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2020 – today
- 2024
[c5]Chen Ju
, Haicheng Wang, Haozhe Cheng, Xu Chen, Zhonghua Zhai, Weilin Huang, Jinsong Lan, Shuai Xiao, Bo Zheng:
Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models. ECCV (46) 2024: 436-455- [c4]Zhengze Xu, Mengting Chen, Zhao Wang, Linyu Xing, Zhonghua Zhai, Nong Sang, Jinsong Lan, Shuai Xiao, Changxin Gao:
Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos. ACM Multimedia 2024: 3199-3208 - [i5]Mengting Chen, Xi Chen, Zhonghua Zhai, Chen Ju, Xuewen Hong, Jinsong Lan, Shuai Xiao:
Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment. CoRR abs/2403.12965 (2024) - [i4]Zhengze Xu, Mengting Chen, Zhao Wang, Linyu Xing, Zhonghua Zhai, Nong Sang, Jinsong Lan, Shuai Xiao, Changxin Gao:
Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos. CoRR abs/2404.17571 (2024) - [i3]Chen Ju, Haicheng Wang, Haozhe Cheng, Xu Chen, Zhonghua Zhai, Weilin Huang, Jinsong Lan, Shuai Xiao, Bo Zheng:
Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models. CoRR abs/2407.11717 (2024) - 2023
- [c3]Zhonghua Zhai:
Cell Variational Information Bottleneck Network. ACML 2023: 1606-1621 - [i2]Zida Cheng, Shuai Xiao, Zhonghua Zhai, Xiaoyi Zeng, Weilin Huang:
Mixer: Image to Multi-Modal Retrieval Learning for Industrial Application. CoRR abs/2305.03972 (2023) - [i1]Chen Ju, Haicheng Wang, Zeqian Li, Xu Chen, Zhonghua Zhai, Weilin Huang, Shuai Xiao:
Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Models. CoRR abs/2312.07408 (2023) - 2021
- [c2]Zhonghua Zhai, Pengju Yang, Xiaofeng Zhang, Maji Huang, Haijing Cheng, Xuejun Yan, Chunmao Wang, Shiliang Pu:
Demodalizing Face Recognition with Synthetic Samples. AAAI 2021: 3278-3286
2010 – 2019
- 2018
- [j1]Zhonghua Zhai:
Auto-encoder generative adversarial networks. J. Intell. Fuzzy Syst. 35(3): 3043-3049 (2018) - [c1]Zhonghua Zhai, Jian Zhai:
Identity-preserving Conditional Generative Adversarial Network. IJCNN 2018: 1-5
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