Jian Sun
Chief Scientist Managing Director Of Megvii Research at Megvii Technology (Face++)
Haidian District, Beijing, China
Summary
👤
Senior🎓
Top SchoolJian Sun is a veteran computer vision researcher and engineering leader with 14 years of experience, currently serving as Chief Scientist and Managing Director of Megvii Research, where he founded the lab and drives research-to-product incubation across Beijing and Seattle. He previously led and built vision teams at Microsoft, translating advances in computational photography, deep learning, and image recognition into shipped products and mentoring many interns and PhD students. Jian combines deep academic training (PhD from Xi'an Jiaotong University) with hands-on open-source contributions—most notably to OpenCV’s OpenCL-accelerated ocl module and the HoughCircles implementation and tests—bridging low-level performance engineering and high-level research. Known for turning state-of-the-art ideas into practical systems, he also actively recruits researchers and engineers, signaling a continued focus on scaling research impact into real-world applications.
13 years of coding experience
13 years of employment as a software developer
Bachelor, Master, Ph.D, Electrical and Electronics Engineering, Bachelor, Master, Ph.D, Electrical and Electronics Engineering at Xi'an Jiaotong University
English, Chinese
Github Skills (8)
opencl10
computer-vision10
c-language10
cprogramming-language10
hough-transform10
image-processing10
unit-testing8
performance-testing8
Programming languages (5)
Github contributions (5)
opencv/opencv
Dec 2012 - Jan 2014
Open Source Computer Vision Library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:21 commits in 1 year 1 month
Contributions summary:Jian contributed to the Open Source Computer Vision Library, specifically focusing on implementing and refining the `ocl` module related to OpenCL acceleration. The commits demonstrate work on the `HoughCircles` function, adding it to the `ocl.hpp` header file, and then completing the function's implementation across multiple files. This included refactoring code, removing comments, and fixing typos to improve the functionality of the `HoughCircles` function and its interaction with other library components. Furthermore, a unit test and performance test for the `HoughCircles` function were added.
pythonvisiondeep-learningc-plus-pluscomputer-vision
pclove1/matplotlib
Aug 2018 - Jan 2019
matplotlib: plotting with Python
Contributions:9 pushes, 1 branch in 4 months
chord-diagrampythonplotlymatplotlibplotting
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