| Few-shot learning via embedding adaptation with set-to-set functions HJ Ye, H Hu, DC Zhan, F Sha Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 527* | 2020 |
| Compressed Video Action Recognition CY Wu, M Zaheer, H Hu, R Manmatha, AJ Smola, P Krähenbühl Computer Vision and Pattern Recognition (CVPR), 2018 Proceedings of …, 2017 | 293 | 2017 |
| Structure inference machines: Recurrent neural networks for analyzing relations in group activity recognition Z Deng, A Vahdat, H Hu, G Mori Computer Vision and Pattern Recognition (CVPR), 2016 Proceedings of IEEE …, 2016 | 254 | 2016 |
| Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation R Vuorio, SH Sun, H Hu, JJ Lim Advances in Neural Information Processing Systems (NeurIPS) 2019, 2019 | 203* | 2019 |
| Learning structured inference neural networks with label relations H Hu, GT Zhou, Z Deng, Z Liao, G Mori Computer Vision and Pattern Recognition (CVPR), 2016 Proceedings of IEEE …, 2016 | 157 | 2016 |
| Engaging image captioning via personality K Shuster, S Humeau, H Hu, A Bordes, J Weston Computer Vision and Pattern Recognition (CVPR), 2019 Proceedings of IEEE …, 2018 | 136 | 2018 |
| Cross-Modal and Hierarchical Modeling of Video and Text B Zhang, H Hu, F Sha Proceedings of the European Conference on Computer Vision (ECCV), 2018 | 111 | 2018 |
| Learning the best pooling strategy for visual semantic embedding J Chen, H Hu, H Wu, Y Jiang, C Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 92 | 2021 |
| Multi-Task Learning for Sequence Tagging: An Empirical Study S Changpinyo, H Hu, F Sha Proceedings of the International Conference on Computational Linguistics …, 2018 | 66 | 2018 |
| BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps W Zhu, H Hu, J Chen, Z Deng, V Jain, E Ie, F Sha ACL 2020, 2020 | 52 | 2020 |
| Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning HJ Ye, H Hu, DC Zhan International Journal of Computer Vision, 2021 | 46 | 2021 |
| Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets WL Chao, H Hu, F Sha The North American Chapter of the Association for Computational Linguistics …, 2018 | 44* | 2018 |
| Cross-Dataset Adaptation for Visual Question Answering WL Chao, H Hu, F Sha Computer Vision and Pattern Recognition (CVPR), 2018 Proceedings of IEEE …, 2018 | 39 | 2018 |
| FastMask: Segment Multi-scale Object Candidates in One Shot H Hu, S Lan, Y Jiang, Z Cao, F Sha Computer Vision and Pattern Recognition (CVPR), 2017 Proceedings of IEEE …, 2016 | 35 | 2016 |
| Learning Answer Embeddings for Visual Question Answering H Hu, WL Chao, F Sha Computer Vision and Pattern Recognition (CVPR), 2018 Proceedings of IEEE …, 2018 | 33 | 2018 |
| Labelbank: Revisiting global perspectives for semantic segmentation H Hu, Z Deng, GT Zhou, F Sha, G Mori arXiv preprint arXiv:1703.09891, 2017 | 24* | 2017 |
| On Model Calibration for Long-Tailed Object Detection and Instance Segmentation TY Pan, C Zhang, Y Li, H Hu, D Xuan, S Changpinyo, B Gong, WL Chao NeurIPS 2021, 2021 | 21 | 2021 |
| MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection C Zhang, TY Pan, Y Li, H Hu, D Xuan, S Changpinyo, B Gong, WL Chao ICCV 2021, 2021 | 19 | 2021 |
| Evaluating text-to-image matching using binary image selection (bison) H Hu, I Misra, L Van Der Maaten Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 18* | 2019 |
| Learning to Represent Image and Text with Denotation Graph B Zhang, H Hu, V Jain, E Ie, F Sha EMNLP 2020, 2020 | 17 | 2020 |
