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

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]

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]

Education
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Brown University
Ph.D. student in Computer Science
Research Areas: GenAI, large vision models, digital human, 3D computer vision.
2022 - 2027

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University of Toronto
B.Eng. in Electrical Engineering
2014 - 2018

Industry
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Meta
Research Scientist
Seattle, WA
June, 2023 - Current

Diffusion, 3D avatar, Gaussian Splatting research at Reality Lab.

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Pinterest
Machine Learning Engineer
Toronto, Canada
January, 2022 - September, 2022

ML for shopping content mining.

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Google Research
AI Resident
New York City, NY
June, 2018 - August, 2020

Deep learning and 3D computer vision research.

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Nvidia Corporation
Research Intern
Toronto, Canada
May, 2017 - August, 2017

Deep learning research in animation and robotic perception.


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