Yuming Du

Centre National de la Recherche Scientifique

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About

Yuming Du is a researcher working at the intersection of computer vision, robotics, and augmented reality, with a particular focus on object pose estimation, 6DoF tracking, and robotic manipulation. His most recognized contribution is the development of PIZZA (Powerful Image-only Zero-Shot Zero-CAD Approach), a novel framework for tracking the six-degree-of-freedom motion of objects in RGB video sequences without requiring prior training images or 3D CAD models of the target object. This work addresses a fundamental challenge in robotics and AR applications — estimating object pose under conditions of complete prior ignorance — and has garnered significant attention, accumulating nearly 30 citations since its 2022 publication. Beyond pose tracking, Du has explored the challenge of dexterous robotic manipulation through his work on "Multi-Finger Grasping Like Humans," which proposes an optimization-based approach enabling robots to replicate human grasping demonstrations. Together, these contributions reflect Du's broader ambition to build perception and manipulation systems that generalize to novel scenarios with minimal prior knowledge — a critical capability for deploying intelligent robots in real-world, unstructured environments.