| Unsupervised Discovery of Mid-Level Discriminative Patches S Singh, A Gupta, AA Efros Arxiv preprint arXiv:1205.3137, 2012 | 610 | 2012 |
| What makes paris look like paris? C Doersch, S Singh, A Gupta, J Sivic, A Efros | 491 | 2012 |
| 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 | 435 | 2017 |
| 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 | 277 | 2016 |
| Variational image compression with a scale hyperprior J Ballé, D Minnen, S Singh, SJ Hwang, N Johnston arXiv preprint arXiv:1802.01436, 2018 | 136 | 2018 |
| 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 | 114 | 2017 |
| 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 | 112 | 2018 |
| Swapout: Learning an ensemble of deep architectures S Singh, D Hoiem, D Forsyth Advances in Neural Information Processing Systems, 1696-1704, 2016 | 107 | 2016 |
| Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes A Shrivastava, S Singh, A Gupta Computer Vision–ECCV 2012, 369-383, 2012 | 85 | 2012 |
| 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 | 43 | 2015 |
| Part localization using multi-proposal consensus for fine-grained categorization KJ Shih, A Mallya, S Singh, D Hoiem arXiv preprint arXiv:1507.06332, 2015 | 31 | 2015 |
| 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 | 23 | 2017 |
| 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 | 12 | 2017 |
| Learning to localize little landmarks S Singh, D Hoiem, D Forsyth Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 12 | 2016 |
| Learning a sequential search for landmarks S Singh, D Hoiem, D Forsyth Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 12 | 2015 |
| 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 | 11 | 2017 |
| EvalNorm: Estimating Batch Normalization Statistics for Evaluation S Singh, A Shrivastava Proceedings of the IEEE International Conference on Computer Vision, 3633-3641, 2019 | 3 | 2019 |
| 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 | 3 | 2018 |
| Model Compression by Entropy Penalized Reparameterization D Oktay, J Ballé, S Singh, A Shrivastava arXiv preprint arXiv:1906.06624, 2019 | 2 | 2019 |
| Image-dependent local entropy models for image compression with deep networks D Minnen, G Toderici, S Singh, SJ Hwang, M Covell | 2 | 2018 |
Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
