| Sequence-to-sequence contrastive learning for text recognition A Aberdam, R Litman, S Tsiper, O Anschel, R Slossberg, S Mazor, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 140 | 2021 |
| Efficient deformable shape correspondence via kernel matching M Vestner, Z Lähner, A Boyarski, O Litany, R Slossberg, T Remez, ... 2017 international conference on 3D vision (3DV), 517-526, 2017 | 104* | 2017 |
| Rule of thumb: Deep derotation for improved fingertip detection A Wetzler, R Slossberg, R Kimmel arXiv preprint arXiv:1507.05726, 2015 | 102 | 2015 |
| Artificial intelligence algorithms to assess hormonal status from tissue microarrays in patients with breast cancer G Shamai, Y Binenbaum, R Slossberg, I Duek, Z Gil, R Kimmel JAMA network open 2 (7), e197700-e197700, 2019 | 101 | 2019 |
| High quality facial surface and texture synthesis via generative adversarial networks R Slossberg, G Shamai, R Kimmel Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 58 | 2018 |
| Synthesizing facial photometries and corresponding geometries using generative adversarial networks G Shamai, R Slossberg, R Kimmel ACM Transactions on Multimedia Computing, Communications, and Applications …, 2019 | 37 | 2019 |
| Shape correspondence with isometric and non-isometric deformations RM Dyke, C Stride, YK Lai, PL Rosin, M Aubry, A Boyarski, AM Bronstein, ... The Eurographics Association, 2019 | 24 | 2019 |
| On calibration of scene-text recognition models R Slossberg, O Anschel, A Markovitz, R Litman, A Aberdam, S Tsiper, ... European Conference on Computer Vision, 263-279, 2022 | 12 | 2022 |
| Freehand Laser Scanning Using a Mobile Phone R Slossberg, W Aaron, K Ron British Machine Vision Conference (BMVC), 88.1-88.10, 2015 | 10 | 2015 |
| Unsupervised high-fidelity facial texture generation and reconstruction R Slossberg, I Jubran, R Kimmel European Conference on Computer Vision, 212-229, 2022 | 8 | 2022 |
| Deep stereo matching with dense CRF priors R Slossberg, A Wetzler, R Kimmel arXiv preprint arXiv:1612.01725, 2016 | 5 | 2016 |
| Depth refinement for improved stereo reconstruction A Bracha, N Rotstein, D Bensaïd, R Slossberg, R Kimmel arXiv preprint arXiv:2112.08070, 2021 | 2 | 2021 |
| Hybrid machine learning architecture for visual content processing and uses thereof O Mulla, N Rotstein, A Bracha, R Kimmel, A Zabatani, R Slossberg, ... US Patent App. 18/145,301, 2024 | | 2024 |
| Custom object tracking using hybrid machine learning O Mulla, N Rotstein, A Bracha, R Kimmel, A Zabatani, R Slossberg, ... US Patent App. 18/186,517, 2024 | | 2024 |
| Supplementary Material: Sequence-to-Sequence Contrastive Learning for Text Recognition A Aberdam, R Litman, S Tsiper, O Anschel, R Slossberg, S Mazor, ... | | |
| KERNEL MATCHING M Vestner, Z Lähner, A Boyarski, R Slossberg, T Remez, O Litany, ... | | |
