Alexander M. Bronstein

261 papers A* 19A 1B 8Misc 4Journal 138Unranked 82

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adversarial Robustness in Parameter-Space Classifiers. CoRR Tamir Shor, Ethan Fetaya, Chaim Baskin, Alexander M. Bronstein
2025	A*	`conf`	Inverse problems with experiment-guided AlphaFold. ICML Sai Advaith Maddipatla, Nadav Bojan Sellam, Meital Bojan, Sanketh Vedula, Paul Schanda, Ailie Marx, Alexander M. Bronstein
2025	J	`jnl`	On Adversarial Attacks In Acoustic Drone Localization. CoRR Tamir Shor, Chaim Baskin, Alexander M. Bronstein
2025	J	`jnl`	On The Role of K-Space Acquisition in MRI Reconstruction Domain-Generalization. CoRR Mohammed Wattad, Tamir Shor, Alexander M. Bronstein
2025	J	`jnl`	Seek and You Shall Fold. CoRR Nadav Bojan Sellam, Meital Bojan, Paul Schanda, Alexander M. Bronstein
2025	J	`jnl`	T1-PILOT: Optimized Trajectories for T1 Mapping Acceleration. CoRR Tamir Shor, Moti Freiman, Chaim Baskin, Alexander M. Bronstein
2024	J	`jnl`	Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods. CoRR Tsachi Blau, Moshe Kimhi, Yonatan Belinkov, Alexander M. Bronstein, Chaim Baskin
2024	J	`jnl`	Generative modeling of protein ensembles guided by crystallographic electron densities. CoRR Sai Advaith Maddipatla, Nadav Bojan Sellam, Sanketh Vedula, Ailie Marx, Alexander M. Bronstein
2024	J	`jnl`	Leveraging Latents for Efficient Thermography Classification and Segmentation. CoRR Tamir Shor, Chaim Baskin, Alexander M. Bronstein
2024	J	`jnl`	Sample- and Parameter-Efficient Auto-Regressive Image Models. CoRR Elad Amrani, Leonid Karlinsky, Alexander M. Bronstein
2024	J	`jnl`	Scalable unsupervised alignment of general metric and non-metric structures. CoRR Sanketh Vedula, Valentino Maiorca, Lorenzo Basile, Francesco Locatello, Alexander M. Bronstein
2024	J	`jnl`	TEAM PILOT - Learned Feasible Extendable Set of Dynamic MRI Acquisition Trajectories. CoRR Tamir Shor, Chaim Baskin, Alexander M. Bronstein
2023	J	`jnl`	Classifier Robustness Enhancement Via Test-Time Transformation. CoRR Tsachi Blau, Roy Ganz, Chaim Baskin, Michael Elad, Alexander M. Bronstein
2023	A*	`conf`	Fast Nonlinear Vector Quantile Regression. ICLR Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alexander M. Bronstein
2023	J	`jnl`	GRASP: Scalable Graph Alignment by Spectral Corresponding Functions. ACM Trans. Knowl. Discov. Data Judith Hermanns, Konstantinos Skitsas, Anton Tsitsulin, Marina Munkhoeva, Alexander Frederiksen Kyster, Simon Nielsen, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras
2023	—	`conf`	Multi PILOT: Feasible Learned Multiple Acquisition Trajectories For Dynamic MRI. MIDL Tamir Shor, Tomer Weiss, Dor Noti, Alexander M. Bronstein
2022	J	`jnl`	Baby steps towards few-shot learning with multiple semantics. Pattern Recognit. Lett. Eli Schwartz, Leonid Karlinsky, Rogério Feris, Raja Giryes, Alexander M. Bronstein
2022	J	`jnl`	Deep fused two-step cross-modal hashing with multiple semantic supervision. Multim. Tools Appl. Peipei Kang, Zehang Lin, Zhenguo Yang, Alexander M. Bronstein, Qing Li, Wenyin Liu
2022	J	`jnl`	Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval. Appl. Intell. Peipei Kang, Zehang Lin, Zhenguo Yang, Xiaozhao Fang, Alexander M. Bronstein, Qing Li, Wenyin Liu
2022	—	`conf`	Self-Supervised Classification Network. ECCV (31) Elad Amrani, Leonid Karlinsky, Alexander M. Bronstein
2022	J	`jnl`	Spectral Graph Complexity. CoRR Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2021	—	`conf`	GRASP: Graph Alignment Through Spectral Signatures. APWeb/WAIM (1) Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras
2021	—	`conf`	Joint Optimization of System Design and Reconstruction in MIMO Radar Imaging. MLSP Tomer Weiss, Nissim Peretz, Sanketh Vedula, Arie Feuer, Alexander M. Bronstein
2021	J	`jnl`	MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. Pattern Recognit. Lett. Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky
2021	—	`conf`	Spectral Geometric Matrix Completion. MSML Amit Boyarski, Sanketh Vedula, Alexander M. Bronstein
2020	J	`jnl`	3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI. CoRR Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein
2020	J	`jnl`	Do We Need Depth in State-Of-The-Art Face Authentication? CoRR Amir Livne, Alexander M. Bronstein, Ron Kimmel, Ziv Aviv, Shahaf Grofit
2020	J	`jnl`	Generating Adversarial Surfaces via Band-Limited Perturbations. Comput. Graph. Forum Giorgio Mariani, Luca Cosmo, Alexander M. Bronstein, Emanuele Rodolà
2020	J	`jnl`	Hamiltonian Operator for Spectral Shape Analysis. IEEE Trans. Vis. Comput. Graph. Yoni Choukroun, Alon Shtern, Alexander M. Bronstein, Ron Kimmel
2020	J	`jnl`	Intel® RealSense™ SR300 Coded Light Depth Camera. IEEE Trans. Pattern Anal. Mach. Intell. Aviad Zabatani, Vitaly Surazhsky, Erez Sperling, Sagi Ben-Moshe, Ohad Menashe, David H. Silver, Zachi Karni, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2020	Misc	`conf`	Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI. ICASSP Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein
2020	J	`jnl`	Robust Quantization: One Model to Rule Them All. CoRR Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alexander M. Bronstein, Uri C. Weiser
2020	J	`jnl`	Shape retrieval of non-rigid 3d human models. CoRR 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
2020	J	`jnl`	StarNet: towards weakly supervised few-shot detection and explainable few-shot classification. CoRR Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes
2020	A*	`conf`	The Shape of Data: Intrinsic Distance for Data Distributions. ICLR Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller
2019	J	`jnl`	Baby steps towards few-shot learning with multiple semantics. CoRR Eli Schwartz, Leonid Karlinsky, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
2019	J	`jnl`	Beholder-GAN: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level. CoRR Nir Diamant, Dean Zadok, Chaim Baskin, Eli Schwartz, Alexander M. Bronstein
2019	B	`conf`	Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level. ICIP Nir Diamant, Dean Zadok, Chaim Baskin, Eli Schwartz, Alexander M. Bronstein
2019	J	`jnl`	CAT: Compression-Aware Training for bandwidth reduction. CoRR Chaim Baskin, Brian Chmiel, Evgenii Zheltonozhskii, Ron Banner, Alexander M. Bronstein, Avi Mendelson
2019	—	`conf`	Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment. 3DV Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà
2019	J	`jnl`	Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment. CoRR Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà
2019	A	`conf`	DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling. WACV Gautam Pai, Ronen Talmon, Alexander M. Bronstein, Ron Kimmel
2019	J	`jnl`	DeepISP: Toward Learning an End-to-End Image Processing Pipeline. IEEE Trans. Image Process. Eli Schwartz, Raja Giryes, Alexander M. Bronstein
2019	J	`jnl`	Feature Map Transform Coding for Energy-Efficient CNN Inference. CoRR Brian Chmiel, Chaim Baskin, Ron Banner, Evgenii Zheltonozhskii, Yevgeny Yermolin, Alex Karbachevsky, Alexander M. Bronstein, Avi Mendelson
2019	J	`jnl`	Functional Maps Representation On Product Manifolds. Comput. Graph. Forum Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon
2019	J	`jnl`	Intrinsic Multi-scale Evaluation of Generative Models. CoRR Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller
2019	A*	`conf`	LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. CVPR Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
2019	J	`jnl`	LaSO: Label-Set Operations networks for multi-label few-shot learning. CoRR Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
2019	J	`jnl`	Learning Fast Magnetic Resonance Imaging. CoRR Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2019	—	`conf`	Learning beamforming in ultrasound imaging. MIDL Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2019	J	`jnl`	Localization with Limited Annotation. CoRR Eyal Rozenberg, Daniel Freedman, Alexander M. Bronstein
2019	J	`jnl`	Loss Aware Post-training Quantization. CoRR Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alexander M. Bronstein, Avi Mendelson
2019	J	`jnl`	MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification. CoRR Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky
2019	J	`jnl`	PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI. CoRR Tomer Weiss, Ortal Senouf, Sanketh Vedula, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein
2019	A*	`conf`	RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. CVPR Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
2019	—	`conf`	Self-supervised Learning of Inverse Problem Solvers in Medical Imaging. DART/MIL3ID@MICCAI Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2019	J	`jnl`	Self-supervised learning of inverse problem solvers in medical imaging. CoRR Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2019	—	`conf`	Shape Correspondence with Isometric and Non-Isometric Deformations. 3DOR@Eurographics 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
2019	J	`jnl`	Smoothed Inference for Adversarially-Trained Models. CoRR Yaniv Nemcovsky, Evgenii Zheltonozhskii, Chaim Baskin, Brian Chmiel, Alexander M. Bronstein, Avi Mendelson
2019	—	`conf`	Spectral Graph Complexity. WWW (Companion Volume) Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2019	J	`jnl`	Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks. CoRR Yochai Zur, Chaim Baskin, Evgenii Zheltonozhskii, Brian Chmiel, Itay Evron, Alexander M. Bronstein, Avi Mendelson
2019	A*	`conf`	Unsupervised Learning of Dense Shape Correspondence. CVPR Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel
2018	J	`jnl`	Class-Aware Fully Convolutional Gaussian and Poisson Denoising. IEEE Trans. Image Process. Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
