Hang Dai
Scholar

Hang Dai

Google Scholar ID: 6yvjpQQAAAAJ
Professor, Wuhan University. University of Glasgow
Deep LearningAutonomous DrivingMedical Image Analysis
Citations & Impact
All-time
Citations
2,376
 
H-index
20
 
i10-index
32
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • 2nd place in CVPR 2022 Waymo Open Challenge – 3D Semantic Segmentation
  • 3rd place in CVPR 2022 Waymo Open Challenge – 3D Object Detection
  • 1st and 2nd places in ECCV 2020 Commands for Autonomous Vehicles Challenge
  • Published 'MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving' at CVPR 2023
  • Published 'Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformer' at CVPR 2023
  • Published 'Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection' at ECCV 2022
  • Published 'Highly accurate dichotomous image segmentation' at ECCV 2022
  • Serving as Area Chair for BMVC 2024–2025 and Industrial/Keynote Chair for BMVC 2024
Research Experience
  • Professor at the School of Computer Science, Wuhan University
  • Honorary Research Fellow at the University of Glasgow
  • Former Lecturer in Machine Learning at the University of Glasgow
  • Former Assistant Professor at MBZUAI
  • Led multiple research projects including 3D Perception in Autonomous Driving, Dichotomous Image Segmentation (DIS), Headspace Dataset, and Liverpool-York Head Model (LYHM)