| Maintaining natural image statistics with the contextual loss R Mechrez, I Talmi, F Shama, L Zelnik-Manor Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 95 | 2019 |
| PDRNet: A deep-learning pedestrian dead reckoning framework O Asraf, F Shama, I Klein IEEE Sensors Journal 22 (6), 4932-4939, 2021 | 53 | 2021 |
| Learning to maintain natural image statistics R Mechrez, I Talmi, F Shama, L Zelnik-Manor arXiv preprint arXiv:1803.04626 8, 14, 2018 | 35 | 2018 |
| Adversarial feedback loop F Shama, R Mechrez, A Shoshan, L Zelnik-Manor Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 27 | 2019 |
| Cumulative Evidence for Scene Change Detection and Local Map Updates I Wilf, N Daniel, L Manqing, F Shama, O Asraf, F Wensen, O Kruzel 2022 IEEE International Conference on Artificial Intelligence and Virtual …, 2022 | 1 | 2022 |
| Crowd source scene change detection and local map update I Wilf, N Daniel, L Manqing, F Shama, O Asraf, F Wensen, O Kruzel arXiv preprint arXiv:2203.05205, 2022 | 1 | 2022 |
| Adversarial Feedback Loop—Supplementary— F Shama, R Mechrez, A Shoshan, L Zelnik-Manor | | |
| Maintaining Natural Image Statistics with the Contextual Loss-Supplementary R Mechrez, I Talmi, F Shama, L Zelnik-Manor | | |
