Liu Liu

@inproceedings{zhang2025gapt,
  title = {GaPT-DAR: Category-level Garments Pose Tracking via Integrated 2D Deformation and 3D Reconstruction},
  author = {Zhang, Li and Xu, Mingliang and Wang, Jianan and Yu, Qiaojun and Yang, Lixin and Li, Yonglu and Lu, Cewu and Wang, Rujing and Liu, Liu},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
  pages = {22638--22647},
  year = {2025},
  doi = {10.1109/CVPR52734.2025.02108},
}

@inproceedings{zhang2025r,
  title = {R2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy},
  author = {Zhang, Li and Jiang, Haonan and Huo, Yukang and Zhong, Yan and Wang, Jianan and Wang, Xue and Wang, Rujing and Liu, Liu},
  booktitle = {the AAAI Conference on Artificial Intelligence},
  volume = {39},
  number = {9},
  pages = {9985--9993},
  year = {2025},
  doi = {10.1609/aaai.v39i9.33083},
}

@article{zhang2025rethinking,
  author = {Zhang, Li and Li, Dong and Zhong, Yan and Zhu, Jiaying and Wang, Rujing and Wu, Xingyu and Wang, Xue and Liu, Liu},
  journal = {IEEE Transactions on Emerging Topics in Computational Intelligence},
  title = {Rethinking Image Forgery Detection and Localization via Regression Perspective},
  year = {2025},
  volume = {},
  number = {},
  pages = {1-13},
  doi = {10.1109/TETCI.2025.3543837},
}

@inproceedings{yuefficientcaper,
  title = {EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation},
  author = {Yu, Xinyi and Jiang, Haonan and Zhang, Li and Wu, Lin Yuanbo and Ou, Linlin and Liu, Liu},
  booktitle = {Conference on Neural Information Processing Systems},
  year = {2025},
}

@inproceedings{zhangrethinking,
  title = {Rethinking 3D Convolution in lp $-norm Space},
  author = {Zhang, Li and Zhong, Yan and Wang, Jianan and Min, Zhe and Liu, Liu and others},
  booktitle = {Conference on Neural Information Processing Systems},
  year = {2025},
}

@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},
}

@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},
}

@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},
}

@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},
}

@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},
}

@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},
}