023). 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 (Vol. 11, pp. 282–301). Association for Computing Machinery. https://doi.org/10.1145/3582016.3582029
View | Files available | DOI
 
[167]
2023 | Published | Journal Article | IST-REx-ID: 18213
Hermanns, J., Skitsas, K., Tsitsulin, A., Munkhoeva, M., Kyster, A., Nielsen, S., … Karras, P. (2023). GRASP: Scalable graph alignment by spectral corresponding functions. ACM Transactions on Knowledge Discovery from Data. Association for Computing Machinery. https://doi.org/10.1145/3561058
View | DOI
 
[166]
2023 | Published | Journal Article | IST-REx-ID: 18214 | OA
Chen, Y., Ye, H., Vedula, S., Bronstein, A. M., Dreslinski, R., Mudge, T., & Talati, N. (2023). Demystifying graph sparsification algorithms in graph properties preservation. Proceedings of the VLDB Endowment. Association for Computing Machinery. https://doi.org/10.14778/3632093.3632106
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[165]
2023 | Published | Conference Paper | IST-REx-ID: 18215 | OA
Gahtan, B., Cohen, R., Bronstein, A. M., & Kedar, G. (2023). Using deep reinforcement learning for mmWave real-time scheduling. In 14th International Conference on Network of the Future (pp. 71–79). Izmir, Turkiye: IEEE. https://doi.org/10.1109/nof58724.2023.10302794
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[164]
2023 | Published | Journal Article | IST-REx-ID: 18216 | OA
Rosenberg, A. A., Yehishalom, N., Marx, A., & Bronstein, A. M. (2023). 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. https://doi.org/10.1073/pnas.2301064120
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[163]
2023 | Published | Conference Paper | IST-REx-ID: 18217 | OA
Zadok, D., Salzman, O., Wolf, A., & Bronstein, A. M. (2023). Towards predicting fine finger motions from ultrasound images via kinematic representation. In 2023 IEEE International Conference on Robotics and Automation (Vol. 27). London, United Kingdom: IEEE. https://doi.org/10.1109/icra48891.2023.10160601
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[162]
2023 | Published | Conference Paper | IST-REx-ID: 18218 | OA
Nemcovsky, Y., Jacoby, M., Bronstein, A. M., & Baskin, C. (2023). Physical passive patch adversarial attacks on visual odometry systems. In 16th Asian Conference on Computer Vision (Vol. 13847, pp. 518–534). Macao, China: Springer Nature. https://doi.org/10.1007/978-3-031-26293-7_31
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[161]
2023 | Published | Journal Article | IST-REx-ID: 18219 | OA
Schwartz, E., Bronstein, A. M., & Giryes, R. (2023). ISP Distillation. IEEE Open Journal of Signal Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ojsp.2023.3239819
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
[160]
2022 | Published | Journal Article | IST-REx-ID: 18211
Nemcovsky, Y., Zheltonozhskii, E., Baskin, C., Chmiel, B., Bronstein, A. M., & Mendelson, A. (2022). Adversarial robustness via noise injection in smoothed models. Applied Intelligence. Springer Nature. https://doi.org/10.1007/s10489-022-03423-5
View | DOI
 
[159]
2022 | Published | Journal Article | IST-REx-ID: 18220 | OA
Ackerman-Schraier, L., Rosenberg, A. A., Marx, A., & Bronstein, A. M. (2022). Machine learning approaches demonstrate that protein structures carry information about their genetic coding. Scientific Reports. Springer Nature. https://doi.org/10.1038/s41598-022-25874-z
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[158]
2022 | Published | Journal Article | IST-REx-ID: 18221 | OA
Rosenberg, A. A., Marx, A., & Bronstein, A. M. (2022). Codon-specific Ramachandran plots show amino acid backbone conformation depends on identity of the translated codon. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-022-30390-9
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[157]
2022 | Published | Journal Article | IST-REx-ID: 18222 | OA
Fordham, D. E., Rosentraub, D., Polsky, A. L., Aviram, T., Wolf, Y., Perl, O., … Munné, S. (2022). Embryologist agreement when assessing blastocyst implantation probability: Is data-driven prediction the solution to embryo assessment subjectivity? Human Reproduction. Oxford University Press. https://doi.org/10.1093/humrep/deac171
[Published Version] View | DOI | Download Published Version (ext.)
 
[156]
2022 | Published | Book Chapter | IST-REx-ID: 18223
Rosenberg, A. A., Bronstein, A. M., & Marx, A. (2022). Recording Silence – Accurate Annotation of the Genetic Sequence Is Required to Better Understand How Synonymous Coding Affects Protein Structure and Disease. In Z. E. Sauna & C. Kimchi-Sarfaty (Eds.), Single Nucleotide Polymorphisms (pp. 37–47). Cham: Springer Nature. https://doi.org/10.1007/978-3-031-05616-1_3
View | DOI
 
[155]
2022 | Published | Journal Article | IST-REx-ID: 18224 | OA
Schwartz, E., Karlinsky, L., Feris, R., Giryes, R., & Bronstein, A. M. (2022). Baby steps towards few-shot learning with multiple semantics. Pattern Recognition Letters. Elsevier. https://doi.org/10.1016/j.patrec.2022.06.012
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[154]
2022 | Published | Journal Article | IST-REx-ID: 18225 | OA
Pai, G., Bronstein, A. M., Talmon, R., & Kimmel, R. (2022). Deep isometric maps. Image and Vision Computing. Elsevier. https://doi.org/10.1016/j.imavis.2022.104461
[Published Version] View | DOI | Download Published Version (ext.)
 
[153]
2022 | Published | Journal Article | IST-REx-ID: 18226 | OA
Rozenberg, E., Karnieli, A., Yesharim, O., Foley-Comer, J., Trajtenberg-Mills, S., Freedman, D., … Arie, A. (2022). Inverse design of spontaneous parametric downconversion for generation of high-dimensional qudits. Optica. Optica Publishing Group. https://doi.org/10.1364/optica.451115
[Published Version] View | DOI | Download Published Version (ext.)
 
[152]
2022 | Published | Journal Article | IST-REx-ID: 18227
Kang, P., Lin, Z., Yang, Z., Bronstein, A. M., Li, Q., & Liu, W. (2022). Deep fused two-step cross-modal hashing with multiple semantic supervision. Multimedia Tools and Applications. Springer Nature. https://doi.org/10.1007/s11042-022-12187-6
View | DOI
 
[151]
2022 | Published | Conference Paper | IST-REx-ID: 18229 | OA
Amrani, E., Karlinsky, L., & Bronstein, A. M. (2022). Self-supervised classification network. In 17th European Conference on Computer Vision (Vol. 13691, pp. 116–132). Tel Aviv, Israel: Springer Nature. https://doi.org/10.1007/978-3-031-19821-2_7
View | Files available | DOI | Download None (ext.) | arXiv
 
[150]
2022 | Published | Conference Paper | IST-REx-ID: 18230
Talati, N., Ye, H., Vedula, S., Chen, K.-Y., Chen, Y., Liu, D., … Dreslinski, R. (2022). Mint: An accelerator for mining temporal motifs. In 55th IEEE/ACM International Symposium on Microarchitecture. Chicago, IL, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/micro56248.2022.00089
View | DOI
 
