Adam Lilja

Gothenburg, Sweden

Hi!
I’m a third year PhD student at Zenseact (Volvo Cars subsidiary for autonomous driving software) and Chalmers University of Technology working on autonomous driving.

My research interests include self-supervised scene understanding, mapping, and forecasting.

Prior to this, I worked as a Research Engineer conducting applied research for Driver, and Cabin Monitoring Systems at SmartEye. Before that I worked at Aptiv, developing Autonomous Driving and ADAS systems. I also hold a M.Sc. in Systems, Control and Robotics from Chalmers University of Technology.

Google Scholar | LinkedIn | GitHub | Mail

news

Mar 08, 2026	QueryOcc: Query-based Self-Supervision for 3D Semantic Occupancy was accepted to CVPR 2026!
Mar 19, 2025	GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving is alive!
Dec 16, 2024	Half-way seminar! Thanks Boris Ivanovic for the great discussion!
Oct 14, 2024	New paper! Exploring Semi-Supervised Learning for Online Mapping
Feb 27, 2024	Are NeRFs ready for autonomous driving?

selected publications

QueryOcc: Query-based Self-Supervision for 3D Semantic Occupancy

Adam Lilja, Ji Lan, Junsheng Fu, and 1 more author

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026

arXiv Bib

@article{queryocc,
  title = {QueryOcc: Query-based Self-Supervision for 3D Semantic Occupancy},
  author = {Lilja, Adam and Lan, Ji and Fu, Junsheng and Hammarstrand, Lars},
  journal = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2026},
}

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

William Ljungbergh^*, Adam Lilja^*, Arvid Ling, and 7 more authors

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

arXiv Bib Code Website

@article{ljungbergh2025gasp,
  title = {GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving},
  author = {Ljungbergh, William and Lilja, Adam and Ling, Arvid and Tonderski, Adam and Lindstr{\"o}m, Carl and Verbeke, Willem and Fu, Junsheng and Petersson, Christoffer and Hammarstrand, Lars and Felsberg, Michael},
  journal = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  year = {2025},
}

Exploring Semi-Supervised Learning for Online Mapping

Adam Lilja, Erik Wallin, Junsheng Fu, and 1 more author

2025

arXiv Bib

@article{lilja2024exploring,
  title = {Exploring Semi-Supervised Learning for Online Mapping},
  author = {Lilja, Adam and Wallin, Erik and Fu, Junsheng and Hammarstrand, Lars},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year = {2025},
}

Localization is all you evaluate: Data leakage in online mapping datasets and how to fix it

Adam Lilja, Junsheng Fu, Erik Stenborg, and 1 more author

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

arXiv Bib Website

@inproceedings{lilja2024localization,
  title = {Localization is all you evaluate: Data leakage in online mapping datasets and how to fix it},
  author = {Lilja, Adam and Fu, Junsheng and Stenborg, Erik and Hammarstrand, Lars},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {22150--22159},
  year = {2024},
}

Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap

Carl Lindström, Georg Hess, Adam Lilja, and 4 more authors

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

arXiv Bib Website

@inproceedings{lindstrom2024nerfs,
  title = {Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap},
  author = {Lindstr{\"o}m, Carl and Hess, Georg and Lilja, Adam and Fatemi, Maryam and Hammarstrand, Lars and Petersson, Christoffer and Svensson, Lennart},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {4461--4471},
  year = {2024},
}

Zenseact open dataset: A large-scale and diverse multimodal dataset for autonomous driving

Mina Alibeigi, William Ljungbergh, Adam Tonderski, and 7 more authors

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

arXiv Bib Code Website

@inproceedings{alibeigi2023zenseact,
  title = {Zenseact open dataset: A large-scale and diverse multimodal dataset for autonomous driving},
  author = {Alibeigi, Mina and Ljungbergh, William and Tonderski, Adam and Hess, Georg and Lilja, Adam and Lindstr{\"o}m, Carl and Motorniuk, Daria and Fu, Junsheng and Widahl, Jenny and Petersson, Christoffer},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages = {20178--20188},
  year = {2023},
}