Alex M. Bronstein
Bronstein Group
137 Publications
2024 | Published | Journal Article | IST-REx-ID: 18203 |
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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2024 | Published | Journal Article | IST-REx-ID: 18204 |
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
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2024 | Published | Journal Article | IST-REx-ID: 18205 |
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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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
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2023 | Published | Journal Article | IST-REx-ID: 18207 |
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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2023 | Published | Journal Article | IST-REx-ID: 18208 |
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
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2023 | Published | Journal Article | IST-REx-ID: 18209 |
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
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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
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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
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2023 | Published | Journal Article | IST-REx-ID: 18214 |
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
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2023 | Published | Conference Paper | IST-REx-ID: 18215 |
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
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2023 | Published | Journal Article | IST-REx-ID: 18216 |
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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2023 | Published | Conference Paper | IST-REx-ID: 18217 |
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
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2023 | Published | Conference Paper | IST-REx-ID: 18218 |
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
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2023 | Published | Journal Article | IST-REx-ID: 18219 |
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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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
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2022 | Published | Journal Article | IST-REx-ID: 18220 |
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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2022 | Published | Journal Article | IST-REx-ID: 18221 |
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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2022 | Published | Journal Article | IST-REx-ID: 18222 |
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
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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
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2022 | Published | Journal Article | IST-REx-ID: 18224 |
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
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2022 | Published | Journal Article | IST-REx-ID: 18225 |
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
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2022 | Published | Journal Article | IST-REx-ID: 18226 |
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
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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
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2022 | Published | Conference Paper | IST-REx-ID: 18229 |
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
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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
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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
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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
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2021 | Published | Journal Article | IST-REx-ID: 18233 |
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
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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
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2021 | Published | Journal Article | IST-REx-ID: 18235 |
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
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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
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2021 | Published | Journal Article | IST-REx-ID: 18237 |
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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2021 | Published | Journal Article | IST-REx-ID: 18238 |
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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2021 | Published | Conference Paper | IST-REx-ID: 18239 |
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
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2021 | Published | Conference Paper | IST-REx-ID: 18240 |
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
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2021 | Published | Conference Paper | IST-REx-ID: 18241 |
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
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2021 | Published | Book Chapter | IST-REx-ID: 18242 |
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
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2020 | Published | Journal Article | IST-REx-ID: 18228 |
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
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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
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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
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2020 | Published | Journal Article | IST-REx-ID: 18250 |
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
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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
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2020 | Published | Journal Article | IST-REx-ID: 18253 |
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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2020 | Published | Conference Paper | IST-REx-ID: 18259 |
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
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2020 | Published | Conference Paper | IST-REx-ID: 18255 |
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
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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
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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
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2019 | Published | Journal Article | IST-REx-ID: 18263 |
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
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2019 | Published | Journal Article | IST-REx-ID: 18264 |
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
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2019 | Published | Conference Paper | IST-REx-ID: 18257 |
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
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2019 | Published | Conference Paper | IST-REx-ID: 18256 |
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
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2019 | Published | Conference Paper | IST-REx-ID: 18262 |
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
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2018 | Published | Journal Article | IST-REx-ID: 18271 |
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
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2018 | Published | Conference Paper | IST-REx-ID: 18273 |
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
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2018 | Published | Conference Paper | IST-REx-ID: 18276 |
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
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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
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2018 | Published | Conference Paper | IST-REx-ID: 18270 |
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
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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
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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
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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
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2017 | Published | Conference Paper | IST-REx-ID: 18287 |
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
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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
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2016 | Published | Conference Paper | IST-REx-ID: 18388 |
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
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| arXiv
2016 | Published | Conference Paper | IST-REx-ID: 18374 |
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
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| arXiv
2016 | Published | Conference Paper | IST-REx-ID: 18375 |
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
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| arXiv
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
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| DOI
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
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| DOI
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
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| PubMed | Europe PMC
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
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| DOI
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
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| DOI
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
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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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| PubMed | Europe PMC
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
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| DOI
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
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| DOI
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
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| DOI
2011 | Published | Journal Article | IST-REx-ID: 18362 |
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
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| arXiv
2011 | Published | Journal Article | IST-REx-ID: 18363 |
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]
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| arXiv
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
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| PubMed | Europe PMC
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
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| DOI
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
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| DOI
2011 | Published | Conference Paper | IST-REx-ID: 18377 |
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]
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| arXiv
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
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| DOI
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
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| DOI
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
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| DOI
2010 | Published | Journal Article | IST-REx-ID: 18360 |
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]
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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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| PubMed | Europe PMC
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
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| PubMed | Europe PMC
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
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| DOI
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
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| DOI
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
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| DOI
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
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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
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| DOI
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
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| PubMed | Europe PMC
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
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| DOI
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
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| DOI
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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| DOI
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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| DOI
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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| DOI
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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| DOI
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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| DOI
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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| DOI
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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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
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| PubMed | Europe PMC
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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| DOI