2018	J	`jnl`	Class-Aware Fully-Convolutional Gaussian and Poisson Denoising. CoRR Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
2018	J	`jnl`	DeepISP: Learning End-to-End Image Processing Pipeline. CoRR Eli Schwartz, Raja Giryes, Alexander M. Bronstein
2018	A*	`conf`	Deformable Shape Completion With Graph Convolutional Autoencoders. CVPR Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia
2018	A*	`conf`	Delta-encoder: an effective sample synthesis method for few-shot object recognition. NeurIPS Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Abhishek Kumar, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
2018	J	`jnl`	Delta-encoder: an effective sample synthesis method for few-shot object recognition. CoRR Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein
2018	J	`jnl`	Depth Estimation From a Single Image Using Deep Learned Phase Coded Mask. IEEE Trans. Computational Imaging Harel Haim, Shay Elmalem, Raja Giryes, Alexander M. Bronstein, Emanuel Marom
2018	J	`jnl`	Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware. CoRR Natan Liss, Chaim Baskin, Avi Mendelson, Alexander M. Bronstein, Raja Giryes
2018	—	`conf`	ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks. ECCV (2) Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro
2018	J	`jnl`	Functional Maps Representation on Product Manifolds. CoRR Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon
2018	—	`conf`	Geometry and Learning in 3D Shape Processing Problems. VISIGRAPP Alexander M. Bronstein
2018	—	`conf`	High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning. MICCAI (1) Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim
2018	—	`conf`	High Quality Ultrasonic Multi-line Transmission Through Deep Learning. MLMIR@MICCAI Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini
2018	J	`jnl`	High frame-rate cardiac ultrasound imaging with deep learning. CoRR Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim
2018	J	`jnl`	High quality ultrasonic multi-line transmission through deep learning. CoRR Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini
2018	J	`jnl`	Learning beamforming in ultrasound imaging. CoRR Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2018	J	`jnl`	NICE: Noise Injection and Clamping Estimation for Neural Network Quantization. CoRR Chaim Baskin, Natan Liss, Yoav Chai, Evgenii Zheltonozhskii, Eli Schwartz, Raja Giryes, Avi Mendelson, Alexander M. Bronstein
2018	A*	`conf`	NetLSD: Hearing the Shape of a Graph. KDD Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2018	J	`jnl`	NetLSD: Hearing the Shape of a Graph. CoRR Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2018	J	`jnl`	RepMet: Representative-based metric learning for classification and one-shot object detection. CoRR Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Sharathchandra Pankanti, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein
2018	J	`jnl`	SGR: Self-Supervised Spectral Graph Representation Learning. CoRR Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2018	J	`jnl`	Self-supervised Learning of Dense Shape Correspondence. CoRR Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel
2018	—	`conf`	Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform. IPDPS Workshops Chaim Baskin, Natan Liss, Evgenii Zheltonozhskii, Alexander M. Bronstein, Avi Mendelson
2018	Misc	`conf`	The Learned Inexact Project Gradient Descent Algorithm. ICASSP Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro
2018	J	`jnl`	Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems. IEEE Trans. Signal Process. Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro
2018	J	`jnl`	UNIQ: Uniform Noise Injection for the Quantization of Neural Networks. CoRR Chaim Baskin, Eli Schwartz, Evgenii Zheltonozhskii, Natan Liss, Raja Giryes, Alexander M. Bronstein, Avi Mendelson
2017	J	`jnl`	ASIST: Automatic semantically invariant scene transformation. Comput. Vis. Image Underst. Or Litany, Tal Remez, Daniel Freedman, Lior Shapira, Alexander M. Bronstein, Ran Gal
2017	—	`conf`	Computing and processing correspondences with functional maps. SIGGRAPH Courses Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein
2017	J	`jnl`	Deep Class Aware Denoising. CoRR Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
2017	J	`jnl`	Deep Convolutional Denoising of Low-Light Images. CoRR Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
2017	A*	`conf`	Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. ICCV Or Litany, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein
2017	J	`jnl`	Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. CoRR Or Litany, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein
2017	B	`conf`	Deep class-aware image denoising. ICIP Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
2017	J	`jnl`	Deformable Shape Completion with Graph Convolutional Autoencoders. CoRR Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia
2017	—	`conf`	Deformable Shape Retrieval with Missing Parts. 3DOR@Eurographics 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
