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个人简介
Experience leading engineering and applied research teams to solve open-ended problems and ship products. Expertise in designing large-scale data processing systems that have at their core an optimization or machine learning component.
Expertise in machine learning, with applications to computer vision, computer graphics and robotics. For the last ~5 years, leading teams that innovate and apply machine learning techniques to all major autonomous driving systems: mapping, perception, behavior prediction, planning and simulation.
Technical depth in image understanding (object detection and classification), 3D perception (3D reconstruction, 3D object pose/shape estimation and tracking) and SLAM (mapping, localization, sensor calibration). Hands on experience with image, lidar, radar, IMU, wheel odometry and GPS data. Expertise in behavior prediction, planning and simulation for autonomous vehicles.
研究兴趣
论文共 124 篇作者统计合作学者相似作者
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Norman Mu,Jingwei Ji, Zhenpei Yang, Nathan Harada,Haotian Tang,Kan Chen, Charles R. Qi,Runzhou Ge, Kratarth Goel, Zoey Yang,Scott Ettinger,Rami Al-Rfou,
CVPR 2024 (2024)
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Congyue Deng, Chiyu “Max” Jiang,Charles R. Qi,Xinchen Yan,Yin Zhou,Leonidas Guibas,Dragomir Anguelov
CVPR 2023 (2023): 20637-20647
CVPR 2023 (2023): 9329-9339
CVPR 2023 (2023): 9644-9653
Kan Chen,Runzhou Ge,Hang Qiu, Rami AI-Rfou,Charles R. Qi, Xuanyu Zhou,Zoey Yang,Scott Ettinger,Pei Sun,Zhaoqi Leng, Mustafa Baniodeh, Ivan Bogun,
CoRR (2023)
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CVPR 2023 (2023): 4913-4926
2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2023): 7553-7560
Cole Gulino,Justin Fu,Wenjie Luo,George Tucker,Eli Bronstein,Yiren Lu, Jean Harb,Xinlei Pan,Yan Wang,Xiangyu Chen,John D. Co-Reyes,Rishabh Agarwal,
arXiv (Cornell University) (2023)
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CVPR 2023 (2023): 1158-1167
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