| Deconvolutional networks MD Zeiler, D Krishnan, GW Taylor, R Fergus 2010 IEEE Computer Society Conference on computer vision and pattern …, 2010 | 1510 | 2010 |
| Unsupervised pixel-level domain adaptation with generative adversarial networks K Bousmalis, N Silberman, D Dohan, D Erhan, D Krishnan Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1460 | 2017 |
| Fast image deconvolution using hyper-Laplacian priors D Krishnan, R Fergus Advances in neural information processing systems 22, 1033-1041, 2009 | 1257 | 2009 |
| Blind deconvolution using a normalized sparsity measure D Krishnan, T Tay, R Fergus CVPR 2011, 233-240, 2011 | 989 | 2011 |
| Domain separation networks K Bousmalis, G Trigeorgis, N Silberman, D Krishnan, D Erhan Advances in neural information processing systems 29, 343-351, 2016 | 866 | 2016 |
| Contrastive multiview coding Y Tian, D Krishnan, P Isola Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 537 | 2020 |
| Restoring an image taken through a window covered with dirt or rain D Eigen, D Krishnan, R Fergus Proceedings of the IEEE international conference on computer vision, 633-640, 2013 | 379 | 2013 |
| Visualizing dataflow graphs of deep learning models in tensorflow K Wongsuphasawat, D Smilkov, J Wexler, J Wilson, D Mane, D Fritz, ... IEEE transactions on visualization and computer graphics 24 (1), 1-12, 2017 | 258 | 2017 |
| Supervised contrastive learning P Khosla, P Teterwak, C Wang, A Sarna, Y Tian, P Isola, A Maschinot, ... arXiv preprint arXiv:2004.11362, 2020 | 242 | 2020 |
| Contrastive representation distillation Y Tian, D Krishnan, P Isola arXiv preprint arXiv:1910.10699, 2019 | 178 | 2019 |
| What makes for good views for contrastive learning? Y Tian, C Sun, B Poole, D Krishnan, C Schmid, P Isola arXiv preprint arXiv:2005.10243, 2020 | 170 | 2020 |
| Crisp boundary detection using pointwise mutual information P Isola, D Zoran, D Krishnan, EH Adelson European Conference on Computer Vision, 799-814, 2014 | 169 | 2014 |
| Reflection removal using ghosting cues YC Shih, D Krishnan, F Durand, WT Freeman Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 165 | 2015 |
| 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 | 141 | 2015 |
| Large margin deep networks for classification GF Elsayed, D Krishnan, H Mobahi, K Regan, S Bengio arXiv preprint arXiv:1803.05598, 2018 | 139 | 2018 |
| Dark flash photography D Krishnan, R Fergus ACM Trans. Graph. 28 (3), 96, 2009 | 138 | 2009 |
| Rethinking few-shot image classification: a good embedding is all you need? Y Tian, Y Wang, D Krishnan, JB Tenenbaum, P Isola Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 127 | 2020 |
| Adversarial robustness through local linearization C Qin, J Martens, S Gowal, D Krishnan, K Dvijotham, A Fawzi, S De, ... arXiv preprint arXiv:1907.02610, 2019 | 115 | 2019 |
| Fantastic generalization measures and where to find them Y Jiang, B Neyshabur, H Mobahi, D Krishnan, S Bengio arXiv preprint arXiv:1912.02178, 2019 | 111 | 2019 |
| Synthesizing normalized faces from facial identity features F Cole, D Belanger, D Krishnan, A Sarna, I Mosseri, WT Freeman Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 92 | 2017 |