2017	—	`conf`	Efficient Deformable Shape Correspondence via Kernel Matching. 3DV Matthias Vestner, Zorah Lähner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers
2017	J	`jnl`	Efficient Deformable Shape Correspondence via Kernel Matching. CoRR Zorah Lähner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers
2017	J	`jnl`	ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks. CoRR Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro
2017	J	`jnl`	Fully Spectral Partial Shape Matching. Comput. Graph. Forum Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein
2017	J	`jnl`	Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space. CoRR Matthias Vestner, Roee Litman, Emanuele Rodolà, Alexander M. Bronstein, Daniel Cremers
2017	A*	`conf`	Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space. CVPR Matthias Vestner, Roee Litman, Emanuele Rodolà, Alexander M. Bronstein, Daniel Cremers
2017	—	`conf`	Subspace Least Squares Multidimensional Scaling. SSVM Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein
2017	J	`jnl`	Subspace Least Squares Multidimensional Scaling. CoRR Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein
2017	J	`jnl`	Towards CT-quality Ultrasound Imaging using Deep Learning. CoRR Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2017	—	`conf`	White Matter Fiber Representation Using Continuous Dictionary Learning. MICCAI (1) Guy Alexandroni, Yana Podolsky, Hayit Greenspan, Tal Remez, Or Litany, Alexander M. Bronstein, Raja Giryes
2016	B	`conf`	A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels. ICCP Tal Remez, Or Litany, Alexander M. Bronstein
2016	J	`jnl`	Bayesian Inference of Bijective Non-Rigid Shape Correspondence. CoRR Matthias Vestner, Roee Litman, Alexander M. Bronstein, Emanuele Rodolà, Daniel Cremers
2016	J	`jnl`	Cloud Dictionary: Sparse Coding and Modeling for Point Clouds. CoRR Or Litany, Tal Remez, Alexander M. Bronstein
2016	—	`conf`	Computing and processing correspondences with functional maps. SIGGRAPH ASIA Courses Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein
2016	—	`conf`	Consistent Discretization and Minimization of the L1 Norm on Manifolds. 3DV Alexander M. Bronstein, Yoni Choukroun, Ron Kimmel, Matan Sela
2016	J	`jnl`	Consistent Discretization and Minimization of the L1 Norm on Manifolds. CoRR Alexander M. Bronstein, Yoni Choukroun, Ron Kimmel, Matan Sela
2016	J	`jnl`	Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? IEEE Trans. Signal Process. Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein
2016	J	`jnl`	FPGA system for real-time computational extended depth of field imaging using phase aperture coding. CoRR Tal Remez, Or Litany, Shachar Yoseff, Harel Haim, Alexander M. Bronstein
2016	J	`jnl`	Low-cost Gaze and Pulse Analysis using RealSense. EAI Endorsed Trans. Ambient Syst. Qiang Qiu, Zhuoqing Chang, Mark Draelos, Jie Chen, Alexander M. Bronstein, Guillermo Sapiro
2016	J	`jnl`	Non-Rigid Puzzles. Comput. Graph. Forum Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers
2016	—	`conf`	RealSense = real heart rate: Illumination invariant heart rate estimation from videos. IPTA Jie Chen, Zhuoqing Chang, Qiang Qiu, Xiaobai Li, Guillermo Sapiro, Alexander M. Bronstein, Matti Pietikäinen
2016	J	`jnl`	Recent Trends, Applications, and Perspectives in 3D Shape Similarity Assessment. Comput. Graph. Forum Silvia Biasotti, Andrea Cerri, Alexander M. Bronstein, Michael M. Bronstein
2016	J	`jnl`	Shape Retrieval of Non-rigid 3D Human Models. Int. J. Comput. Vis. 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
2016	—	`ch.`	Sparse Models for Intrinsic Shape Correspondence. Perspectives in Shape Analysis Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
2016	—	`conf`	SpectroMeter: Amortized Sublinear Spectral Approximation of Distance on Graphs. 3DV Roee Litman, Alexander M. Bronstein
2016	J	`jnl`	SpectroMeter: Amortized Sublinear Spectral Approximation of Distance on Graphs. CoRR Roee Litman, Alexander M. Bronstein
2016	J	`jnl`	Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems. CoRR Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro
2015	J	`jnl`	A Picture is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels. CoRR Tal Remez, Or Litany, Alexander M. Bronstein
2015	J	`jnl`	ASIST: Automatic Semantically Invariant Scene Transformation. CoRR Or Litany, Tal Remez, Daniel Freedman, Lior Shapira, Alexander M. Bronstein, Ran Gal
2015	J	`jnl`	Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? CoRR Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein
2015	J	`jnl`	Image reconstruction from dense binary pixels. CoRR Or Litany, Tal Remez, Alexander M. Bronstein
2015	B	`conf`	Intel realsense = Real low cost gaze. ICIP Mark Draelos, Qiang Qiu, Alexander M. Bronstein, Guillermo Sapiro
2015	A*	`conf`	Inverting RANSAC: Global model detection via inlier rate estimation. CVPR Roee Litman, Simon Korman, Alexander M. Bronstein, Shai Avidan
