He Ming
Urban Semantic Segmentation
Shenzhen, Guangdong Province, China
Summary
👤
Senior🎓
Top SchoolHe Ming is a senior research and development engineer at Baidu’s Automatic Driving Unit with 12 years in the industry and nearly 3 focused on deep learning for autonomous vehicles. He specializes in urban semantic segmentation, monocular-depth-assisted lane and freespace recovery, object detection and vision tracking, and lidar top-view perception using fully convolutional approaches. His work emphasizes efficient, dense prediction models that perform robustly under occlusion and sparse sensor data, translating pixel-wise outputs into useful 3D world information for driving systems. Trained at the University of Chinese Academy of Sciences, he brings a blend of academic rigor and production-facing engineering, and has applied similar CV techniques to UAV stereo matching and visual odometry during an internship at DJI.
12 years of coding experience
Master's degree, Computer Vision, Machine learning, Deep learning, Master's degree, Computer Vision, Machine learning, Deep learning at University of Chinese Academy of Sciences
Chinese, English
Github Skills (15)
doc10
react9
chinese-simplified9
documentation8
chatroom7
webrtc3
eslint-plugin3
livechat3
eslint2
eslint-config2
websocket2
sfu1
git1
javascript1
nodejs1
Programming languages (3)
Github contributions (5)
Crazydogs/Crazydogs.github.io
Oct 2015 - May 2018
Contributions:156 pushes, 1 branch in 2 years 7 months
Crazydogs/js-algorithms-practise
Aug 2015 - Mar 2017
Contributions:32 pushes, 1 branch in 1 year 7 months
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