Yipu Zhao
Research Scientist at Meta
United States
Summary
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Rockstar🎓
Top SchoolYipu Zhao is a research scientist at Meta with a decade of experience specializing in computer vision, SLAM, and autonomous navigation. His PhD work and prior roles at Georgia Tech, Magic Leap, and Carnegie Mellon produced practical advances in low-latency visual odometry, robust feature/line matching, long-term map management, and closed-loop navigation for real-world robotics. He has a strong record of moving algorithms from research to system-level implementations—e.g., line-assisted VO for low-texture indoor scenes and efficient map strategies for large-scale SLAM. Comfortable across LiDAR, image-to-point-cloud registration, and 3D reconstruction, he blends rigorous academic training with hands-on production experience. Based in the United States, he brings deep spatial-understanding expertise and an eye for reducing computational latency without sacrificing accuracy.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering at Georgia Institute of TechnologyMaster's Degree Artificial Intelligence, Master's Degree Artificial Intelligence at Peking University
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (40)
occupancy-grid-map10
line-segment10
visual-odometry10
rgb10
slam-algorithms10
lidar10
stereo10
slam10
robotics9
nonlinear9
depth-camera9
nonlinear-optimization9
3d-reconstruction9
levenberg-marquardt9
open3d8
Programming languages (2)
Github contributions (5)
ivalab/gf_orb_slam2
Apr 2019 - Feb 2021
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Contributions:49 commits, 86 pushes, 1 branch in 1 year 10 months
visual-odometryrgb-dstereoslam-algorithmsloop
ivalab/FullResults_GoodFeature
Sep 2018 - Jul 2019
Contributions:10 commits, 13 pushes, 1 branch in 9 months
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