William Ljungbergh
Scholar

William Ljungbergh

Google Scholar ID: RXEPFo0AAAAJ
Computer Vision Lab, Linköping University
Machine LearningAutonomous DrivingComputer VisionDeep Learning
Citations & Impact
All-time
Citations
373
 
H-index
7
 
i10-index
7
 
Publications
17
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving
  • NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
  • Decoupled Diffusion Sparks Adaptive Scene Generation
  • R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation
  • Raw or Cooked? Object detection on RAW images
  • NeuRAD: Neural Rendering for Autonomous Driving
Research Experience
  • Works at Zenseact and Linköping University, with a focus on perception-related issues in autonomous driving
Education
  • No specific educational background information provided
Background
  • Industrial PhD student focusing on solving problems related to perception in autonomous driving. Open to discussions about potential collaborations.
Miscellany
  • No additional personal interests or hobbies mentioned