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Cheng-Chun Hsu

PhD student
The University of Texas at Austin
chengchun (at) utexas.edu


About Me

I am a Ph.D. student in Computer Science at the University of Texas at Austin. My research lies at the intersection of robotics and computer vision.

Publications [Google Scholar]

  1. SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric Manipulation
    Cheng-Chun Hsu, Bowen Wen, Jie Xu, Yashraj Narang, Xiaolong Wang, Yuke Zhu, Joydeep Biswas, Stan Birchfield
    In submission.
    Project Page Paper

  2. KinScene: Model-Based Mobile Manipulation of Articulated Scenes
    Cheng-Chun Hsu, Ben Abbatematteo, Zhenyu Jiang, Yuke Zhu, Roberto Martín-Martín, Joydeep Biswas
    Mobile Manipulation Workshop at ICRA, 2024.
    Oral Presentation
    Project Page Paper

  3. Ditto in the House: Building Articulated Models of Indoor Scenes through Interactive Perception
    Cheng-Chun Hsu, Zhenyu Jiang, Yuke Zhu
    International Conference on Robotics and Automation (ICRA), 2023.
    Project Page Paper Code

  4. Ditto: Building Digital Twins of Articulated Objects from Interaction
    Zhenyu Jiang, Cheng-Chun Hsu, Yuke Zhu
    Computer Vision and Pattern Recognition (CVPR), 2022.
    Oral Presentation
    Project Page Paper Code

  5. Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector
    Cheng-Chun Hsu, Yi-Hsuan Tsai, Yen-Yu Lin, and Ming-Hsuan Yang
    European Conference on Computer Vision (ECCV), 2020.
    Project Page Paper Code

  6. Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior
    Cheng-Chun Hsu*, Kuang-Jui Hsu*, Chung-Chi Tsai, Yen-Yu Lin, and Yung-Yu Chuang
    Neural Information Processing Systems (NeurIPS), 2019.
    Paper Code

  7. What Dress Fits Me Best? Fashion Recommendation on the Clothing Style for Personal Body Shape
    Shintami Chusnul Hidayati, Cheng-Chun Hsu, Yu-Ting Chang, Kai-Lung Hua, Jianlong Fu, and Wen-Huang Cheng
    ACM International Conference on Multimedia (MM), 2018.
    Oral Presentation
    Paper

Technical Reports

  1. Center-context-gap Refinement for Weakly Supervised Instance Segmentation
    Cheng-Chun Hsu*, Kuang-Jui Hsu*, Chiachen Ho, Yen-Yu Lin, and Yung-Yu Chuang
    Technical report, 2019.
    Paper


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