| Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization RR Selvaraju, M Cogswell, A Das, R Vedantam, D Parikh, D Batra Proceedings of the IEEE International Conference on Computer Vision, 618-626, 2017 | 9920 | 2017 |
| Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization R R. Selvaraju, M Cogswell, A Das, R Vedantam, D Parikh, D Batra International Journal of Computer Vision, 1–24, 2019 | 9826 | 2019 |
| Grad-cam: Why did you say that? RR Selvaraju, A Das, R Vedantam, M Cogswell, D Parikh, D Batra arXiv preprint arXiv:1611.07450, 2016 | 310 | 2016 |
| 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 | 308 | 2016 |
| 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/CVF international conference on computer vision …, 2019 | 134 | 2019 |
| Diverse beam search for improved description of complex scenes A Vijayakumar, M Cogswell, R Selvaraju, Q Sun, S Lee, D Crandall, ... Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 128 | 2018 |
| Counting everyday objects in everyday scenes P Chattopadhyay, R Vedantam, R RS, D Batra, D Parikh arXiv preprint arXiv:1604.03505, 2016 | 123 | 2016 |
| Align before fuse: Vision and language representation learning with momentum distillation J Li, R Selvaraju, A Gotmare, S Joty, C Xiong, SCH Hoi Advances in neural information processing systems 34, 9694-9705, 2021 | 109 | 2021 |
| Proceedings of the IEEE international conference on computer vision RR Selvaraju, M Cogswell, A Das, R Vedantam, D Parikh, D Batra IEEE, 2017 | 68 | 2017 |
| The semantic paintbrush: Interactive 3d mapping and recognition in large outdoor spaces O Miksik, V Vineet, M Lidegaard, R Prasaath, M Nießner, S Golodetz, ... Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing …, 2015 | 64 | 2015 |
| SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions. RR Selvaraju, P Tendulkar, D Parikh, E Horvitz, M Ribeiro, B Nushi, ... | 39* | 2020 |
| Choose your neuron: Incorporating domain knowledge through neuron-importance RR Selvaraju, P Chattopadhyay, M Elhoseiny, T Sharma, D Batra, ... Proceedings of the European conference on computer vision (ECCV), 526-541, 2018 | 35 | 2018 |
| Casting your model: Learning to localize improves self-supervised representations RR Selvaraju, K Desai, J Johnson, N Naik Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 26 | 2021 |
| Grad-CAM: why did you say that R Ramprasaath, D Abhishek, V Ramakrishna, C Michael, P Devi, B Dhruv Visual explanations from deep networks via gradient-based localization, 2016 | 6 | 2016 |
| Diverse beam search: Decoding diverse solutions from neural sequence models. arXiv preprint arXiv: 161002424 AK Vijayakumar, M Cogswell, RR Selvaraju, Q Sun, S Lee, D Crandall, ... | 6 | 2016 |
| Automated colorimetric analysis in paper based sensors S Garg, RS Ramprasaath, S Kapur, KMM Rao 2014 IEEE International Conference on Image Processing (ICIP), 3607-3611, 2014 | 4 | 2014 |
| Trick or TReAT: Thematic reinforcement for artistic typography P Tendulkar, K Krishna, RR Selvaraju, D Parikh arXiv preprint arXiv:1903.07820, 2019 | 3 | 2019 |
| Reframing explanation as an interactive medium: The EQUAS (Explainable QUestion Answering System) project W Ferguson, D Batra, R Mooney, D Parikh, A Torralba, D Bau, D Diller, ... Applied AI Letters 2 (4), e60, 2021 | 2 | 2021 |
| PreViTS: Contrastive Pretraining with Video Tracking Supervision B Chen, RR Selvaraju, SF Chang, JC Niebles, N Naik arXiv preprint arXiv:2112.00804, 2021 | 2 | 2021 |
| CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations A Shrivastava, RR Selvaraju, N Naik, V Ordonez arXiv preprint arXiv:2112.07133, 2021 | 1 | 2021 |
Devi ParikhGeorgia Tech, Facebook AI ResearchVerified email at gatech.edu
