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ORCIDAlexander M. Bronstein
Alex M. Bronstein
Person information
- affiliation: Technion - Israel Institute of Technology, Department of Computer Science
- affiliation: Tel Aviv University, School of Electrical Engineering
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Books and Theses
- 2009
[b2]Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Numerical Geometry of Non-Rigid Shapes. Monographs in Computer Science, Springer 2009, ISBN 978-0-387-73300-5, pp. 1-277- 2007
- [b1]Alexander M. Bronstein:
Numerical geometry of non-rigid objects: embedding problems. Technion - Israel Institute of Technology, Israel, 2007
Journal Articles
- 2023
- [j68]Yaniv Nemcovsky
, Evgenii Zheltonozhskii, Chaim Baskin, Brian Chmiel, Alex M. Bronstein, Avi Mendelson:
Adversarial robustness via noise injection in smoothed models. Appl. Intell. 53(8): 9483-9498 (2023) - [j67]Tomer Weiss, Eduardo Mayo Yanes, Sabyasachi Chakraborty, Luca Cosmo, Alex M. Bronstein, Renana Gershoni-Poranne:
Guided diffusion for inverse molecular design. Nat. Comput. Sci. 3(10): 873-882 (2023) - [j66]Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati:
Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. Proc. VLDB Endow. 17(3): 427-440 (2023) - [j65]Judith Hermanns, Konstantinos Skitsas, Anton Tsitsulin, Marina Munkhoeva, Alexander Frederiksen Kyster, Simon Nielsen, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras:
GRASP: Scalable Graph Alignment by Spectral Corresponding Functions. ACM Trans. Knowl. Discov. Data 17(4): 50:1-50:26 (2023) - 2022
- [j64]Peipei Kang, Zehang Lin, Zhenguo Yang, Xiaozhao Fang, Alexander M. Bronstein, Qing Li, Wenyin Liu:
Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval. Appl. Intell. 52(1): 33-54 (2022) - [j63]Gautam Pai, Alex M. Bronstein, Ronen Talmon, Ron Kimmel:
Deep Isometric Maps. Image Vis. Comput. 123: 104461 (2022) - [j62]Peipei Kang, Zehang Lin, Zhenguo Yang, Alexander M. Bronstein, Qing Li, Wenyin Liu:
Deep fused two-step cross-modal hashing with multiple semantic supervision. Multim. Tools Appl. 81(11): 15653-15670 (2022) - [j61]Stefan Sommer, Alex M. Bronstein:
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 811-822 (2022) - [j60]Eli Schwartz, Leonid Karlinsky, Rogério Feris, Raja Giryes, Alexander M. Bronstein:
Baby steps towards few-shot learning with multiple semantics. Pattern Recognit. Lett. 160: 142-147 (2022) - 2021
- [j59]Eyal Rozenberg, Daniel Freedman, Alex M. Bronstein:
Learning to Localize Objects Using Limited Annotation, With Applications to Thoracic Diseases. IEEE Access 9: 67620-67633 (2021) - [j58]Chaim Baskin, Brian Chmiel, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson:
CAT: Compression-Aware Training for bandwidth reduction. J. Mach. Learn. Res. 22: 269:1-269:20 (2021) - [j57]Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson:
Loss aware post-training quantization. Mach. Learn. 110(11): 3245-3262 (2021) - [j56]Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky:
MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. Pattern Recognit. Lett. 149: 130-136 (2021) - 2020
- [j55]Giorgio Mariani, Luca Cosmo, Alexander M. Bronstein, Emanuele Rodolà:
Generating Adversarial Surfaces via Band-Limited Perturbations. Comput. Graph. Forum 39(5): 253-264 (2020) - [j54]Aviad Zabatani, Vitaly Surazhsky, Erez Sperling, Sagi Ben-Moshe, Ohad Menashe, David H. Silver, Zachi Karni, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Intel® RealSense™ SR300 Coded Light Depth Camera. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2333-2345 (2020) - [j53]Keren Rotker, Dafna Ben-Bashat, Alex M. Bronstein:
Overparameterized Models for Vector Fields. SIAM J. Imaging Sci. 13(3): 1386-1414 (2020) - [j52]Raja Giryes, Guillermo Sapiro, Alex M. Bronstein:
Corrections to "Deep Neural Networks With Random Gaussian Weights: A Universal Classification Strategy?". IEEE Trans. Signal Process. 68: 529-531 (2020) - [j51]Yoni Choukroun, Alon Shtern, Alexander M. Bronstein, Ron Kimmel:
Hamiltonian Operator for Spectral Shape Analysis. IEEE Trans. Vis. Comput. Graph. 26(2): 1320-1331 (2020) - 2019
- [j50]Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps Representation On Product Manifolds. Comput. Graph. Forum 38(1): 678-689 (2019) - [j49]Eli Schwartz, Raja Giryes, Alexander M. Bronstein:
DeepISP: Toward Learning an End-to-End Image Processing Pipeline. IEEE Trans. Image Process. 28(2): 912-923 (2019) - [j48]Chaim Baskin, Natan Liss, Eli Schwartz, Evgenii Zheltonozhskii, Raja Giryes, Alex M. Bronstein, Avi Mendelson:
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks. ACM Trans. Comput. Syst. 37(1-4): 4:1-4:15 (2019) - 2018
- [j47]Harel Haim, Shay Elmalem, Raja Giryes, Alexander M. Bronstein, Emanuel Marom:
Depth Estimation From a Single Image Using Deep Learned Phase Coded Mask. IEEE Trans. Computational Imaging 4(3): 298-310 (2018) - [j46]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Class-Aware Fully Convolutional Gaussian and Poisson Denoising. IEEE Trans. Image Process. 27(11): 5707-5722 (2018) - [j45]Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro:
Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems. IEEE Trans. Signal Process. 66(7): 1676-1690 (2018) - 2017
- [j44]Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein:
Fully Spectral Partial Shape Matching. Comput. Graph. Forum 36(2): 247-258 (2017) - [j43]Or Litany, Tal Remez, Daniel Freedman, Lior Shapira, Alexander M. Bronstein, Ran Gal:
ASIST: Automatic semantically invariant scene transformation. Comput. Vis. Image Underst. 157: 284-299 (2017) - 2016
- [j42]Qiang Qiu, Zhuoqing Chang, Mark Draelos, Jie Chen, Alexander M. Bronstein, Guillermo Sapiro:
Low-cost Gaze and Pulse Analysis using RealSense. EAI Endorsed Trans. Ambient Syst. 3(12): e1 (2016) - [j41]Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers:
Non-Rigid Puzzles. Comput. Graph. Forum 35(5): 135-143 (2016) - [j40]Silvia Biasotti, Andrea Cerri, Alexander M. Bronstein, Michael M. Bronstein:
Recent Trends, Applications, and Perspectives in 3D Shape Similarity Assessment. Comput. Graph. Forum 35(6): 87-119 (2016) - [j39]David Pickup, Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Z. Cheng, Zhouhui Lian, Masaki Aono, A. Ben Hamza, Alexander M. Bronstein, Michael M. Bronstein, S. Bu, Umberto Castellani, S. Cheng, Valeria Garro, Andrea Giachetti, Afzal Godil, Luca Isaia, J. Han, Henry Johan, Long Lai, Bo Li, Chen-Feng Li, Haisheng Li, Roee Litman, X. Liu, Z. Liu, Yijuan Lu, Li Sun, Gary K. L. Tam, Atsushi Tatsuma, Jianbo Ye:
Shape Retrieval of Non-rigid 3D Human Models. Int. J. Comput. Vis. 120(2): 169-193 (2016) - [j38]Xiao Bian, Hamid Krim, Alex M. Bronstein, Liyi Dai:
Sparsity and Nullity: Paradigms for Analysis Dictionary Learning. SIAM J. Imaging Sci. 9(3): 1107-1126 (2016) - [j37]Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein:
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? IEEE Trans. Signal Process. 64(13): 3444-3457 (2016) - 2015
- [j36]Simon Korman, Roee Litman, Shai Avidan, Alexander M. Bronstein:
Probably Approximately Symmetric: Fast Rigid Symmetry Detection With Global Guarantees. Comput. Graph. Forum 34(1): 2-13 (2015) - [j35]Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro:
Learning Efficient Sparse and Low Rank Models. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1821-1833 (2015) - [j34]Davide Eynard, Artiom Kovnatsky, Michael M. Bronstein, Klaus Glashoff, Alexander M. Bronstein:
Multimodal Manifold Analysis by Simultaneous Diagonalization of Laplacians. IEEE Trans. Pattern Anal. Mach. Intell. 37(12): 2505-2517 (2015) - 2014