2015	J	`jnl`	Learning Efficient Sparse and Low Rank Models. IEEE Trans. Pattern Anal. Mach. Intell. Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
2015	—	`ch.`	Manifold Intrinsic Similarity. Handbook of Mathematical Methods in Imaging Alexander M. Bronstein, Michael M. Bronstein
2015	J	`jnl`	Multimodal Manifold Analysis by Simultaneous Diagonalization of Laplacians. IEEE Trans. Pattern Anal. Mach. Intell. Davide Eynard, Artiom Kovnatsky, Michael M. Bronstein, Klaus Glashoff, Alexander M. Bronstein
2015	—	`conf`	On the Stability of Deep Networks. ICLR (Workshop) Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein
2015	J	`jnl`	Probably Approximately Symmetric: Fast Rigid Symmetry Detection With Global Guarantees. Comput. Graph. Forum Simon Korman, Roee Litman, Shai Avidan, Alexander M. Bronstein
2015	—	`conf`	Random Forests Can Hash. ICLR (Workshop) Qiang Qiu, Guillermo Sapiro, Alexander M. Bronstein
2015	—	`conf`	Scalability of Non-Rigid 3D Shape Retrieval. 3DOR@Eurographics Ivan Sipiran, Benjamin Bustos, Tobias Schreck, Alexander M. Bronstein, Sungbin Choi, Long Lai, Haisheng Li, Roee Litman, Li Sun
2014	J	`jnl`	Equi-affine Invariant Geometry for Shape Analysis. J. Math. Imaging Vis. Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Dan Waisman, Nir A. Sochen, Ron Kimmel
2014	J	`jnl`	Graph matching: relax or not? CoRR Yonathan Aflalo, Alexander M. Bronstein, Ron Kimmel
2014	J	`jnl`	Learning Spectral Descriptors for Deformable Shape Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. Roee Litman, Alexander M. Bronstein
2014	J	`jnl`	Multimodal Similarity-Preserving Hashing. IEEE Trans. Pattern Anal. Mach. Intell. Jonathan Masci, Michael M. Bronstein, Alexander M. Bronstein, Jürgen Schmidhuber
2014	J	`jnl`	Probably Approximately Symmetric: Fast 3D Symmetry Detection with Global Guarantees. CoRR Simon Korman, Roee Litman, Shai Avidan, Alexander M. Bronstein
2014	—	`conf`	Quantifying 3D Shape Similarity Using Maps: Recent Trends, Applications and Perspectives. Eurographics (State of the Art Reports) Silvia Biasotti, Andrea Cerri, Alexander M. Bronstein, Michael M. Bronstein
2014	B	`conf`	Real-time compressed imaging of scattering volumes. ICIP Ohad Menashe, Alexander M. Bronstein
2014	—	`conf`	Shape Retrieval of Non-Rigid 3D Human Models. 3DOR@Eurographics 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
2014	—	`conf`	Sparse similarity-preserving hashing. ICLR Jonathan Masci, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
2014	J	`jnl`	Supervised learning of bag-of-features shape descriptors using sparse coding. Comput. Graph. Forum Roee Litman, Alexander M. Bronstein, Michael M. Bronstein, Umberto Castellani
2014	—	`conf`	Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement. HSCMA Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
2013	Misc	`conf`	Audio restoration from multiple copies. ICASSP Pablo Sprechmann, Alexander M. Bronstein, Jean-Michel Morel, Guillermo Sapiro
2013	—	`conf`	Bilevel Sparse Models for Polyphonic Music Transcription. ISMIR Tal Ben Yakar, Roee Litman, Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
2013	J	`jnl`	Coupled quasi-harmonic bases. Comput. Graph. Forum Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein, Klaus Glashoff, Ron Kimmel
2013	—	`ch.`	Group-Valued Regularization for Motion Segmentation of Articulated Shapes. Innovations for Shape Analysis, Models and Algorithms Guy Rosman, Michael M. Bronstein, Alexander M. Bronstein, Alon Wolf, Ron Kimmel
2013	Misc	`conf`	Learnable low rank sparse models for speech denoising. ICASSP Pablo Sprechmann, Alexander M. Bronstein, Michael M. Bronstein, Guillermo Sapiro
2013	J	`jnl`	Sparse Modeling of Intrinsic Correspondences. Comput. Graph. Forum Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
2013	—	`ch.`	Stable Semi-local Features for Non-rigid Shapes. Innovations for Shape Analysis, Models and Algorithms Roee Litman, Alexander M. Bronstein, Michael M. Bronstein
2013	—	`conf`	Supervised Sparse Analysis and Synthesis Operators. NIPS Pablo Sprechmann, Roee Litman, Tal Ben Yakar, Alexander M. Bronstein, Guillermo Sapiro
2012	—	`ed.`	5th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics 2012, Cagliari, Sardinia, Italy, May 13, 2012 3DOR@Eurographics Michela Spagnuolo, Michael M. Bronstein, Alexander M. Bronstein, Alfredo Ferreira
2012	A*	`conf`	A game-theoretic approach to deformable shape matching. CVPR Emanuele Rodolà, Alexander M. Bronstein, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello
2012	—	`conf`	Affine-Invariant Photometric Heat Kernel Signatures. 3DOR@Eurographics Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein, Dan Raviv, Ron Kimmel
2012	—	`conf`	Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization. 3DOR@Eurographics Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2012	—	`conf`	Diffusion Geometry in Shape Analysis. Eurographics (Tutorials) Michael M. Bronstein, Umberto Castellani, Alexander M. Bronstein
