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Georg Hess
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2020 – today
- 2024
- [c6]Georg Hess, Adam Tonderski, Christoffer Petersson, Kalle Åström, Lennart Svensson:
LidarCLIP or: How I Learned to Talk to Point Clouds. WACV 2024: 7423-7432 - [i10]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 abs/2403.16092 (2024) - 2023
- [j1]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): 7363-7379 (2023) - [c5]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: 20121-20131 - [c4]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: 350-359 - [i9]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 abs/2305.02008 (2023) - [i8]Adam Tonderski, Carl Lindström, Georg Hess, William Ljungbergh, Lennart Svensson, Christoffer Petersson:
NeuRAD: Neural Rendering for Autonomous Driving. CoRR abs/2311.15260 (2023) - [i7]Juliano Pinto, Georg Hess, Yuxuan Xia, Henk Wymeersch, Lennart Svensson:
Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing. CoRR abs/2312.17261 (2023) - 2022
- [c3]Georg Hess
, Christoffer Petersson, Lennart Svensson
:
Object Detection as Probabilistic Set Prediction. ECCV (10) 2022: 550-566 - [i6]Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Henk Wymeersch, Lennart Svensson:
Can Deep Learning be Applied to Model-Based Multi-Object Tracking? CoRR abs/2202.07909 (2022) - [i5]Georg Hess, Christoffer Petersson, Lennart Svensson:
Object Detection as Probabilistic Set Prediction. CoRR abs/2203.07980 (2022) - [i4]Georg Hess
, Johan Jaxing, Elias Svensson, David Hagerman, Christoffer Petersson, Lennart Svensson:
Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds. CoRR abs/2207.00531 (2022) - [i3]Georg Hess, Adam Tonderski, Christoffer Petersson, Lennart Svensson, Kalle Åström:
LidarCLIP or: How I Learned to Talk to Point Clouds. CoRR abs/2212.06858 (2022) - 2021
- [c2]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: 942-947 - [c1]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: 1-8 - [i2]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 abs/2104.00734 (2021) - [i1]Georg Hess, William Ljungbergh:
Deep Deterministic Path Following. CoRR abs/2104.06014 (2021)
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