[149]
2022 | Published | Conference Paper | IST-REx-ID: 18231
Zheltonozhskii, E., Baskin, C., Mendelson, A., Bronstein, A. M., & Litany, O. (2022). Contrast to divide: Self-supervised pre-training for learning with noisy labels. In IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 387–397). Waikoloa, HI, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/wacv51458.2022.00046
[Preprint] View | Files available | DOI | arXiv
 
[148]
2022 | Published | Journal Article | IST-REx-ID: 18232
Kang, P., Lin, Z., Yang, Z., Fang, X., Bronstein, A. M., Li, Q., & Liu, W. (2022). Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval. Applied Intelligence. Springer Nature. https://doi.org/10.1007/s10489-021-02308-3
View | DOI
 
[147]
2021 | Published | Journal Article | IST-REx-ID: 18233 | OA
Nahshan, Y., Chmiel, B., Baskin, C., Zheltonozhskii, E., Banner, R., Bronstein, A. M., & Mendelson, A. (2021). Loss aware post-training quantization. Machine Learning. Springer Nature. https://doi.org/10.1007/s10994-021-06053-z
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[146]
2021 | Published | Journal Article | IST-REx-ID: 18234
Baskin, C., Zheltonozhkii, E., Rozen, T., Liss, N., Chai, Y., Schwartz, E., … Mendelson, A. (2021). NICE: Noise Injection and Clamping Estimation for neural network quantization. Mathematics. MDPI. https://doi.org/10.3390/math9172144
[Published Version] View | DOI | arXiv
 
[145]
2021 | Published | Journal Article | IST-REx-ID: 18235 | OA
Doveh, S., Schwartz, E., Xue, C., Feris, R., Bronstein, A. M., Giryes, R., & Karlinsky, L. (2021). MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. Pattern Recognition Letters. Elsevier. https://doi.org/10.1016/j.patrec.2021.05.010
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[144]
2021 | Published | Journal Article | IST-REx-ID: 18236
Elul, Y., Rosenberg, A. A., Schuster, A., Bronstein, A. M., & Yaniv, Y. (2021). 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. https://doi.org/10.1073/pnas.2020620118
[Published Version] View | DOI | PubMed | Europe PMC
 
[143]
2021 | Published | Journal Article | IST-REx-ID: 18237 | OA
Baskin, C., Liss, N., Schwartz, E., Zheltonozhskii, E., Giryes, R., Bronstein, A. M., & Mendelson, A. (2021). UNIQ: Uniform Noise Injection for Non-Uniform Quantization of neural networks. ACM Transactions on Computer Systems. Association for Computing Machinery. https://doi.org/10.1145/3444943
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[142]
2021 | Published | Journal Article | IST-REx-ID: 18238 | OA
Karbachevsky, A., Baskin, C., Zheltonozhskii, E., Yermolin, Y., Gabbay, F., Bronstein, A. M., & Mendelson, A. (2021). Early-stage neural network hardware performance analysis. Sustainability. MDPI. https://doi.org/10.3390/su13020717
[Published Version] View | DOI | Download Published Version (ext.)
 
[141]
2021 | Published | Conference Paper | IST-REx-ID: 18239 | OA
Arbelle, A., Doveh, S., Alfassy, A., Shtok, J., Lev, G., Schwartz, E., … Karlinsky, L. (2021). Detector-free weakly supervised grounding by separation. In IEEE/CVF International Conference on Computer Vision (Vol. 15). Montreal, Canada: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/iccv48922.2021.00182
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[140]
2021 | Published | Conference Paper | IST-REx-ID: 18240 | OA
Dahary, O., Jacoby, M., & Bronstein, A. M. (2021). Digital gimbal: End-to-end deep image stabilization with learnable exposure times. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (Vol. 38). Nashville, TN, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/cvpr46437.2021.01176
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[139]
2021 | Published | Conference Paper | IST-REx-ID: 18241 | OA
Weiss, T., Peretz, N., Vedula, S., Feuer, A., & Bronstein, A. M. (2021). Joint optimization of system design and reconstruction in MIMO radar imaging. In 31st International Workshop on Machine Learning for Signal Processing (Vol. 4). Gold Coast, Australia: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/mlsp52302.2021.9596168
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[138]
2021 | Published | Book Chapter | IST-REx-ID: 18242 | OA
Weiss, T., Vedula, S., Senouf, O., Michailovich, O., & Bronstein, A. M. (2021). Towards learned optimal q-space sampling in diffusion MRI. In N. Gyori, J. Hutter, V. Nath, M. Palombo, M. Pizzolato, & F. Zhang (Eds.), Computational Diffusion MRI (pp. 13–28). Cham: Springer Nature. https://doi.org/10.1007/978-3-030-73018-5_2
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[137]
2021 | Published | Conference Paper | IST-REx-ID: 18244 | OA
Livne, A., Aviv, Z., Grofit, S., Bronstein, A. M., & Kimmel, R. (2021). Do we need depth in state-uf-the-art face authentication? In 2020 International Conference on 3D Vision (3DV). Fukuoka, Japan: IEEE. https://doi.org/10.1109/3dv50981.2020.00099
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[136]
2020 | Published | Journal Article | IST-REx-ID: 18228 | OA
Sommer, S., & Bronstein, A. M. (2020). Horizontal flows and manifold stochastics in geometric deep learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tpami.2020.2994507
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[135]
2020 | Published | Journal Article | IST-REx-ID: 18245
Zabatani, A., Surazhsky, V., Sperling, E., Moshe, S. B., Menashe, O., Silver, D. H., … Kimmel, R. (2020). Intel® RealSenseTM SR300 coded light depth camera. IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tpami.2019.2915841
View | DOI | PubMed | Europe PMC
 
[134]
2020 | Published | Journal Article | IST-REx-ID: 18246
Mariani, G., Cosmo, L., Bronstein, A. M., & Rodolà, E. (2020). Generating adversarial surfaces via band‐limited perturbations. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.14083
View | DOI
 
[133]
2020 | Published | Journal Article | IST-REx-ID: 18250 | OA
Choukroun, Y., Shtern, A., Bronstein, A. M., & Kimmel, R. (2020). Hamiltonian operator for spectral shape analysis. IEEE Transactions on Visualization and Computer Graphics. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tvcg.2018.2867513
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[132]
2020 | Published | Journal Article | IST-REx-ID: 18252
Rotker, K., Bashat, D. B., & Bronstein, A. M. (2020). Overparameterized models for vector fields. SIAM Journal on Imaging Sciences. Society for Industrial & Applied Mathematics. https://doi.org/10.1137/19m1280697
View | DOI
 
[131]
2020 | Published | Journal Article | IST-REx-ID: 18253 | OA
Arbel, M., Bronstein, A. M., Sau, S., Liefshitz, B., & Kupiec, M. (2020). Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae. MBio. American Society for Microbiology. https://doi.org/10.1128/mbio.00705-20
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[130]
2020 | Published | Conference Paper | IST-REx-ID: 18259 | OA
Alfassy, A., Karlinsky, L., Aides, A., Shtok, J., Harary, S., Feris, R., … Bronstein, A. M. (2020). Laso: Label-set operations networks for multi-label few-shot learning. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach, CA, United States: IEEE. https://doi.org/10.1109/cvpr.2019.00671
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[129]
2020 | Published | Conference Paper | IST-REx-ID: 18255 | OA
Amrani, E., Ben-Ari, R., Hakim, T., & Bronstein, A. M. (2020). Learning to detect and retrieve objects from unlabeled videos. In 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). Seoul, Korea (South): IEEE. https://doi.org/10.1109/iccvw.2019.00567
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[128]
2020 | Published | Conference Paper | IST-REx-ID: 18258
Karlinsky, L., Shtok, J., Harary, S., Schwartz, E., Aides, A., Feris, R., … Bronstein, A. M. (2020). Repmet: Representative-based metric learning for classification and few-shot object detection. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach, CA, United States: IEEE. https://doi.org/10.1109/cvpr.2019.00534
View | DOI
 
