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Dilip Krishnan
Dilip Krishnan
Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Deconvolutional networks
MD Zeiler, D Krishnan, GW Taylor, R Fergus
2010 IEEE Computer Society Conference on computer vision and pattern …, 2010
17592010
Fast image deconvolution using hyper-Laplacian priors
D Krishnan, R Fergus
Advances in neural information processing systems 22, 2009
14272009
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
14212017
Contrastive multiview coding
Y Tian, D Krishnan, P Isola
European conference on computer vision, 776-794, 2020
11422020
Domain separation networks
K Bousmalis, G Trigeorgis, N Silberman, D Krishnan, D Erhan
Advances in neural information processing systems 29, 2016
11362016
Blind deconvolution using a normalized sparsity measure
D Krishnan, T Tay, R Fergus
CVPR 2011, 233-240, 2011
11212011
Supervised contrastive learning
P Khosla, P Teterwak, C Wang, A Sarna, Y Tian, P Isola, A Maschinot, ...
Advances in Neural Information Processing Systems 33, 18661-18673, 2020
11072020
What makes for good views for contrastive learning?
Y Tian, C Sun, B Poole, D Krishnan, C Schmid, P Isola
Advances in Neural Information Processing Systems 33, 6827-6839, 2020
4682020
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
4432013
Contrastive representation distillation
Y Tian, D Krishnan, P Isola
arXiv preprint arXiv:1910.10699, 2019
4262019
Rethinking few-shot image classification: a good embedding is all you need?
Y Tian, Y Wang, D Krishnan, JB Tenenbaum, P Isola
European Conference on Computer Vision, 266-282, 2020
3972020
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
3092017
Fantastic generalization measures and where to find them
Y Jiang, B Neyshabur, H Mobahi, D Krishnan, S Bengio
arXiv preprint arXiv:1912.02178, 2019
2432019
Reflection removal using ghosting cues
YC Shih, D Krishnan, F Durand, WT Freeman
Proceedings of the IEEE conference on computer vision and pattern …, 2015
1992015
Crisp boundary detection using pointwise mutual information
P Isola, D Zoran, D Krishnan, EH Adelson
European conference on computer vision, 799-814, 2014
1962014
Large margin deep networks for classification
G Elsayed, D Krishnan, H Mobahi, K Regan, S Bengio
Advances in neural information processing systems 31, 2018
1882018
Adversarial robustness through local linearization
C Qin, J Martens, S Gowal, D Krishnan, K Dvijotham, A Fawzi, S De, ...
Advances in Neural Information Processing Systems 32, 2019
1832019
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
1572015
Dark flash photography
D Krishnan, R Fergus
ACM Trans. Graph. 28 (3), 96, 2009
1452009
A margin-based measure of generalization for deep networks
Y Jiang, D Krishnan, H Mobahi, S Bengio
135*2019
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Articles 1–20