2012	—	`ch.`	Feature-Based Methods in 3D Shape Analysis. 3D Imaging, Analysis and Applications Alexander M. Bronstein, Michael M. Bronstein, Maks Ovsjanikov
2012	—	`conf`	Group-Valued Regularization for Analysis of Articulated Motion. ECCV Workshops (1) Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Xue-Cheng Tai, Ron Kimmel
2012	A*	`conf`	Intrinsic shape context descriptors for deformable shapes. CVPR Iasonas Kokkinos, Michael M. Bronstein, Roee Litman, Alexander M. Bronstein
2012	J	`jnl`	LDAHash: Improved Matching with Smaller Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. Christoph Strecha, Alexander M. Bronstein, Michael M. Bronstein, Pascal Fua
2012	J	`jnl`	Learning Efficient Structured Sparse Models CoRR Alexander M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
2012	A*	`conf`	Learning Efficient Structured Sparse Models. ICML Alexander M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
2012	J	`jnl`	Learning Robust Low-Rank Representations CoRR Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
2012	J	`jnl`	Learning efficient sparse and low rank models CoRR Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
2012	J	`jnl`	Multimodal diffusion geometry by joint diagonalization of Laplacians CoRR Davide Eynard, Klaus Glashoff, Michael M. Bronstein, Alexander M. Bronstein
2012	J	`jnl`	Multimodal similarity-preserving hashing CoRR Jonathan Masci, Michael M. Bronstein, Alexander M. Bronstein, Jürgen Schmidhuber
2012	—	`conf`	Parallelized Algorithms for Rigid Surface Alignment on GPU. 3DOR@Eurographics Aviad Zabatani, Alexander M. Bronstein
2012	—	`conf`	Putting the Pieces Together: Regularized Multi-part Shape Matching. ECCV Workshops (1) Or Litany, Alexander M. Bronstein, Michael M. Bronstein
2012	—	`conf`	Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling. ISMIR Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
2012	—	`ed.`	Scale Space and Variational Methods in Computer Vision - Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 - June 2, 2011, Revised Selected Papers SSVM Alfred M. Bruckstein, Bart M. ter Haar Romeny, Alexander M. Bronstein, Michael M. Bronstein
2012	J	`jnl`	Sparse Modeling of Intrinsic Correspondences CoRR Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
2012	—	`conf`	Stable Spectral Mesh Filtering. ECCV Workshops (1) Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein
2012	J	`jnl`	Stable volumetric features in deformable shapes. Comput. Graph. Roee Litman, Alexander M. Bronstein, Michael M. Bronstein
2011	—	`conf`	A Correspondence-Less Approach to Matching of Deformable Shapes. SSVM Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein
2011	J	`jnl`	A correspondence-less approach to matching of deformable shapes CoRR Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein
2011	A*	`conf`	Affine-invariant diffusion geometry for the analysis of deformable 3D shapes. CVPR Dan Raviv, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel, Nir A. Sochen
2011	J	`jnl`	Affine-invariant geodesic geometry of deformable 3D shapes. Comput. Graph. Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen
2011	J	`jnl`	Are MSER Features Really Interesting? IEEE Trans. Pattern Anal. Mach. Intell. Ron Kimmel, Cuiping Zhang, Alexander M. Bronstein, Michael M. Bronstein
2011	—	`conf`	Boosted metric learning for 3D multi-modal deformable registration. ISBI Fabrice Michel, Michael M. Bronstein, Alexander M. Bronstein, Nikos Paragios
2011	—	`conf`	Deformable Shape Retrieval by Learning Diffusion Kernels. SSVM Yonathan Aflalo, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2011	J	`jnl`	Diffusion framework for geometric and photometric data fusion in non-rigid shape analysis CoRR Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel
2011	J	`jnl`	Diffusion-geometric maximally stable component detection in deformable shapes. Comput. Graph. Roee Litman, Alexander M. Bronstein, Michael M. Bronstein
2011	—	`conf`	Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching. SSVM Chaohui Wang, Michael M. Bronstein, Alexander M. Bronstein, Nikos Paragios
2011	—	`conf`	Equi-affine Invariant Geometries of Articulated Objects. Theoretical Foundations of Computer Vision Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen
2011	—	`conf`	Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes. SSVM Guy Rosman, Michael M. Bronstein, Alexander M. Bronstein, Alon Wolf, Ron Kimmel
2011	—	`conf`	Photometric Heat Kernel Signatures. SSVM Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel
2011	—	`conf`	SHREC '11: Robust Feature Detection and Description Benchmark. 3DOR@Eurographics 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
2011	J	`jnl`	SHREC 2011: robust feature detection and description benchmark CoRR 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
