Hexiang Hu
Hexiang Hu
Google
在 ucla.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
2012016
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
193*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
1932017
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
1322016
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
96*2019
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
722018
Multi-Task Learning for Sequence Tagging: An Empirical Study
S Changpinyo, H Hu, F Sha
Proceedings of the International Conference on Computational Linguistics …, 2018
552018
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
332018
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
322018
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
282016
Cross-Dataset Adaptation for Visual Question Answering
WL Chao, H Hu, F Sha
Computer Vision and Pattern Recognition (CVPR), 2018 Proceedings of IEEE …, 2018
252018
Learning Answer Embeddings for Visual Question Answering
H Hu, WL Chao, F Sha
Computer Vision and Pattern Recognition (CVPR), 2018 Proceedings of IEEE …, 2018
252018
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
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
182020
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
HJ Ye, H Hu, DC Zhan
International Journal of Computer Vision, 2021
15*2021
Synthesized Policies for Transfer and Adaptation across Tasks and Environments
H Hu, L Chen, B Gong, F Sha
Advances in Neural Information Processing Systems (NeurIPS) 2018, 2018
112018
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
9*2019
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
52021
Drinking from a firehose: Continual learning with web-scale natural language
H Hu, O Sener, F Sha, V Koltun
arXiv preprint arXiv:2007.09335, 2020
52020
Compressed content object and action detection
R Manmatha, H Hu, D Ramanan
US Patent 10,528,819, 2020
42020
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