Arthur (Kefan) Chen
kefan_chen@brown.edu
I'm a 1st year Ph.D. student in the Computer Science Department at Brown University.
My advisor is Prof. Srinath Sridhar.
My research interests are 3D computer vision, computer graphics, and machine learning.
I obtained my Bachelor Degree in Electrical Engineering from University of Toronto in 2018.
After graduation, I had been working at Google Research for two years and I had the honor to
collaborate with Dr. Ameesh Makadia and
Prof. Noah Snavely.
Then, I worked as a research engineer in perception at Gatik, an autonomous delivery startup.
During my undergrad study, I worked as a research assistant under the supervision of
Prof. Sanja Fidler and
I also worked on deep learning in animation and robotic perception as an intern at NVIDIA.
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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}
}
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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}
}
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Brown University
Ph.D. student in Computer Science
Research Areas: Computer Vision, Deep Learning
2022 - 2027
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University of Toronto
B.Eng. in Electrical Engineering
2014 - 2018
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Pinterest
Machine Learning Engineer
Toronto, Canada
January, 2022 -
Apply ML to shopping content mining.
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Gatik
Perception Engineer
Toronto, Canada
September, 2020 - December, 2021
Research and develop long-range multimodal perception and sensor fusion for autonomous trucks.
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Google Research
AI Resident
New York City, NY
June, 2018 - August, 2020
Researched on 3D computer vision in Geometric AI team.
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Nvidia Corporation
Deep Learning Research Intern
Toronto, Canada
May, 2017 - August, 2017
Worked on deep learning in animation and robotic perception.
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