Yuming Du
Member Of Technical Staff at Microsoft AI
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolYuming Du is an AI research scientist and Member of Technical Staff with eight years of experience at the intersection of computer vision and multimodal foundation models, currently working on generative AI at Microsoft after leading multimodal generation research at Meta. He holds a PhD in computer vision from École des Ponts and has a track record of producing publishable, high-impact work (CVPR and IROS) and competitive results (1st place COCO keypoint detection). Comfortable spanning theory and systems, he has contributed to human motion synthesis, grasp simulation, and large-scale multimodal modeling across industry labs. Based in Zurich, Yuming blends deep academic rigor with product-minded engineering, frequently moving ideas from papers to prototypes. An underappreciated strength is his consistent success in competitive benchmarks and intern-to-researcher transitions that signal both technical excellence and rapid real-world impact.
8 years of coding experience
2 years of employment as a software developer
Centrale Lyondoctor of computer science computer vision, doctor of computer science computer vision at École nationale des ponts et chaussées
French, English, Chinese
Github Skills (53)
motion-tracking10
depth-estimation10
occlusion10
optical-flow10
adapter9
prediction9
lora8
python8
data-science7
deterministic7
pytorch7
mujoco7
robotics7
dynamics7
machine-learning7
Programming languages (3)
Github contributions (5)
dulucas/Displacement_Field
Jun 2020 - Nov 2020
Official implementation of paper "Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields" (CVPR2020)
Contributions:27 commits, 25 pushes, 1 branch in 5 months
depth-estimationocclusionnyuv2-ocaccurate-occlusion-boundariesdisplacement-field
dulucas/plane_detection_RGBD
Oct 2019 - Jul 2020
Contributions:19 commits, 16 pushes, 1 branch in 9 months
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