- [j33]Roee Litman, Alexander M. Bronstein, Michael M. Bronstein, Umberto Castellani:
Supervised learning of bag-of-features shape descriptors using sparse coding. Comput. Graph. Forum 33(5): 127-136 (2014) - [j32]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Dan Waisman, Nir A. Sochen, Ron Kimmel:
Equi-affine Invariant Geometry for Shape Analysis. J. Math. Imaging Vis. 50(1-2): 144-163 (2014) - [j31]Roee Litman, Alexander M. Bronstein:
Learning Spectral Descriptors for Deformable Shape Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 171-180 (2014) - [j30]Jonathan Masci, Michael M. Bronstein, Alexander M. Bronstein, Jürgen Schmidhuber:
Multimodal Similarity-Preserving Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 36(4): 824-830 (2014) - 2013
- [j29]Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein, Klaus Glashoff, Ron Kimmel:
Coupled quasi-harmonic bases. Comput. Graph. Forum 32(2): 439-448 (2013) - [j28]Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro:
Sparse Modeling of Intrinsic Correspondences. Comput. Graph. Forum 32(2): 459-468 (2013) - 2012
- [j27]Roee Litman, Alexander M. Bronstein, Michael M. Bronstein:
Stable volumetric features in deformable shapes. Comput. Graph. 36(5): 569-576 (2012) - [j26]Christoph Strecha, Alexander M. Bronstein, Michael M. Bronstein, Pascal Fua:
LDAHash: Improved Matching with Smaller Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 66-78 (2012) - 2011
- [j25]Roee Litman, Alexander M. Bronstein, Michael M. Bronstein:
Diffusion-geometric maximally stable component detection in deformable shapes. Comput. Graph. 35(3): 549-560 (2011) - [j24]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen:
Affine-invariant geodesic geometry of deformable 3D shapes. Comput. Graph. 35(3): 692-697 (2011) - [j23]Michael M. Bronstein, Alexander M. Bronstein:
Shape Recognition with Spectral Distances. IEEE Trans. Pattern Anal. Mach. Intell. 33(5): 1065-1071 (2011) - [j22]Ron Kimmel, Cuiping Zhang, Alexander M. Bronstein, Michael M. Bronstein:
Are MSER Features Really Interesting? IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2316-2320 (2011) - [j21]Alexander M. Bronstein, Michael M. Bronstein, Leonidas J. Guibas, Maks Ovsjanikov:
Shape google: Geometric words and expressions for invariant shape retrieval. ACM Trans. Graph. 30(1): 1:1-1:20 (2011) - 2010
- [j20]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Full and Partial Symmetries of Non-rigid Shapes. Int. J. Comput. Vis. 89(1): 18-39 (2010) - [j19]Guy Rosman, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel:
Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding. Int. J. Comput. Vis. 89(1): 56-68 (2010) - [j18]Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Mona Mahmoudi, Guillermo Sapiro:
A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching. Int. J. Comput. Vis. 89(2-3): 266-286 (2010) - 2009
- [j17]Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Topology-Invariant Similarity of Nonrigid Shapes. Int. J. Comput. Vis. 81(3): 281-301 (2009) - [j16]Alexander M. Bronstein, Michael M. Bronstein, Alfred M. Bruckstein, Ron Kimmel:
Partial Similarity of Objects, or How to Compare a Centaur to a Horse. Int. J. Comput. Vis. 84(2): 163-183 (2009) - [j15]Alexander M. Bronstein, Michael M. Bronstein, Yair Carmon, Ron Kimmel:
Partial Similarity of Shapes Using a Statistical Significance Measure. IPSJ Trans. Comput. Vis. Appl. 1: 105-114 (2009) - 2008
- [j14]Alexander M. Bronstein, Michael M. Bronstein, Alfred M. Bruckstein, Ron Kimmel:
Analysis of Two-Dimensional Non-Rigid Shapes. Int. J. Comput. Vis. 78(1): 67-88 (2008) - [j13]Ofir Weber, Yohai S. Devir, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Parallel algorithms for approximation of distance maps on parametric surfaces. ACM Trans. Graph. 27(4): 104:1-104:16 (2008) - 2007
- [j12]Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Weighted distance maps computation on parametric three-dimensional manifolds. J. Comput. Phys. 225(1): 771-784 (2007) - [j11]Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Expression-Invariant Representations of Faces. IEEE Trans. Image Process. 16(1): 188-197 (2007) - [j10]Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Calculus of Nonrigid Surfaces for Geometry and Texture Manipulation. IEEE Trans. Vis. Comput. Graph. 13(5): 902-913 (2007) - 2006
- [j9]Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel, Irad Yavneh:
Multigrid multidimensional scaling. Numer. Linear Algebra Appl. 13(2-3): 149-171 (2006) - [j8]Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Efficient Computation of Isometry-Invariant Distances Between Surfaces. SIAM J. Sci. Comput. 28(5): 1812-1836 (2006) - 2005
- [j7]Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Three-Dimensional Face Recognition. Int. J. Comput. Vis. 64(1): 5-30 (2005) - [j6]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi:
Sparse ICA for blind separation of transmitted and reflected images. Int. J. Imaging Syst. Technol. 15(1): 84-91 (2005) - [j5]Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi:
Blind deconvolution of images using optimal sparse representations. IEEE Trans. Image Process. 14(6): 726-736 (2005) - [j4]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky:
Relative optimization for blind deconvolution. IEEE Trans. Signal Process. 53(6): 2018-2026 (2005) - [j3]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky:
Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency. IEEE Trans. Signal Process. 53(7): 2576-2579 (2005) - 2004
- [j2]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky:
Blind source separation using block-coordinate relative Newton method. Signal Process. 84(8): 1447-1459 (2004) - 2002
- [j1]Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Haim Azhari:
Reconstruction in Diffraction Ultrasound Tomography Using Non-Uniform FFT. IEEE Trans. Medical Imaging 21(11): 1395-1401 (2002)
Conference and Workshop Papers
- 2025
- [c141]Daniel Freedman, Eyal Rozenberg, Alex M. Bronstein:
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation. AAAI 2025: 200-209 - [c140]Tsachi Blau, Roy Ganz, Chaim Baskin, Michael Elad, Alex M. Bronstein:
Class-Conditioned Transformation for Enhanced Robust Image Classification. WACV 2025: 6538-6547 - 2024
- [c139]Gilad Rave, Daniel E. Fordham, Alex M. Bronstein, David H. Silver:
Enhancing Predictive Accuracy in Embryo Implantation: The Bonna Algorithm and its Clinical Implications. AIiH (2) 2024: 160-171 - [c138]Marco Pegoraro, Sanketh Vedula, Aviv Rosenberg, Irene Tallini, Emanuele Rodolà, Alex M. Bronstein:
Vector Quantile Regression on Manifolds. AISTATS 2024: 1999-2007 - [c137]Gabriele Serussi, Tamir Shor, Tom Hirshberg, Chaim Baskin, Alex M. Bronstein:
Active propulsion noise shaping for multi-rotor aircraft localization. IROS 2024: 472-479 - [c136]Barak Gahtan, Reuven Cohen, Alex M. Bronstein, Eli Shapira:
Data-Driven Cellular Network Selector for Vehicle Teleoperations. NoF 2024: 63-71 - 2023
- [c135]Haojie Ye, Sanketh Vedula, Yuhan Chen, Yichen Yang, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati:
GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference. ASPLOS (3) 2023: 282-301 - [c134]Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alexander M. Bronstein:
Fast Nonlinear Vector Quantile Regression. ICLR 2023 - [c133]Dean Zadok, Oren Salzman, Alon Wolf, Alex M. Bronstein:
Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation. ICRA 2023: 12645-12651 - [c132]Ama Bembua Bainson, Judith Hermanns, Petros Petsinis, Niklas Aavad, Casper Dam Larsen, Tiarnan Swayne, Amit Boyarski, Davide Mottin, Alex M. Bronstein, Panagiotis Karras:
Spectral Subgraph Localization. LoG 2023: 7 - [c131]Tamir Shor, Tomer Weiss, Dor Noti, Alexander M. Bronstein:
Multi PILOT: Feasible Learned Multiple Acquisition Trajectories For Dynamic MRI. MIDL 2023: 1033-1050 - [c130]Barak Gahtan, Reuven Cohen, Alex M. Bronstein, Gil Kedar:
Using Deep Reinforcement Learning for mmWave Real-Time Scheduling. NoF 2023: 71-79 - 2022
- [c129]Yaniv Nemcovsky, Matan Jacoby, Alex M. Bronstein, Chaim Baskin:
Physical Passive Patch Adversarial Attacks on Visual Odometry Systems. ACCV (7) 2022: 518-534 - [c128]Elad Amrani, Leonid Karlinsky, Alexander M. Bronstein:
Self-Supervised Classification Network. ECCV (31) 2022: 116-132 - [c127]Nishil Talati, Haojie Ye, Sanketh Vedula, Kuan-Yu Chen, Yuhan Chen, Daniel Liu, Yichao Yuan, David T. Blaauw, Alex M. Bronstein, Trevor N. Mudge, Ronald G. Dreslinski:
Mint: An Accelerator For Mining Temporal Motifs. MICRO 2022: 1270-1287 - [c126]Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany:
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels. WACV 2022: 387-397 - 2021
- [c125]Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Feris, Alex M. Bronstein, Raja Giryes:
StarNet: towards Weakly Supervised Few-Shot Object Detection. AAAI 2021: 1743-1753 - [c124]Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex M. Bronstein:
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning. AAAI 2021: 6644-6652 - [c123]Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras:
GRASP: Graph Alignment Through Spectral Signatures. APWeb/WAIM (1) 2021: 44-52 - [c122]Omer Dahary, Matan Jacoby, Alex M. Bronstein:
Digital Gimbal: End-to-End Deep Image Stabilization With Learnable Exposure Times. CVPR 2021: 11936-11945 - [c121]Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky:
Detector-Free Weakly Supervised Grounding by Separation. ICCV 2021: 1781-1792 - [c120]Tomer Weiss, Nissim Peretz, Sanketh Vedula, Arie Feuer, Alexander M. Bronstein:
Joint Optimization of System Design and Reconstruction in MIMO Radar Imaging. MLSP 2021: 1-6 - [c119]Amit Boyarski, Sanketh Vedula, Alexander M. Bronstein:
Spectral Geometric Matrix Completion. MSML 2021: 172-196 - 2020
- [c118]Amir Livne, Ziv Aviv, Shahaf Grofit, Alex M. Bronstein, Ron Kimmel:
Do We Need Depth in State-Of-The-Art Face Authentication? 3DV 2020: 889-897 - [c117]Elad Amrani, Rami Ben-Ari, Inbar Shapira, Tal Hakim, Alex M. Bronstein:
Self-Supervised Object Detection and Retrieval Using Unlabeled Videos. CVPR Workshops 2020: 4100-4108 - [c116]Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein:
Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI. ICASSP 2020: 8653-8657 - [c115]Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller:
The Shape of Data: Intrinsic Distance for Data Distributions. ICLR 2020 - [c114]Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Yevgeny Yermolin, Alex Karbachevsky, Alex M. Bronstein, Avi Mendelson:
Feature Map Transform Coding for Energy-Efficient CNN Inference. IJCNN 2020: 1-9 - [c113]Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alex M. Bronstein:
3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI. MLMIR@MICCAI 2020: 3-16 - [c112]Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alex M. Bronstein, Uri C. Weiser:
Robust Quantization: One Model to Rule Them All. NeurIPS 2020 - 2019
- [c111]Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà:
Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment. 3DV 2019: 37-46 - [c110]Roberto M. Dyke, C. Stride, Yu-Kun Lai, Paul L. Rosin, Mathieu Aubry, Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers, Matthew Fisher, Thibault Groueix, Daoliang Guo, Vladimir G. Kim, Ron Kimmel, Zorah Lähner, Kun Li, Or Litany, Tal Remez, Emanuele Rodolà, Bryan C. Russell, Yusuf Sahillioglu, Ron Slossberg, Gary K. L. Tam, Matthias Vestner, Z. Wu, Jingyu Yang:
Shape Correspondence with Isometric and Non-Isometric Deformations. 3DOR@Eurographics 2019: 111-119 - [c109]Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel:
Unsupervised Learning of Dense Shape Correspondence. CVPR 2019: 4370-4379 - [c108]Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. CVPR 2019: 5197-5206 - [c107]Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. CVPR 2019: 6548-6557 - [c106]Elad Amrani, Rami Ben-Ari, Tal Hakim, Alex M. Bronstein:
Learning to Detect and Retrieve Objects From Unlabeled Videos. ICCV Workshops 2019: 3713-3717 - [c105]Nir Diamant, Dean Zadok, Chaim Baskin, Eli Schwartz, Alexander M. Bronstein:
Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level. ICIP 2019: 739-743 - [c104]Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Self-supervised Learning of Inverse Problem Solvers in Medical Imaging. DART/MIL3ID@MICCAI 2019: 111-119 - [c103]Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Learning beamforming in ultrasound imaging. MIDL 2019: 493-511 - [c102]Eyal Rozenberg, Daniel Freedman, Alex M. Bronstein:
Localization with Limited Annotation for Chest X-rays. ML4H@NeurIPS 2019: 52-65 - [c101]Gautam Pai, Ronen Talmon, Alexander M. Bronstein, Ron Kimmel:
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling. WACV 2019: 819-828 - [c100]Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller:
Spectral Graph Complexity. WWW (Companion Volume) 2019: 308-309 - 2018
- [c99]Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia:
Deformable Shape Completion With Graph Convolutional Autoencoders. CVPR 2018: 1886-1895 - [c98]Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro:
ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks. ECCV (2) 2018: 442-459 - [c97]Alexander M. Bronstein:
Geometry and Learning in 3D Shape Processing Problems. VISIGRAPP 2018: 7 - [c96]Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro:
The Learned Inexact Project Gradient Descent Algorithm. ICASSP 2018: 6767-6771 - [c95]Chaim Baskin, Natan Liss, Evgenii Zheltonozhskii, Alexander M. Bronstein, Avi Mendelson:
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform. IPDPS Workshops 2018: 162-169 - [c94]Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller:
NetLSD: Hearing the Shape of a Graph. KDD 2018: 2347-2356 - [c93]Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim:
High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning. MICCAI (1) 2018: 126-134 - [c92]Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini:
High Quality Ultrasonic Multi-line Transmission Through Deep Learning. MLMIR@MICCAI 2018: 147-155 - [c91]Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Abhishek Kumar, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
Delta-encoder: an effective sample synthesis method for few-shot object recognition. NeurIPS 2018: 2850-2860 - [c90]Emanuele Rodolà, Zorah Lähner, Alex M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps on Product Manifolds. SGP (Posters) 2018: 9-10 - 2017
- [c89]Matthias Vestner, Zorah Lähner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers:
Efficient Deformable Shape Correspondence via Kernel Matching. 3DV 2017: 517-526 - [c88]Emanuele Rodolà, Luca Cosmo, Or Litany, Michael M. Bronstein, Alexander M. Bronstein, Nicolas Audebert, A. Ben Hamza, Alexandre Boulch, Umberto Castellani, Minh N. Do, Duc Anh Duong, Takahiko Furuya, Andrea Gasparetto, Y. Hong, J. Kim, Bertrand Le Saux, Roee Litman, Majid Masoumi, Giorgia Minello, Hai-Dang Nguyen, V.-T. Nguyen, Ryutarou Ohbuchi, Viet-Khoi Pham, Thuyen V. Phan, M. Rezaei, Andrea Torsello, Minh-Triet Tran, Q. T. Tran, Bao Truong, L. Wan, Changqing Zou:
Deformable Shape Retrieval with Missing Parts. 3DOR@Eurographics 2017 - [c87]Matthias Vestner, Roee Litman, Emanuele Rodolà, Alexander M. Bronstein, Daniel Cremers:
Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space. CVPR 2017: 6681-6690 - [c86]Or Litany, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein:
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. ICCV 2017: 5660-5668 - [c85]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Deep class-aware image denoising. ICIP 2017: 1895-1899 - [c84]Guy Alexandroni, Yana Podolsky, Hayit Greenspan, Tal Remez, Or Litany, Alexander M. Bronstein, Raja Giryes:
White Matter Fiber Representation Using Continuous Dictionary Learning. MICCAI (1) 2017: 566-574 - [c83]Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein:
Subspace Least Squares Multidimensional Scaling. SSVM 2017: 681-693 - [c82]Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein:
Computing and processing correspondences with functional maps. SIGGRAPH Courses 2017: 5:1-5:62 - 2016
- [c81]Alexander M. Bronstein, Yoni Choukroun, Ron Kimmel, Matan Sela:
Consistent Discretization and Minimization of the L1 Norm on Manifolds. 3DV 2016: 435-440 - [c80]Roee Litman, Alexander M. Bronstein:
SpectroMeter: Amortized Sublinear Spectral Approximation of Distance on Graphs. 3DV 2016: 499-508 - [c79]Tal Remez, Or Litany, Alexander M. Bronstein:
A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels. ICCP 2016: 1-9 - [c78]Jie Chen, Zhuoqing Chang, Qiang Qiu, Xiaobai Li, Guillermo Sapiro, Alexander M. Bronstein, Matti Pietikäinen:
RealSense = real heart rate: Illumination invariant heart rate estimation from videos. IPTA 2016: 1-6 - [c77]Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein:
Computing and processing correspondences with functional maps. SIGGRAPH ASIA Courses 2016: 9:1-9:60 - 2015
- [c76]Ivan Sipiran, Benjamin Bustos, Tobias Schreck, Alexander M. Bronstein, Sungbin Choi, Long Lai, Haisheng Li, Roee Litman, Li Sun:
Scalability of Non-Rigid 3D Shape Retrieval. 3DOR@Eurographics 2015: 121-128 - [c75]Roee Litman, Simon Korman, Alexander M. Bronstein, Shai Avidan:
Inverting RANSAC: Global model detection via inlier rate estimation. CVPR 2015: 5243-5251 - [c74]Xiao Bian, Hamid Krim, Alex M. Bronstein, Liyi Dai:
Sparse null space basis pursuit and analysis dictionary learning for high-dimensional data analysis. ICASSP 2015: 3781-3785 - [c73]Mark Draelos, Qiang Qiu, Alexander M. Bronstein, Guillermo Sapiro:
Intel realsense = Real low cost gaze. ICIP 2015: 2520-2524 - [c72]Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein:
On the Stability of Deep Networks. ICLR (Workshop) 2015 - [c71]Qiang Qiu, Guillermo Sapiro, Alexander M. Bronstein:
Random Forests Can Hash. ICLR (Workshop) 2015 - 2014
- [c70]David Pickup, Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Z. Cheng, Zhouhui Lian, Masaki Aono, Abdessamad Ben Hamza, Alexander M. Bronstein, Michael M. Bronstein, S. Bu, Umberto Castellani, S. Cheng, Valeria Garro, Andrea Giachetti, Afzal Godil, J. Han, Henry Johan, Long Lai, Bo Li, C. Li, Haisheng Li, Roee Litman, X. Liu, Z. Liu, Yijuan Lu, Atsushi Tatsuma, Jianbo Ye:
Shape Retrieval of Non-Rigid 3D Human Models. 3DOR@Eurographics 2014: 101-110 - [c69]Silvia Biasotti, Andrea Cerri, Alexander M. Bronstein, Michael M. Bronstein:
Quantifying 3D Shape Similarity Using Maps: Recent Trends, Applications and Perspectives. Eurographics (State of the Art Reports) 2014: 135-159 - [c68]Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro:
Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement. HSCMA 2014: 11-15 - [c67]Ohad Menashe, Alexander M. Bronstein:
Real-time compressed imaging of scattering volumes. ICIP 2014: 1322-1326 - [c66]Jonathan Masci, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro:
Sparse similarity-preserving hashing. ICLR 2014 - 2013
- [c65]Pablo Sprechmann, Alexander M. Bronstein, Michael M. Bronstein, Guillermo Sapiro:
Learnable low rank sparse models for speech denoising. ICASSP 2013: 136-140 - [c64]Pablo Sprechmann, Alexander M. Bronstein, Jean-Michel Morel, Guillermo Sapiro:
Audio restoration from multiple copies. ICASSP 2013: 878-882 - [c63]Tal Ben Yakar, Roee Litman, Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro:
Bilevel Sparse Models for Polyphonic Music Transcription. ISMIR 2013: 65-70 - [c62]Pablo Sprechmann, Roee Litman, Tal Ben Yakar, Alexander M. Bronstein, Guillermo Sapiro:
Supervised Sparse Analysis and Synthesis Operators. NIPS 2013: 908-916 - 2012
- [c61]Aviad Zabatani, Alexander M. Bronstein:
Parallelized Algorithms for Rigid Surface Alignment on GPU. 3DOR@Eurographics 2012: 17-23 - [c60]Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein, Dan Raviv, Ron Kimmel:
Affine-Invariant Photometric Heat Kernel Signatures. 3DOR@Eurographics 2012: 39-46 - [c59]Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization. 3DOR@Eurographics 2012: 77-84 - [c58]Iasonas Kokkinos, Michael M. Bronstein, Roee Litman, Alexander M. Bronstein:
Intrinsic shape context descriptors for deformable shapes. CVPR 2012: 159-166 - [c57]Emanuele Rodolà, Alexander M. Bronstein, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello:
A game-theoretic approach to deformable shape matching. CVPR 2012: 182-189 - [c56]Or Litany, Alexander M. Bronstein, Michael M. Bronstein:
Putting the Pieces Together: Regularized Multi-part Shape Matching. ECCV Workshops (1) 2012: 1-11 - [c55]Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Xue-Cheng Tai, Ron Kimmel:
Group-Valued Regularization for Analysis of Articulated Motion. ECCV Workshops (1) 2012: 52-62 - [c54]Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein:
Stable Spectral Mesh Filtering. ECCV Workshops (1) 2012: 83-91 - [c53]Michael M. Bronstein, Umberto Castellani, Alexander M. Bronstein:
Diffusion Geometry in Shape Analysis. Eurographics (Tutorials) 2012 - [c52]Raid Saabni, Alex M. Bronstein:
Fast Keyword Searching Using 'BoostMap' Based Embedding. ICFHR 2012: 734-739 - [c51]Alexander M. Bronstein, Pablo Sprechmann, Guillermo Sapiro:
Learning Efficient Structured Sparse Models. ICML 2012 - [c50]Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro:
Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling. ISMIR 2012: 67-72 - 2011
- [c49]Edmond Boyer, Alexander M. Bronstein, Michael M. Bronstein, Benjamin Bustos, Tal Darom, Radu Horaud, Ingrid Hotz, Yosi Keller, Johannes Keustermans, Artiom Kovnatsky, Roee Litman, Jan Reininghaus, Ivan Sipiran, Dirk Smeets, Paul Suetens, Dirk Vandermeulen, Andrei Zaharescu, Valentin Zobel:
SHREC '11: Robust Feature Detection and Description Benchmark. 3DOR@Eurographics 2011: 71-78 - [c48]Dan Raviv, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel, Nir A. Sochen:
Affine-invariant diffusion geometry for the analysis of deformable 3D shapes. CVPR 2011: 2361-2367 - [c47]Raid Saabni, Alex M. Bronstein:
Fast Key-Word Searching via Embedding and Active-DTW. ICDAR 2011: 68-72 - [c46]Fabrice Michel, Michael M. Bronstein, Alexander M. Bronstein, Nikos Paragios:
Boosted metric learning for 3D multi-modal deformable registration. ISBI 2011: 1209-1214 - [c45]Chaohui Wang, Michael M. Bronstein, Alexander M. Bronstein, Nikos Paragios:
Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching. SSVM 2011: 580-591 - [c44]Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein:
A Correspondence-Less Approach to Matching of Deformable Shapes. SSVM 2011: 592-603 - [c43]Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel:
Photometric Heat Kernel Signatures. SSVM 2011: 616-627 - [c42]Amit Hooda, Michael M. Bronstein, Alexander M. Bronstein, Radu Horaud:
Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes. SSVM 2011: 665-676 - [c41]Yonathan Aflalo, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Deformable Shape Retrieval by Learning Diffusion Kernels. SSVM 2011: 689-700 - [c40]Guy Rosman, Michael M. Bronstein, Alexander M. Bronstein, Alon Wolf, Ron Kimmel:
Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes. SSVM 2011: 725-736 - [c39]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen:
Equi-affine Invariant Geometries of Articulated Objects. Theoretical Foundations of Computer Vision 2011: 177-190 - 2010
- [c38]Alexander M. Bronstein, Michael M. Bronstein, Umberto Castellani, Bianca Falcidieno, Andrea Fusiello, Afzal Godil, Leonidas J. Guibas, Iasonas Kokkinos, Zhouhui Lian, Maks Ovsjanikov, Giuseppe Patanè, Michela Spagnuolo, Roberto Toldo:
SHREC'10 Track: Robust Shape Retrieval. 3DOR@Eurographics 2010: 71-78 - [c37]Alexander M. Bronstein, Michael M. Bronstein, Benjamin Bustos, Umberto Castellani, Marco Cristani, Bianca Falcidieno, Leonidas J. Guibas, Iasonas Kokkinos, Vittorio Murino, Maks Ovsjanikov, Giuseppe Patanè, Ivan Sipiran, Michela Spagnuolo, Jian Sun:
SHREC'10 Track: Feature Detection and Description. 3DOR@Eurographics 2010: 79-86 - [c36]Alexander M. Bronstein, Michael M. Bronstein, Umberto Castellani, Anastasia Dubrovina, Leonidas J. Guibas, Radu Horaud, Ron Kimmel, David Knossow, Etienne von Lavante, Diana Mateus, Maks Ovsjanikov, Avinash Sharma:
SHREC'10 Track: Correspondence Finding. 3DOR@Eurographics 2010: 87-91 - [c35]Michael M. Bronstein, Alexander M. Bronstein, Fabrice Michel, Nikos Paragios:
Data fusion through cross-modality metric learning using similarity-sensitive hashing. CVPR 2010: 3594-3601 - [c34]Alexander M. Bronstein, Michael M. Bronstein:
Spatially-Sensitive Affine-Invariant Image Descriptors. ECCV (2) 2010: 197-208 - [c33]Niloy J. Mitra, Alexander M. Bronstein, Michael M. Bronstein:
Intrinsic Regularity Detection in 3D Geometry. ECCV (3) 2010: 398-410 - [c32]Dan Raviv, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel:
Volumetric heat kernel signatures. 3DOR@MM 2010: 39-44 - 2009
- [c31]Yohai S. Devir, Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
On reconstruction of non-rigid shapes with intrinsic regularization. ICCV Workshops 2009: 272-279 - [c30]Maks Ovsjanikov, Alexander M. Bronstein, Michael M. Bronstein, Leonidas J. Guibas:
Shape Google: a computer vision approach to isometry invariant shape retrieval. ICCV Workshops 2009: 320-327 - [c29]O. Rubinstein, Yaron Honen, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
3D-color video camera. ICCV Workshops 2009: 1505-1509 - 2008
- [c28]Alexander M. Bronstein, Michael M. Bronstein:
Not only size matters: Regularized partial matching of nonrigid shapes. CVPR Workshops 2008: 1-6 - [c27]Alexander M. Bronstein, Michael M. Bronstein:
Regularized Partial Matching of Rigid Shapes. ECCV (2) 2008: 143-154 - 2007
- [c26]Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Rock, Paper, and Scissors: extrinsic vs. intrinsic similarity of non-rigid shapes. ICCV 2007: 1-6 - [c25]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Symmetries of non-rigid shapes. ICCV 2007: 1-7 - [c24]Alexander M. Bronstein, Michael M. Bronstein, Alfred M. Bruckstein, Ron Kimmel:
Paretian Similarity for Partial Comparison of Non-rigid Objects. SSVM 2007: 264-275 - 2006
- [c23]Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Facetoface: An Isometric Model for Facial Animation. AMDO 2006: 38-47 - [c22]Alexander M. Bronstein, Michael M. Bronstein, Alfred M. Bruckstein, Ron Kimmel:
Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling. AMDO 2006: 48-57 - [c21]Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Topologically Constrained Isometric Embedding. Human Motion 2006: 243-262 - [c20]Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Robust Expression-Invariant Face Recognition from Partially Missing Data. ECCV (3) 2006: 396-408 - [c19]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky:
On Separation of Semitransparent Dynamic Images from Static Background. ICA 2006: 934-940 - 2005
- [c18]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi:
Blind separation of tissues in multi-modal MRI using Sparse Component Analysis. EUSIPCO 2005: 1-4 - [c17]Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Expression-invariant face recognition via spherical embedding. ICIP (3) 2005: 756-759 - [c16]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi:
"Unmixing" tissues: sparse component analysis in multi-contrast MRI. ICIP (2) 2005: 1282-1285 - [c15]Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Isometric Embedding of Facial Surfaces into. Scale-Space 2005: 622-631 - 2004
- [c14]Alexander M. Bronstein, Michael M. Bronstein, Alon Spira, Ron Kimmel:
Face Recognition from Facial Surface Metric. ECCV (2) 2004: 225-237 - [c13]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky:
Blind Source Separation Using the Block-Coordinate Relative Newton Method. ICA 2004: 406-413 - [c12]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi:
Optimal Sparse Representations for Blind Deconvolution of Images. ICA 2004: 500-507 - [c11]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky:
Blind Deconvolution Using the Relative Newton Method. ICA 2004: 554-561 - [c10]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi:
QML Blind Deconvolution: Asymptotic Analysis. ICA 2004: 677-684 - [c9]Alexander M. Bronstein, Michael M. Bronstein, Eyal Gordon, Ron Kimmel:
Fusion of 2D and 3D data in three-dimensional face recognition. ICIP 2004: 87-90 - [c8]Alexander M. Bronstein, Michael Zibulevsky, Michael M. Bronstein, Yehoshua Y. Zeevi:
Fast relative newton algorithm for blind deconvolution of images. ICIP 2004: 1233-1236 - [c7]Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi:
Optimal sparse representations for blind source separation and blind deconvolution: a learning approach. ICIP 2004: 1815-1818 - [c6]Michael M. Bronstein, Alexander M. Bronstein, Yehoshua Y. Zeevi, Michael Zibulevsky:
Quasi-Maximum Likelihood Blind Deconvolution of Images Acquired Through Scattering Media. ISBI 2004: 352-355 - 2003
- [c5]Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Expression-Invariant 3D Face Recognition. AVBPA 2003: 62-69 - [c4]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi:
Separation of semireflective layers using sparse ICA. ICASSP (3) 2003: 733-736 - [c3]Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi:
Separation of reflections via sparse ICA. ICIP (1) 2003: 313-316 - 2002
- [c2]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi:
Optimal nonlinear estimation of photon coordinates in PET. ISBI 2002: 541-544 - [c1]Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky:
Iterative reconstruction in diffraction tomography using nonuniform fast Fourier transform. ISBI 2002: 633-636
Parts in Books or Collections
- 2016
- [p4]Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro:
Sparse Models for Intrinsic Shape Correspondence. Perspectives in Shape Analysis 2016: 211-230 - 2013
- [p3]Roee Litman, Alexander M. Bronstein, Michael M. Bronstein:
Stable Semi-local Features for Non-rigid Shapes. Innovations for Shape Analysis, Models and Algorithms 2013: 161-189 - [p2]Guy Rosman, Michael M. Bronstein, Alexander M. Bronstein, Alon Wolf, Ron Kimmel:
Group-Valued Regularization for Motion Segmentation of Articulated Shapes. Innovations for Shape Analysis, Models and Algorithms 2013: 263-281 - 2012
- [p1]Alexander M. Bronstein, Michael M. Bronstein, Maks Ovsjanikov:
