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Saurabh Singh
Saurabh Singh
Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Revisiting unreasonable effectiveness of data in deep learning era
C Sun, A Shrivastava, S Singh, A Gupta
Proceedings of the IEEE international conference on computer vision, 843-852, 2017
18252017
Variational image compression with a scale hyperprior
J Ballé, D Minnen, S Singh, SJ Hwang, N Johnston
arXiv preprint arXiv:1802.01436, 2018
8552018
Unsupervised Discovery of Mid-Level Discriminative Patches
S Singh, A Gupta, AA Efros
Arxiv preprint arXiv:1205.3137, 2012
7302012
What makes paris look like paris?
C Doersch, S Singh, A Gupta, J Sivic, A Efros
ACM Transactions on Graphics 31 (4), 2012
7262012
No fuss distance metric learning using proxies
Y Movshovitz-Attias, A Toshev, TK Leung, S Ioffe, S Singh
Proceedings of the IEEE International Conference on Computer Vision, 360-368, 2017
5092017
Where to look: Focus regions for visual question answering
KJ Shih, S Singh, D Hoiem
Proceedings of the IEEE conference on computer vision and pattern …, 2016
4872016
Improved lossy image compression with priming and spatially adaptive bit rates for recurrent networks
N Johnston, D Vincent, D Minnen, M Covell, S Singh, T Chinen, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
3372018
Swapout: Learning an ensemble of deep architectures
S Singh, D Hoiem, D Forsyth
Advances in Neural Information Processing Systems, 1696-1704, 2016
1572016
Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes
A Shrivastava, S Singh, A Gupta
Computer Vision–ECCV 2012, 369-383, 2012
1102012
What makes Paris look like Paris?
C Doersch, S Singh, A Gupta, J Sivic, AA Efros
Communications of the ACM 58 (12), 103-110, 2015
1032015
Channel-Wise Autoregressive Entropy Models for Learned Image Compression
D Minnen, S Singh
Proc. of IEEE Int. Conf. on Image Processing ICIP, 2020
1002020
Filter response normalization layer: Eliminating batch dependence in the training of deep neural networks
S Singh, S Krishnan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
862020
Nonlinear transform coding
J Ballé, PA Chou, D Minnen, S Singh, N Johnston, E Agustsson, ...
IEEE Journal of Selected Topics in Signal Processing 15 (2), 339-353, 2020
722020
Spatially adaptive image compression using a tiled deep network
D Minnen, G Toderici, M Covell, T Chinen, N Johnston, J Shor, SJ Hwang, ...
2017 IEEE International Conference on Image Processing (ICIP), 2796-2800, 2017
472017
Part localization using multi-proposal consensus for fine-grained categorization
KJ Shih, A Mallya, S Singh, D Hoiem
arXiv preprint arXiv:1507.06332, 2015
472015
Evalnorm: Estimating batch normalization statistics for evaluation
S Singh, A Shrivastava
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
402019
End-to-end Learning of Compressible Features
S Singh, S Abu-El-Haija, N Johnston, J Ballé, A Shrivastava, G Toderici
2020 IEEE International Conference on Image Processing (ICIP), 3349-3353, 2020
262020
Deep Implicit Volume Compression
D Tang, S Singh, PA Chou, C Hane, M Dou, S Fanello, J Taylor, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
252020
Image-Dependent Local Entropy Models for Learned Image Compression
D Minnen, G Toderici, S Singh, SJ Hwang, M Covell
2018 25th IEEE International Conference on Image Processing (ICIP), 430-434, 2018
232018
Scalable Model Compression by Entropy Penalized Reparameterization
D Oktay, J Ballé, S Singh, A Shrivastava
arXiv preprint arXiv:1906.06624, 2019
212019
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