| From Learning Models of Natural Image Patches to Whole Image Restoration D Zoran, Y Weiss 2011 IEEE International Conference for Computer Vision, 2011 | 1761 | 2011 |
| Perceiver io: A general architecture for structured inputs & outputs A Jaegle, S Borgeaud, JB Alayrac, C Doersch, C Ionescu, D Ding, ... arXiv preprint arXiv:2107.14795, 2021 | 500 | 2021 |
| Multi-object representation learning with iterative variational inference K Greff, RL Kaufman, R Kabra, N Watters, C Burgess, D Zoran, L Matthey, ... International conference on machine learning, 2424-2433, 2019 | 475 | 2019 |
| Visual interaction networks: Learning a physics simulator from video N Watters, D Zoran, T Weber, P Battaglia, R Pascanu, A Tacchetti Advances in neural information processing systems 30, 2017 | 404 | 2017 |
| Scale invariance and noise in natural images D Zoran, Y Weiss 2009 IEEE 12th International Conference on Computer Vision, 2209-2216, 2009 | 347 | 2009 |
| Lavan: Localized and visible adversarial noise D Karmon, D Zoran, Y Goldberg International conference on machine learning, 2507-2515, 2018 | 247 | 2018 |
| Crisp boundary detection using pointwise mutual information P Isola, D Zoran, D Krishnan, EH Adelson Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 237 | 2014 |
| Towards interpretable reinforcement learning using attention augmented agents A Mott, D Zoran, M Chrzanowski, D Wierstra, D Jimenez Rezende Advances in neural information processing systems 32, 2019 | 211 | 2019 |
| Learning ordinal relationships for mid-level vision D Zoran, P Isola, D Krishnan, WT Freeman Proceedings of the IEEE international conference on computer vision, 388-396, 2015 | 206 | 2015 |
| Natural images, Gaussian mixtures and dead leaves D Zoran, Y Weiss Advances in Neural Information Processing Systems 25, 2012 | 136 | 2012 |
| Learning visual groups from co-occurrences in space and time P Isola, D Zoran, D Krishnan, EH Adelson arXiv preprint arXiv:1511.06811, 2015 | 135 | 2015 |
| Nerf-vae: A geometry aware 3d scene generative model AR Kosiorek, H Strathmann, D Zoran, P Moreno, R Schneider, S Mokrá, ... International Conference on Machine Learning, 5742-5752, 2021 | 128 | 2021 |
| Imaging an event horizon: mitigation of scattering toward Sagittarius A VL Fish, MD Johnson, RS Lu, SS Doeleman, KL Bouman, D Zoran, ... The Astrophysical Journal 795 (2), 134, 2014 | 90 | 2014 |
| Computational imaging for VLBI image reconstruction KL Bouman, MD Johnson, D Zoran, VL Fish, SS Doeleman, WT Freeman Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 79 | 2016 |
| Towards robust image classification using sequential attention models D Zoran, M Chrzanowski, PS Huang, S Gowal, A Mott, P Kohli Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 76 | 2020 |
| Object discovery and representation networks OJ Hénaff, S Koppula, E Shelhamer, D Zoran, A Jaegle, A Zisserman, ... European conference on computer vision, 123-143, 2022 | 74 | 2022 |
| Simone: View-invariant, temporally-abstracted object representations via unsupervised video decomposition R Kabra, D Zoran, G Erdogan, L Matthey, A Creswell, M Botvinick, ... Advances in Neural Information Processing Systems 34, 20146-20159, 2021 | 70 | 2021 |
| Variational memory addressing in generative models J Bornschein, A Mnih, D Zoran, D Jimenez Rezende Advances in Neural Information Processing Systems 30, 2017 | 65 | 2017 |
| Psychlab: a psychology laboratory for deep reinforcement learning agents JZ Leibo, CM d'Autume, D Zoran, D Amos, C Beattie, K Anderson, ... arXiv preprint arXiv:1801.08116, 2018 | 58 | 2018 |
| Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs A Ruderman, NC Rabinowitz, AS Morcos, D Zoran arXiv preprint arXiv:1804.04438, 2018 | 54 | 2018 |
Yair WeissProfessor of Computer Science, Hebrew University在 mail.huji.ac.il 的电子邮件经过验证
