Scholar
Hu Cao (曹虎)
Google Scholar ID: O7qS9DkAAAAJ
Technical University of Munich
Citations & Impact
Citations
6,753
H-index
17
i10-index
21
Publications
20
Co-authors
8
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- URNet: Uncertainty-aware Refinement Network for Event-based Stereo Depth Estimation accepted by Visual Intelligence.
- I2EKD: Efficient and Versatile Image-to-Event Knowledge Distillation accepted by TCSVT.
- CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving accepted by ICCV 2025.
- Feature-aligned Fisheye Object Detection accepted by IROS 2025.
- TUMTraffic-VideoQA accepted by ICML 2025.
- Served as an Associate Editor of the journal Visual Intelligence.
- Served as the Forum Chair of the China Embodied AI Conference 2025: Special Forum-Embodied Manipulation and Continuous Learning.
- Joined the Editorial Board of the journal Artificial Intelligence and Autonomous Systems (AIAS).
- Served as the Chair of the Germany Forum of the 6th Sino-German Symposium on Intelligent Robots.
- Strong but simple: A Baseline for Domain Generalized Dense Perception by CLIP-based Transfer Learning accepted by ACCV 2024.
- BiSeg-SAM accepted by IEEE BIBM 2024.
- Swin-Unet ranked top 3 most cited ECCV papers in five years in Google Metrics.
- A paper on 4-DOF point cloud registration accepted by IEEE TPAMI.
- Two papers on RGB-Event fusion object detection and dataset distillation accepted by ECCV 2024.
- A paper on lightweight fisheye object detection accepted by IROS 2024.
- Organizing a special issue on 'Advanced Perception and Planning Technology in Robotics' for Frontiers in Robotics and AI (SCI).
- A paper on dimension-pooling transformer for semantic segmentation accepted by IEEE TITS.
- A paper on vision language models in autonomous driving accepted by IEEE TIV.
- A paper on point cloud registration accepted by IEEE TIV.
Research Experience
- Currently a Postdoctoral Research Associate at the Chair of Robotics, AI, and Real-Time Systems, Technical University of Munich (TUM).
Education
- Ph.D. from Technical University of Munich (TUM), supervised by Prof. Alois Knoll.
Background
- Research interests focus on vision and language models for scene understanding, including autonomous driving, robotic grasping, medical image analysis, and dense prediction (classification, detection, and segmentation).
Miscellany
- Looking for highly self-motivated collaborators who are interested in autonomous driving, robotic grasping, medical image analysis, and dense prediction. Please send an up-to-date resume via email.