Feature-Based Methods in 3D Shape Analysis. 3D Imaging, Analysis and Applications 2012: 185-219
Editorship
- 2012
- [e2]Michela Spagnuolo, Michael M. Bronstein, Alexander M. Bronstein, Alfredo Ferreira:
5th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics 2012, Cagliari, Sardinia, Italy, May 13, 2012. Eurographics Association 2012, ISBN 978-3-905674-36-1 [contents] - [e1]Alfred M. Bruckstein, Bart M. ter Haar Romeny, Alexander M. Bronstein, Michael M. Bronstein:
Scale Space and Variational Methods in Computer Vision - Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 - June 2, 2011, Revised Selected Papers. Lecture Notes in Computer Science 6667, Springer 2012, ISBN 978-3-642-24784-2 [contents]
Reference Works
- 2015
- [r1]Alexander M. Bronstein, Michael M. Bronstein:
Manifold Intrinsic Similarity. Handbook of Mathematical Methods in Imaging 2015: 1859-1908
Informal and Other Publications
- 2025
- [i123]Tamir Shor, Ethan Fetaya, Chaim Baskin, Alexander M. Bronstein:
Adversarial Robustness in Parameter-Space Classifiers. CoRR abs/2502.20314 (2025) - [i122]Tamir Shor, Chaim Baskin, Alexander M. Bronstein:
On Adversarial Attacks In Acoustic Drone Localization. CoRR abs/2502.20325 (2025) - [i121]Tamir Shor, Moti Freiman, Chaim Baskin, Alexander M. Bronstein:
T1-PILOT: Optimized Trajectories for T1 Mapping Acceleration. CoRR abs/2502.20333 (2025) - [i120]Dean Zadok, Oren Salzman, Alon Wolf, Alex M. Bronstein:
Smart Ankleband for Plug-and-Play Hand-Prosthetic Control. CoRR abs/2503.17846 (2025) - [i119]Barak Gahtan, Sanketh Vedula, Gil Samuelly Leichtag, Einat Kodesh, Alex M. Bronstein:
From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling. CoRR abs/2505.00101 (2025) - [i118]Meital Bojan, Sanketh Vedula, Sai Advaith Maddipatla, Nadav Bojan Sellam, Federico Napoli, Paul Schanda, Alex M. Bronstein:
Representing local protein environments with atomistic foundation models. CoRR abs/2505.23354 (2025) - 2024
- [i117]Gabriele Serussi, Tamir Shor, Tom Hirshberg, Chaim Baskin, Alex M. Bronstein:
Active propulsion noise shaping for multi-rotor aircraft localization. CoRR abs/2402.17289 (2024) - [i116]Tamir Shor, Chaim Baskin, Alexander M. Bronstein:
Leveraging Latents for Efficient Thermography Classification and Segmentation. CoRR abs/2404.06589 (2024) - [i115]Daniel Freedman, Eyal Rozenberg, Alex M. Bronstein:
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Schrodinger Equation. CoRR abs/2406.00047 (2024) - [i114]Sanketh Vedula, Valentino Maiorca, Lorenzo Basile, Francesco Locatello, Alexander M. Bronstein:
Scalable unsupervised alignment of general metric and non-metric structures. CoRR abs/2406.13507 (2024) - [i113]Tamir Shor, Chaim Baskin, Alexander M. Bronstein:
TEAM PILOT - Learned Feasible Extendable Set of Dynamic MRI Acquisition Trajectories. CoRR abs/2409.12777 (2024) - [i112]Barak Gahtan, Robert J. Sahala, Alex M. Bronstein, Reuven Cohen:
Exploring QUIC Dynamics: A Large-Scale Dataset for Encrypted Traffic Analysis. CoRR abs/2410.03728 (2024) - [i111]Barak Gahtan, Shany Funk, Einat Kodesh, Itay Ketko, Tsvi Kuflik, Alex M. Bronstein:
Automatic Identification and Visualization of Group Training Activities Using Wearable Data. CoRR abs/2410.05452 (2024) - [i110]Barak Gahtan, Robert J. Shahla, Reuven Cohen, Alex M. Bronstein:
Estimating the Number of HTTP/3 Responses in QUIC Using Deep Learning. CoRR abs/2410.06140 (2024) - [i109]Hadas Abraham, Barak Gahtan, Adir Kobovich, Orian Leitersdorf, Alex M. Bronstein, Eitan Yaakobi:
Beyond the Alphabet: Deep Signal Embedding for Enhanced DNA Clustering. CoRR abs/2410.06188 (2024) - [i108]Tsachi Blau, Moshe Kimhi, Yonatan Belinkov, Alexander M. Bronstein, Chaim Baskin:
Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods. CoRR abs/2410.17222 (2024) - [i107]Barak Gahtan, Reuven Cohen, Alex M. Bronstein, Eli Shapira:
Data-Driven Cellular Network Selector for Vehicle Teleoperations. CoRR abs/2410.19791 (2024) - [i106]Elad Amrani, Leonid Karlinsky, Alexander M. Bronstein:
Sample- and Parameter-Efficient Auto-Regressive Image Models. CoRR abs/2411.15648 (2024) - [i105]Sai Advaith Maddipatla, Nadav Bojan Sellam, Sanketh Vedula, Ailie Marx, Alexander M. Bronstein:
Generative modeling of protein ensembles guided by crystallographic electron densities. CoRR abs/2412.13223 (2024) - 2023
- [i104]Tamir Shor, Tomer Weiss, Dor Noti, Alex M. Bronstein:
Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRI. CoRR abs/2303.07150 (2023) - [i103]Tsachi Blau, Roy Ganz, Chaim Baskin, Michael Elad, Alexander M. Bronstein:
Classifier Robustness Enhancement Via Test-Time Transformation. CoRR abs/2303.15409 (2023) - [i102]Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Sarika Mishra, Shashi Prabhakar, Ravindra Pratap Singh, Daniel Freedman, Alex M. Bronstein, Ady Arie:
Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering. CoRR abs/2304.06810 (2023) - [i101]Marco Pegoraro, Sanketh Vedula, Aviv A. Rosenberg, Irene Tallini, Emanuele Rodolà, Alex M. Bronstein:
Vector Quantile Regression on Manifolds. CoRR abs/2307.01037 (2023) - [i100]Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati:
Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. CoRR abs/2311.12314 (2023) - 2022
- [i99]Dean Zadok, Oren Salzman, Alon Wolf, Alex M. Bronstein:
Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation. CoRR abs/2202.05204 (2022) - [i98]Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alex M. Bronstein:
Fast Nonlinear Vector Quantile Regression. CoRR abs/2205.14977 (2022) - [i97]Yaniv Nemcovsky, Matan Yaakoby, Alex M. Bronstein, Chaim Baskin:
Physical Passive Patch Adversarial Attacks on Visual Odometry Systems. CoRR abs/2207.05729 (2022) - [i96]Tsachi Blau, Roy Ganz, Bahjat Kawar, Alex M. Bronstein, Michael Elad:
Threat Model-Agnostic Adversarial Defense using Diffusion Models. CoRR abs/2207.08089 (2022) - [i95]Dan Navon, Alex M. Bronstein:
Random Search Hyper-Parameter Tuning: Expected Improvement Estimation and the Corresponding Lower Bound. CoRR abs/2208.08170 (2022) - [i94]Dan Navon, Alex M. Bronstein:
Transformer Vs. MLP-Mixer Exponential Expressive Gap For NLP Problems. CoRR abs/2208.08191 (2022) - [i93]Barak Gahtan, Reuven Cohen, Alex M. Bronstein, Gil Kedar:
Deep Reinforcement Learning for Scheduling and Power Allocation in a 5G Urban Mesh. CoRR abs/2210.01423 (2022) - [i92]Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller:
Spectral Graph Complexity. CoRR abs/2211.01434 (2022) - 2021
- [i91]Eli Schwartz, Alex M. Bronstein, Raja Giryes:
ISP Distillation. CoRR abs/2101.10203 (2021) - [i90]Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Sivan Trajtenberg-Mills, Daniel Freedman, Alex M. Bronstein, Ady Arie:
Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals. CoRR abs/2102.10344 (2021) - [i89]Elad Amrani, Alex M. Bronstein:
Self-Supervised Classification Network. CoRR abs/2103.10994 (2021) - [i88]Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany:
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels. CoRR abs/2103.13646 (2021) - [i87]Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky:
Detector-Free Weakly Supervised Grounding by Separation. CoRR abs/2104.09829 (2021) - [i86]Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alex M. Bronstein, Davide Mottin, Panagiotis Karras:
GRASP: Graph Alignment through Spectral Signatures. CoRR abs/2106.05729 (2021) - [i85]Tomer Weiss, Nissim Peretz, Sanketh Vedula, Arie Feuer, Alex M. Bronstein:
Joint optimization of system design and reconstruction in MIMO radar imaging. CoRR abs/2110.03218 (2021) - [i84]Nir Diamant, Nitsan Sandor, Alex M. Bronstein:
