publications | Georg Hess

2024

NeuRAD: Neural Rendering for Autonomous Driving

Highlight - Top 11%

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

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

@inproceedings{tonderski2024neurad,
  title = {NeuRAD: Neural Rendering for Autonomous Driving},
  author = {Tonderski, Adam and Lindstr{\"o}m, Carl and Hess, Georg and Ljungbergh, William and Svensson, Lennart and Petersson, Christoffer},
  year = {2024},
  month = jun,
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
}

LidarCLIP or: How I Learned to Talk to Point Clouds

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

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

arXiv Bib Code Website

@inproceedings{hess2024lidarclip,
  title = {LidarCLIP or: How I Learned to Talk to Point Clouds},
  author = {Hess*, Georg and Tonderski*, Adam and Petersson, Christoffer and {\AA}str{\"o}m, Kalle and Svensson, Lennart},
  booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  year = {2024},
  month = jan,
}

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

Carl Lindström, Georg Hess, Adam Lilja, Maryam Fatemi, Lars Hammarstrand, Christoffer Petersson, and Lennart Svensson

arXiv preprint arXiv:2403.16092, Jan 2024

arXiv Bib Website

@article{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},
  journal = {arXiv preprint arXiv:2403.16092},
  year = {2024},
}

2023

Deep Learning for Model-Based Multi-Object Tracking

Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Henk Wymeersch, and Lennart Svensson

IEEE Transactions on Aerospace and Electronic Systems, Jun 2023

arXiv Bib Code

@article{10163871,
  author = {Pinto, Juliano and Hess, Georg and Ljungbergh, William and Xia, Yuxuan and Wymeersch, Henk and Svensson, Lennart},
  journal = {IEEE Transactions on Aerospace and Electronic Systems},
  title = {Deep Learning for Model-Based Multi-Object Tracking},
  year = {2023},
  month = jun,
  pages = {1-17},
  doi = {10.1109/TAES.2023.3289164},
}

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, and Christoffer Petersson

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

arXiv Bib Code Website

@inproceedings{zod2023,
  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},
  title = {Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving},
  year = {2023},
  month = may,
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages = {20178--20188},
  doi = {10.1109/ICCV51070.2023.01846},
}

Masked Autoencoder for Self-Supervised Pre-Training on Lidar Point Clouds

Georg Hess, Johan Jaxing, Elias Svensson, David Hagerman, Christoffer Petersson, and Lennart Svensson

In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, Jan 2023

arXiv Bib Code Website

@inproceedings{hess2023masked,
  author = {Hess, Georg and Jaxing, Johan and Svensson, Elias and Hagerman, David and Petersson, Christoffer and Svensson, Lennart},
  booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops},
  pages = {350--359},
  year = {2023},
  month = jan,
  doi = {10.1109/WACVW58289.2023.00039},
}

Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing

Juliano Pinto, Georg Hess, Yuxuan Xia, Henk Wymeersch, and Lennart Svensson

arXiv preprint arXiv:2312.17261, Jan 2023

arXiv Bib

@article{pinto2023transformer,
  title = {Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing},
  author = {Pinto, Juliano and Hess, Georg and Xia, Yuxuan and Wymeersch, Henk and Svensson, Lennart},
  journal = {arXiv preprint arXiv:2312.17261},
  year = {2023},
}

2022

Object Detection as Probabilistic Set Prediction

Georg Hess, Christoffer Petersson, and Lennart Svensson

In Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part X, Oct 2022

arXiv Bib Code Website

@inproceedings{hess2022object,
  title = {Object Detection as Probabilistic Set Prediction},
  author = {Hess, Georg and Petersson, Christoffer and Svensson, Lennart},
  booktitle = {Computer Vision--ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23--27, 2022, Proceedings, Part X},
  pages = {550--566},
  year = {2022},
  month = oct,
  organization = {Springer},
  doi = {https://doi.org/10.1007/978-3-031-20080-9_32},
}

2021

Next generation multitarget trackers: Random finite set methods vs transformer-based deep learning

Best Student Paper

Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Lennart Svensson, and Henk Wymeersch

In 2021 IEEE 24th International Conference on Information Fusion (FUSION), Sep 2021

arXiv Bib Code

@inproceedings{pinto2021next,
  title = {Next generation multitarget trackers: Random finite set methods vs transformer-based deep learning},
  author = {Pinto, Juliano and Hess, Georg and Ljungbergh, William and Xia, Yuxuan and Svensson, Lennart and Wymeersch, Henk},
  booktitle = {2021 IEEE 24th International Conference on Information Fusion (FUSION)},
  pages = {1--8},
  year = {2021},
  month = sep,
  organization = {IEEE},
  doi = {10.23919/FUSION49465.2021.9626990},
}