Georg Hess

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Object Tracking

Top Venues

IEEE Trans. Aerosp. Electron. Syst.

Publications

Georg Hess, Adam Tonderski, Christoffer Petersson, Kalle Åström, Lennart Svensson
LidarCLIP or: How I Learned to Talk to Point Clouds. WACV (2024)
Carl Lindström, Georg Hess, Adam Lilja, Maryam Fatemi, Lars Hammarstrand, Christoffer Petersson, Lennart Svensson
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap. CoRR (2024)
Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindström, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving. ICCV (2023)
Adam Tonderski, Carl Lindström, Georg Hess, William Ljungbergh, Lennart Svensson, Christoffer Petersson
NeuRAD: Neural Rendering for Autonomous Driving. CoRR (2023)
Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindström, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving. CoRR (2023)
Georg Hess, Johan Jaxing, Elias Svensson, David Hagerman, Christoffer Petersson, Lennart Svensson
Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds. WACV (Workshops) (2023)
Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Henk Wymeersch, Lennart Svensson
Deep Learning for Model-Based Multiobject Tracking. IEEE Trans. Aerosp. Electron. Syst. 59 (6) (2023)
Juliano Pinto, Georg Hess, Yuxuan Xia, Henk Wymeersch, Lennart Svensson
Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing. CoRR (2023)
Georg Hess, Christoffer Petersson, Lennart Svensson
Object Detection as Probabilistic Set Prediction. CoRR (2022)
Georg Hess, Johan Jaxing, Elias Svensson, David Hagerman, Christoffer Petersson, Lennart Svensson
Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds. CoRR (2022)
Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Henk Wymeersch, Lennart Svensson
Can Deep Learning be Applied to Model-Based Multi-Object Tracking? CoRR (2022)
Georg Hess, Adam Tonderski, Christoffer Petersson, Lennart Svensson, Kalle Åström
LidarCLIP or: How I Learned to Talk to Point Clouds. CoRR (2022)
Georg Hess, Christoffer Petersson, Lennart Svensson
Object Detection as Probabilistic Set Prediction. ECCV (10) (2022)
Georg Hess, William Ljungbergh
Deep Deterministic Path Following. CoRR (2021)
Jonas Berlin, Georg Hess, Anton Karlsson, William Ljungbergh, Ze Zhang, Knut Åkesson, Per-Lage Götvall
Trajectory Generation for Mobile Robots in a Dynamic Environment using Nonlinear Model Predictive Control. CASE (2021)
Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Lennart Svensson, Henk Wymeersch
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning. CoRR (2021)
Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Lennart Svensson, Henk Wymeersch
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning. FUSION (2021)