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Hexiang (Frank) Hu
Hexiang (Frank) Hu
Other namesHexiang Hu, Frank Hu
xAI
Verified email at x.ai - Homepage
Title
Cited by
Cited by
Year
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
Technical Report, 2023
22092023
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
938*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
4092017
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
3012016
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
299*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
2552021
Pix2Struct: Screenshot parsing as pretraining for visual language understanding
K Lee, M Joshi, I Turc, H Hu, F Liu, J Eisenschlos, U Khandelwal, P Shaw, ...
ICML 2023, 2023
2242023
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
1992018
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
182*2016
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
1642018
On Scaling Up a Multilingual Vision and Language Model
X Chen, J Djolonga, P Padlewski, B Mustafa, S Changpinyo, J Wu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
151*2024
Subject-driven text-to-image generation via apprenticeship learning
W Chen, H Hu, Y Li, N Ruiz, X Jia, MW Chang, WW Cohen
NeurIPS 2024 36, 2024
1492024
Re-imagen: Retrieval-augmented text-to-image generator
W Chen, H Hu, C Saharia, WW Cohen
ICLR 2023, 2022
1472022
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text
W Chen, H Hu, X Chen, P Verga, WW Cohen
EMNLP 2022, 2022
1012022
Multi-Task Learning for Sequence Tagging: An Empirical Study
S Changpinyo, H Hu, F Sha
Proceedings of the International Conference on Computational Linguistics …, 2018
832018
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
HJ Ye, H Hu, DC Zhan
International Journal of Computer Vision, 2021
822021
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
792020
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
60*2018
From pixels to ui actions: Learning to follow instructions via graphical user interfaces
P Shaw, M Joshi, J Cohan, J Berant, P Pasupat, H Hu, U Khandelwal, ...
NeurIPS 2024 36, 2024
592024
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?
Y Chen, H Hu, Y Luan, H Sun, S Changpinyo, A Ritter, MW Chang
EMNLP 2023, 2023
592023
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