Hao Chen

Zhejiang University. Email. Google Scholar

prof_pic.jpg

218 Mengminwei Building

Zijingang Campus, Zhejiang Univserity

Hangzhou, China

Hao Chen is a Reseach Professor in the College of Computer Science & the State Key Laboratory of CAD&CG at Zhejiang University. Before joining ZJU in 2022, he was a senior research at Huawei Noah’s Ark Lab (天才少年计划). He received his Ph.D degree in Adelaide Intelligent Machines Group at the University of Adelaide advised by Professor Chunhua Shen. Before coming to Adelaide he obtained his undergraduate and master degree from Zhejiang University, and had been a researcher in NetEase Inc.

His general research interest lies in foundation models of Computer Vision. His recent research involves:

Welcome any internship! If you want to apply for post-graduate degree, please contact me in advance!

有博后、科研助理、实习交流等岗位!如果想申请硕士、博士研究生,请提前进组实习,有科研产出的实习生将会优先录取!

news

Jul 24, 2025 Some recent cool demos released, 3D editing with Tinker, our new mobile manipulation system Odyssey.
Jul 24, 2025 Three papers accepted by ICCV 2025!
Mar 05, 2025 Six papers accepted by ICLR 2025 (two Spotlights)!

selected publications

  1. POMATO: Marrying Pointmap Matching with Temporal Motion for Dynamic 3D Reconstruction
    Songyan Zhang, Yongtao Ge, Jinyuan Tian, Guangkai Xu, Hao Chen, and 2 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
  2. SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories
    Muzhi Zhu, Yuzhuo Tian, Hao Chen, Chunluan Zhou, Qingpei Guo, and 3 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
  3. Framer: Interactive Frame Interpolation
    Wen Wang, Qiuyu Wang, Kecheng Zheng, Hao Ouyang, Zhekai Chen, and 4 more authors
    In The Thirteenth International Conference on Learning Representations, 2025
  4. Generative Active Learning for Long-tailed Instance Segmentation
    Muzhi Zhu, Chengxiang Fan, Hao Chen, Yang Liu, Weian Mao, and 2 more authors
    In Forty-First International Conference on Machine Learning, 2024
  5. Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
    Yang Liu, Muzhi Zhu, Hengtao Li, Hao Chen, Xinlong Wang, and 1 more author
    In The Twelfth International Conference on Learning Representations, 2024
  6. FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models
    Guangkai Xu, Wei Yin, Hao Chen, Chunhua Shen, Kai Cheng, and 1 more author
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
  7. What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?
    Guangkai Xu, Yongtao Ge, Mingyu Liu, Chengxiang Fan, Kangyang Xie, and 3 more authors
    In The Thirteenth International Conference on Learning Representations, 2024
  8. Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image
    Wei Yin, Chi Zhang, Hao Chen, Zhipeng Cai, Gang Yu, and 3 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
  9. Blendmask: Top-down meets bottom-up for instance segmentation
    Hao Chen, Kunyang Sun, Zhi Tian, Chunhua Shen, Yongming Huang, and 1 more author
    In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2020
  10. Abcnet: Real-time scene text spotting with adaptive bezier-curve network
    Yuliang Liu, Hao Chen, Chunhua Shen, Tong He, Lianwen Jin, and 1 more author
    In proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2020
  11. FCOS: Fully Convolutional One-Stage Object Detection
    Zhi Tian, Chunhua Shen, Hao Chen, and Tong He
    In Proceedings of the IEEE/CVF international conference on computer vision, 2019
  12. Fast neural architecture search of compact semantic segmentation models via auxiliary cells
    Vladimir Nekrasov, Hao Chen, Chunhua Shen, and Ian Reid
    In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2019