Delta-GAN-Encoder: Encoding Semantic Changes for Explicit Image Editing, using Few Synthetic Samples. CoRR abs/2111.08419 (2021) - [i83]Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Daniel Freedman, Alex M. Bronstein, Ady Arie:
SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits. CoRR abs/2112.05934 (2021) - 2020
- [i82]Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alexander M. Bronstein, Uri C. Weiser:
Robust Quantization: One Model to Rule Them All. CoRR abs/2002.07686 (2020) - [i81]Evgenii Zheltonozhskii, Chaim Baskin, Yaniv Nemcovsky, Brian Chmiel, Avi Mendelson, Alex M. Bronstein:
Colored Noise Injection for Training Adversarially Robust Neural Networks. CoRR abs/2003.02188 (2020) - [i80]Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex M. Bronstein:
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning. CoRR abs/2003.03186 (2020) - [i79]Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes:
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification. CoRR abs/2003.06798 (2020) - [i78]David Pickup, Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Z. Cheng, Zhouhui Lian, Masaki Aono, A. Ben Hamza, Alexander M. Bronstein, Michael M. Bronstein, S. Bu, Umberto Castellani, S. Cheng, Valeria Garro, Andrea Giachetti, Afzal Godil, Luca Isaia, J. Han, Henry Johan, Long Lai, Bo Li, Chunyuan Li, Haisheng Li, Roee Litman, X. Liu, Z. Liu, Yijuan Lu, Li Sun, Gary K. L. Tam, Atsushi Tatsuma, Jianbo Ye:
Shape retrieval of non-rigid 3d human models. CoRR abs/2003.08763 (2020) - [i77]Amir Livne, Alexander M. Bronstein, Ron Kimmel, Ziv Aviv, Shahaf Grofit:
Do We Need Depth in State-Of-The-Art Face Authentication? CoRR abs/2003.10895 (2020) - [i76]Alex Karbachevsky, Chaim Baskin, Evgenii Zheltonozhskii, Yevgeny Yermolin, Freddy Gabbay, Alex M. Bronstein, Avi Mendelson:
HCM: Hardware-Aware Complexity Metric for Neural Network Architectures. CoRR abs/2004.08906 (2020) - [i75]David H. Silver, Martin Feder, Yael Gold-Zamir, Avital L. Polsky, Shahar Rosentraub, Efrat Shachor, Adi Weinberger, Pavlo Mazur, Valery D. Zukin, Alex M. Bronstein:
Data-Driven Prediction of Embryo Implantation Probability Using IVF Time-lapse Imaging. CoRR abs/2006.01035 (2020) - [i74]Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein:
3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI. CoRR abs/2008.04808 (2020) - [i73]Evgenii Zheltonozhskii, Chaim Baskin, Alex M. Bronstein, Avi Mendelson:
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering. CoRR abs/2008.10312 (2020) - [i72]Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Alex M. Bronstein:
Towards learned optimal q-space sampling in diffusion MRI. CoRR abs/2009.03008 (2020) - [i71]Or Litany, Emanuele Rodolà, Alex M. Bronstein, Michael M. Bronstein, Daniel Cremers:
Non-Rigid Puzzles. CoRR abs/2011.13076 (2020) - [i70]Omer Dahary, Matan Jacoby, Alex M. Bronstein:
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times. CoRR abs/2012.04515 (2020) - [i69]Nir Diamant, Tal Mund, Ohad Menashe, Aviad Zabatani, Alex M. Bronstein:
SimuGAN: Unsupervised forward modeling and optimal design of a LIDAR Camera. CoRR abs/2012.08951 (2020) - 2019
- [i68]Nir Diamant, Dean Zadok, Chaim Baskin, Eli Schwartz, Alexander M. Bronstein:
Beholder-GAN: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level. CoRR abs/1902.02593 (2019) - [i67]Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
LaSO: Label-Set Operations networks for multi-label few-shot learning. CoRR abs/1902.09811 (2019) - [i66]Yochai Zur, Chaim Baskin, Evgenii Zheltonozhskii, Brian Chmiel, Itay Evron, Alexander M. Bronstein, Avi Mendelson:
Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks. CoRR abs/1904.09872 (2019) - [i65]Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Learning Fast Magnetic Resonance Imaging. CoRR abs/1905.09324 (2019) - [i64]Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Self-supervised learning of inverse problem solvers in medical imaging. CoRR abs/1905.09325 (2019) - [i63]Brian Chmiel, Chaim Baskin, Ron Banner, Evgenii Zheltonozhskii, Yevgeny Yermolin, Alex Karbachevsky, Alexander M. Bronstein, Avi Mendelson:
Feature Map Transform Coding for Energy-Efficient CNN Inference. CoRR abs/1905.10830 (2019) - [i62]Elad Amrani, Rami Ben-Ari, Tal Hakim, Alex M. Bronstein:
Toward Self-Supervised Object Detection in Unlabeled Videos. CoRR abs/1905.11137 (2019) - [i61]Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller:
Intrinsic Multi-scale Evaluation of Generative Models. CoRR abs/1905.11141 (2019) - [i60]Eli Schwartz, Leonid Karlinsky, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
Baby steps towards few-shot learning with multiple semantics. CoRR abs/1906.01905 (2019) - [i59]Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà:
Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment. CoRR abs/1906.06226 (2019) - [i58]Tomer Weiss, Ortal Senouf, Sanketh Vedula, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein:
PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI. CoRR abs/1909.05773 (2019) - [i57]Stefan Sommer, Alex M. Bronstein:
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning. CoRR abs/1909.06397 (2019) - [i56]Eyal Rozenberg, Daniel Freedman, Alexander M. Bronstein:
Localization with Limited Annotation. CoRR abs/1909.08842 (2019) - [i55]Chaim Baskin, Brian Chmiel, Evgenii Zheltonozhskii, Ron Banner, Alexander M. Bronstein, Avi Mendelson:
CAT: Compression-Aware Training for bandwidth reduction. CoRR abs/1909.11481 (2019) - [i54]Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alexander M. Bronstein, Avi Mendelson:
Loss Aware Post-training Quantization. CoRR abs/1911.07190 (2019) - [i53]Yaniv Nemcovsky, Evgenii Zheltonozhskii, Chaim Baskin, Brian Chmiel, Alexander M. Bronstein, Avi Mendelson:
Smoothed Inference for Adversarially-Trained Models. CoRR abs/1911.07198 (2019) - [i52]Amit Boyarski, Sanketh Vedula, Alex M. Bronstein:
Deep geometric matrix completion: Are we doing it right? CoRR abs/1911.07255 (2019) - [i51]Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky:
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification. CoRR abs/1912.00412 (2019) - 2018
- [i50]Eli Schwartz, Raja Giryes, Alexander M. Bronstein:
DeepISP: Learning End-to-End Image Processing Pipeline. CoRR abs/1801.06724 (2018) - [i49]Chaim Baskin, Eli Schwartz, Evgenii Zheltonozhskii, Natan Liss, Raja Giryes, Alexander M. Bronstein, Avi Mendelson:
UNIQ: Uniform Noise Injection for the Quantization of Neural Networks. CoRR abs/1804.10969 (2018) - [i48]Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller:
NetLSD: Hearing the Shape of a Graph. CoRR abs/1805.10712 (2018) - [i47]Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Sharathchandra Pankanti, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein:
RepMet: Representative-based metric learning for classification and one-shot object detection. CoRR abs/1806.04728 (2018) - [i46]Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein:
Delta-encoder: an effective sample synthesis method for few-shot object recognition. CoRR abs/1806.04734 (2018) - [i45]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Class-Aware Fully-Convolutional Gaussian and Poisson Denoising. CoRR abs/1808.06562 (2018) - [i44]Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini:
High quality ultrasonic multi-line transmission through deep learning. CoRR abs/1808.07819 (2018) - [i43]Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim:
