Hu Cao

Hu Cao is a postdoctoral research associate at the Chair of Robotics, Artificial Intelligence and Real-Time Systems (Prof. Alois Knoll) at the Technical University of Munich (TUM). Holding a Ph.D. from TUM, his research bridges autonomous driving, robotic grasping, medical image analysis, and dense prediction (classification, detection, segmentation).

• Education: Ph.D. from TUM

Hu's work explores:

• Autonomous Driving: Perception under adverse conditions, multi-sensor fusion, and risk-based safety models
• Robotic Grasping: Vision-language integration for 6D pose estimation
• Medical Imaging: Transformer-based segmentation techniques (e.g., Swin-Unet)

His recent publications include 15+ works at top venues like CVPR, ICCV, IEEE TPAMI, and IEEE TIV, with 6052+ Google Scholar citations. Notably, Swin-Unet ranks among the top 3 most cited ECCV papers in 5 years, and his work on event-based autonomous driving perception was featured in IEEE Xplore Innovation Spotlight.

Editorial roles include:

• Associate Editor for Visual Intelligence and Frontiers in Neurorobotics
• Editorial Board member of Artificial Intelligence and Autonomous Systems (AIAS)
• Topic Editor for Frontiers in Robotics and AI and Frontiers in Neuroscience

He has reviewed for 20+ top journals (e.g., Nature Computational Science, IEEE TRO) and served on program committees for NeurIPS, CVPR, ICCV, and MICCAI.