Chaney

Chen Li

I am a Senior Research Scientist in IHPC, A*STAR, working with Dr. Basura. Previously I was a research fellow in the Computer Science Department at NUS, where I worked with Prof. Gim Hee Lee. Before that, I did my PhD at the same department supervised by Prof.Gim Hee Lee, and Master in the Electronic Engneering Department at Beihang University, supervised by Prof. Xia Mao.

I am looking for self-motivated PhD students, visiting students and interns. Please drop me an email if you are interested. Scholarships are available at link. I am also open to collaboration.

Email lichen [at] u [dot] nus [dot] edu Google Scholar

Research Field

My research focuses on 3D Computer Vision and Deep Learning. Specifically, I have been working on 3D human/animal modeling, 3D general scene modeling and understanding, human-scene interaction modeling.

Publications

	UNIKD: UNcertainty-Filtered Incremental Knowledge Distillation for Neural Implicit Representation Mengqi Guo, Chen Li,Hanlin Chen, Gim Hee Lee. ECCV 2024 [Paper] [Project Page]
	TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly Mengqi Guo, Chen Li,Yuyang Zhao, Gim Hee Lee. ECCV 2024 [Paper] [Project Page]
	ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation Khoi Duc Nguyen, Chen Li, Gim Hee Lee. Computer Vision and Pattern Recognition (CVPR), 2024 [Paper] [Code]
	Closely Interactive Human Reconstruction with Proxemics and Physics-Guided Adaption Buzhen Huang, Chen Li, Chongyang Xu, Liang Pan, Yangang Wang, Gim Hee Lee. Computer Vision and Pattern Recognition (CVPR), 2024 [Paper] [Code]
	DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRF Jie Long Lee, Chen Li, Gim Hee Lee. Computer Vision and Pattern Recognition (CVPR), 2024 [Paper] [Code]
	GHuNeRF: Generalizable Human NeRF from a Monocular Video Chen Li, Jiahao Lin, Gim Hee Lee. International Conference on 3D Vision (3DV 2024) [Paper] [Code]
	GNeSF: Generalizable Neural Semantic Fields Hanlin Chen, Chen Li, Mengqi Guo, Zhiwen Yan, Gim Hee Lee. Conference on Neural Information Processing Systems (NeurIPS 2023) [Paper] [Code]
	Weakly-supervised 3D Pose Transfer with Keypoints Jinnan Chen, Chen Li, Gim Hee Lee. International Conference on Computer Vision (ICCV), 2023 [Paper] [Code]
	ScarceNet: Animal Pose Estimation with Scarce Annotations Chen Li, Gim Hee Lee. Computer Vision and Pattern Recognition (CVPR), 2023 [Paper] [Code]
	NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects Zhiwen Yan, Chen Li, Gim Hee Lee. Computer Vision and Pattern Recognition (CVPR), 2023 [Paper] [Code] [Project Page]
	Overcoming the Tradeoff in Accuracy and Plausibility for 3D Hand Shape Reconstruction Ziwei Yu, Chen Li, Linlin Yang, Xiaoxu Zheng, Micheal Bi Mi, Gim Hee Lee, Angela Yao. Computer Vision and Pattern Recognition (CVPR), 2023 [Paper]
	Coarse-to-fine Animal Pose and Shape Estimation Chen Li, Gim Hee Lee. Neural Information Processing Systems (NeurIPS), 2021 [Paper] [Code]
	From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation Chen Li, Gim Hee Lee. Computer Vision and Pattern Recognition (CVPR), 2021 (Oral) [Paper] [Code] [Video] [Project Page]
	Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses Chen Li, Gim Hee Lee. The British Machine Vision Conference (BMVC), 2020 [Paper] [Code]
	Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network Chen Li, Gim Hee Lee. Computer Vision and Pattern Recognition (CVPR), 2019 [Paper] [Supplementary Material] [Code]
	Convolutional Sequence to Sequence Model for Human Dynamics Chen Li, Zhen Zhang, Wee Sun Lee, Gim Hee Lee. Computer Vision and Pattern Recognition (CVPR), 2018 [Paper] [Supplementary Material] [Code]