[127]
2020 | Published | Conference Paper | IST-REx-ID: 18260
Halimi, O., Litany, O., Rodola, E. R., Bronstein, A. M., & Kimmel, R. (2020). Unsupervised learning of dense shape correspondence. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach, CA, United States: IEEE. https://doi.org/10.1109/cvpr.2019.00450
View | DOI
 
[126]
2020 | Published | Conference Paper | IST-REx-ID: 18249 | OA
Weiss, T., Vedula, S., Senouf, O., Michailovich, O., Zibulevsky, M., & Bronstein, A. M. (2020). Joint learning of cartesian undersampling and reconstruction for accelerated MRI. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Barcelona, Spain: IEEE. https://doi.org/10.1109/icassp40776.2020.9054542
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[125]
2020 | Published | Conference Paper | IST-REx-ID: 18247 | OA
Chmiel, B., Baskin, C., Zheltonozhskii, E., Banner, R., Yermolin, Y., Karbachevsky, A., … Mendelson, A. (2020). Feature map transform coding for energy-efficient CNN inference. In 2020 International Joint Conference on Neural Networks (IJCNN). Glasgow, United Kingdom: IEEE. https://doi.org/10.1109/ijcnn48605.2020.9206968
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[124]
2020 | Published | Conference Paper | IST-REx-ID: 18248
Amrani, E., Ben-Ari, R., Shapira, I., Hakim, T., & Bronstein, A. M. (2020). Self-supervised object detection and retrieval using unlabeled videos. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Seattle, WA, United States: IEEE. https://doi.org/10.1109/cvprw50498.2020.00485
View | DOI
 
[123]
2019 | Published | Journal Article | IST-REx-ID: 18263 | OA
Rodolà, E., Lähner, Z., Bronstein, A. M., Bronstein, M. M., & Solomon, J. (2019). Functional maps representation on product manifolds. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.13598
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[122]
2019 | Published | Journal Article | IST-REx-ID: 18264 | OA
Schwartz, E., Giryes, R., & Bronstein, A. M. (2019). DeepISP: Toward learning an end-to-end image processing pipeline. IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tip.2018.2872858
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[121]
2019 | Published | Conference Paper | IST-REx-ID: 18257 | OA
Rampini, A., Tallini, I., Ovsjanikov, M., Bronstein, A. M., & Rodola, E. (2019). Correspondence-free region localization for partial shape similarity via Hamiltonian spectrum alignment. In 2019 International Conference on 3D Vision (3DV). Quebec City, QC, Canada: IEEE. https://doi.org/10.1109/3dv.2019.00014
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[120]
2019 | Published | Conference Paper | IST-REx-ID: 18256 | OA
Diamant, N., Zadok, D., Baskin, C., Schwartz, E., & Bronstein, A. M. (2019). Beholder-Gan: Generation and beautification of facial images with conditioning on their beauty level. In 2019 IEEE International Conference on Image Processing (ICIP). Taipei, Taiwan: IEEE. https://doi.org/10.1109/icip.2019.8803807
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[119]
2019 | Published | Conference Paper | IST-REx-ID: 18262 | OA
Pai, G., Talmon, R., Bronstein, A. M., & Kimmel, R. (2019). DIMAL: Deep isometric manifold learning using sparse geodesic sampling. In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). Waikoloa, HI, United States: IEEE. https://doi.org/10.1109/wacv.2019.00092
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[118]
2018 | Published | Journal Article | IST-REx-ID: 18271 | OA
Remez, T., Litany, O., Giryes, R., & Bronstein, A. M. (2018). Class-aware fully convolutional Gaussian and Poisson denoising. IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tip.2018.2859044
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[117]
2018 | Published | Conference Paper | IST-REx-ID: 18273 | OA
Baskin, C., Liss, N., Zheltonozhskii, E., Bronstein, A. M., & Mendelson, A. (2018). 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). Vancouver, BC, Canada: IEEE. https://doi.org/10.1109/ipdpsw.2018.00032
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[116]
2018 | Published | Conference Paper | IST-REx-ID: 18276 | OA
Vestner, M., Lahner, Z., Boyarski, A., Litany, O., Slossberg, R., Remez, T., … Cremers, D. (2018). Efficient deformable shape correspondence via kernel matching. In 2017 International Conference on 3D Vision (3DV) (pp. 517–526). Qingdao, China: IEEE. https://doi.org/10.1109/3dv.2017.00065
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[115]
2018 | Published | Conference Paper | IST-REx-ID: 18402
Remez, T., Litany, O., Giryes, R., & Bronstein, A. M. (2018). Deep class-aware image denoising. In 2017 IEEE International Conference on Image Processing (ICIP) (pp. 1895–1899). Beijing, China: IEEE. https://doi.org/10.1109/icip.2017.8296611
View | DOI
 
[114]
2018 | Published | Conference Paper | IST-REx-ID: 18270 | OA
Litany, O., Bronstein, A. M., Bronstein, M., & Makadia, A. (2018). Deformable shape completion with graph convolutional autoencoders. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, UT, United States: IEEE. https://doi.org/10.1109/cvpr.2018.00202
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[113]
2018 | Published | Conference Paper | IST-REx-ID: 18272
Giryes, R., Eldar, Y. C., Bronstein, A. M., & Sapiro, G. (2018). The learned inexact project gradient descent algorithm. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Calgary, AB, Canada: IEEE. https://doi.org/10.1109/icassp.2018.8462136
View | DOI
 
[112]
2018 | Published | Journal Article | IST-REx-ID: 18278 | OA
Giryes, R., Eldar, Y. C., Bronstein, A. M., & Sapiro, G. (2018). Tradeoffs between convergence speed and reconstruction accuracy in inverse problems. IEEE Transactions on Signal Processing. IEEE. https://doi.org/10.1109/tsp.2018.2791945
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[111]
2018 | Published | Journal Article | IST-REx-ID: 18275 | OA
Bronstein, A. M., Gershon, L., Grinberg, G., Alonso-Perez, E., & Kupiec, M. (2018). 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. https://doi.org/10.1128/mbio.01192-18
[Published Version] View | DOI | Download Published Version (ext.)
 
[110]
2018 | Published | Journal Article | IST-REx-ID: 18277 | OA
Bronstein, A. M., Bramson, S., Shemesh, K., Liefshitz, B., & Kupiec, M. (2018). Tight regulation of Srs2 helicase activity is crucial for proper functioning of DNA Repair mechanisms. G3: Genes, Genomes, Genetics . Oxford University Press (OUP). https://doi.org/10.1534/g3.118.200181
[Published Version] View | DOI | Download Published Version (ext.)
 
