Adam Tonderski

According to our database, Adam Tonderski authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation.

William Ljungbergh, Bernardo Taveira, Wenzhao Zheng, Adam Tonderski, Chensheng Peng, Fredrik Kahl, Christoffer Petersson, Michael Felsberg, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan

CoRR, June, 2025

GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving.

William Ljungbergh, Adam Lilja, Adam Tonderski, Arvid Laveno Ling, Carl Lindström, Willem Verbeke, Junsheng Fu, Christoffer Petersson, Lars Hammarstrand, Michael Felsberg

CoRR, March, 2025

Towards Zero Bottlenecks for Scaling Autonomous Driving.

Adam Tonderski

PhD thesis, 2025

2024

LidarCLIP or: How I Learned to Talk to Point Clouds.

Georg Hess, Adam Tonderski, Christoffer Petersson, Kalle Åström, Lennart Svensson

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

NeuroNCAP: Photorealistic Closed-Loop Safety Testing for Autonomous Driving.

William Ljungbergh, Adam Tonderski, Joakim Johnander, Holger Caesar, Kalle Åström, Michael Felsberg, Christoffer Petersson

Proceedings of the Computer Vision - ECCV 2024, 2024

NeuRAD: Neural Rendering for Autonomous Driving.

Adam Tonderski, Carl Lindström, Georg Hess, William Ljungbergh, Lennart Svensson, Christoffer Petersson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

TimePillars: Temporally-Recurrent 3D LiDAR Object Detection.

Ernesto Lozano Calvo, Bernardo Taveira, Fredrik Kahl, Niklas Gustafsson, Jonathan Larsson, Adam Tonderski

CoRR, 2023

You can have your ensemble and run it too - Deep Ensembles Spread Over Time.

Isak Meding, Alexander Bodin, Adam Tonderski, Joakim Johnander, Christoffer Petersson, Lennart Svensson

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving.

Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindström, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning Future Object Prediction with a Spatiotemporal Detection Transformer.

Adam Tonderski, Joakim Johnander, Christoffer Petersson, Kalle Åström

CoRR, 2022