Computer Vision Algorithm Engineer at Pudu Robotics
Shenzhen, Guangdong Province, China
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Summary
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Yueci Deng is a Computer Vision Algorithm Engineer with seven years of hands-on experience building 3D perception and sim-to-real systems for robotics and industrial automation. Based in Shenzhen, he has led CV teams and shipped products involving 3D reconstruction, 6D pose estimation, point cloud registration, bin-picking and depalletizing across companies from startups to Pudu Robotics. He contributes to prominent open-source work in Open3D, implementing core point-cloud algorithms (e.g., farthest point sampling, multi-threaded RANSAC plane segmentation and tensor-based outlier removal) and improving SLAM and Windows build reliability. Trained in signal processing and electrical engineering at Nanyang Technological University and the University of Glasgow, he blends academic rigor with pragmatic deployment of projection, robotic perception and AR-related algorithms. Colleagues describe his approach as “learning by doing,” turning research prototypes into robust, real-world vision systems.
7 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at University of Electronic Science and Technology of China
Master of Science, Signal Processing, Master of Science, Signal Processing at Nanyang Technological University
Bachelor of Engineering - BE, Electrical and Electronics Engineering, (with honors of the first class), Bachelor of Engineering - BE, Electrical and Electronics Engineering, (with honors of the first class) at University of Glasgow
Contributions:42 reviews, 47 commits, 42 PRs in 10 months
Contributions summary:Yueci contributed to the Open3D library by implementing and testing new algorithms. Their work included the development of Farthest Point Sampling for point cloud downsampling, the integration of multi-threaded plane segmentation using RANSAC, and the implementation of Tensor-based algorithms like removal of statistical outliers. The user also added support for calculating bounding boxes and other helper functions like estimating normals. Furthermore, the user addressed build errors related to Windows and enhanced the SLAM system.
Contributions:7 commits, 18 pushes, 1 branch in 3 years 6 months
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Yueci Deng - Computer Vision Algorithm Engineer at Pudu Robotics