publications

2025

  1. Preprint
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    ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning
    Chi-Pin Huang , Yueh-Hua Wu , Min-Hung Chen, Yu-Chiang Frank Wang, and Fu-En Yang
    arXiv preprint arXiv:2507.16815, 2025
    arXiv Website
  2. ICCV 2025
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    Continual Personalization for Diffusion Models
    Yu-Chien Liao, Jr-Jen Chen, Chi-Pin Huang, Ci-Siang Lin , Meng-Lin Wu, and Yu-Chiang Frank Wang
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025
  3. ICCVW 2025
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    MotionMatcher: Motion Customization of Text-to-Video Diffusion Models via Motion Feature Matching
    Yen-Siang Wu, Chi-Pin Huang, Fu-En Yang, and Yu-Chiang Frank Wang
    ICCV 2025 Workshop on P13N: Personalization in Generative AI, 2025
    arXiv Code Website
  4. CVPR 2025
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    VideoMage: Multi-Subject and Motion Customization of Text-to-Video Diffusion Models
    Chi-Pin Huang, Yen-Siang Wu, Hung-Kai Chung, Kai-Po Chang, Fu-En Yang, and Yu-Chiang Frank Wang
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
    arXiv PDF Website

2024

  1. ECCV 2024
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    Receler: Reliable concept erasing of text-to-image diffusion models via lightweight erasers
    Chi-Pin Huang*, Kai-Po Chang*, Chung-Ting Tsai, Yung-Hsuan Lai, Fu-En Yang, and Yu-Chiang Frank Wang
    In European Conference on Computer Vision (ECCV), 2024
    arXiv PDF Code Website
  2. ECCV 2024
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    Select and distill: Selective dual-teacher knowledge transfer for continual learning on vision-language models
    Yu-Chu Yu, Chi-Pin Huang, Jr-Jen Chen, Kai-Po Chang, Yung-Hsuan Lai, Fu-En Yang, and Yu-Chiang Frank Wang
    In European Conference on Computer Vision (ECCV), 2024
    arXiv PDF Code Website
  3. ICLR 2024
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    Rapper: Reinforced rationale-prompted paradigm for natural language explanation in visual question answering
    Kai-Po Chang, Chi-Pin Huang, Wei-Yuan Cheng, Fu-En Yang , Chien-Yi Wang, Yung-Hsuan Lai, and Yu-Chiang Frank Wang
    In The Twelfth International Conference on Learning Representations (ICLR), 2024
    PDF