Saurabh Singh
Saurabh Singh
Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Unsupervised Discovery of Mid-Level Discriminative Patches
S Singh, A Gupta, AA Efros
Arxiv preprint arXiv:1205.3137, 2012
6352012
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
6192017
What makes paris look like paris?
C Doersch, S Singh, A Gupta, J Sivic, A Efros
5322012
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
3192016
Variational image compression with a scale hyperprior
J Ballé, D Minnen, S Singh, SJ Hwang, N Johnston
arXiv preprint arXiv:1802.01436, 2018
2492018
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
1852017
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
1522018
Swapout: Learning an ensemble of deep architectures
S Singh, D Hoiem, D Forsyth
Advances in Neural Information Processing Systems, 1696-1704, 2016
1202016
Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes
A Shrivastava, S Singh, A Gupta
Computer Vision–ECCV 2012, 369-383, 2012
892012
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
572015
Part localization using multi-proposal consensus for fine-grained categorization
KJ Shih, A Mallya, S Singh, D Hoiem
arXiv preprint arXiv:1507.06332, 2015
342015
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
282017
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
222020
Target-quality image compression with recurrent, convolutional neural networks
M Covell, N Johnston, D Minnen, SJ Hwang, J Shor, S Singh, D Vincent, ...
arXiv preprint arXiv:1705.06687, 2017
152017
EvalNorm: Estimating Batch Normalization Statistics for Evaluation
S Singh, A Shrivastava
Proceedings of the IEEE International Conference on Computer Vision, 3633-3641, 2019
142019
Aligned image-word representations improve inductive transfer across vision-language tasks
T Gupta, K Shih, S Singh, D Hoiem
Proceedings of the IEEE International Conference on Computer Vision, 4213-4222, 2017
122017
Learning to localize little landmarks
S Singh, D Hoiem, D Forsyth
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
122016
Learning a sequential search for landmarks
S Singh, D Hoiem, D Forsyth
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
122015
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
82018
Channel-Wise Autoregressive Entropy Models for Learned Image Compression
D Minnen, S Singh
Proc. of IEEE Int. Conf. on Image Processing ICIP, 2020
42020
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Articles 1–20