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2020 – today
- 2024
[j4]Xingjun Ma, Linxi Jiang, Hanxun Huang
, Zejia Weng, James Bailey, Yu-Gang Jiang:
Imbalanced gradients: a subtle cause of overestimated adversarial robustness. Mach. Learn. 113(5): 2301-2326 (2024)- [j3]Zuxuan Wu, Zejia Weng, Wujian Peng, Xitong Yang, Ang Li, Larry S. Davis, Yu-Gang Jiang:
Building an Open-Vocabulary Video CLIP Model With Better Architectures, Optimization and Data. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4747-4762 (2024) - [j2]Zejia Weng, Zuxuan Wu, Hengduo Li, Jingjing Chen, Yu-Gang Jiang:
HCMS: Hierarchical and Conditional Modality Selection for Efficient Video Recognition. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 35:1-35:18 (2024) - [i12]Zhen Xing, Qi Dai, Zejia Weng, Zuxuan Wu, Yu-Gang Jiang:
AID: Adapting Image2Video Diffusion Models for Instruction-guided Video Prediction. CoRR abs/2406.06465 (2024) - [i11]Zejia Weng, Xitong Yang, Zhen Xing, Zuxuan Wu, Yu-Gang Jiang:
GenRec: Unifying Video Generation and Recognition with Diffusion Models. CoRR abs/2408.15241 (2024) - 2023
- [j1]Rui Wang, Zuxuan Wu, Zejia Weng, Jingjing Chen, Guo-Jun Qi, Yu-Gang Jiang:
Cross-Domain Contrastive Learning for Unsupervised Domain Adaptation. IEEE Trans. Multim. 25: 1665-1673 (2023) - [c4]Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang:
Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization. ICML 2023: 36978-36989 - [i10]Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang:
Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization. CoRR abs/2302.00624 (2023) - [i9]Wujian Peng, Zejia Weng, Hengduo Li, Zuxuan Wu:
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning. CoRR abs/2305.12912 (2023) - [i8]Zuxuan Wu, Zejia Weng, Wujian Peng, Xitong Yang, Ang Li, Larry S. Davis, Yu-Gang Jiang:
Building an Open-Vocabulary Video CLIP Model with Better Architectures, Optimization and Data. CoRR abs/2310.05010 (2023) - [i7]Junke Wang, Lingchen Meng, Zejia Weng, Bo He, Zuxuan Wu, Yu-Gang Jiang:
To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning. CoRR abs/2311.07574 (2023) - 2022
- [c3]Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang:
Semi-supervised Vision Transformers. ECCV (30) 2022: 605-620 - 2021
- [c2]Xing Zhang, Zuxuan Wu, Zejia Weng, Huazhu Fu, Jingjing Chen, Yu-Gang Jiang, Larry Davis:
VideoLT: Large-scale Long-tailed Video Recognition. ICCV 2021: 7940-7949 - [c1]Zejia Weng, Lingchen Meng, Rui Wang, Zuxuan Wu, Yu-Gang Jiang:
A Multimodal Framework for Video Ads Understanding. ACM Multimedia 2021: 4843-4847 - [i6]Zejia Weng, Zuxuan Wu, Hengduo Li, Yu-Gang Jiang:
HMS: Hierarchical Modality Selection for Efficient Video Recognition. CoRR abs/2104.09760 (2021) - [i5]Xing Zhang, Zuxuan Wu, Zejia Weng, Huazhu Fu, Jingjing Chen, Yu-Gang Jiang, Larry Davis:
VideoLT: Large-scale Long-tailed Video Recognition. CoRR abs/2105.02668 (2021) - [i4]Rui Wang, Zuxuan Wu, Zejia Weng, Jingjing Chen, Guo-Jun Qi, Yu-Gang Jiang:
Cross-domain Contrastive Learning for Unsupervised Domain Adaptation. CoRR abs/2106.05528 (2021) - [i3]Zejia Weng, Lingchen Meng, Rui Wang, Zuxuan Wu, Yu-Gang Jiang:
A Multimodal Framework for Video Ads Understanding. CoRR abs/2108.12868 (2021) - [i2]Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang:
Semi-Supervised Vision Transformers. CoRR abs/2111.11067 (2021) - 2020
- [i1]Linxi Jiang, Xingjun Ma, Zejia Weng, James Bailey, Yu-Gang Jiang:
Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness. CoRR abs/2006.13726 (2020)
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