Liang An | Homepage

Liang An (安亮)

Assistant Professor

School of Intelligence Science and Technology, Nanjing University

Email: anliang_13thu (at) 163 (dot) com
[Github] [Google Scholar]

About me

I am an incoming Tenure-track Assistant Professor at School of Intelligence Science and Technology, Nanjing University. Previously, I was a Shuimu Postdoc Researcher at Department of Automation, Tsinghua University, collaborating with Prof. Yebin Liu. I also worked closely with Prof. Yichang Jia (Department of Medicine) on ALS disease modeling. From 2017 to 2024, I obtained my Ph.D. degree in Automation from Tsinghua University, under the supervision of Prof. Yebin Liu.

In Nanjing University, I will continue my research on Embodied 3D Vision and AI4Science, collaborating with Prof. Xun Cao. Specifically, I will design 3D Vision / Embodied AI algorithms for both humans and animals, and apply them to agriculture, neuroscience and medicine. I am actively recruiting prospective PhD students, master's students, and research interns who are passionate about Embodied 3D Vision and AI4Science. I am also open to academic and industrial collaborations. Please feel free to reach out (to my email).

Positions Available:

2027 Fall Ph.D. students (2-4), 2027 Fall Master students (>=1)

News:

2026.03 One paper accepted to CVPR 2026 (4DEquine at the year of horse)
2025.02 One paper accepted to CVPR 2025.
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

Aug. 2026 - Now, School of Intelligence Science and Technology, Nanjing University,

Tenure-track Assistant Professor

Jul. 2024 - Jun. 2026, 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

Academic Services

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.

Publications

#=co-first author *=corresponding author

	HiReFF: High-Resolution Feedforward Human Reconstruction from Uncalibrated Sparse-View Video Yiming Jiang, Hanzhang Tu, Wenfeng Song, Siyou Lin, Liang An, Shuai Li, Aimin Hao, Yebin Liu In ECCV 2026* [arxiv] [Project Page] [code]
	Animal World: A Cross-Species Dataset for Social Animal Pose Understanding Xuyi Hu#, Jin Lyu#, Shaojie Zhang, Ke Ma, Houtianfu Wang, Siwei Liu, Jiuming Liu, Silvia Zuffi, Jiachen Zhao, Liang An, Stefan Goetz In 2026* [Project Page] [Dataset(Hugging Face)]
	SAM 3D Animal: Promptable Animal 3D Reconstruction from Images in the Wild Xuyi Hu#, Jin Lyu#, Jiuming Liu, Yebin Liu, Silvia Zuffi, Liang An, Stefan Goetz In arxiv 2026* [arxiv] [Project Page] [Code]
	Mix3R: Mixing Feed-forward Reconstruction and Generative 3D Priors for Joint Multi-view Aligned 3D Reconstruction and Pose Estimation Siyou Lin, Zhou Xue, Hongwen Zhang, Liang An, Dongping Li, Shaohui Jiao, Yebin Liu In SIGGRAPH 2026 (Conference) [arxiv] [Project Page]
	4DEquine: Disentangling Motion and Appearance for 4D Equine Reconstruction from Monocular Video Jin Lyu, Liang An, Pujin Cheng, Yebin Liu, Xiaoying Tang* In CVPR 2026 [arxiv] [Project Page]
	Monocular Mesh Recovery and Body Measurement of Female Saanen Goats Bo Jin, Shichao Zhao, Jin Lyu, Bin Zhang, Tao Yu, Liang An, Yebin Liu, Meili Wang* In AAAI 2026 (AI for Social Impact track) [arxiv] [Code (coming soon)] [陕西日报]
	MoReMouse: Monocular Reconstruction of Laboratory Mouse Yuan Zhong#, Jingxiang Sun#, Zhongbin Zhang,Liang An, Yebin Liu In AAAI 2026 (Main track) [arxiv] [Project Page]
	SemanticSplat: Feed-Forward 3D Scene Understanding with Language-Aware Gaussian Fields Qijing Li#, Jingxiang Sun#, Zhongbin Zhang, Zhaoqi Su, Liang An, Hongwen Zhang, Yebin Liu In arxiv 2025 [arxiv] [Project Page]
	DanceAgent: Dance Movement Refinement with LLM Agent Cheng Shang, Xingyu Chen, Liang An, Jiajun Zhang, Yuxiang Zhang, Yebin Liu, Xubo Yang In IEEE TVCG 2025 [IEEE paper]
	Consistent 3D Human Reconstruction from Monocular Video: Learning Correctable Appearance and Temporal Motion Priors Cheng Shang, Liang An, Tingting Li, Jiajun Zhang, Yuxiang Zhang, Jidong Tian, Yebin Liu, Xubo Yang In IEEE TVCG 2025 [IEEE paper]
	AniMer+: Unified Pose and Shape Estimation Across Mammalia and Aves via Family-Aware Transformer Liang An#, Jin Lyu#, Li Lin, Pujin Cheng, Yebin Liu, Xiaoying Tang In TPAMI 2025 [IEEE paper] [arxiv] [Project Page] [Huggingface] [code]
	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 IEEE TPAMI 2025 [Paper] [Project Page]
	AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer Jin Lyu#, Tianyi Zhu#, Yi Gu, Li Lin, Pujin Cheng, Yebin Liu, Xiaoying Tang, Liang An In CVPR 2025 [arxiv] [Project Page] [Code] [Huggingface]
	Three-dimensional surface motion capture of multiple freely moving pigs using MAMMAL Liang An, Jilong Ren, Tao Yu, Tang Hai, Yichang Jia, Yebin Liu* In Nature Communications 2023 [Paper] [Code with data] [Code for mouse] [BeagleDogDataset] [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 [paper] [code] [THM dataset(google drive)]
	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 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]