| Cnn-rnn: A unified framework for multi-label image classification J Wang, Y Yang, J Mao, Z Huang, C Huang, W Xu Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1671 | 2016 |
| Deep captioning with multimodal recurrent neural networks (m-rnn) J Mao arXiv preprint arXiv:1412.6632, 2014 | 1608 | 2014 |
| Generation and comprehension of unambiguous object descriptions J Mao, J Huang, A Toshev, O Camburu, AL Yuille, K Murphy Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1478 | 2016 |
| Are you talking to a machine? dataset and methods for multilingual image question H Gao, J Mao, J Zhou, Z Huang, L Wang, W Xu Advances in neural information processing systems 28, 2015 | 676 | 2015 |
| Explain images with multimodal recurrent neural networks J Mao, W Xu, Y Yang, J Wang, AL Yuille arXiv preprint arXiv:1410.1090, 2014 | 532 | 2014 |
| Attention correctness in neural image captioning C Liu, J Mao, F Sha, A Yuille Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 289 | 2017 |
| Learning like a child: Fast novel visual concept learning from sentence descriptions of images J Mao, X Wei, Y Yang, J Wang, Z Huang, AL Yuille Proceedings of the IEEE international conference on computer vision, 2533-2541, 2015 | 193 | 2015 |
| Training and evaluating multimodal word embeddings with large-scale web annotated images J Mao, J Xu, K Jing, AL Yuille Advances in neural information processing systems 29, 2016 | 107* | 2016 |
| Multilingual image question answering H Gao, J Mao, J Zhou, Z Huang, L Wang, W Xu US Patent 10,909,329, 2021 | 81 | 2021 |
| Stinet: Spatio-temporal-interactive network for pedestrian detection and trajectory prediction Z Zhang, J Gao, J Mao, Y Liu, D Anguelov, C Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 79 | 2020 |
| Multi-modal 3d human pose estimation with 2d weak supervision in autonomous driving J Zheng, X Shi, A Gorban, J Mao, Y Song, CR Qi, T Liu, V Chari, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 46 | 2022 |
| Learning from weakly supervised data by the expectation loss svm (e-svm) algorithm J Zhu, J Mao, AL Yuille Advances in neural information processing systems 27, 2014 | 41 | 2014 |
| Systems and methods for fast novel visual concept learning from sentence descriptions of images J Mao, W Xu, Y Yang, J Wang, Z Huang US Patent 10,504,010, 2019 | 38 | 2019 |
| Object action classification for autonomous vehicles J Mao, C Li, A Ayvaci, C Sun, K Murphy, YU Ruichi US Patent 11,061,406, 2021 | 34 | 2021 |
| Scale based region growing for scene text detection J Mao, H Li, W Zhou, S Yan, Q Tian Proceedings of the 21st ACM international conference on Multimedia, 1007-1016, 2013 | 34 | 2013 |
| Object classification using extra-regional context J Mao, Q Yu, C Li US Patent 10,977,501, 2021 | 22 | 2021 |
| Neural networks for coarse-and fine-object classifications J Mao, C Li, Y Song US Patent 10,867,210, 2020 | 22 | 2020 |
| An active patch model for real world texture and appearance classification J Mao, J Zhu, AL Yuille Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 19 | 2014 |
| Pedestrian crossing action recognition and trajectory prediction with 3d human keypoints J Li, X Shi, F Chen, J Stroud, Z Zhang, T Lan, J Mao, J Kang, KS Refaat, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 1463-1470, 2023 | 14 | 2023 |
| Training a classifier to detect open vehicle doors J Mao, LP Tsui, C Li, ES Walker US Patent 11,514,310, 2022 | 8 | 2022 |
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