Kefan (Arthur) Chen

Arthur (Kefan) Chen

kefan_chen@brown.edu

I'm a Ph.D. candidate at Brown University, advised by Prof. Srinath Sridhar. My research is dedicated to developing intelligent agents that learn dexterous skills from humans, aiming to simplify challenging tasks in our daily lives. My areas of focus include Generative AI, digital humans, and embodied AI. Previously, I have held positions at Google, Meta, NVIDIA, Pinterest, and various startups, working as a researcher, Machine Learning Engineer, and research intern.

Before PhD, I had the honor to work with Dr. Ameesh Makadia and Prof. Noah Snavely at Google Research, and Prof. Sanja Fidler at UofT.

CV / LinkedIn / Google Scholar

Publications

	FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation K Chen, C Min, L Zhang, S Hampali, C Keskin, S Sridhar under review, 2024 [Paper] [Code]
	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] [Code]
	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) [Paper] [Video] [Code]
	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] [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: GenAI, large vision models, digital human, 3D computer vision. 2022 - 2027
	University of Toronto B.Eng. in Electrical Engineering 2014 - 2018

Industry

	Meta Research Scientist Seattle, WA June, 2023 - Current Diffusion, 3D avatar, Gaussian Splatting research at Reality Lab.
	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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