[109]
2017 | Published | Conference Paper | IST-REx-ID: 18403
Chen, J., Chang, Z., Qiu, Q., Li, X., Sapiro, G., Bronstein, A. M., & Pietikainen, M. (2017). RealSense = real heart rate: Illumination invariant heart rate estimation from videos. In 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA). Oulu, Finland: IEEE. https://doi.org/10.1109/ipta.2016.7820970
View | DOI
 
[108]
2017 | Published | Conference Paper | IST-REx-ID: 18288
Remez, T., Litany, O., Giryes, R., & Bronstein, A. M. (2017). Deep class-aware image denoising. In 2017 International Conference on Sampling Theory and Applications (SampTA). Tallinn, Estonia: IEEE. https://doi.org/10.1109/sampta.2017.8024474
View | DOI
 
[107]
2017 | Published | Conference Paper | IST-REx-ID: 18287 | OA
Vestner, M., Litman, R., Rodola, E., Bronstein, A. M., & Cremers, D. (2017). 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) (pp. 6681–6690). Honolulu, HI, United States: IEEE. https://doi.org/10.1109/cvpr.2017.707
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[106]
2017 | Published | Journal Article | IST-REx-ID: 18366 | OA
Litany, O., Remez, T., Freedman, D., Shapira, L., Bronstein, A. M., & Gal, R. (2017). ASIST: Automatic semantically invariant scene transformation. Computer Vision and Image Understanding. Elsevier. https://doi.org/10.1016/j.cviu.2016.08.002
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[105]
2017 | Published | Journal Article | IST-REx-ID: 18372 | OA
Shemesh, K., Sebesta, M., Pacesa, M., Sau, S., Bronstein, A. M., Parnas, O., … Kupiec, M. (2017). 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). https://doi.org/10.1093/nar/gkw1348
[Published Version] View | DOI | Download Published Version (ext.)
 
[104]
2017 | Published | Journal Article | IST-REx-ID: 18427
Litany, O., Rodolà, E., Bronstein, A. M., & Bronstein, M. M. (2017). Fully spectral partial shape matching. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.13123
View | DOI
 
[103]
2016 | Published | Book Chapter | IST-REx-ID: 18328
Pokrass, J., Bronstein, A. M., Bronstein, M. M., Sprechmann, P., & Sapiro, G. (2016). Sparse Models for Intrinsic Shape Correspondence. In M. Breuß, A. Bruckstein, P. Maragos, & S. Wuhrer (Eds.), Perspectives in Shape Analysis (1st ed., pp. 211–230). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-24726-7_10
View | DOI
 
[102]
2016 | Published | Conference Paper | IST-REx-ID: 18388 | OA
Remez, T., Litany, O., & Bronstein, A. M. (2016). 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). Evanston, IL, United States: IEEE. https://doi.org/10.1109/iccphot.2016.7492874
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[101]
2016 | Published | Conference Paper | IST-REx-ID: 18374 | OA
Bronstein, A. M., Choukroun, Y., Kimmel, R., & Sela, M. (2016). Consistent discretization and minimization of the L1 norm on manifolds. In 2016 Fourth International Conference on 3D Vision (3DV). Stanford, CA, United States: IEEE. https://doi.org/10.1109/3dv.2016.53
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[100]
2016 | Published | Conference Paper | IST-REx-ID: 18375 | OA
Litman, R., & Bronstein, A. M. (2016). SpectroMeter: Amortized sublinear spectral approximation of distance on graphs. In 2016 Fourth International Conference on 3D Vision (3DV). Stanford, CA, United States: IEEE. https://doi.org/10.1109/3dv.2016.60
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[99]
2016 | Published | Journal Article | IST-REx-ID: 18419 | OA
Giryes, R., Sapiro, G., & Bronstein, A. M. (2016). Deep neural networks with random Gaussian weights: A universal classification strategy? IEEE Transactions on Signal Processing. IEEE. https://doi.org/10.1109/tsp.2016.2546221
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[98]
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.)
 
[97]
2016 | Published | Journal Article | IST-REx-ID: 18426 | OA
Litany, O., Rodolà, E., Bronstein, A. M., Bronstein, M. M., & Cremers, D. (2016). Non‐rigid puzzles. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.12970
[Preprint] View | DOI | Download Preprint (ext.)
 
[96]
2016 | Published | Journal Article | IST-REx-ID: 18430
Bian, X., Krim, H., Bronstein, A. M., & Dai, L. (2016). Sparsity and nullity: Paradigms for analysis dictionary learning. SIAM Journal on Imaging Sciences. Society for Industrial & Applied Mathematics. https://doi.org/10.1137/15m1030376
View | DOI
 
[95]
2015 | Published | Book Chapter | IST-REx-ID: 18326
Bronstein, A. M., & Bronstein, M. M. (2015). Manifold Intrinsic Similarity. In O. Scherzer (Ed.), Handbook of Mathematical Methods in Imaging (2nd ed., pp. 1859–1908). New York: Springer Nature. https://doi.org/10.1007/978-1-4939-0790-8_57
View | DOI
 
[94]
2015 | Published | Book Chapter | IST-REx-ID: 18327
Sprechmann, P., Bronstein, A. M., & Sapiro, G. (2015). Supervised non-negative matrix factorization for audio source separation. In Excursions in Harmonic Analysis, Volumne 4 (1st ed., pp. 407–420). Cham: Springer Nature. https://doi.org/10.1007/978-3-319-20188-7_16
View | DOI
 
[93]
2015 | Published | Journal Article | IST-REx-ID: 18371
Aflalo, Y., Bronstein, A. M., & Kimmel, R. (2015). On convex relaxation of graph isomorphism. Proceedings of the National Academy of Sciences. National Academy of Sciences. https://doi.org/10.1073/pnas.1401651112
View | DOI | PubMed | Europe PMC
 
[92]
2015 | Published | Conference Paper | IST-REx-ID: 18387
Bian, X., Krim, H., Bronstein, A. M., & Dai, L. (2015). 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). South Brisbane, QLD, Australia: IEEE. https://doi.org/10.1109/icassp.2015.7178678
View | DOI
 
[91]
2015 | Published | Conference Paper | IST-REx-ID: 18380
Litman, R., Korman, S., Bronstein, A. M., & Avidan, S. (2015). Inverting RANSAC: Global model detection via inlier rate estimation. In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Boston, MA, United States: IEEE. https://doi.org/10.1109/cvpr.2015.7299161
View | DOI
 
[90]
2015 | Published | Conference Paper | IST-REx-ID: 18400
Menashe, O., & Bronstein, A. M. (2015). Real-time compressed imaging of scattering volumes. In 2014 IEEE International Conference on Image Processing (ICIP). Paris, France: IEEE. https://doi.org/10.1109/icip.2014.7025264
View | DOI
 
[89]
2015 | Published | Conference Paper | IST-REx-ID: 18401
Draelos, M., Qiu, Q., Bronstein, A. M., & Sapiro, G. (2015). Intel realsense = Real low cost gaze. In 2015 IEEE International Conference on Image Processing (ICIP). Quebec City, QC, Canada: IEEE. https://doi.org/10.1109/icip.2015.7351256
View | DOI
 
[88]
2015 | Published | Journal Article | IST-REx-ID: 18416
Eynard, D., Kovnatsky, A., Bronstein, M. M., Glashoff, K., & Bronstein, A. M. (2015). Multimodal manifold snalysis by simultaneous diagonalization of Laplacians. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE. https://doi.org/10.1109/tpami.2015.2408348
View | DOI | PubMed | Europe PMC
 
[87]
2015 | Published | Journal Article | IST-REx-ID: 18415 | OA
Sprechmann, P., Bronstein, A. M., & Sapiro, G. (2015). Learning efficient sparse and low rank models. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE. https://doi.org/10.1109/tpami.2015.2392779
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[86]
2015 | Published | Journal Article | IST-REx-ID: 18365 | OA
Simpson-Lavy, K. J., Bronstein, A. M., Kupiec, M., & Johnston, M. (2015). Cross-talk between carbon cetabolism and the DNA camage response in S. cerevisiae. Cell Reports. Elsevier. https://doi.org/10.1016/j.celrep.2015.08.025
[Published Version] View | DOI | Download Published Version (ext.)
 
