| Vqa: Visual question answering A Agrawal*, J Lu*, S Antol*, M Mitchell, CL Zitnick, D Parikh, D Batra International Journal of Computer Vision 123 (1), 4-31, 2017 | 2931* | 2017 |
| Vqa: Visual question answering S Antol, A Agrawal, J Lu, M Mitchell, D Batra, C Lawrence Zitnick, ... Proceedings of the IEEE International Conference on Computer Vision, 2425-2433, 2015 | 2931 | 2015 |
| Hierarchical question-image co-attention for visual question answering J Lu, J Yang, D Batra, D Parikh Advances in neural information processing systems 29, 289-297, 2016 | 1149 | 2016 |
| Knowing when to look: Adaptive attention via a visual sentinel for image captioning J Lu*, C Xiong*, D Parikh, R Socher Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 950 | 2017 |
| Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks J Lu, D Batra, D Parikh, S Lee arXiv preprint arXiv:1908.02265, 2019 | 673 | 2019 |
| Graph R-CNN for Scene Graph Generation J Yang*, J Lu*, S Lee, D Batra, D Parikh arXiv preprint arXiv:1808.00191, 2018 | 388 | 2018 |
| Neural Baby Talk J Lu*, J Yang*, D Batra, D Parikh arXiv preprint arXiv:1803.09845, 2018 | 278 | 2018 |
| Parlai: A dialog research software platform AH Miller, W Feng, A Fisch, J Lu, D Batra, A Bordes, D Parikh, J Weston arXiv preprint arXiv:1705.06476, 2017 | 207 | 2017 |
| 12-in-1: Multi-Task Vision and Language Representation Learning J Lu*, V Goswami*, M Rohrbach, D Parikh, S Lee arXiv preprint arXiv:1912.02315, 2019 | 128 | 2019 |
| Best of both worlds: Transferring knowledge from discriminative learning to a generative visual dialog model J Lu, A Kannan, J Yang, D Parikh, D Batra arXiv preprint arXiv:1706.01554, 2017 | 110 | 2017 |
| Self-monitoring navigation agent via auxiliary progress estimation CY Ma, J Lu, Z Wu, G AlRegib, Z Kira, R Socher, C Xiong arXiv preprint arXiv:1901.03035, 2019 | 107 | 2019 |
| A Faster Pytorch Implementation of Faster R-CNN J Yang*, J Lu*, D Batra, D Parikh https://github.com/jwyang/faster-rcnn.pytorch, 2018 | 77 | 2018 |
| Deeper lstm and normalized cnn visual question answering model J Lu, X Lin, D Batra, D Parikh GitHub repository 6, 2015 | 72 | 2015 |
| Human action segmentation with hierarchical supervoxel consistency J Lu, R Xu, JJ Corso Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 63 | 2015 |
| Sentinel gate for modulating auxiliary information in a long short-term memory (lstm) neural network LU Jiasen, C Xiong, R Socher US Patent 10,565,306, 2020 | 44 | 2020 |
| Emergence of compositional language with deep generational transmission M Cogswell, J Lu, S Lee, D Parikh, D Batra arXiv preprint arXiv:1904.09067, 2019 | 31 | 2019 |
| Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition J Yang*, J Lu*, S Lee, D Batra, D Parikh arXiv preprint arXiv:1810.00912, 2018 | 23 | 2018 |
| X-lxmert: Paint, caption and answer questions with multi-modal transformers J Cho, J Lu, D Schwenk, H Hajishirzi, A Kembhavi arXiv preprint arXiv:2009.11278, 2020 | 18 | 2020 |
| Spatially aware multimodal transformers for textvqa Y Kant, D Batra, P Anderson, A Schwing, D Parikh, J Lu, H Agrawal Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 16 | 2020 |
| Palmprint and face multi-modal biometric recognition based on SDA-GSVD and its kernelization XY Jing, S Li, WQ Li, YF Yao, C Lan, JS Lu, JY Yang Sensors 12 (5), 5551-5571, 2012 | 10 | 2012 |
Devi ParikhGeorgia Tech, Facebook AI Research在 gatech.edu 的电子邮件经过验证
