| Asymmetric loss for multi-label classification T Ridnik, E Ben-Baruch, N Zamir, A Noy, I Friedman, M Protter, ... Proceedings of the IEEE/CVF international conference on computer vision, 82-91, 2021 | 302 | 2021 |
| Tresnet: High performance gpu-dedicated architecture T Ridnik, H Lawen, A Noy, E Ben Baruch, G Sharir, I Friedman proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 224 | 2021 |
| Graph embedded pose clustering for anomaly detection A Markovitz, G Sharir, I Friedman, L Zelnik-Manor, S Avidan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 164 | 2020 |
| Asymmetric loss for multi-label classification E Ben-Baruch, T Ridnik, N Zamir, A Noy, I Friedman, M Protter, ... arXiv preprint arXiv:2009.14119, 2020 | 150 | 2020 |
| Xnas: Neural architecture search with expert advice N Nayman, A Noy, T Ridnik, I Friedman, R Jin, L Zelnik Advances in neural information processing systems 32, 2019 | 137 | 2019 |
| Asap: Architecture search, anneal and prune A Noy, N Nayman, T Ridnik, N Zamir, S Doveh, I Friedman, R Giryes, ... International conference on artificial intelligence and statistics, 493-503, 2020 | 104 | 2020 |
| Knapsack pruning with inner distillation Y Aflalo, A Noy, M Lin, I Friedman, L Zelnik arXiv preprint arXiv:2002.08258, 2020 | 37 | 2020 |
| Readable matrix code I Friedman, N Alva, U Peled US Patent 8,978,989, 2015 | 36 | 2015 |
| Multi-label classification with partial annotations using class-aware selective loss E Ben-Baruch, T Ridnik, I Friedman, A Ben-Cohen, N Zamir, A Noy, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 32 | 2022 |
| Semantic diversity learning for zero-shot multi-label classification A Ben-Cohen, N Zamir, E Ben-Baruch, I Friedman, L Zelnik-Manor Proceedings of the IEEE/CVF International Conference on Computer Vision, 640-650, 2021 | 29 | 2021 |
| Attention network robustification for person ReID H Lawen, A Ben-Cohen, M Protter, I Friedman, L Zelnik-Manor arXiv preprint arXiv:1910.07038, 2019 | 15 | 2019 |
| Image mask providing a machine-readable data matrix code I Friedman, N Alva, U Peled US Patent App. 14/410,322, 2015 | 15 | 2015 |
| Video object segmentation using tracked object proposals G Sharir, E Smolyansky, I Friedman arXiv preprint arXiv:1707.06545, 2017 | 10 | 2017 |
| Compact network training for person reid H Lawen, A Ben-Cohen, M Protter, I Friedman, L Zelnik-Manor Proceedings of the 2020 International Conference on Multimedia Retrieval …, 2020 | 9 | 2020 |
| Machine-readable image encoding data I Friedman US Patent 10,885,411, 2021 | 8 | 2021 |
| Icon scanning: Towards next generation QR codes I Friedman, L Zelnik-Manor 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1130-1137, 2012 | 8 | 2012 |
| Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering T Ridnik, D Kredo, I Friedman arXiv preprint arXiv:2401.08500, 2024 | 6 | 2024 |
| Machine readable visual codes encoding multiple messages I Friedman US Patent 10,282,648, 2019 | 2 | 2019 |
| Readable matrix code I Friedman, N Alva, U Peled US Patent 9,390,357, 2016 | 2 | 2016 |
| Readable matrix code I Friedman, N Alva, U Peled US Patent 9,239,978, 2016 | 1 | 2016 |
