Adam Lilja

Industrial PhD student at Zenseact and Chalmers

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Gothenburg, Sweden

Hi! I work on perception for autonomous driving.

news

Mar 19, 2025 GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving is alive!
Oct 14, 2024 Our paper Exploring Semi-Supervised Learning for Online Mapping has been posted on arXiv!
Feb 27, 2024 Our paper Are NeRFs ready for autonomous driving? was accepted to the Workshop on Autonomous Driving (WAD) at CVPR 2024!
Feb 27, 2024 Our paper Localization Is All You Evaluate was accepted to CVPR 2024!
May 01, 2023 Zenseact Open Dataset, one of the largest multimodal datasets for autnomous driving, was accepted to ICCV 2023!

selected publications

  1. GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving
    William Ljungbergh, Adam Lilja, Arvid Ling, and 7 more authors
    arXiv, 2025
  2. Exploring Semi-Supervised Learning for Online Mapping
    Adam Lilja, Erik Wallin, Junsheng Fu, and 1 more author
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
  3. 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
  4. 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
  5. 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