| Averaged-dqn: Variance reduction and stabilization for deep reinforcement learning O Anschel, N Baram, N Shimkin International conference on machine learning, 176-185, 2017 | 391 | 2017 |
| Scatter: selective context attentional scene text recognizer R Litman, O Anschel, S Tsiper, R Litman, S Mazor, R Manmatha proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 172 | 2020 |
| 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 | 139 | 2021 |
| End-to-end differentiable adversarial imitation learning N Baram, O Anschel, I Caspi, S Mannor International Conference on Machine Learning, 390-399, 2017 | 118 | 2017 |
| Model-based adversarial imitation learning N Baram, O Anschel, S Mannor arXiv preprint arXiv:1612.02179, 2016 | 48 | 2016 |
| Glass: Global to local attention for scene-text spotting R Ronen, S Tsiper, O Anschel, I Lavi, A Markovitz, R Manmatha European Conference on Computer Vision, 249-266, 2022 | 44 | 2022 |
| Deep reinforcement learning with averaged target DQN O Anschel, N Baram, N Shimkin CoRR abs/1611.01929, 2016 | 20 | 2016 |
| 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 |
| Layout-agnostic clustering-based classification of document keys and values HA Elor, O Anschel, O Perel, A Adam, S Mazor, R Bhotika, S Soatto US Patent 10,872,236, 2020 | 11 | 2020 |
| Automated form understanding via layout agnostic identification of keys and corresponding values A Adam, O Anschel, HA Elor, S Mazor, GS Star, O Perel, TSE Wendy, ... US Patent 10,878,234, 2020 | 10 | 2020 |
| Grammar-based automated generation of annotated synthetic form training data for machine learning A Adam, O Anschel, O Perel, GS Star, O Ben-Eliezer, HA Elor, S Mazor, ... US Patent 10,970,530, 2021 | 4 | 2021 |
| Auto-annotation techniques for text localization O Anschel, A Adam, S Tsiper, HA Elor, S Mazor, R Bhotika, S Soatto US Patent 11,257,006, 2022 | 3 | 2022 |
| Learning multimodal affinities for textual editing in images O Perel, O Anschel, O Ben-Eliezer, S Mazor, H Averbuch-Elor ACM Transactions on Graphics (TOG) 40 (3), 1-16, 2021 | 1 | 2021 |
| Towards Quantitative Evaluation Metrics for Image Editing Approaches DC Hochberg, O Anschel, A Shoshan, I Kviatkovsky, M Aggarwal, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Residual context refinement network architecture for optical character recognition R Litman, O Anschel, S Tsiper, R Litman, S Mazor, J Wu, R Manmatha US Patent 11,308,354, 2022 | | 2022 |
| GLASS: Global to Local Attention for Scene-Text Spotting-Supplementary Material R Ronen, S Tsiper, O Anschel, I Lavi, A Markovitz, R Manmatha | | |
| Supplementary Material: Sequence-to-Sequence Contrastive Learning for Text Recognition A Aberdam, R Litman, S Tsiper, O Anschel, R Slossberg, S Mazor, ... | | |
| SCATTER: Selective Context Attentional Scene Text Recognizer Supplementary Materials R Litman, O Anschel, S Tsiper, R Litman, S Mazor, R Manmatha | | |
| Deep Randomized Least Squares Value Iteration G Adam, T Zahavy, O Anschel, N Shimkin | | |
R. ManmathaA9/AmazonVerified email at cs.umass.edu
