Yang Xiao is a PhD candidate in computer vision based in Paris with eight years of experience applying deep learning to signal and image processing problems, from histological image segmentation to 3D pose and shape estimation at Amazon Imaging. His work bridges theory and practice—publishing in ISBI and ICASSP and implementing high-performance algorithms in C++, MATLAB and deep learning frameworks—to enable robust vision for robot manipulation in weakly-controlled environments. Trained across top French engineering schools and Huazhong University, he combines a solid background in optoelectronics and communications with hands-on experience in industrial imaging pipelines. Colleagues describe him as research-focused but pragmatic, able to move models from papers to production-oriented prototypes.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at École des Ponts ParisTech
Bachelor’s Degree, Optoelectronic, Bachelor’s Degree, Optoelectronic at Huazhong University of Science and Technology
Master’s Degree, Electrical, Electronic and Communications Engineering Technology/Technician, Master’s Degree, Electrical, Electronic and Communications Engineering Technology/Technician at Université Paris-Saclay
Bachelor’s Degree, Information, Systems, and Technology, Bachelor’s Degree, Information, Systems, and Technology at Paris-Sud University (Paris XI)
Master 2, Signal and Image processing, Master 2, Signal and Image processing at CentraleSupelec
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