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Changsheng Xu
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ProSpect: Expanded Conditioning for the Personalization of Attribute-aware Image Generation


May 25, 2023
Yuxin Zhang, Weiming Dong, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Oliver Deussen, Changsheng Xu

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Camera-Incremental Object Re-Identification with Identity Knowledge Evolution


May 25, 2023
Hantao Yao, Lu Yu, Jifei Luo, Changsheng Xu

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CLIP-VG: Self-paced Curriculum Adapting of CLIP via Exploiting Pseudo-Language Labels for Visual Grounding


May 15, 2023
Linhui Xiao, Xiaoshan Yang, Fang Peng, Ming Yan, Yaowei Wang, Changsheng Xu

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* 16 pages, 12 figures. Code will be released at https://github.com/linhuixiao/CLIP-VG 
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Visual-Language Prompt Tuning with Knowledge-guided Context Optimization


Mar 23, 2023
Hantao Yao, Rui Zhang, Changsheng Xu

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* accepted by CVPR23 
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Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias


Mar 01, 2023
Shangxi Wu, Qiuyang He, Fangzhao Wu, Jitao Sang, Yaowei Wang, Changsheng Xu

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Region-Aware Diffusion for Zero-shot Text-driven Image Editing


Feb 23, 2023
Nisha Huang, Fan Tang, Weiming Dong, Tong-Yee Lee, Changsheng Xu

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GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis


Jan 30, 2023
Ming Tao, Bing-Kun Bao, Hao Tang, Changsheng Xu

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* 11 pages 
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Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples


Dec 31, 2022
Jiaming Zhang, Xingjun Ma, Qi Yi, Jitao Sang, Yugang Jiang, Yaowei Wang, Changsheng Xu

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SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification


Nov 28, 2022
Fang Peng, Xiaoshan Yang, Changsheng Xu

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Inversion-Based Creativity Transfer with Diffusion Models


Nov 23, 2022
Yuxin Zhang, Nisha Huang, Fan Tang, Haibin Huang, Chongyang Ma, Weiming Dong, Changsheng Xu

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