[85]
2015 | Published | Journal Article | IST-REx-ID: 18424 | OA
Korman, S., Litman, R., Avidan, S., & Bronstein, A. M. (2015). Probably approximately symmetric: Fast rigid symmetry detection with global guarantees. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.12454
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[84]
2015 | Published | Journal Article | IST-REx-ID: 18436 | OA
Haim, H., Bronstein, A. M., & Marom, E. (2015). Computational multi-focus imaging combining sparse model with color dependent phase mask. Optics Express. Optica Publishing Group. https://doi.org/10.1364/oe.23.024547
[Published Version] View | DOI | Download Published Version (ext.)
 
[83]
2015 | Published | Conference Paper | IST-REx-ID: 18439 | OA
Qiu, Q., Chang, Z., Draelos, M., Chen, J., Bronstein, A. M., & Sapiro, G. (2015). Low-cost gaze and pulse analysis using realsense. In Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare. London, United Kingdom: ICST. https://doi.org/10.4108/eai.14-10-2015.2261657
[Published Version] View | DOI | Download Published Version (ext.)
 
[82]
2015 | Published | Journal Article | IST-REx-ID: 18425
Biasotti, S., Cerri, A., Bronstein, A. M., & Bronstein, M. (2015). Recent trends, applications, and perspectives in 3D shape similarity assessment. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.12734
View | DOI
 
[81]
2014 | Published | Journal Article | IST-REx-ID: 18353
Raviv, D., Bronstein, A. M., Bronstein, M. M., Waisman, D., Sochen, N., & Kimmel, R. (2014). Equi-affine invariant geometry for shape analysis. Journal of Mathematical Imaging and Vision. Springer Nature. https://doi.org/10.1007/s10851-013-0467-y
View | DOI
 
[80]
2014 | Published | Conference Paper | IST-REx-ID: 18384
Sprechmann, P., Bronstein, A. M., & Sapiro, G. (2014). 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). Villers-les-Nancy, France: IEEE. https://doi.org/10.1109/hscma.2014.6843241
View | DOI
 
[79]
2014 | Published | Journal Article | IST-REx-ID: 18413
Litman, R., & Bronstein, A. M. (2014). Learning spectral descriptors for deformable shape correspondence. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE. https://doi.org/10.1109/tpami.2013.148
View | DOI | PubMed | Europe PMC
 
[78]
2014 | Published | Journal Article | IST-REx-ID: 18414 | OA
Masci, J., Bronstein, M. M., Bronstein, A. M., & Schmidhuber, J. (2014). Multimodal similarity-preserving hashing. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE. https://doi.org/10.1109/tpami.2013.225
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[77]
2014 | Published | Journal Article | IST-REx-ID: 18423
Litman, R., Bronstein, A. M., Bronstein, M., & Castellani, U. (2014). Supervised learning of bag‐of‐features shape descriptors using sparse coding. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.12438
View | DOI
 
[76]
2013 | Published | Conference Paper | IST-REx-ID: 18395
Saabni, R., & Bronstein, A. M. (2013). Fast key-word searching using “BoostMap” based embedding. In 2012 International Conference on Frontiers in Handwriting Recognition. Bari, Italy: IEEE. https://doi.org/10.1109/icfhr.2012.204
View | DOI
 
[75]
2013 | Published | Conference Paper | IST-REx-ID: 18386
Sprechmann, P., Bronstein, A. M., Morel, J.-M., & Sapiro, G. (2013). Audio restoration from multiple copies. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. Vancouver, BC, Canada: IEEE. https://doi.org/10.1109/icassp.2013.6637774
View | DOI
 
[74]
2013 | Published | Conference Paper | IST-REx-ID: 18385
Sprechmann, P., Bronstein, A. M., Bronstein, M., & Sapiro, G. (2013). Learnable low rank sparse models for speech denoising. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. Vancouver, BC, Canada: IEEE. https://doi.org/10.1109/icassp.2013.6637624
View | DOI
 
[73]
2013 | Published | Journal Article | IST-REx-ID: 18437 | OA
Gazy, I., Liefshitz, B., Bronstein, A. M., Parnas, O., Atias, N., Sharan, R., & Kupiec, M. (2013). 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. https://doi.org/10.1534/g3.113.005561
[Published Version] View | DOI | Download Published Version (ext.)
 
[72]
2013 | Published | Journal Article | IST-REx-ID: 18422 | OA
Pokrass, J., Bronstein, A. M., Bronstein, M. M., Sprechmann, P., & Sapiro, G. (2013). Sparse modeling of intrinsic correspondences. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.12066
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[71]
2013 | Published | Journal Article | IST-REx-ID: 18421 | OA
Kovnatsky, A., Bronstein, M. M., Bronstein, A. M., Glashoff, K., & Kimmel, R. (2013). Coupled quasi‐harmonic bases. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.12064
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[70]
2013 | Published | Journal Article | IST-REx-ID: 18441
Bronstein, A. M., Pokrass, J., & Bronstein, M. M. (2013). Partial shape matching without point-wise correspondence. Numerical Mathematics: Theory, Methods and Applications. Global Science Press. https://doi.org/10.4208/nmtma.2013.mssvm12
View | DOI
 
[69]
2013 | Published | Journal Article | IST-REx-ID: 18440
Bronstein, A. M., Kovnatsky, A., Raviv, D., Bronstein, M. M., & Kimmel, R. (2013). Geometric and photometric data fusion in non-rigid shape analysis. Numerical Mathematics: Theory, Methods and Applications. Global Science Press. https://doi.org/10.4208/nmtma.2013.mssvm11
View | DOI
 
[68]
2012 | Published | Book Chapter | IST-REx-ID: 18325
Bronstein, A. M., Bronstein, M. M., & Ovsjanikov, M. (2012). Feature-Based Methods in 3D Shape Analysis. In N. Pears, Y. Liu, & P. Bunting (Eds.), 3D Imaging, Analysis and Applications (pp. 185–219). London: Springer Nature. https://doi.org/10.1007/978-1-4471-4063-4_5
View | DOI
 
[67]
2012 | Published | Journal Article | IST-REx-ID: 18364
Litman, R., Bronstein, A. M., & Bronstein, M. M. (2012). Stable volumetric features in deformable shapes. Computers & Graphics. Elsevier. https://doi.org/10.1016/j.cag.2012.03.034
View | DOI
 
[66]
2012 | Published | Journal Article | IST-REx-ID: 18412
Strecha, C., Bronstein, A. M., Bronstein, M. M., & Fua, P. (2012). LDAHash: Improved matching with smaller descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tpami.2011.103
View | DOI | PubMed | Europe PMC
 
[65]
2012 | Published | Conference Paper | IST-REx-ID: 18344
Hooda, A., Bronstein, M. M., Bronstein, A. M., & Horaud, R. P. (2012). Shape palindromes: Analysis of intrinsic symmetries in 2D articulated shapes. In Scale Space and Variational Methods in Computer Vision (Vol. 6667, pp. 665–676). Ein-Gedi, Israel: Springer Nature. https://doi.org/10.1007/978-3-642-24785-9_56
View | DOI
 
