Kefan (Arthur) Chen

Arthur (Kefan) Chen

kefan_chen@brown.edu

I'm a 3rd year Ph.D. candidate at Brown University, advised by Prof. Srinath Sridhar. My research focuses on developing intelligent agents that understand and learn dexterous skills from humans, with the goal of enabling robotic assistance for everyday tasks. My expertise spans 3D vision, Generative AI, Language Vision Models (LVM), digital humans, neural rendering, and embodied AI. Along my academic journey, I've done internships at Meta Reality Labs, Waymo Research, and NVIDIA.

Previously, I obtained my bachelor’s degree in ECE from the University of Toronto in 2018. Then, I worked as a research scientist and ML engineer at Google Research, Pinterest, and startups from 2018 to 2022. I had the honor to work with Dr. Ameesh Makadia and Prof. Noah Snavely at Google Research; Prof. Raquel Urtasun and Prof. Sanja Fidler at UofT.

CV / LinkedIn / Google Scholar

Publications

	InteractAvatar: Modeling Hand-Face Interaction in Photorealistic Avatars with Deformable Gaussians K Chen, S Mohan, J Theiss, S Oprea, S Sridhar, A Prakash under review*, 2025 [Paper] [Website]
	FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation K Chen, C Min, L Zhang, S Hampali, C Keskin, S Sridhar Conference on Computer Vision and Pattern Recognition (CVPR), 2025 [Paper] [Website]
	UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping A Rai, D Wang, M Jain, N Sarafianos, K Chen, S Sridhar, A Prakash Conference on Computer Vision and Pattern Recognition (CVPR), 2025 [Paper] [Video] [Website]
	MANUS: Markerless Hand-Object Grasp Capture using Articulated 3D Gaussians C Pokhariya, I Shah, A Xing, Z Li, K Chen, A Sharma, S Sridhar Conference on Computer Vision and Pattern Recognition (CVPR), 2024 [Paper] [Website] [Code] [Dataset]
	DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields C Lu, P Zhou, A Xing, C Pokhariya, A Dey, I Shah, R Mavidipalli, D Hu, A Comport, K Chen, S Sridhar Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Highlight, 2.81% acceptance rate) [Paper] [Video] [Website] [Code] [Dataset]
	Wide-Baseline Relative Camera Pose Estimation with Directional Learning Kefan Chen, Noah, Snavely, Ameesh Makadia Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [Paper] [Bibtex] [Video] [Website] [Code] @InProceedings{Chen_2021_CVPR, author = {Chen, Kefan and Snavely, Noah and Makadia, Ameesh}, title = {Wide-Baseline Relative Camera Pose Estimation With Directional Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3258-3268} }
	An Analysis of SVD for Deep Rotation Estimation Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia Conference on Neural Information Processing Systems (NeurIPS), 2020 [Paper] [Bibtex] [Video] [Code] @inproceedings{levinson20neurips, title = {An Analysis of {SVD} for Deep Rotation Estimation}, author = {Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, and Ameesh Makadia}, booktitle = {Advances in Neural Information Processing Systems 34}, year = {2020} }

Education

	Brown University Ph.D. student in Computer Science Research Areas: 3D Vision, GenAI, Digital Human, LVM, Embodied AI, VR/XR. 2022 - 2027
	University of Toronto B.Eng. in Electrical Engineering 2014 - 2018

Industry

	Waymo Research Intern Mountainview, CA June, 2025 - Current Research perception on L4 autonomous driving.
	Meta Research Scientist Intern Seattle, WA; Burlingame, CA June, 2023 - Dec, 2023; June, 2024 - Mar, 2025 Research large image and video diffusion model for dexterous hand generation. Research interactive 3D human avatars using Gaussian Splatting for realistic digital human and VR/XR.
	Pinterest Machine Learning Engineer Toronto, Canada January, 2022 - September, 2022 ML for shopping content mining.
	Google Research AI Resident New York City, NY June, 2018 - August, 2020 Deep learning and 3D computer vision research.
	Nvidia Corporation Research Intern Toronto, Canada May, 2017 - August, 2017 Deep learning research in animation and robotic perception.

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