Liang An | Homepage

Liang An (安亮)

anliang at mail(dot)tsinghua(dot)edu(dot)cn [Github] [Google Scholar]

About me

I am a Postdoc Researcher at Department of Automation, Tsinghua University, China. I am collaborating with Prof. Yebin Liu in Institute for Brain and Cognitive Sciences. I also work closely with Prof. Yichang Jia from Deparment of Medicine. I focus on 3D computer vision and its application in agriculture, biology and medicine. Currently I serve as an independent reviewer for conferences such as ICCV, CVPR, ECCV, 3DV, AAAI, ICLR, NeurIPS, WACV and ACCV, also for journals such as IJCV.

News:

2024.07 I work as a Postdoc Researcher at Tsinghua University now!
2024.06 I successfully defend my thesis!
2023.11 Our "MAMMAL" system is published online in Nature Communications now!
2023.10 One paper accepted to NeurIPS 2023, which focused on mouse 3D keypoints estimation.
2022.05 Selected as an outstanding reviewer for CVPR 2022.
2022.03 One paper accepted to CVPR 2022 as oral presentation.
2021.08 One paper accepted to ICCV 2021.

Work Experience

Jul. 2024 - Now, Department of Automation, Tsinghua University,

Postdoc

Education

Aug. 2017 - Jun. 2024, Department of Automation, Tsinghua University,

Doctor of Philosophy

Aug. 2013 - Jul. 2017, Department of Automation, Tsinghua University,

Bachelor of Engineering.

Publications

	ManiDext: Hand-Object Manipulation Synthesis via Continuous Correspondence Embeddings and Residual-Guided Diffusion Jiajun Zhang, Yuxiang Zhang, Liang An, Mengcheng Li, Hongwen Zhang, Zonghai Hu, Yebin Liu* In arXiv [Paper] [Project Page]
	Three-dimensional surface motion capture of multiple freely moving pigs using MAMMAL Liang An, Jilong Ren, Tao Yu, Tang Hai, Yichang Jia, Yebin Liu* (=corresponding author) In Nature Communications 2023* [Paper] [Code] [Code for mouse] [Project]
	Triangulation Residual Loss for Data-efficient 3D Pose Estimation Jiachen Zhao, Tao Yu, Liang An, Yipeng Huang, Fang Deng, Qionghai Dai In NeurIPS 2023
	PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images Hongwen Zhang, Yating Tian, Yuxiang Zhang, Mengcheng Li, Liang An, Zhenan Sun, Yebin Liu In TPAMI 2023 [Project Page]
	Delving Deep into Pixel Alignment Feature for Accurate Multi-view Human Mesh Recovery Kai Jia, Hongwen Zhang, Liang An, Yebin Liu In AAAI 2023 [Project Page]
	Real-time Sparse-view Multi-person Total Motion Capture Yuxiang Zhang, Zeping Ren, Liang An, Hongwen Zhang, Tao Yu, Yebin Liu [Project Page]
	Interacting Attention Graph for Single Image Two-Hand Reconstruction Mengcheng Li, Liang An, Hongwen Zhang, Lianpeng Wu, Feng Chen, Tao Yu, Yebin Liu In CVPR 2022 (oral), acceptance rate 4.2% [Project Page]
	Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras Yuxiang Zhang, Zhe Li, Liang An, Mengcheng Li, Tao Yu, Yebin Liu (=corresponding author) In ICCV 2021* [Project Page]
	4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras Yuxiang Zhang#, Liang An#, Tao Yu, Xiu Li, Kun Li and Yebin Liu (#=equal contribution) In CVPR 2020 (oral) [Project Page]
	DDRNet: Depth Map Denoising and Refinement for Consumer Depth Cameras Using Cascaded CNNs Shi Yan, Chenglei Wu, Lizhen Wang, Feng Xu, Liang An, Kaiwen Guo and Yebin Liu In ECCV 2018 [PDF] [video]

Teaching

TA, Data Structure(Since Spring 2018)
TA, C++ Programme Design and Training(Summer 2018)