| Flowstep3d: Model Unrolling for Self-Supervised Scene Flow Estimation Y Kittenplon, YC Eldar, D Raviv Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 120 | 2021 |
| Towards weakly-supervised text spotting using a multi-task transformer Y Kittenplon, I Lavi, S Fogel, Y Bar, R Manmatha, P Perona Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 65 | 2022 |
| Towards models that can see and read R Ganz, O Nuriel, A Aberdam, Y Kittenplon, S Mazor, R Litman Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 15 | 2023 |
| Question aware vision transformer for multimodal reasoning R Ganz, Y Kittenplon, A Aberdam, E Ben Avraham, O Nuriel, S Mazor, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 14 | 2024 |
| Apparatus, system, and method of determining one or more parameters of a lens Y Kittenplon, A Zlotnik, N Magal, OB AMITAI, H Goldshtain, O Limon US Patent 11,852,559, 2023 | 3 | 2023 |
| M3T: A new benchmark dataset for multi-modal document-level machine translation B Hsu, X Liu, H Li, Y Fujinuma, M Nadejde, X Niu, Y Kittenplon, R Litman, ... arXiv preprint arXiv:2406.08255, 2024 | 2 | 2024 |
| DocVLM: Make Your VLM an Efficient Reader MS Nacson, A Aberdam, R Ganz, EB Avraham, A Golts, Y Kittenplon, ... arXiv preprint arXiv:2412.08746, 2024 | | 2024 |
| DocVLM: Make Your VLM an Efficient Reader M Shpigel Nacson, A Aberdam, R Ganz, E Ben Avraham, A Golts, ... arXiv e-prints, arXiv: 2412.08746, 2024 | | 2024 |
| TAP-VL: Text Layout-Aware Pre-training for Enriched Vision-Language Models J Fhima, EB Avraham, O Nuriel, Y Kittenplon, R Ganz, A Aberdam, ... arXiv preprint arXiv:2411.04642, 2024 | | 2024 |
| Apparatus, system, and method of determining one or more parameters of a lens Y Kittenplon, A Zlotnik, N Magal, OB AMITAI, H Goldshtain, O Limon US Patent App. 18/511,932, 2024 | | 2024 |
| Apparatus, system and method of determining one or more parameters of a refractive error of a tested eye O Limon, A Zlotnik, Y Kittenplon, OB AMITAI US Patent 11,426,065, 2022 | | 2022 |
| Towards Models that Can See and Read Supplementary Material R Ganz, O Nuriel, A Aberdam, Y Kittenplon, S Mazor, R Litman | | |
