William Ljungbergh

17 papers A* 2C 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Decoupled Diffusion Sparks Adaptive Scene Generation.
CoRR
Yunsong Zhou, Naisheng Ye, William Ljungbergh, Tianyu Li, Jiazhi Yang, Zetong Yang, Hongzi Zhu, Christoffer Petersson, Hongyang Li
2025 J jnl
GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving.
CoRR
William Ljungbergh, Adam Lilja, Adam Tonderski, Arvid Laveno Ling, Carl Lindström, Willem Verbeke, Junsheng Fu, Christoffer Petersson, Lars Hammarstrand, Michael Felsberg
2025 J jnl
R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation.
CoRR
William Ljungbergh, Bernardo Taveira, Wenzhao Zheng, Adam Tonderski, Chensheng Peng, Fredrik Kahl, Christoffer Petersson, Michael Felsberg, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan
2024 A* conf
NeuRAD: Neural Rendering for Autonomous Driving.
CVPR
Adam Tonderski, Carl Lindström, Georg Hess, William Ljungbergh, Lennart Svensson, Christoffer Petersson
2024 — conf
NeuroNCAP: Photorealistic Closed-Loop Safety Testing for Autonomous Driving.
ECCV (30)
William Ljungbergh, Adam Tonderski, Joakim Johnander, Holger Caesar, Kalle Åström, Michael Felsberg, Christoffer Petersson
2024 J jnl
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving.
CoRR
William Ljungbergh, Adam Tonderski, Joakim Johnander, Holger Caesar, Kalle Åström, Michael Felsberg, Christoffer Petersson
2023 J jnl
Deep Learning for Model-Based Multiobject Tracking.
IEEE Trans. Aerosp. Electron. Syst.
Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Henk Wymeersch, Lennart Svensson
2023 J jnl
NeuRAD: Neural Rendering for Autonomous Driving.
CoRR
Adam Tonderski, Carl Lindström, Georg Hess, William Ljungbergh, Lennart Svensson, Christoffer Petersson
2023 — conf
Raw or Cooked? Object Detection on RAW Images.
SCIA (1)
William Ljungbergh, Joakim Johnander, Christoffer Petersson, Michael Felsberg
2023 J jnl
Raw or Cooked? Object Detection on RAW Images.
CoRR
William Ljungbergh, Joakim Johnander, Christoffer Petersson, Michael Felsberg
2023 A* conf
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving.
ICCV
Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindström, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson
2023 J jnl
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving.
CoRR
Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindström, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson
2022 J jnl
Can Deep Learning be Applied to Model-Based Multi-Object Tracking?
CoRR
Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Henk Wymeersch, Lennart Svensson
2021 J jnl
Deep Deterministic Path Following.
CoRR
Georg Hess, William Ljungbergh
2021 C conf
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning.
FUSION
Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Lennart Svensson, Henk Wymeersch
2021 J jnl
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning.
CoRR
Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Lennart Svensson, Henk Wymeersch
2021 — conf
Trajectory Generation for Mobile Robots in a Dynamic Environment using Nonlinear Model Predictive Control.
CASE
Jonas Berlin, Georg Hess, Anton Karlsson, William Ljungbergh, Ze Zhang, Knut Åkesson, Per-Lage Götvall