William Ljungbergh

1. NeuRAD: Neural Rendering for Autonomous Driving
   2023/11/26 by Adam Tonderski, Carl Lindström, Tonderski, Adam +9 · 42 citations
   Computer Science · #Advanced Neural Network Applications #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
2. Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving
   2023/05/03 by Mina Alibeigi, William Ljungbergh, Alibeigi, Mina +17 · 14 citations
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Video Surveillance and Tracking Methods
3. NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
   2024/04/11 by William Ljungbergh, Ljungbergh, William, Adam Tonderski +11 · 13 citations
   Computer Science · Engineering · #Advanced Neural Network Applications #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Real-time simulation and control systems
4. Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning
   2021/04/01 by Juliano Pinto, Pinto, Juliano, Georg Hess +9 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Robotics (cs.RO) #Target Tracking and Data Fusion in Sensor Networks #Video Surveillance and Tracking Methods
5. R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation
   2025/06/09 by William Ljungbergh, Bernardo Taveira, Ljungbergh, William +19 · 5 citations
   Computer Science · Engineering · #Generative Adversarial Networks and Image Synthesis #Computer Graphics and Visualization Techniques #3D Shape Modeling and Analysis
6. Can Deep Learning be Applied to Model-Based Multi-Object Tracking?
   2022/02/16 by Juliano Pinto, Pinto, Juliano, Georg Hess +9 · 1 citation
   Computer Science · Environmental Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Species Distribution and Climate Change #Systems and Control (eess.SY) #Target Tracking and Data Fusion in Sensor Networks #electronic engineering #information engineering