Yihong Xu is a research scientist at Valeo.ai with a decade of experience in computer vision and deep learning, specializing in multi-object tracking and person re-identification. He earned a PhD from Inria’s RobotLearn team and augmented his research profile with a visiting scholar stint at TUM’s Dynamic Vision and Learning Group supported by international mobility grants. His background spans academia and industry—from artistic style transfer and IoT research internships to applied computer vision engineering at Meitu—giving him a strong mix of theoretical rigor and practical deployment experience. Based in Paris, he focuses on advancing tracking algorithms and neural architectures for real-world mobility applications, often bridging cross-border collaborations between French and German research labs. An engineer by training with degrees from IMT Atlantique and Xidian University, he brings both system-level thinking and hands-on model development to production research problems.
10 years of coding experience
Master's Degree, Systems of Information Processing, Master's Degree, Systems of Information Processing at IMT Atlantique
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Inria Grenoble Rhône-Alpes
Bachelor’s Degree, Telecommunications Engineering, Bachelor’s Degree, Telecommunications Engineering at Xidian University
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