Unsupervised single image dehazing using dark channel prior loss A Golts, D Freedman, M Elad IEEE transactions on Image Processing 29, 2692-2701, 2019 | 200 | 2019 |
Linearized kernel dictionary learning A Golts, M Elad IEEE Journal of Selected Topics in Signal Processing 10 (4), 726-739, 2016 | 82 | 2016 |
Ada-lista: Learned solvers adaptive to varying models A Aberdam, A Golts, M Elad IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9222 …, 2021 | 36 | 2021 |
Deep energy: Task driven training of deep neural networks A Golts, D Freedman, M Elad IEEE Journal of Selected Topics in Signal Processing 15 (2), 324-338, 2021 | 14 | 2021 |
Deep-energy: Unsupervised training of deep neural networks A Golts, D Freedman, M Elad arXiv preprint arXiv:1805.12355, 2018 | 11* | 2018 |
Clipter: Looking at the bigger picture in scene text recognition A Aberdam, D Bensaïd, A Golts, R Ganz, O Nuriel, R Tichauer, S Mazor, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
Simultaneous detection and classification of partially and weakly supervised cells A Golts, I Livneh, Y Zohar, A Ciechanover, M Elad European Conference on Computer Vision, 313-329, 2022 | 2 | 2022 |
GRAM: Global Reasoning for Multi-Page VQA T Blau, S Fogel, R Ronen, A Golts, R Ganz, EB Avraham, A Aberdam, ... arXiv preprint arXiv:2401.03411, 2024 | | 2024 |
CLIPTER: Looking at the Bigger Picture in Scene Text Recognition Supplementary Material A Aberdam, D Bensaıd, A Golts, R Ganz, O Nuriel, R Tichauer, S Mazor, ... | | |
Improved Image Style Transfer via Classification-CNN A Elad, M Erlich, A Golts | | |