Bronstein, Alex

11 publications

WACV 2025 Class-Conditioned Transformation for Enhanced Robust Image Classification Tsachi Blau, Roy Ganz, Chaim Baskin, Michael Elad, Alex Bronstein

CVPR 2025 Sample- and Parameter-Efficient Auto-Regressive Image Models Elad Amrani, Leonid Karlinsky, Alex Bronstein

AISTATS 2024 Vector Quantile Regression on Manifolds Marco Pegoraro, Sanketh Vedula, Aviv A Rosenberg, Irene Tallini, Emanuele Rodola, Alex Bronstein

ECCV 2022 Self-Supervised Classification Network Elad Amrani, Leonid Karlinsky, Alex Bronstein

ICCV 2021 Detector-Free Weakly Supervised Grounding by Separation 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

NeurIPS 2020 Robust Quantization: One Model to Rule Them All Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alex Bronstein, Uri Weiser

ICLR 2020 The Shape of Data: Intrinsic Distance for Data Distributions Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alex Bronstein, Ivan Oseledets, Emmanuel Müller

NeurIPS 2018 Delta-Encoder: An Effective Sample Synthesis Method for Few-Shot Object Recognition Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Abhishek Kumar, Rogerio Feris, Raja Giryes, Alex Bronstein

ECCV 2018 ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks Qiang Qiu, Jose Lezama, Alex Bronstein, Guillermo Sapiro

ICCV 2017 Deep Functional Maps: Structured Prediction for Dense Shape Correspondence Or Litany, Tal Remez, Emanuele Rodola, Alex Bronstein, Michael Bronstein

CVPR 2017 Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space Matthias Vestner, Roee Litman, Emanuele Rodola, Alex Bronstein, Daniel Cremers