2011	—	`conf`	Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes. SSVM Amit Hooda, Michael M. Bronstein, Alexander M. Bronstein, Radu Horaud
2011	J	`jnl`	Shape Recognition with Spectral Distances. IEEE Trans. Pattern Anal. Mach. Intell. Michael M. Bronstein, Alexander M. Bronstein
2011	J	`jnl`	Shape google: Geometric words and expressions for invariant shape retrieval. ACM Trans. Graph. Alexander M. Bronstein, Michael M. Bronstein, Leonidas J. Guibas, Maks Ovsjanikov
2011	J	`jnl`	Spectral descriptors for deformable shapes CoRR Alexander M. Bronstein
2010	J	`jnl`	A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching. Int. J. Comput. Vis. Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Mona Mahmoudi, Guillermo Sapiro
2010	J	`jnl`	Affine-invariant diffusion geometry for the analysis of deformable 3D shapes CoRR Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen
2010	J	`jnl`	Affine-invariant geodesic geometry of deformable 3D shapes CoRR Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen
2010	A*	`conf`	Data fusion through cross-modality metric learning using similarity-sensitive hashing. CVPR Michael M. Bronstein, Alexander M. Bronstein, Fabrice Michel, Nikos Paragios
2010	J	`jnl`	Diffusion-geometric maximally stable component detection in deformable shapes CoRR Roee Litman, Alexander M. Bronstein, Michael M. Bronstein
2010	J	`jnl`	Full and Partial Symmetries of Non-rigid Shapes. Int. J. Comput. Vis. Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2010	—	`conf`	Intrinsic Regularity Detection in 3D Geometry. ECCV (3) Niloy J. Mitra, Alexander M. Bronstein, Michael M. Bronstein
2010	J	`jnl`	Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding. Int. J. Comput. Vis. Guy Rosman, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel
2010	—	`conf`	SHREC'10 Track: Correspondence Finding. 3DOR@Eurographics 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
2010	—	`conf`	SHREC'10 Track: Feature Detection and Description. 3DOR@Eurographics 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
2010	—	`conf`	SHREC'10 Track: Robust Shape Retrieval. 3DOR@Eurographics 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
2010	—	`conf`	Spatially-Sensitive Affine-Invariant Image Descriptors. ECCV (2) Alexander M. Bronstein, Michael M. Bronstein
2010	J	`jnl`	The Video Genome CoRR Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2010	—	`conf`	Volumetric heat kernel signatures. 3DOR@MM Dan Raviv, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel
2009	—	`conf`	3D-color video camera. ICCV Workshops O. Rubinstein, Yaron Honen, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2009	—	`book`	Numerical Geometry of Non-Rigid Shapes Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2009	—	`conf`	On reconstruction of non-rigid shapes with intrinsic regularization. ICCV Workshops Yohai S. Devir, Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2009	J	`jnl`	Partial Similarity of Objects, or How to Compare a Centaur to a Horse. Int. J. Comput. Vis. Alexander M. Bronstein, Michael M. Bronstein, Alfred M. Bruckstein, Ron Kimmel
2009	J	`jnl`	Partial Similarity of Shapes Using a Statistical Significance Measure. IPSJ Trans. Comput. Vis. Appl. Alexander M. Bronstein, Michael M. Bronstein, Yair Carmon, Ron Kimmel
2009	—	`conf`	Shape Google: a computer vision approach to isometry invariant shape retrieval. ICCV Workshops Maks Ovsjanikov, Alexander M. Bronstein, Michael M. Bronstein, Leonidas J. Guibas
2009	J	`jnl`	Topology-Invariant Similarity of Nonrigid Shapes. Int. J. Comput. Vis. Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2008	J	`jnl`	Analysis of Two-Dimensional Non-Rigid Shapes. Int. J. Comput. Vis. Alexander M. Bronstein, Michael M. Bronstein, Alfred M. Bruckstein, Ron Kimmel
2008	—	`conf`	Not only size matters: Regularized partial matching of nonrigid shapes. CVPR Workshops Alexander M. Bronstein, Michael M. Bronstein
2008	J	`jnl`	Parallel algorithms for approximation of distance maps on parametric surfaces. ACM Trans. Graph. Ofir Weber, Yohai S. Devir, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2008	—	`conf`	Regularized Partial Matching of Rigid Shapes. ECCV (2) Alexander M. Bronstein, Michael M. Bronstein
2007	J	`jnl`	Calculus of Nonrigid Surfaces for Geometry and Texture Manipulation. IEEE Trans. Vis. Comput. Graph. Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2007	J	`jnl`	Expression-Invariant Representations of Faces. IEEE Trans. Image Process. Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2007	—	`—`	Numerical geometry of non-rigid objects: embedding problems. Alexander M. Bronstein
2007	—	`conf`	Paretian Similarity for Partial Comparison of Non-rigid Objects. SSVM Alexander M. Bronstein, Michael M. Bronstein, Alfred M. Bruckstein, Ron Kimmel
