Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Leonid Karlinsky

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


  Access Paper or Ask Questions

A Broad Study on the Transferability of Visual Representations with Contrastive Learning


Apr 01, 2021
Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard Radke, Rogerio Feris


  Access Paper or Ask Questions

AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition


Feb 10, 2021
Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogerio Feris

* Accepted to ICLR2021 

  Access Paper or Ask Questions

A Maximal Correlation Approach to Imposing Fairness in Machine Learning


Dec 30, 2020
Joshua Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory Wornell, Leonid Karlinsky, Rogerio Feris

* 9 Pages 4 Figures 

  Access Paper or Ask Questions

Fine-grained Angular Contrastive Learning with Coarse Labels


Dec 07, 2020
Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogerio Feris, Raja Giryes, Leonid Karlinsky


  Access Paper or Ask Questions

OnlineAugment: Online Data Augmentation with Less Domain Knowledge


Aug 22, 2020
Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogerio Feris, Dimitris Metaxas

* ECCV2020 

  Access Paper or Ask Questions

AR-Net: Adaptive Frame Resolution for Efficient Action Recognition


Jul 31, 2020
Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogerio Feris


  Access Paper or Ask Questions

StarNet: towards weakly supervised few-shot detection and explainable few-shot classification


Mar 15, 2020
Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogerio Feris, Alexander Bronstein, Raja Giryes


  Access Paper or Ask Questions

TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification


Mar 14, 2020
Moshe Lichtenstein, Prasanna Sattigeri, Rogerio Feris, Raja Giryes, Leonid Karlinsky


  Access Paper or Ask Questions

A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning


Dec 16, 2019
Yunhui Guo, Noel C. F. Codella, Leonid Karlinsky, John R. Smith, Tajana Rosing, Rogerio Feris


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Baby steps towards few-shot learning with multiple semantics


Jun 05, 2019
Eli Schwartz, Leonid Karlinsky, Rogerio Feris, Raja Giryes, Alex M. Bronstein


  Access Paper or Ask Questions

LaSO: Label-Set Operations networks for multi-label few-shot learning


Feb 26, 2019
Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, Alex M. Bronstein


  Access Paper or Ask Questions

Co-regularized Alignment for Unsupervised Domain Adaptation


Nov 13, 2018
Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogerio Feris, William T. Freeman, Gregory Wornell

* NIPS 2018 accepted version 

  Access Paper or Ask Questions

RepMet: Representative-based metric learning for classification and one-shot object detection


Jun 15, 2018
Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Sharathchandra Pankanti, Rogerio Feris, Abhishek Kumar, Raja Giryes, Alex M. Bronstein


  Access Paper or Ask Questions

Delta-encoder: an effective sample synthesis method for few-shot object recognition


Jun 12, 2018
Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Rogerio Feris, Abhishek Kumar, Raja Giryes, Alex M. Bronstein


  Access Paper or Ask Questions