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Joint optimization of system design and reconstruction in MIMO radar imaging


Oct 07, 2021
Tomer Weiss, Nissim Peretz, Sanketh Vedula, Arie Feuer, Alex Bronstein


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GRASP: Graph Alignment through Spectral Signatures


Jun 11, 2021
Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alex Bronstein, Davide Mottin, Panagiotis Karras

* Accepted to APWeb-WAIM 

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Detector-Free Weakly Supervised Grounding by Separation


Apr 20, 2021
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 Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogerio Feris, Leonid Karlinsky


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Self-Supervised Classification Network


Mar 19, 2021
Elad Amrani, Alex Bronstein


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ISP Distillation


Jan 25, 2021
Eli Schwartz, Alex Bronstein, Raja Giryes


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Non-Rigid Puzzles


Nov 26, 2020
Or Litany, Emanuele RodolĂ , Alex Bronstein, Michael Bronstein, Daniel Cremers

* Computer Graphics Forum, Volume 35, Issue 5, August 2016 

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3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI


Aug 11, 2020
Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alex Bronstein


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Do We Need Depth in State-Of-The-Art Face Authentication?


Mar 24, 2020
Amir Livne, Alex Bronstein, Ron Kimmel, Ziv Aviv, Shahaf Grofit


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Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning


Mar 06, 2020
Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex Bronstein

* 17 pages, 2 figures 

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Robust Quantization: One Model to Rule Them All


Feb 18, 2020
Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yuri Nahshan, Alex Bronstein, Uri Weiser


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MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification


Dec 03, 2019
Sivan Doveh, Eli Schwartz, Chao Xue, Rogerio Feris, Alex Bronstein, Raja Giryes, Leonid Karlinsky


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Deep geometric matrix completion: Are we doing it right?


Nov 17, 2019
Amit Boyarski, Sanketh Vedula, Alex Bronstein


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Localization with Limited Annotation for Chest X-rays


Oct 10, 2019
Eyal Rozenberg, Daniel Freedman, Alex Bronstein


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PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI


Oct 03, 2019
Tomer Weiss, Ortal Senouf, Sanketh Vedula, Oleg Michailovich, Michael Zibulevsky, Alex Bronstein


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Localization with Limited Annotation


Sep 19, 2019
Eyal Rozenberg, Daniel Freedman, Alex Bronstein


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Horizontal Flows and Manifold Stochastics in Geometric Deep Learning


Sep 13, 2019
Stefan Sommer, Alex Bronstein


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Intrinsic Multi-scale Evaluation of Generative Models


May 27, 2019
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alex Bronstein, Ivan Oseledets, Emmanuel MĂŒller


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Toward Self-Supervised Object Detection in Unlabeled Videos


May 27, 2019
Elad Amrani, Rami Ben-Ari, Tal Hakim, Alex Bronstein

* 10 pages, 4 figures 

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Self-supervised learning of inverse problem solvers in medical imaging


May 22, 2019
Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alex Bronstein, Oleg Michailovich, Michael Zibulevsky

* preprint 

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Learning Fast Magnetic Resonance Imaging


May 22, 2019
Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alex Bronstein, Oleg Michailovich, Michael Zibulevsky


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Learning beamforming in ultrasound imaging


Dec 19, 2018
Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alex Bronstein, Oleg Michailovich, Michael Zibulevsky

* Submitted to MIDL 2019 

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Self-supervised Learning of Dense Shape Correspondence


Dec 06, 2018
Oshri Halimi, Or Litany, Emanuele RodolĂ , Alex Bronstein, Ron Kimmel


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SGR: Self-Supervised Spectral Graph Representation Learning


Nov 15, 2018
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alex Bronstein, Emmanuel MĂŒller

* As appeared in KDD Deep Learning Day workshop 

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ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks


Jul 28, 2018
Qiang Qiu, Jose Lezama, Alex Bronstein, Guillermo Sapiro

* Accepted to ECCV 2018 

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Deformable Shape Completion with Graph Convolutional Autoencoders


Apr 03, 2018
Or Litany, Alex Bronstein, Michael Bronstein, Ameesh Makadia

* CVPR 2018 

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Efficient Deformable Shape Correspondence via Kernel Matching


Sep 15, 2017
Zorah LĂ€hner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele RodolĂ , Alex Bronstein, Michael Bronstein, Ron Kimmel, Daniel Cremers

* Accepted for oral presentation at 3DV 2017, including supplementary material 

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Hamiltonian operator for spectral shape analysis


Jun 25, 2017
Yoni Choukroun, Alon Shtern, Alex Bronstein, Ron Kimmel


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Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space


Apr 07, 2017
Matthias Vestner, Roee Litman, Emanuele RodolĂ , Alex Bronstein, Daniel Cremers

* To appear at CVPR 2017 

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