[64]
2012 | Published | Conference Paper | IST-REx-ID: 18378
Kokkinos, I., Bronstein, M. M., Litman, R., & Bronstein, A. M. (2012). Intrinsic shape context descriptors for deformable shapes. In 2012 IEEE Conference on Computer Vision and Pattern Recognition. Providence, RI, United States: IEEE. https://doi.org/10.1109/cvpr.2012.6247671
View | DOI
 
[63]
2012 | Published | Conference Paper | IST-REx-ID: 18379
Rodola, E., Bronstein, A. M., Albarelli, A., Bergamasco, F., & Torsello, A. (2012). A game-theoretic approach to deformable shape matching. In 2012 IEEE Conference on Computer Vision and Pattern Recognition. Providence, RI, United States: IEEE. https://doi.org/10.1109/cvpr.2012.6247674
View | DOI
 
[62]
2011 | Published | Journal Article | IST-REx-ID: 18362 | OA
Litman, R., Bronstein, A. M., & Bronstein, M. M. (2011). Diffusion-geometric maximally stable component detection in deformable shapes. Computers & Graphics. Elsevier. https://doi.org/10.1016/j.cag.2011.03.011
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[61]
2011 | Published | Journal Article | IST-REx-ID: 18363 | OA
Raviv, D., Bronstein, A. M., Bronstein, M. M., Kimmel, R., & Sochen, N. (2011). Affine-invariant geodesic geometry of deformable 3D shapes. Computers & Graphics. Elsevier. https://doi.org/10.1016/j.cag.2011.03.030
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[60]
2011 | Published | Journal Article | IST-REx-ID: 18411
Bronstein, M. M., & Bronstein, A. M. (2011). Shape recognition with spectral distances. IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tpami.2010.210
View | DOI | PubMed | Europe PMC
 
[59]
2011 | Published | Conference Paper | IST-REx-ID: 18394
Saabni, R., & Bronstein, A. M. (2011). Fast key-word searching via embedding and active-DTW. In 2011 International Conference on Document Analysis and Recognition. Beijing, China: IEEE. https://doi.org/10.1109/icdar.2011.23
View | DOI
 
[58]
2011 | Published | Conference Paper | IST-REx-ID: 18406
Michel, F., Bronstein, M., Bronstein, A. M., & Paragios, N. (2011). Boosted metric learning for 3D multi-modal deformable registration. In 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Chicago, IL, United States: IEEE. https://doi.org/10.1109/isbi.2011.5872619
View | DOI
 
[57]
2011 | Published | Conference Paper | IST-REx-ID: 18377 | OA
Raviv, D., Bronstein, M. M., Bronstein, A. M., Kimmel, R., & Sochen, N. (2011). Affine-invariant diffusion geometry for the analysis of deformable 3D shapes. In CVPR 2011. Colorado Springs, CO, United States: IEEE. https://doi.org/10.1109/cvpr.2011.5995486
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[56]
2011 | Published | Journal Article | IST-REx-ID: 18433
Bronstein, A. M., Bronstein, M. M., Guibas, L. J., & Ovsjanikov, M. (2011). Shape google: Geometric words and expressions for invariant shape retrieval. ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/1899404.1899405
View | DOI
 
[55]
2010 | Published | Conference Paper | IST-REx-ID: 18339
Mitra, N. J., Bronstein, A. M., & Bronstein, M. (2010). Intrinsic regularity detection in 3D geometry. In 11th European Conference on Computer Vision (Vol. 6313, pp. 398–410). Heraklion, Greece: Springer Nature. https://doi.org/10.1007/978-3-642-15558-1_29
View | DOI
 
[54]
2010 | Published | Journal Article | IST-REx-ID: 18358
Bronstein, A. M., Bronstein, M. M., Kimmel, R., Mahmoudi, M., & Sapiro, G. (2010). A Gromov-Hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-009-0301-6
View | DOI
 
[53]
2010 | Published | Journal Article | IST-REx-ID: 18359
Raviv, D., Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2010). Full and partial symmetries of non-rigid shapes. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-010-0320-3
View | DOI
 
[52]
2010 | Published | Journal Article | IST-REx-ID: 18360 | OA
Rosman, G., Bronstein, M. M., Bronstein, A. M., & Kimmel, R. (2010). Nonlinear dimensionality reduction by topologically constrained isometric embedding. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-010-0322-1
[Published Version] View | DOI | Download Published Version (ext.)
 
[51]
2010 | Published | Conference Paper | IST-REx-ID: 18376
Bronstein, M. M., Bronstein, A. M., Michel, F., & Paragios, N. (2010). Data fusion through cross-modality metric learning using similarity-sensitive hashing. In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 3594–3601). San Francisco, CA, USA: IEEE. https://doi.org/10.1109/cvpr.2010.5539928
View | DOI
 
[50]
2010 | Published | Conference Paper | IST-REx-ID: 18338
Bronstein, A. M., & Bronstein, M. M. (2010). Spatially-sensitive affine-invariant image descriptors. In 11th European Conference on Computer Vision (Vol. 6312, pp. 197–208). Heraklion, Greece: Springer Nature. https://doi.org/10.1007/978-3-642-15552-9_15
View | DOI
 
[49]
2010 | Published | Conference Paper | IST-REx-ID: 18432
Raviv, D., Bronstein, M. M., Bronstein, A. M., & Kimmel, R. (2010). Volumetric heat kernel signatures. In Proceedings of the ACM workshop on 3D object retrieval (pp. 39–44). Firenze, Italy: ACM. https://doi.org/10.1145/1877808.1877817
View | DOI
 
[48]
2009 | Published | Journal Article | IST-REx-ID: 18356
Bronstein, A. M., Bronstein, M. M., Bruckstein, A. M., & Kimmel, R. (2009). Partial similarity of objects, or how to compare a centaur to a horse. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-008-0147-3
View | DOI
 
[47]
2009 | Published | Journal Article | IST-REx-ID: 18357
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2009). Topology-invariant similarity of nonrigid shapes. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-008-0172-2
View | DOI
 
[46]
2009 | Published | Conference Paper | IST-REx-ID: 18391
Rubinstein, O., Honen, Y., Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2009). 3D-color video camera. In 12th International Conference on Computer Vision Workshops. Kyoto, Japan: IEEE. https://doi.org/10.1109/iccvw.2009.5457433
View | DOI
 
[45]
2009 | Published | Conference Paper | IST-REx-ID: 18392
Ovsjanikov, M., Bronstein, A. M., Bronstein, M. M., & Guibas, L. J. (2009). Shape Google: A computer vision approach to isometry invariant shape retrieval. In 12th International Conference on Computer Vision Workshops. Kyoto, Japan: IEEE. https://doi.org/10.1109/iccvw.2009.5457682
View | DOI
 
[44]
2009 | Published | Conference Paper | IST-REx-ID: 18393
Devir, Y. S., Rosman, G., Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2009). On reconstruction of non-rigid shapes with intrinsic regularization. In 12th International Conference on Computer Vision Workshops. Kyoto, Japan: IEEE. https://doi.org/10.1109/iccvw.2009.5457688
View | DOI
 
[43]
2009 | Published | Journal Article | IST-REx-ID: 18438 | OA
Bronstein, A. M., Bronstein, M. M., Carmon, Y., & Kimmel, R. (2009). Partial similarity of shapes using a statistical significance measure. IPSJ Transactions on Computer Vision and Applications. Information Processing Society of Japan. https://doi.org/10.2197/ipsjtcva.1.105
[Published Version] View | DOI | Download Published Version (ext.)
 
