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Saurabh Singh
Saurabh Singh
Research Scientist, Google
Dirección de correo verificada de google.com - Página principal
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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
31312017
Variational image compression with a scale hyperprior
J Ballé, D Minnen, S Singh, SJ Hwang, N Johnston
arXiv preprint arXiv:1802.01436, 2018
19112018
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
10202015
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
7912017
Unsupervised Discovery of Mid-Level Discriminative Patches
S Singh, A Gupta, AA Efros
Arxiv preprint arXiv:1205.3137, 2012
7502012
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
5942016
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
4632018
Channel-Wise Autoregressive Entropy Models for Learned Image Compression
D Minnen, S Singh
Proc. of IEEE Int. Conf. on Image Processing ICIP, 2020
3792020
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
2182020
Swapout: Learning an ensemble of deep architectures
S Singh, D Hoiem, D Forsyth
Advances in Neural Information Processing Systems, 1696-1704, 2016
1852016
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
1682020
Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes
A Shrivastava, S Singh, A Gupta
Computer Vision–ECCV 2012, 369-383, 2012
1262012
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
772020
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
712017
Evalnorm: Estimating batch normalization statistics for evaluation
S Singh, A Shrivastava
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
602019
Part localization using multi-proposal consensus for fine-grained categorization
KJ Shih, A Mallya, S Singh, D Hoiem
arXiv preprint arXiv:1507.06332, 2015
602015
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
482020
Scalable Model Compression by Entropy Penalized Reparameterization
D Oktay, J Ballé, S Singh, A Shrivastava
arXiv preprint arXiv:1906.06624, 2019
482019
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
432018
3d scene compression through entropy penalized neural representation functions
T Bird, J Ballé, S Singh, PA Chou
2021 Picture Coding Symposium (PCS), 1-5, 2021
322021
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Artículos 1–20