| Deconvolutional networks MD Zeiler, D Krishnan, GW Taylor, R Fergus 2010 IEEE Computer Society Conference on computer vision and pattern …, 2010 | 1055 | 2010 |
| Fast image deconvolution using hyper-Laplacian priors D Krishnan, R Fergus Advances in neural information processing systems, 1033-1041, 2009 | 1014 | 2009 |
| Blind deconvolution using a normalized sparsity measure D Krishnan, T Tay, R Fergus CVPR 2011, 233-240, 2011 | 796 | 2011 |
| 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 | 594 | 2017 |
| Domain separation networks K Bousmalis, G Trigeorgis, N Silberman, D Krishnan, D Erhan Advances in neural information processing systems, 343-351, 2016 | 475 | 2016 |
| 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 | 240 | 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 | 130 | 2017 |
| Crisp boundary detection using pointwise mutual information P Isola, D Zoran, D Krishnan, EH Adelson European Conference on Computer Vision, 799-814, 2014 | 123 | 2014 |
| Dark flash photography D Krishnan, R Fergus ACM Trans. Graph. 28 (3), 96, 2009 | 119 | 2009 |
| Reflection removal using ghosting cues YC Shih, D Krishnan, F Durand, WT Freeman Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 105 | 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 | 86 | 2015 |
| Method, computer-accessible, medium and systems for facilitating dark flash photography R Fergus, D Krishnan US Patent 9,354,490, 2016 | 76 | 2016 |
| Efficient preconditioning of laplacian matrices for computer graphics D Krishnan, R Fattal, R Szeliski ACM Transactions on Graphics (TOG) 32 (4), 1-15, 2013 | 75 | 2013 |
| Large margin deep networks for classification G Elsayed, D Krishnan, H Mobahi, K Regan, S Bengio Advances in neural information processing systems, 842-852, 2018 | 50 | 2018 |
| Learning visual groups from co-occurrences in space and time P Isola, D Zoran, D Krishnan, EH Adelson arXiv preprint arXiv:1511.06811, 2015 | 50 | 2015 |
| 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 | 47* | 2017 |
| A primal-dual active-set method for non-negativity constrained total variation deblurring problems D Krishnan, P Lin, AM Yip IEEE Transactions on Image Processing 16 (11), 2766-2777, 2007 | 46 | 2007 |
| An efficient operator splitting method for noise removal in images D Krishnan, P Lin, XC Tai Commun. Comput. Phys 1 (5), 847-858, 2006 | 42 | 2006 |
| Multigrid and multilevel preconditioners for computational photography D Krishnan, R Szeliski ACM Transactions on Graphics (TOG) 30 (6), 1-10, 2011 | 35 | 2011 |
| Bi-directional 3D auto-regressive model approach to motion picture restoration WB Goh, MN Chong, S Kalra, D Krishnan 1996 IEEE International Conference on Acoustics, Speech, and Signal …, 1996 | 29 | 1996 |
