| Learning Individual Styles of Conversational Gesture S Ginosar*, A Bar*, G Kohavi, C Chan, A Owens, J Malik Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 364 | 2019 |
| A cookbook of self-supervised learning R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ... arXiv preprint arXiv:2304.12210, 2023 | 353* | 2023 |
| Visual Prompting via Image Inpainting A Bar*, Y Gandelsman*, T Darrell, A Globerson, AA Efros Advances in Neural Information Processing Systems (NeurIPS), 2022, 2022 | 194 | 2022 |
| Detreg: Unsupervised pretraining with region priors for object detection A Bar, X Wang, V Kantorov, CJ Reed, R Herzig, G Chechik, A Rohrbach, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 141 | 2022 |
| Language Generation with Recurrent Generative Adversarial Networks without Pre-training O Press*, A Bar*, B Bogin*, J Berant, L Wolf 1st Workshop on Learning to Generate Natural Language at ICML 2017, 2017 | 141 | 2017 |
| Sequential modeling enables scalable learning for large vision models Y Bai, X Geng, K Mangalam, A Bar, A Yuille, T Darrell, J Malik, AA Efros Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 115 | 2024 |
| Learning canonical representations for scene graph to image generation R Herzig*, A Bar*, H Xu, G Chechik, T Darrell, A Globerson 16th European Conference on Computer Vision, ECCV 2020, 2020 | 111 | 2020 |
| Object-region video transformers R Herzig, E Ben-Avraham, K Mangalam, A Bar, G Chechik, A Rohrbach, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 94 | 2022 |
| Compression Fractures Detection on CT A Bar, L Wolf, OB Amitai, E Toledano, E Elnekave Proceedings Volume 10134, Medical Imaging 2017: Computer-Aided Diagnosis …, 2017 | 93 | 2017 |
| Automated opportunistic osteoporotic fracture risk assessment using computed tomography scans to aid in FRAX underutilization N Dagan, E Elnekave, N Barda, O Bregman-Amitai, A Bar, M Orlovsky, ... Nature Medicine, 2020, 2020 | 90 | 2020 |
| Avi Schwarzschild, Andrew Gordon Wilson, Jonas Geiping, Quentin Garrido, Pierre Fernandez, Amir Bar, Hamed Pirsiavash, Yann LeCun, and Micah Goldblum R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ... A cookbook of self-supervised learning 2, 2023 | 81 | 2023 |
| Compositional video synthesis with action graphs A Bar*, R Herzig*, X Wang, G Chechik, T Darrell, A Globerson Proceedings of the 38th International Conference on Machine Learning (ICML …, 2021 | 45 | 2021 |
| Simulating Dual-Energy X-Ray Absorptiometry in CT Using Deep-Learning Segmentation Cascade A Krishnaraj, S Barrett, O Bregman-Amitai, M Cohen-Sfady, A Bar, ... Journal of the American College of Radiology, 2019, 2019 | 44 | 2019 |
| 3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT D Chettrit, T Meir, H Lebel, M Orlovsky, R Gordon, A Akselrod-Ballin, ... Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020, 2020 | 21 | 2020 |
| Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens E Ben-Avraham, R Herzig, K Mangalam, A Bar, A Rohrbach, L Karlinsky, ... Advances in Neural Information Processing Systems (NeurIPS), 2022, 2022 | 17* | 2022 |
| A cookbook of self-supervised learning. arXiv 2023 R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ... arXiv preprint arXiv:2304.12210, 0 | 13 | |
| A Cookbook of Self-Supervised Learning,(2023) R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ... arXiv preprint arXiv:2304.12210, 0 | 10 | |
| Improved ICH classification using task-dependent learning A Bar, M Mauda, Y Turner, M Safadi, E Elnekave IEEE 16th International Symposium on Biomedical Imaging (ISBI), 2019, 2019 | 9 | 2019 |
| PHT-bot: a deep learning based system for automatic risk stratification of COPD patients based upon signs of pulmonary hypertension D Chettrit, OB Amitai, I Tamir, A Bar, E Elnekave Medical imaging 2019: computer-aided diagnosis 10950, 171-178, 2019 | 9 | 2019 |
| Using machine learning to identify intravenous contrast phases on computed tomography R Muhamedrahimov, A Bar, J Laserson, A Akselrod-Ballin, E Elnekave Computer Methods and Programs in Biomedicine 215, 106603, 2022 | 7 | 2022 |
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
