publications

2024

1. 

   SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving

   Georg Hess, Carl Lindström, Maryam Fatemi, Christoffer Petersson, and Lennart Svensson

   arXiv preprint arXiv:2411.16816, Nov 2024

   arXiv Bib Code Website

   @article{hess2024splatad,
     title = {SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving},
     author = {Hess, Georg and Lindstr{\"o}m, Carl and Fatemi, Maryam and Petersson, Christoffer and Svensson, Lennart},
     journal = {arXiv preprint arXiv:2411.16816},
     year = {2024},
     month = nov,
   }

2. 

   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 (CVPR), Jun 2024

   arXiv Bib Code Website

   @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},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     month = jun,
     year = {2024},
     pages = {14895-14904},
   }

3. 

   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

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

   arXiv Bib Website

   @inproceedings{lindstrom2024nerfs,
     author = {Lindstr{\"o}m, Carl and Hess, Georg and Lilja, Adam and Fatemi, Maryam and Hammarstrand, Lars and Petersson, Christoffer and Svensson, Lennart},
     title = {Are NeRFs Ready for Autonomous Driving? Towards Closing the Real-to-simulation Gap},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
     month = jun,
     year = {2024},
     pages = {4461-4471},
   }

4. 

   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,
   }

2023

1. 

   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},
   }

2. 

   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},
   }

3. 

   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},
   }

4. 

   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

1. 

   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

1. 

   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},
   }