| Vqa: Visual question answering S Antol, A Agrawal, J Lu, M Mitchell, D Batra, CL Zitnick, D Parikh Proceedings of the IEEE international conference on computer vision, 2425-2433, 2015 | 4605 | 2015 |
| Don't just assume; look and answer: Overcoming priors for visual question answering A Agrawal, D Batra, D Parikh, A Kembhavi Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 521 | 2018 |
| Analyzing the behavior of visual question answering models A Agrawal, D Batra, D Parikh arXiv preprint arXiv:1606.07356, 2016 | 297 | 2016 |
| Overcoming language priors in visual question answering with adversarial regularization S Ramakrishnan, A Agrawal, S Lee Advances in Neural Information Processing Systems 31, 2018 | 182 | 2018 |
| C-vqa: A compositional split of the visual question answering (vqa) v1. 0 dataset A Agrawal, A Kembhavi, D Batra, D Parikh arXiv preprint arXiv:1704.08243, 2017 | 71 | 2017 |
| VQA: Visual question answering A Stanislaw, A Aishwarya, L Jiasen, M Margaret, B Dhruv, ZC Lawrence, ... Proceedings of the IEEE international conference on computer vision 2, 2015 | 56 | 2015 |
| Measuring Machine Intelligence Through Visual Question Answering. CL Zitnick, A Agrawal, S Antol, M Mitchell, D Batra, D Parikh AI Magazine 37 (1), 2016 | 39 | 2016 |
| CL, Zitnick, and D S Antol, A Agrawal, J Lu, M Mitchell, D Batra Parikh. VQA: Visual Question Answering., In, ICCV 1 (2), 3, 2015 | 36 | 2015 |
| Resolving language and vision ambiguities together: Joint segmentation & prepositional attachment resolution in captioned scenes G Christie, A Laddha, A Agrawal, S Antol, Y Goyal, K Kochersberger, ... arXiv preprint arXiv:1604.02125, 2016 | 30 | 2016 |
| Resolving vision and language ambiguities together: Joint segmentation & prepositional attachment resolution in captioned scenes G Christie, A Laddha, A Agrawal, S Antol, Y Goyal, K Kochersberger, ... Computer Vision and Image Understanding 163, 101-112, 2017 | 11 | 2017 |
| Visual storytelling F Ferraro, N Mostafazadeh, I Misra, A Agrawal, J Devlin, R Girshick, X He, ... arXiv preprint arXiv:1604.03968, 2016 | 10 | 2016 |
| Rethinking evaluation practices in visual question answering: A case study on out-of-distribution generalization A Agrawal, I Kajić, E Bugliarello, E Davoodi, A Gergely, P Blunsom, ... arXiv preprint arXiv:2205.12191, 2022 | 5 | 2022 |
| Visual storytelling H Ting-Hao, F Ferraro, N Mostafazadeh, I Misra, A Agrawal, J Devlin, ... Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 5 | 2016 |
| MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting O Maņas, P Rodriguez, S Ahmadi, A Nematzadeh, Y Goyal, A Agrawal arXiv preprint arXiv:2210.07179, 2022 | 4 | 2022 |
| A Novel LBP Based Operator for Tone Mapping HDR Images A Agrawal, S Raman | 4* | |
| VQA: Visual Question Answering www. visualqa. org A Agrawal, J Lu, S Antol, M Mitchell, CL Zitnick, D Batra, D Parikh Proceedings of the IEEE international conference on computer vision, 2425-2433, 2015 | 3 | 2015 |
| Visual question answering S Antol, A Agrawal, J Lu, M Mitchell, D Batra, CL Zitnick, DP Vqa Proceedings of the IEEE International Conference on Computer Vision, 0 | 3 | |
| Generating diverse programs with instruction conditioned reinforced adversarial learning A Agrawal, M Malinowski, F Hill, A Eslami, O Vinyals, T Kulkarni arXiv preprint arXiv:1812.00898, 2018 | 2 | 2018 |
| Optically clearing tissue as an initial step for 3D imaging of core biopsies to diagnose pancreatic cancer R Das, A Agrawal, MP Upton, EJ Seibel SPIE BiOS, 89410N-89410N-11, 2014 | 2 | 2014 |
| Measuring Progress in Fine-grained Vision-and-Language Understanding E Bugliarello, L Sartran, A Agrawal, LA Hendricks, A Nematzadeh arXiv preprint arXiv:2305.07558, 2023 | 1 | 2023 |
Dhruv BatraFAIR (Meta AI) | Georgia TechVerified email at gatech.edu