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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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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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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| DOI
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
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| PubMed | Europe PMC
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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Grants
137 Publications
2024 | Published | Journal Article | IST-REx-ID: 18203 |
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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2024 | Published | Journal Article | IST-REx-ID: 18204 |
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
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2024 | Published | Journal Article | IST-REx-ID: 18205 |
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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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
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2023 | Published | Journal Article | IST-REx-ID: 18207 |
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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2023 | Published | Journal Article | IST-REx-ID: 18208 |
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
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2023 | Published | Journal Article | IST-REx-ID: 18209 |
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
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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
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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
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2023 | Published | Journal Article | IST-REx-ID: 18214 |
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
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2023 | Published | Conference Paper | IST-REx-ID: 18215 |
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
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2023 | Published | Journal Article | IST-REx-ID: 18216 |
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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2023 | Published | Conference Paper | IST-REx-ID: 18217 |
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
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2023 | Published | Conference Paper | IST-REx-ID: 18218 |
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
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2023 | Published | Journal Article | IST-REx-ID: 18219 |
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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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
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2022 | Published | Journal Article | IST-REx-ID: 18220 |
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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2022 | Published | Journal Article | IST-REx-ID: 18221 |
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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2022 | Published | Journal Article | IST-REx-ID: 18222 |
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
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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
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2022 | Published | Journal Article | IST-REx-ID: 18224 |
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
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2022 | Published | Journal Article | IST-REx-ID: 18225 |
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
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2022 | Published | Journal Article | IST-REx-ID: 18226 |
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
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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
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2022 | Published | Conference Paper | IST-REx-ID: 18229 |
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
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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
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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]
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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
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2021 | Published | Journal Article | IST-REx-ID: 18233 |
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
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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]
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2021 | Published | Journal Article | IST-REx-ID: 18235 |
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
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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
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2021 | Published | Journal Article | IST-REx-ID: 18237 |
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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2021 | Published | Journal Article | IST-REx-ID: 18238 |
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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2021 | Published | Conference Paper | IST-REx-ID: 18239 |
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
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2021 | Published | Conference Paper | IST-REx-ID: 18240 |
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
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2021 | Published | Conference Paper | IST-REx-ID: 18241 |
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
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2021 | Published | Book Chapter | IST-REx-ID: 18242 |
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
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2020 | Published | Journal Article | IST-REx-ID: 18228 |
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
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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
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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
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2020 | Published | Journal Article | IST-REx-ID: 18250 |
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
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| arXiv
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
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2020 | Published | Journal Article | IST-REx-ID: 18253 |
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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2020 | Published | Conference Paper | IST-REx-ID: 18259 |
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
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2020 | Published | Conference Paper | IST-REx-ID: 18255 |
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
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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
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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
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2019 | Published | Journal Article | IST-REx-ID: 18263 |
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
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2019 | Published | Journal Article | IST-REx-ID: 18264 |
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
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 18257 |
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
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2019 | Published | Conference Paper | IST-REx-ID: 18256 |
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
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 18262 |
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
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| arXiv
2018 | Published | Journal Article | IST-REx-ID: 18271 |
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
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| arXiv
2018 | Published | Conference Paper | IST-REx-ID: 18273 |
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
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| arXiv
2018 | Published | Conference Paper | IST-REx-ID: 18276 |
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
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| arXiv
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
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2018 | Published | Conference Paper | IST-REx-ID: 18270 |
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
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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
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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
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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
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2017 | Published | Conference Paper | IST-REx-ID: 18287 |
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
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| arXiv
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
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| DOI
2016 | Published | Conference Paper | IST-REx-ID: 18388 |
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
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| arXiv
2016 | Published | Conference Paper | IST-REx-ID: 18374 |
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]
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| arXiv
2016 | Published | Conference Paper | IST-REx-ID: 18375 |
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
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| arXiv
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
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| DOI
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
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| DOI
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
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| DOI
| PubMed | Europe PMC
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
| PubMed | Europe PMC
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
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| DOI
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
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| DOI
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
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| DOI
2011 | Published | Journal Article | IST-REx-ID: 18362 |
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]
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| arXiv
2011 | Published | Journal Article | IST-REx-ID: 18363 |
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]
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| DOI
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| arXiv
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
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| DOI
| PubMed | Europe PMC
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
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| DOI
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
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| DOI
2011 | Published | Conference Paper | IST-REx-ID: 18377 |
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]
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| arXiv
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
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| DOI
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
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| DOI
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
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| DOI
2010 | Published | Journal Article | IST-REx-ID: 18360 |
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]
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| Download Published Version (ext.)
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
| PubMed | Europe PMC
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
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| DOI
| PubMed | Europe PMC
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| DOI
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
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| PubMed | Europe PMC
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
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| DOI
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
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| DOI
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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| DOI
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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| DOI
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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| DOI
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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| DOI
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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| DOI
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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| DOI
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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| DOI
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
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| PubMed | Europe PMC
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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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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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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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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| DOI
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
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| DOI
| PubMed | Europe PMC
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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| DOI