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2020 – today
- 2024
[j2]Huanzhang Dou
, Pengyi Zhang, Yuhan Zhao, Lin Dong, Zequn Qin, Xi Li:
GaitMPL: Gait Recognition With Memory-Augmented Progressive Learning. IEEE Trans. Image Process. 33: 1464-1475 (2024)- [c6]Wei Su, Peihan Miao, Huanzhang Dou, Xi Li:
ScanFormer: Referring Expression Comprehension by Iteratively Scanning. CVPR 2024: 13449-13458 - [i14]Yike Yuan, Huanzhang Dou, Fengjun Guo, Xi Li:
SemanticMIM: Marring Masked Image Modeling with Semantics Compression for General Visual Representation. CoRR abs/2406.10673 (2024) - [i13]Wei Su, Peihan Miao, Huanzhang Dou, Xi Li:
ScanFormer: Referring Expression Comprehension by Iteratively Scanning. CoRR abs/2406.18048 (2024) - [i12]Huanzhang Dou, Ruixiang Li, Wei Su, Xi Li:
GVDIFF: Grounded Text-to-Video Generation with Diffusion Models. CoRR abs/2407.01921 (2024) - [i11]Huanzhang Dou, Pengyi Zhang, Yuhan Zhao, Lu Jin, Xi Li:
CLASH: Complementary Learning with Neural Architecture Search for Gait Recognition. CoRR abs/2407.03632 (2024) - [i10]Lianghua Huang, Wei Wang, Zhi-Fan Wu, Huanzhang Dou, Yupeng Shi, Yutong Feng, Chen Liang, Yu Liu, Jingren Zhou:
Group Diffusion Transformers are Unsupervised Multitask Learners. CoRR abs/2410.15027 (2024) - [i9]Lianghua Huang, Wei Wang, Zhi-Fan Wu, Yupeng Shi, Huanzhang Dou, Chen Liang, Yutong Feng, Yu Liu, Jingren Zhou:
In-Context LoRA for Diffusion Transformers. CoRR abs/2410.23775 (2024) - [i8]Liang Chen, Lianghua Huang, Jingwu Fang, Huanzhang Dou, Wei Wang, Zhi-Fan Wu, Yupeng Shi, Junge Zhang, Xin Zhao, Yu Liu:
IDEA-Bench: How Far are Generative Models from Professional Designing? CoRR abs/2412.11767 (2024) - [i7]Lianghua Huang, Wei Wang, Zhi-Fan Wu, Yupeng Shi, Liang Chen, Tong Shen, Han Zhang, Huanzhang Dou, Yu Liu, Jingren Zhou:
ChatDiT: A Training-Free Baseline for Task-Agnostic Free-Form Chatting with Diffusion Transformers. CoRR abs/2412.12571 (2024) - 2023
- [j1]Pengyi Zhang, Huanzhang Dou, Wenhu Zhang, Yuhan Zhao, Zequn Qin, Dongping Hu, Yi Fang, Xi Li:
A Large-Scale Synthetic Gait Dataset Towards in-the-Wild Simulation and Comparison Study. ACM Trans. Multim. Comput. Commun. Appl. 19(1): 17:1-17:23 (2023) - [c5]Wei Su, Peihan Miao, Huanzhang Dou, Yongjian Fu, Xi Li:
Referring Expression Comprehension Using Language Adaptive Inference. AAAI 2023: 2357-2365 - [c4]Huanzhang Dou, Pengyi Zhang, Wei Su, Yunlong Yu, Yining Lin, Xi Li:
GaitGCI: Generative Counterfactual Intervention for Gait Recognition. CVPR 2023: 5578-5588 - [c3]Wei Su, Peihan Miao, Huanzhang Dou, Gaoang Wang, Liang Qiao, Zheyang Li, Xi Li:
Language Adaptive Weight Generation for Multi-Task Visual Grounding. CVPR 2023: 10857-10866 - [i6]Huanzhang Dou, Pengyi Zhang, Wei Su, Yunlong Yu, Yining Lin, Xi Li:
GaitGCI: Generative Counterfactual Intervention for Gait Recognition. CoRR abs/2306.03428 (2023) - [i5]Huanzhang Dou, Pengyi Zhang, Wei Su, Yunlong Yu, Xi Li:
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition. CoRR abs/2306.03445 (2023) - [i4]Wei Su, Peihan Miao, Huanzhang Dou, Yongjian Fu, Xi Li:
Referring Expression Comprehension Using Language Adaptive Inference. CoRR abs/2306.04451 (2023) - [i3]Huanzhang Dou, Pengyi Zhang, Yuhan Zhao, Lin Dong, Zequn Qin, Xi Li:
GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning. CoRR abs/2306.04650 (2023) - [i2]Wei Su, Peihan Miao, Huanzhang Dou, Gaoang Wang, Liang Qiao, Zheyang Li, Xi Li:
Language Adaptive Weight Generation for Multi-task Visual Grounding. CoRR abs/2306.04652 (2023) - 2022
- [c2]Pengyi Zhang, Huanzhang Dou, Yunlong Yu, Xi Li:
Adaptive Cross-domain Learning for Generalizable Person Re-identification. ECCV (14) 2022: 215-232 - [c1]Huanzhang Dou, Pengyi Zhang, Wei Su, Yunlong Yu, Xi Li:
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition. ECCV (5) 2022: 357-374 - 2021
- [i1]Huanzhang Dou, Wenhu Zhang, Pengyi Zhang, Yuhan Zhao, Songyuan Li, Zequn Qin, Fei Wu, Lin Dong, Xi Li:
VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios. CoRR abs/2101.01394 (2021)
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