| Learning cooperative visual dialog agents with deep reinforcement learning A Das, S Kottur, JMF Moura, S Lee, D Batra Proceedings of the IEEE international conference on computer vision, 2951-2960, 2017 | 279 | 2017 |
| Embodied question answering A Das, S Datta, G Gkioxari, S Lee, D Parikh, D Batra Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 240 | 2018 |
| Graph r-cnn for scene graph generation J Yang, J Lu, S Lee, D Batra, D Parikh Proceedings of the European conference on computer vision (ECCV), 670-685, 2018 | 227 | 2018 |
| Lending a hand: Detecting hands and recognizing activities in complex egocentric interactions S Bambach, S Lee, DJ Crandall, C Yu Proceedings of the IEEE International Conference on Computer Vision, 1949-1957, 2015 | 215 | 2015 |
| Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks J Lu, D Batra, D Parikh, S Lee Advances in Neural Information Processing Systems, 13-23, 2019 | 197 | 2019 |
| Diverse beam search: Decoding diverse solutions from neural sequence models AK Vijayakumar, M Cogswell, RR Selvaraju, Q Sun, S Lee, D Crandall, ... arXiv preprint arXiv:1610.02424, 2016 | 175 | 2016 |
| Natural language does not emerge'naturally'in multi-agent dialog S Kottur, JMF Moura, S Lee, D Batra arXiv preprint arXiv:1706.08502, 2017 | 89 | 2017 |
| Why M heads are better than one: Training a diverse ensemble of deep networks S Lee, S Purushwalkam, M Cogswell, D Crandall, D Batra arXiv preprint arXiv:1511.06314, 2015 | 87 | 2015 |
| Stochastic multiple choice learning for training diverse deep ensembles S Lee, SPS Prakash, M Cogswell, V Ranjan, D Crandall, D Batra Advances in Neural Information Processing Systems, 2119-2127, 2016 | 86 | 2016 |
| Diverse beam search for improved description of complex scenes AK Vijayakumar, M Cogswell, RR Selvaraju, Q Sun, S Lee, D Crandall, ... Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 61 | 2018 |
| Neural modular control for embodied question answering A Das, G Gkioxari, S Lee, D Parikh, D Batra arXiv preprint arXiv:1810.11181, 2018 | 57 | 2018 |
| Counterfactual visual explanations Y Goyal, Z Wu, J Ernst, D Batra, D Parikh, S Lee arXiv preprint arXiv:1904.07451, 2019 | 55 | 2019 |
| Overcoming language priors in visual question answering with adversarial regularization S Ramakrishnan, A Agrawal, S Lee Advances in Neural Information Processing Systems, 1541-1551, 2018 | 49 | 2018 |
| Evaluating visual conversational agents via cooperative human-ai games P Chattopadhyay, D Yadav, V Prabhu, A Chandrasekaran, A Das, S Lee, ... arXiv preprint arXiv:1708.05122, 2017 | 43 | 2017 |
| This hand is my hand: A probabilistic approach to hand disambiguation in egocentric video S Lee, S Bambach, DJ Crandall, JM Franchak, C Yu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 41 | 2014 |
| Linking past to present: Discovering style in two centuries of architecture S Lee, N Maisonneuve, D Crandall, AA Efros, J Sivic | 40 | 2015 |
| Predicting geo-informative attributes in large-scale image collections using convolutional neural networks S Lee, H Zhang, DJ Crandall 2015 IEEE Winter Conference on Applications of Computer Vision, 550-557, 2015 | 38 | 2015 |
| Taking a hint: Leveraging explanations to make vision and language models more grounded RR Selvaraju, S Lee, Y Shen, H Jin, S Ghosh, L Heck, D Batra, D Parikh Proceedings of the IEEE International Conference on Computer Vision, 2591-2600, 2019 | 31 | 2019 |
| Embodied question answering in photorealistic environments with point cloud perception E Wijmans, S Datta, O Maksymets, A Das, G Gkioxari, S Lee, I Essa, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 26 | 2019 |
| The promise of premise: Harnessing question premises in visual question answering A Mahendru, V Prabhu, A Mohapatra, D Batra, S Lee arXiv preprint arXiv:1705.00601, 2017 | 24 | 2017 |
Dhruv BatraGeorgia Tech and Facebook AI ResearchVerified email at gatech.edu