High frame-rate cardiac ultrasound imaging with deep learning. CoRR abs/1808.07823 (2018) - [i42]Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps Representation on Product Manifolds. CoRR abs/1809.10940 (2018) - [i41]Chaim Baskin, Natan Liss, Yoav Chai, Evgenii Zheltonozhskii, Eli Schwartz, Raja Giryes, Avi Mendelson, Alexander M. Bronstein:
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization. CoRR abs/1810.00162 (2018) - [i40]Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller:
SGR: Self-Supervised Spectral Graph Representation Learning. CoRR abs/1811.06237 (2018) - [i39]Natan Liss, Chaim Baskin, Avi Mendelson, Alexander M. Bronstein, Raja Giryes:
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware. CoRR abs/1811.10869 (2018) - [i38]Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel:
Self-supervised Learning of Dense Shape Correspondence. CoRR abs/1812.02415 (2018) - [i37]Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Learning beamforming in ultrasound imaging. CoRR abs/1812.08043 (2018) - 2017
- [i36]Matthias Vestner, Roee Litman, Emanuele Rodolà, Alexander M. Bronstein, Daniel Cremers:
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space. CoRR abs/1701.00669 (2017) - [i35]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Deep Convolutional Denoising of Low-Light Images. CoRR abs/1701.01687 (2017) - [i34]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Deep Class Aware Denoising. CoRR abs/1701.01698 (2017) - [i33]Or Litany, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein:
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. CoRR abs/1704.08686 (2017) - [i32]Zorah Lähner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers:
Efficient Deformable Shape Correspondence via Kernel Matching. CoRR abs/1707.08991 (2017) - [i31]Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein:
Subspace Least Squares Multidimensional Scaling. CoRR abs/1709.03484 (2017) - [i30]Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Towards CT-quality Ultrasound Imaging using Deep Learning. CoRR abs/1710.06304 (2017) - [i29]Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro:
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks. CoRR abs/1711.08364 (2017) - [i28]Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia:
Deformable Shape Completion with Graph Convolutional Autoencoders. CoRR abs/1712.00268 (2017) - 2016
- [i27]Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro:
Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems. CoRR abs/1605.09232 (2016) - [i26]Matthias Vestner, Roee Litman, Alexander M. Bronstein, Emanuele Rodolà, Daniel Cremers:
Bayesian Inference of Bijective Non-Rigid Shape Correspondence. CoRR abs/1607.03425 (2016) - [i25]Tal Remez, Or Litany, Shachar Yoseff, Harel Haim, Alexander M. Bronstein:
FPGA system for real-time computational extended depth of field imaging using phase aperture coding. CoRR abs/1608.01074 (2016) - [i24]Alexander M. Bronstein, Yoni Choukroun, Ron Kimmel, Matan Sela:
Consistent Discretization and Minimization of the L1 Norm on Manifolds. CoRR abs/1609.05434 (2016) - [i23]Roee Litman, Alexander M. Bronstein:
SpectroMeter: Amortized Sublinear Spectral Approximation of Distance on Graphs. CoRR abs/1609.05715 (2016) - [i22]Or Litany, Tal Remez, Alexander M. Bronstein:
Cloud Dictionary: Sparse Coding and Modeling for Point Clouds. CoRR abs/1612.04956 (2016) - 2015
- [i21]Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein:
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? CoRR abs/1504.08291 (2015) - [i20]Tal Remez, Or Litany, Alexander M. Bronstein:
A Picture is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels. CoRR abs/1510.04601 (2015) - [i19]Or Litany, Tal Remez, Daniel Freedman, Lior Shapira, Alexander M. Bronstein, Ran Gal:
ASIST: Automatic Semantically Invariant Scene Transformation. CoRR abs/1512.01515 (2015) - [i18]Or Litany, Tal Remez, Alexander M. Bronstein:
Image reconstruction from dense binary pixels. CoRR abs/1512.01774 (2015) - 2014
- [i17]Yonathan Aflalo, Alexander M. Bronstein, Ron Kimmel:
Graph matching: relax or not? CoRR abs/1401.7623 (2014) - [i16]Simon Korman, Roee Litman, Shai Avidan, Alexander M. Bronstein:
Probably Approximately Symmetric: Fast 3D Symmetry Detection with Global Guarantees. CoRR abs/1403.6637 (2014) - 2012
- [i15]Alexander M. Bronstein, Pablo Sprechmann, Guillermo Sapiro:
Learning Efficient Structured Sparse Models. CoRR abs/1206.4649 (2012) - [i14]Jonathan Masci, Michael M. Bronstein, Alexander M. Bronstein, Jürgen Schmidhuber:
Multimodal similarity-preserving hashing. CoRR abs/1207.1522 (2012) - [i13]Davide Eynard, Klaus Glashoff, Michael M. Bronstein, Alexander M. Bronstein:
Multimodal diffusion geometry by joint diagonalization of Laplacians. CoRR abs/1209.2295 (2012) - [i12]Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro:
Learning Robust Low-Rank Representations. CoRR abs/1209.6393 (2012) - [i11]Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro:
Sparse Modeling of Intrinsic Correspondences. CoRR abs/1209.6560 (2012) - [i10]Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein, Klaus Glashoff, Ron Kimmel:
Coupled quasi-harmonic bases. CoRR abs/1210.0026 (2012) - [i9]Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro:
Learning efficient sparse and low rank models. CoRR abs/1212.3631 (2012) - 2011
- [i8]Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel:
Diffusion framework for geometric and photometric data fusion in non-rigid shape analysis. CoRR abs/1101.4301 (2011) - [i7]Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein:
A correspondence-less approach to matching of deformable shapes. CoRR abs/1101.5687 (2011) - [i6]Edmond Boyer, Alexander M. Bronstein, Michael M. Bronstein, Benjamin Bustos, Tal Darom, Radu Horaud, Ingrid Hotz, Yosi Keller, Johannes Keustermans, Artiom Kovnatsky, Roee Litman, Jan Reininghaus, Ivan Sipiran, Dirk Smeets, Paul Suetens, Dirk Vandermeulen, Andrei Zaharescu, Valentin Zobel:
SHREC 2011: robust feature detection and description benchmark. CoRR abs/1102.4258 (2011) - [i5]Alexander M. Bronstein:
Spectral descriptors for deformable shapes. CoRR abs/1110.5015 (2011) - 2010
- [i4]Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
The Video Genome. CoRR abs/1003.5320 (2010) - [i3]Roee Litman, Alexander M. Bronstein, Michael M. Bronstein:
Diffusion-geometric maximally stable component detection in deformable shapes. CoRR abs/1012.3951 (2010) - [i2]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen:
Affine-invariant diffusion geometry for the analysis of deformable 3D shapes. CoRR abs/1012.5933 (2010) - [i1]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen:
Affine-invariant geodesic geometry of deformable 3D shapes. CoRR abs/1012.5936 (2010)
Coauthor Index
[b2] [j54] [j50] [j44] [j41] [j40] [j39] [j34] [j33] [j32] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c110] [c99] [c90] [c89] [c88] [c86] [c83] [c82] [c77] [c70] [c69] [c66] [c65] [c60] [c59] [c58] [c56] [c55] [c54] [c53] [c49] [c48] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [p4] [p3] [p2] [p1] [e2] [e1] [r1] [i78] [i71] [i42] [i33] [i32] [i31] [i28] [i14] [i13] [i11] [i10] [i8] [i7] [i6] [i4] [i3] [i2] [i1]
Rogério Feris
aka: Rogério Schmidt Feris
aka: Rogério Schmidt Feris
[b2] [j63] [j54] [j51] [j32] [j29] [j24] [j22] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [c118] [c110] [c109] [c101] [c89] [c81] [c60] [c59] [c55] [c48] [c43] [c41] [c40] [c39] [c36] [c32] [c31] [c29] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c17] [c15] [c14] [c9] [c5] [p2] [i77] [i38] [i32] [i24] [i17] [i10] [i8] [i4] [i2] [i1]
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