Georg Hess

23 papers A* 3A 1C 1Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Future-Oriented Navigation: Dynamic Obstacle Avoidance With One-Shot Energy-Based Multimodal Motion Prediction.
IEEE Robotics Autom. Lett.
Ze Zhang, Georg Hess, Junjie Hu, Emmanuel Dean, Lennart Svensson, Knut Åkesson
2025 J jnl
Future-Oriented Navigation: Dynamic Obstacle Avoidance with One-Shot Energy-Based Multimodal Motion Prediction.
CoRR
Ze Zhang, Georg Hess, Junjie Hu, Emmanuel Dean, Lennart Svensson, Knut Åkesson
2025 A* conf
SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving.
CVPR
Georg Hess, Carl Lindström, Maryam Fatemi, Christoffer Petersson, Lennart Svensson
2024 — conf
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap.
CVPR Workshops
Carl Lindström, Georg Hess, Adam Lilja, Maryam Fatemi, Lars Hammarstrand, Christoffer Petersson, Lennart Svensson
2024 J jnl
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap.
CoRR
Carl Lindström, Georg Hess, Adam Lilja, Maryam Fatemi, Lars Hammarstrand, Christoffer Petersson, Lennart Svensson
2024 A conf
LidarCLIP or: How I Learned to Talk to Point Clouds.
WACV
Georg Hess, Adam Tonderski, Christoffer Petersson, Kalle Åström, Lennart Svensson
2024 A* conf
NeuRAD: Neural Rendering for Autonomous Driving.
CVPR
Adam Tonderski, Carl Lindström, Georg Hess, William Ljungbergh, Lennart Svensson, Christoffer Petersson
2024 J jnl
SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving.
CoRR
Georg Hess, Carl Lindström, Maryam Fatemi, Christoffer Petersson, Lennart Svensson
2023 J jnl
Deep Learning for Model-Based Multiobject Tracking.
IEEE Trans. Aerosp. Electron. Syst.
Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Henk Wymeersch, Lennart Svensson
2023 — conf
Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds.
WACV (Workshops)
Georg Hess, Johan Jaxing, Elias Svensson, David Hagerman, Christoffer Petersson, Lennart Svensson
2023 J jnl
NeuRAD: Neural Rendering for Autonomous Driving.
CoRR
Adam Tonderski, Carl Lindström, Georg Hess, William Ljungbergh, Lennart Svensson, Christoffer Petersson
2023 J jnl
Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing.
CoRR
Juliano Pinto, Georg Hess, Yuxuan Xia, Henk Wymeersch, Lennart Svensson
2023 A* conf
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving.
ICCV
Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindström, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson
2023 J jnl
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving.
CoRR
Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindström, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson
2022 J jnl
Can Deep Learning be Applied to Model-Based Multi-Object Tracking?
CoRR
Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Henk Wymeersch, Lennart Svensson
2022 J jnl
LidarCLIP or: How I Learned to Talk to Point Clouds.
CoRR
Georg Hess, Adam Tonderski, Christoffer Petersson, Lennart Svensson, Kalle Åström
2022 J jnl
Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds.
CoRR
Georg Hess, Johan Jaxing, Elias Svensson, David Hagerman, Christoffer Petersson, Lennart Svensson
2022 — conf
Object Detection as Probabilistic Set Prediction.
ECCV (10)
Georg Hess, Christoffer Petersson, Lennart Svensson
2022 J jnl
Object Detection as Probabilistic Set Prediction.
CoRR
Georg Hess, Christoffer Petersson, Lennart Svensson
2021 J jnl
Deep Deterministic Path Following.
CoRR
Georg Hess, William Ljungbergh
2021 C conf
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning.
FUSION
Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Lennart Svensson, Henk Wymeersch
2021 J jnl
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning.
CoRR
Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Lennart Svensson, Henk Wymeersch
2021 — conf
Trajectory Generation for Mobile Robots in a Dynamic Environment using Nonlinear Model Predictive Control.
CASE
Jonas Berlin, Georg Hess, Anton Karlsson, William Ljungbergh, Ze Zhang, Knut Åkesson, Per-Lage Götvall