Liu Liu

Affiliations. Hefei University of Technology

prof_pic.jpg

I am an associate professor at Laboratory of Media Computing Hefei University of Technology (HFUT) under Prof. Meng Wang and Prof. Richang Hong. I received the B.S. degree from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2015, and the Ph.D. degree from the University of Science and Technology of China, Hefei, China, under the guidance of Prof. Rujing Wang in 2020. I was a Postdoctoral Researcher with Shanghai Jiao Tong University, China, working under Prof. Cewu Lu, from 2020 to 2022. I published over 40 SCI and conference papers including CVPR, TIP, TII, ICRA, ACMMM, AAAI and BMVC. His co-aurhors include Prof. Rujing Wang, Prof. Cewu Lu, Prof. Meng Wang, Prof. Richang Hong. I host one National Natural Science Fundation of China (Youth Program) and one Anhui Provincial Natural Science Foundation (Youth Program). My research interests fall mainly in Computer Vision, Deep Learning, 6D Pose Estimation and Embodied AI.

news

Jun 16, 2025 Two papers have been accepted by the IROS 2025 (IEEE/RSJ International Conference on Intelligent Robots and Systems). ! :sparkles: :smile:
Apr 29, 2025 One paper has been accepted by the IJCAI 2025 (International Joint Conference on Artificial Intelligence). ! :sparkles: :smile:
Mar 20, 2025 One paper has been accepted by the ICME 2025 (IEEE International Conference on Multimedia & Expo). ! :sparkles: :smile:
Feb 26, 2025 One paper has been accepted by the CVPR 2025 (IEEE Conference on Computer Vision and Pattern Recognition). ! :sparkles: :smile:
Feb 01, 2025 One paper has been accepted by the IEEE TETCI (IEEE Transactions on Emerging Topics in Computational Intelligence). ! :sparkles: :smile:

selected publications

  1. GaPT-DAR.png
    GaPT-DAR: Category-level Garments Pose Tracking via Integrated 2D Deformation and 3D Reconstruction
    Li Zhang, Mingliang Xu, Jianan Wang, and 6 more authors
    In IEEE Conference on Computer Vision and Pattern Recognition, 2025
  2. R2Art.png
    R2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy
    Li Zhang, Haonan Jiang, Yukang Huo, and 5 more authors
    In the AAAI Conference on Artificial Intelligence, 2025
  3. CSR-Net.png
    Rethinking Image Forgery Detection and Localization via Regression Perspective
    Li Zhang, Dong Li, Yan Zhong, and 5 more authors
    IEEE Transactions on Emerging Topics in Computational Intelligence, 2025
  4. EfficientCAPER.jpg
    EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation
    Xinyi Yu, Haonan Jiang, Li Zhang, and 3 more authors
    In Conference on Neural Information Processing Systems, 2025
  5. Rethinking.png
    Rethinking 3D Convolution in lp $-norm Space
    Li Zhang, Yan Zhong, Jianan Wang, and 3 more authors
    In Conference on Neural Information Processing Systems, 2025
  6. U-COPE.png
    U-COPE: Taking a Further Step to Universal 9D Category-Level Object Pose Estimation
    Li Zhang, Weiqing Meng, Yan Zhong, and 6 more authors
    In European Conference on Computer Vision, 2025
  7. KPA-Tracker.png
    KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking
    Liu Liu, Anran Huang, Qi Wu, and 3 more authors
    In the AAAI Conference on Artificial Intelligence, 2024
  8. ArtPERL.png
    Category-level articulated object 9d pose estimation via reinforcement learning
    Liu Liu, Jianming Du, Hao Wu, and 4 more authors
    In Proceedings of the 31st ACM International Conference on Multimedia, 2023
  9. AKB-48.png
    Akb-48: A real-world articulated object knowledge base
    Liu Liu, Wenqiang Xu, Haoyuan Fu, and 4 more authors
    In IEEE Conference on Computer Vision and Pattern Recognition, 2022
  10. OakInk.png
    Oakink: A large-scale knowledge repository for understanding hand-object interaction
    Lixin Yang, Kailin Li, Xinyu Zhan, and 4 more authors
    In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2022
  11. ReArtNet.png
    Toward real-world category-level articulation pose estimation
    Liu Liu, Han Xue, Wenqiang Xu, and 2 more authors
    IEEE Transactions on Image Processing, 2022