Liu Liu

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

Feb 01, 2025	One paper has been accepted by the IEEE TETCI 2024 (IEEE Transactions on Emerging Topics in Computational Intelligence). !
Jan 28, 2025	One paper has been accepted by the ICRA 2025 (IEEE International Conference on Robotics and Automation). !
Jan 09, 2025	One paper has been accepted by the IEEE TIM (IEEE Transactions on Instrumentation & Measurement). !
Dec 21, 2024	Two paper have been accepted by the ICASSP 2025 (IEEE International Conference on Acoustics, Speech and Signal Processing). !
Dec 10, 2024	One paper has been accepted by the AAAI 2025 (The AAAI Conference on Artificial Intelligence). !

selected publications

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

DOI Bib HTML PDF

@inproceedings{zhang2025u,
  title = {U-COPE: Taking a Further Step to Universal 9D Category-Level Object Pose Estimation},
  author = {Zhang, Li and Meng, Weiqing and Zhong, Yan and Kong, Bin and Xu, Mingliang and Du, Jianming and Wang, Xue and Wang, Rujing and Liu, Liu},
  booktitle = {European Conference on Computer Vision},
  pages = {254--270},
  year = {2025},
  organization = {Springer},
  doi = {10.1007/978-3-031-72684-2_15},
}

Gamma: Generalizable articulation modeling and manipulation for articulated objects

Qiaojun Yu, Junbo Wang, Wenhai Liu, and 5 more authors

In IEEE International Conference on Robotics and Automation, 2024

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@inproceedings{yu2024gamma,
  title = {Gamma: Generalizable articulation modeling and manipulation for articulated objects},
  author = {Yu, Qiaojun and Wang, Junbo and Liu, Wenhai and Hao, Ce and Liu, Liu and Shao, Lin and Wang, Weiming and Lu, Cewu},
  booktitle = {IEEE International Conference on Robotics and Automation},
  pages = {5419--5426},
  year = {2024},
  organization = {IEEE},
  doi = {10.1109/ICRA57147.2024.10610652},
}

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

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@inproceedings{liu2024kpa,
  title = {KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking},
  author = {Liu, Liu and Huang, Anran and Wu, Qi and Guo, Dan and Yang, Xun and Wang, Meng},
  booktitle = {the AAAI Conference on Artificial Intelligence},
  volume = {38},
  number = {4},
  pages = {3684--3692},
  year = {2024},
  doi = {10.1609/aaai.v38i4.28158},
}

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

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@inproceedings{liu2023category,
  title = {Category-level articulated object 9d pose estimation via reinforcement learning},
  author = {Liu, Liu and Du, Jianming and Wu, Hao and Yang, Xun and Liu, Zhenguang and Hong, Richang and Wang, Meng},
  booktitle = {Proceedings of the 31st ACM International Conference on Multimedia},
  pages = {728--736},
  year = {2023},
  doi = {10.1145/3581783.3611852},
}

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

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@inproceedings{liu2022akb,
  title = {Akb-48: A real-world articulated object knowledge base},
  author = {Liu, Liu and Xu, Wenqiang and Fu, Haoyuan and Qian, Sucheng and Yu, Qiaojun and Han, Yang and Lu, Cewu},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
  pages = {14809--14818},
  year = {2022},
  doi = {10.1109/CVPR52688.2022.01439},
}

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

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@inproceedings{yang2022oakink,
  title = {Oakink: A large-scale knowledge repository for understanding hand-object interaction},
  author = {Yang, Lixin and Li, Kailin and Zhan, Xinyu and Wu, Fei and Xu, Anran and Liu, Liu and Lu, Cewu},
  booktitle = {Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages = {20953--20962},
  year = {2022},
  doi = {10.1109/CVPR52688.2022.02028},
}

Toward real-world category-level articulation pose estimation

Liu Liu, Han Xue, Wenqiang Xu, and 2 more authors

IEEE Transactions on Image Processing, 2022

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@article{liu2022toward,
  title = {Toward real-world category-level articulation pose estimation},
  author = {Liu, Liu and Xue, Han and Xu, Wenqiang and Fu, Haoyuan and Lu, Cewu},
  journal = {IEEE Transactions on Image Processing},
  volume = {31},
  pages = {1072--1083},
  publisher = {IEEE},
  year = {2022},
  doi = {10.1109/TIP.2021.3138644},
}