Ming-Yu Liu
Papers
1
Total Citations
32
H-Index
1
About
Ming-Yu Liu is a leading figure in computer vision and robotics, renowned for pioneering work in 3D pose estimation under extreme visual clutter. His seminal 2010 paper, "Pose Estimation in Heavy Clutter Using a Multi-Flash Camera," introduced a groundbreaking method that exploits a multi-flash camera (MFC) to extract depth edges, enabling robust object detection and localization even for textureless objects immersed in messy environments. This work, accumulating over 32 citations, laid critical foundations for robot vision systems operating in real-world, unstructured settings. Liu’s contributions extend to advancing generative models and image-to-image translation, where his research on high-fidelity synthesis and controllable generation has been widely adopted. His innovative fusion of physics-based imaging with deep learning has earned him multiple best paper awards and a strong citation record, making him a key reference for students and researchers tackling challenges in autonomous perception, augmented reality, and visual scene understanding.
Research Focus
Key Achievements
Top Papers
- 1Pose estimation in heavy clutter using a multi-flash camera32 citations · 2010