Georg Hess
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Masked Autoencoder for Self-Supervised Pre-Training on Lidar Point Clouds
G Hess, J Jaxing, E Svensson, D Hagerman, C Petersson, L Svensson
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
Zenseact open dataset: A large-scale and diverse multimodal dataset for autonomous driving
M Alibeigi, W Ljungbergh, A Tonderski, G Hess, A Lilja, C Lindström, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning
J Pinto, G Hess, W Ljungbergh, Y Xia, L Svensson, H Wymeersch
2021 IEEE 24th International Conference on Information Fusion (FUSION), 1-8, 2021
Deep Learning for Model-Based Multi-Object Tracking
J Pinto, G Hess, W Ljungbergh, Y Xia, H Wymeersch, L Svensson
IEEE Transactions on Aerospace and Electronic Systems, 2023
Lidarclip or: How i learned to talk to point clouds
G Hess, A Tonderski, C Petersson, K Åström, L Svensson
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
NeuRAD: Neural Rendering for Autonomous Driving
A Tonderski, C Lindström, G Hess, W Ljungbergh, L Svensson, ...
arXiv preprint arXiv:2311.15260, 2023
Trajectory generation for mobile robots in a dynamic environment using nonlinear model predictive control
J Berlin, G Hess, A Karlsson, W Ljungbergh, Z Zhang, K Åkesson, ...
2021 IEEE 17th International Conference on Automation Science and …, 2021
Object detection as probabilistic set prediction
G Hess, C Petersson, L Svensson
European Conference on Computer Vision, 550-566, 2022
Transforming the field of multi-object tracking
G Hess, W Ljungbergh
Chalmers University of Technology, 2021
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap
C Lindström, G Hess, A Lilja, M Fatemi, L Hammarstrand, C Petersson, ...
arXiv preprint arXiv:2403.16092, 2024
Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing
J Pinto, G Hess, Y Xia, H Wymeersch, L Svensson
arXiv preprint arXiv:2312.17261, 2023
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