[42]
2008 | Published | Conference Paper | IST-REx-ID: 18337
Bronstein, A. M., & Bronstein, M. M. (2008). Regularized partial matching of rigid shapes. In 10th European Conference on Computer Vision (Vol. 5303, pp. 143–154). Marseille, France: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-88688-4_11
View | DOI
 
[41]
2008 | Published | Journal Article | IST-REx-ID: 18355
Bronstein, A. M., Bronstein, M. M., Bruckstein, A. M., & Kimmel, R. (2008). Analysis of two-dimensional non-rigid shapes. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-007-0078-4
View | DOI
 
[40]
2008 | Published | Conference Paper | IST-REx-ID: 18381
Bronstein, A. M., & Bronstein, M. M. (2008). Not only size matters: Regularized partial matching of nonrigid shapes. In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. Anchorage, AK, United States: IEEE. https://doi.org/10.1109/cvprw.2008.4563077
View | DOI
 
[39]
2008 | Published | Journal Article | IST-REx-ID: 18431
Weber, O., Devir, Y. S., Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2008). Parallel algorithms for approximation of distance maps on parametric surfaces. ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/1409625.1409626
View | DOI
 
[38]
2007 | Published | Conference Paper | IST-REx-ID: 18336
Bronstein, A. M., Bronstein, M. M., Bruckstein, A. M., & Kimmel, R. (2007). Paretian similarity for partial comparison of non-rigid objects. In First International Conference on Scale Space and Variational Methods in Computer Vision (Vol. 4485, pp. 264–275). Ischia, Italy: Springer Nature. https://doi.org/10.1007/978-3-540-72823-8_23
View | DOI
 
[37]
2007 | Published | Journal Article | IST-REx-ID: 18367
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2007). Weighted distance maps computation on parametric three-dimensional manifolds. Journal of Computational Physics. Elsevier. https://doi.org/10.1016/j.jcp.2007.01.009
View | DOI
 
[36]
2007 | Published | Conference Paper | IST-REx-ID: 18389
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2007). Rock, paper, and scissors: Extrinsic vs. intrinsic similarity of non-rigid shapes. In 11th International Conference on Computer Vision. Rio de Janeiro, Brazil: IEEE. https://doi.org/10.1109/iccv.2007.4409076
View | DOI
 
[35]
2007 | Published | Conference Paper | IST-REx-ID: 18390
Raviv, D., Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2007). Symmetries of non-rigid shapes. In 11th International Conference on Computer Vision (Vol. 72). Rio de Janeiro, Brazil: IEEE. https://doi.org/10.1109/iccv.2007.4409181
View | DOI
 
[34]
2007 | Published | Journal Article | IST-REx-ID: 18420
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2007). Calculus of nonrigid surfaces for geometry and texture manipulation. IEEE Transactions on Visualization and Computer Graphics. IEEE. https://doi.org/10.1109/tvcg.2007.1041
View | DOI
 
[33]
2006 | Published | Journal Article | IST-REx-ID: 18318
Bronstein, M. M., Bronstein, A. M., Kimmel, R., & Yavneh, I. (2006). Multigrid multidimensional scaling. Numerical Linear Algebra with Applications. Wiley. https://doi.org/10.1002/nla.475
View | DOI
 
[32]
2006 | Published | Conference Paper | IST-REx-ID: 18320
Bronstein, A. M., Bronstein, M. M., & Zibulevsky, M. (2006). On separation of semitransparent dynamic images from static background. In 6th International Conference on Independent Component Analysis and Signal Separation (Vol. 3889, pp. 934–940). Charleston, SC, United States: Springer Nature. https://doi.org/10.1007/11679363_116
View | DOI
 
[31]
2006 | Published | Conference Paper | IST-REx-ID: 18321
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2006). Robust expression-invariant face recognition from partially missing data. In 9th European Conference on Computer Vision (Vol. 3953). Graz, Austria: Springer Nature. https://doi.org/10.1007/11744078_31
View | DOI
 
[30]
2006 | Published | Conference Paper | IST-REx-ID: 18322
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2006). Facetoface: An isometric model for facial animation. In 4th International Conference on Articulated Motion and Deformable Objects (Vol. 4069, pp. 38–47). Mallorca, Spain: Springer Nature. https://doi.org/10.1007/11789239_5
View | DOI
 
[29]
2006 | Published | Conference Paper | IST-REx-ID: 18323
Bronstein, A. M., Bronstein, M. M., Bruckstein, A. M., & Kimmel, R. (2006). Matching two-dimensional articulated shapes using generalized multidimensional scaling. In 4th International Conference on Articulated Motion and Deformable Objects (Vol. 4069, pp. 48–57). Mallorca, Spain: Springer Nature. https://doi.org/10.1007/11789239_6
View | DOI
 
[28]
2006 | Published | Journal Article | IST-REx-ID: 18370
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2006). Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.0508601103
View | DOI | PubMed | Europe PMC
 
[27]
2006 | Published | Journal Article | IST-REx-ID: 18408
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2006). Expression-invariant representations of faces. IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tip.2006.884940
View | DOI | PubMed | Europe PMC
 
[26]
2006 | Published | Journal Article | IST-REx-ID: 18429
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2006). Efficient computation of isometry-invariant distances between surfaces. SIAM Journal on Scientific Computing. Society for Industrial & Applied Mathematics. https://doi.org/10.1137/050639296
View | DOI
 
[25]
2005 | Published | Journal Article | IST-REx-ID: 18317
Bronstein, A. M., Bronstein, M. M., Zibulevsky, M., & Zeevi, Y. Y. (2005). Sparse ICA for blind separation of transmitted and reflected images. International Journal of Imaging Systems and Technology. Wiley. https://doi.org/10.1002/ima.20042
View | DOI
 
[24]
2005 | Published | Conference Paper | IST-REx-ID: 18319
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2005). Isometric embedding of facial surfaces into S3. In 5th International Conference on Scale-Space Theories in Computer Vision (Vol. 3459, pp. 622–631). Hofgeismar, Germany: Springer Berlin Heidelberg. https://doi.org/10.1007/11408031_53
View | DOI
 
[23]
2005 | Published | Journal Article | IST-REx-ID: 18354
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2005). Three-dimensional face recognition. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-005-1085-y
View | DOI
 
[22]
2005 | Published | Conference Paper | IST-REx-ID: 18398
Bronstein, A. M., Bronstein, M. M., Zibulevsky, M., & Zeevi, Y. Y. (2005). “Unmixing” tissues: Sparse component analysis in multi-contrast MRI. In IEEE International Conference on Image Processing (Vol. 2, pp. 1279–1282). Genova, Italy: IEEE. https://doi.org/10.1109/icip.2005.1530297
View | DOI
 
[21]
2005 | Published | Conference Paper | IST-REx-ID: 18399
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2005). Expression-invariant face recognition via spherical embedding. In International Conference on Image Processing (Vol. 3, pp. 756–759). Genova, Italy: IEEE. https://doi.org/10.1109/icip.2005.1530502
View | DOI
 
[20]
2005 | Published | Journal Article | IST-REx-ID: 18407
Bronstein, M. M., Bronstein, A. M., Zibulevsky, M., & Zeevi, Y. Y. (2005). Blind deconvolution of images using optimal sparse representations. IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tip.2005.847322
View | DOI | PubMed | Europe PMC
 
