avatar

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 working with Prof. Joydeep Biswas, Prof. Yuke Zhu, and Prof. Roberto Martín-Martín. My research lies at the intersection of robotics and computer vision. I am currently working on mobile manipulation.

Publications [Google Scholar]

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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


© 2022 Cheng-Chun Hsu. Powered by Jekyll with minimal-light theme.