2007	A*	`conf`	Rock, Paper, and Scissors: extrinsic vs. intrinsic similarity of non-rigid shapes. ICCV Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2007	A*	`conf`	Symmetries of non-rigid shapes. ICCV Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2007	J	`jnl`	Weighted distance maps computation on parametric three-dimensional manifolds. J. Comput. Phys. Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2006	J	`jnl`	Efficient Computation of Isometry-Invariant Distances Between Surfaces. SIAM J. Sci. Comput. Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2006	—	`conf`	Facetoface: An Isometric Model for Facial Animation. AMDO Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2006	—	`conf`	Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling. AMDO Alexander M. Bronstein, Michael M. Bronstein, Alfred M. Bruckstein, Ron Kimmel
2006	J	`jnl`	Multigrid multidimensional scaling. Numer. Linear Algebra Appl. Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel, Irad Yavneh
2006	—	`conf`	On Separation of Semitransparent Dynamic Images from Static Background. ICA Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
2006	—	`conf`	Robust Expression-Invariant Face Recognition from Partially Missing Data. ECCV (3) Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2006	—	`conf`	Topologically Constrained Isometric Embedding. Human Motion Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2005	—	`conf`	"Unmixing" tissues: sparse component analysis in multi-contrast MRI. ICIP (2) Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2005	J	`jnl`	Blind deconvolution of images using optimal sparse representations. IEEE Trans. Image Process. Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2005	—	`conf`	Blind separation of tissues in multi-modal MRI using Sparse Component Analysis. EUSIPCO Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2005	—	`conf`	Expression-invariant face recognition via spherical embedding. ICIP (3) Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2005	—	`conf`	Isometric Embedding of Facial Surfaces into. Scale-Space Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2005	J	`jnl`	Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency. IEEE Trans. Signal Process. Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
2005	J	`jnl`	Relative optimization for blind deconvolution. IEEE Trans. Signal Process. Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
2005	J	`jnl`	Sparse ICA for blind separation of transmitted and reflected images. Int. J. Imaging Syst. Technol. Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2005	J	`jnl`	Three-Dimensional Face Recognition. Int. J. Comput. Vis. Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2004	—	`conf`	Blind Deconvolution Using the Relative Newton Method. ICA Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
2004	—	`conf`	Blind Source Separation Using the Block-Coordinate Relative Newton Method. ICA Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
2004	J	`jnl`	Blind source separation using block-coordinate relative Newton method. Signal Process. Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
2004	—	`conf`	Face Recognition from Facial Surface Metric. ECCV (2) Alexander M. Bronstein, Michael M. Bronstein, Alon Spira, Ron Kimmel
2004	B	`conf`	Fast relative newton algorithm for blind deconvolution of images. ICIP Alexander M. Bronstein, Michael Zibulevsky, Michael M. Bronstein, Yehoshua Y. Zeevi
2004	B	`conf`	Fusion of 2D and 3D data in three-dimensional face recognition. ICIP Alexander M. Bronstein, Michael M. Bronstein, Eyal Gordon, Ron Kimmel
2004	—	`conf`	Optimal Sparse Representations for Blind Deconvolution of Images. ICA Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2004	B	`conf`	Optimal sparse representations for blind source separation and blind deconvolution: a learning approach. ICIP Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2004	—	`conf`	QML Blind Deconvolution: Asymptotic Analysis. ICA Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2004	—	`conf`	Quasi-Maximum Likelihood Blind Deconvolution of Images Acquired Through Scattering Media. ISBI Michael M. Bronstein, Alexander M. Bronstein, Yehoshua Y. Zeevi, Michael Zibulevsky
2003	—	`conf`	Expression-Invariant 3D Face Recognition. AVBPA Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2003	—	`conf`	Separation of reflections via sparse ICA. ICIP (1) Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2003	—	`conf`	Separation of semireflective layers using sparse ICA. ICASSP (3) Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2002	—	`conf`	Iterative reconstruction in diffraction tomography using nonuniform fast Fourier transform. ISBI Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky
2002	—	`conf`	Optimal nonlinear estimation of photon coordinates in PET. ISBI Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2002	J	`jnl`	Reconstruction in Diffraction Ultrasound Tomography Using Non-Uniform FFT. IEEE Trans. Medical Imaging Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Haim Azhari