[19]
2005 | Published | Journal Article | IST-REx-ID: 18417
Bronstein, A. M., Bronstein, M. M., & Zibulevsky, M. (2005). Relative optimization for blind deconvolution. IEEE Transactions on Signal Processing. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/tsp.2005.847822
View | DOI
 
[18]
2005 | Published | Journal Article | IST-REx-ID: 18418
Bronstein, A. M., Bronstein, M. M., & Zibulevsky, M. (2005). Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency. IEEE Transactions on Signal Processing. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/tsp.2005.849221
View | DOI
 
[17]
2004 | Published | Conference Paper | IST-REx-ID: 18333
Bronstein, A. M., Bronstein, M. M., Zibulevsky, M., & Zeevi, Y. Y. (2004). Optimal sparse representations for blind deconvolution of images. In 5th International Conference on Independent Component Analysis and Blind Signal Separation (Vol. 3195, pp. 500–507). Granada, Spain: Springer Nature. https://doi.org/10.1007/978-3-540-30110-3_64
View | DOI
 
[16]
2004 | Published | Conference Paper | IST-REx-ID: 18335
Bronstein, A. M., Bronstein, M. M., Zibulevsky, M., & Zeevi, Y. Y. (2004). QML blind deconvolution: Asymptotic analysis. In Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation (Vol. 3195, pp. 677–684). Granada, Spain: Springer Nature. https://doi.org/10.1007/978-3-540-30110-3_86
View | DOI
 
[15]
2004 | Published | Journal Article | IST-REx-ID: 18368
Bronstein, A. M., Bronstein, M. M., & Zibulevsky, M. (2004). Blind source separation using block-coordinate relative Newton method. Signal Processing. Elsevier. https://doi.org/10.1016/j.sigpro.2004.05.019
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[14]
2004 | Published | Conference Paper | IST-REx-ID: 18396
Bronstein, A. M., Bronstein, M. M., Gordon, E., & Kimmel, R. (2004). Fusion of 2D and 3D data in three-dimensional face recognition. In 2004 International Conference on Image Processing. Singapore, Singapore: IEEE. https://doi.org/10.1109/icip.2004.1418696
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[13]
2004 | Published | Conference Paper | IST-REx-ID: 18332
Bronstein, A. M., Bronstein, M. M., & Zibulevsky, M. (2004). Blind source separation using the block-coordinate relative Newton method. In 5th International Conference on Independent Component Analysis and Blind Signal Separation (Vol. 3195, pp. 406–413). Granada, Spain: Springer Nature. https://doi.org/10.1007/978-3-540-30110-3_52
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[12]
2004 | Published | Conference Paper | IST-REx-ID: 18334
Bronstein, A. M., Bronstein, M. M., & Zibulevsky, M. (2004). Blind deconvolution using the relative Newton method. In 5th International Conference on Independent Component Analysis and Blind Signal Separation (Vol. 3195, pp. 554–561). Berlin, Heidelberg: Springer Nature. https://doi.org/10.1007/978-3-540-30110-3_71
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[11]
2004 | Published | Conference Paper | IST-REx-ID: 18331
Bronstein, A. M., Bronstein, M. M., Spira, A., & Kimmel, R. (2004). Face recognition from facial surface metric. In 8th European Conference on Computer Vision (Vol. 3022, pp. 225–237). Prageu, Czech Republic: Springer Nature. https://doi.org/10.1007/978-3-540-24671-8_18
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[10]
2003 | Published | Conference Paper | IST-REx-ID: 18324
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2003). Expression-invariant 3D face recognition. In 4th International Conference on Audio- and Video-Based Biometric Person Authentication (Vol. 2688, pp. 62–70). Guildford, United Kingdom: Springer Nature. https://doi.org/10.1007/3-540-44887-x_8
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[9]
2003 | Published | Journal Article | IST-REx-ID: 18410
Bronstein, A. M., Bronstein, M. M., Zibulevsky, M., & Zeevi, Y. Y. (2003). Optimal nonlinear line-of-flight estimation in positron emission tomography. IEEE Transactions on Nuclear Science. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tns.2003.812434
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[8]
2003 | Published | Conference Paper | IST-REx-ID: 18428
Bronstein, A. M., Bronstein, M. M., Zibulevsky, M., & Zeevi, Y. Y. (2003). Separation of reflections via sparse ICA. In M. A. Unser, A. Aldroubi, & A. F. Laine (Eds.), SPIE Proceedings (Vol. 5207, pp. 292–296). San Diego, CA, United States: SPIE. https://doi.org/10.1117/12.505210
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[7]
2002 | Published | Journal Article | IST-REx-ID: 18369
Bronstein, M. M., & Bronstein, A. M. (2002). Biometrics was no match for hair-raising tricks. Nature. Springer Nature. https://doi.org/10.1038/420739a
View | DOI | PubMed | Europe PMC
 
[6]
2002 | Published | Conference Paper | IST-REx-ID: 18382
Bronstein, A. M., Bronstein, M. M., Zibulevsky, M., & Zeevi, Y. Y. (2002). Optimal non-linear line-of-flight estimation in positron emission tomography. In The 22nd Convention on Electrical and Electronics Engineers in Israel (Vol. 2002–January, pp. 341–344). Tel-Aviv, Israel: IEEE. https://doi.org/10.1109/eeei.2002.1178493
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[5]
2002 | Published | Conference Paper | IST-REx-ID: 18383
Bronstein, M. M., Bronstein, A. M., Zibulevsky, M., & Azhari, H. (2002). Application of the NUFFT for reconstruction problems in diffraction tomography. In The 22nd Convention on Electrical and Electronics Engineers in Israel (Vol. 2002–January, pp. 345–347). Tel-Aviv, Israel: IEEE. https://doi.org/10.1109/eeei.2002.1178495
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[4]
2002 | Published | Conference Paper | IST-REx-ID: 18404
Bronstein, A. M., Bronstein, M., Zibulevsky, M., & Zeevi, Y. Y. (2002). Optimal nonlinear estimation of photon coordinates in PET. In Proceedings IEEE International Symposium on Biomedical Imaging (Vol. 2002–January, pp. 541–544). Washington, DC, United States: IEEE. https://doi.org/10.1109/isbi.2002.1029314
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[3]
2002 | Published | Conference Paper | IST-REx-ID: 18405
Bronstein, M., Bronstein, A. M., & Zibulevsky, M. (2002). Iterative reconstruction in diffraction tomography using nonuniform fast Fourier transform. In Proceedings IEEE International Symposium on Biomedical Imaging (Vol. 2002–January, pp. 633–636). Washington, DC, United States: IEEE. https://doi.org/10.1109/isbi.2002.1029337
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[2]
2002 | Published | Journal Article | IST-REx-ID: 18409
Bronstein, M. M., Bronstein, A. M., Zibulevsky, M., & Azhari, H. (2002). Reconstruction in diffraction ultrasound tomography using nonuniform FFT. IEEE Transactions on Medical Imaging. Institute of Electrical and Electronics Engineers. 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., Bronstein, A. M., Zibulevsky, M., & Zeevi, Y. Y. (2001). Optimal sparse representations for blind source separation and blind deconvolution: A learning approach. In 2004 International Conference on Image Processing. Singapore, Singapore: IEEE. https://doi.org/10.1109/icip.2004.1421428
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