| Unsupervised visual representation learning by context prediction C Doersch, A Gupta, AA Efros Proceedings of the IEEE International Conference on Computer Vision, 1422-1430, 2015 | 837 | 2015 |
| Tutorial on Variational Autoencoders C Doersch arXiv preprint arXiv:1606.05908, 2016 | 766 | 2016 |
| What makes Paris look like Paris? C Doersch, S Singh, A Gupta, J Sivic, AA Efros ACM Transactions on Graphics (SIGGRAPH) 31 (4), 101, 2012 | 521 | 2012 |
| An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders J Walker, C Doersch, A Gupta, M Hebert European Conference on Computer Vision, 835-851, 2016 | 361 | 2016 |
| Mid-level Visual Element Discovery as Discriminative Mode Seeking C Doersch, A Gupta, AA Efros Advances in Neural Information Processing Systems, 494-502, 2013 | 272 | 2013 |
| Multi-task self-supervised visual learning C Doersch, A Zisserman Proceedings of the IEEE International Conference on Computer Vision, 2051-2060, 2017 | 261 | 2017 |
| Data-efficient image recognition with contrastive predictive coding OJ Hénaff, A Srinivas, J De Fauw, A Razavi, C Doersch, SM Eslami, ... arXiv preprint arXiv:1905.09272, 2019 | 150 | 2019 |
| Data-dependent Initializations of Convolutional Neural Networks P Krähenbühl, C Doersch, J Donahue, T Darrell arXiv preprint arXiv:1511.06856, 2015 | 146 | 2015 |
| Video action transformer network R Girdhar, J Carreira, C Doersch, A Zisserman Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 79 | 2019 |
| 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 | 55 | 2015 |
| Exploiting temporal context for 3D human pose estimation in the wild A Arnab, C Doersch, A Zisserman Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 41 | 2019 |
| Kickstarting Deep Reinforcement Learning S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ... arXiv preprint arXiv:1803.03835, 2018 | 41 | 2018 |
| Learning visual question answering by bootstrapping hard attention M Malinowski, C Doersch, A Santoro, P Battaglia Proceedings of the European Conference on Computer Vision (ECCV), 3-20, 2018 | 41 | 2018 |
| Context as supervisory signal: Discovering objects with predictable context C Doersch, A Gupta, AA Efros European Conference on Computer Vision, 362-377, 2014 | 34 | 2014 |
| Improving state-of-the-art OCR through high-precision document-specific modeling A Kae, G Huang, C Doersch, E Learned-Miller 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 29 | 2010 |
| A Better Baseline for AVA R Girdhar, J Carreira, C Doersch, A Zisserman arXiv preprint arXiv:1807.10066, 2018 | 25 | 2018 |
| Sim2real transfer learning for 3D human pose estimation: motion to the rescue C Doersch, A Zisserman Advances in Neural Information Processing Systems, 12949-12961, 2019 | 16* | 2019 |
| Mid-level Elements for Object Detection A Bansal, A Shrivastava, C Doersch, A Gupta arXiv preprint arXiv:1504.07284, 2015 | 12 | 2015 |
| The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR M Malinowski, C Doersch arXiv preprint arXiv:1809.04482, 2018 | 10 | 2018 |
| Structured agents for physical construction V Bapst, A Sanchez-Gonzalez, C Doersch, KL Stachenfeld, P Kohli, ... arXiv preprint arXiv:1904.03177, 2019 | 9 | 2019 |
Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
