Georg Hess

Doktorand vid Signalbehandling

Källa: chalmers.se
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Visar 9 publikationer

2024

Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap

Carl Lindström, Georg Hess, Adam Lilja et al
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, p. 4461-4471
Paper i proceeding
2024

LidarCLIP or: How I Learned to Talk to Point Clouds

Georg Hess, Adam Tonderski, Christoffer Petersson et al
Proceedings of the 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), p. 7423-7432
Paper i proceeding
2023

Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving

Mina Alibeigi, William Ljungbergh, Adam Tonderski et al
2023 IEEE/CVF International Conference on Computer Vision, p. 20121-20131
Paper i proceeding
2023

Deep Learning for Model-Based Multi-Object Tracking

Juliano Pinto, Georg Hess, William Ljungbergh et al
IEEE Transactions on Aerospace and Electronic Systems. Vol. 59 (6), p. 7363-7379
Artikel i vetenskaplig tidskrift
2023

Masked Autoencoder for Self-Supervised Pre-Training on Lidar Point Clouds

Georg Hess, Johan Jaxing, Elias Svensson et al
Proceedings - 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023, p. 350-359
Paper i proceeding
2023

Deep Learning for Model-Based Multiobject Tracking

Juliano Pinto, Georg Hess, William Ljungbergh et al
IEEE Transactions on Aerospace and Electronic Systems. Vol. 59 (6), p. 7363-7379
Artikel i vetenskaplig tidskrift
2022

Object Detection as Probabilistic Set Prediction

Georg Hess, Christoffer Petersson, Lennart Svensson
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 13670 LNCS (XVIII), p. 550-566
Paper i proceeding
2021

Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning

Juliano Pinto, Georg Hess, William Ljungbergh et al
Proceedings of 2021 IEEE 24th International Conference on Information Fusion, FUSION 2021, p. 1059-1066
Paper i proceeding
2021

Trajectory Generation for Mobile Robots in a Dynamic Environment using Nonlinear Model Predictive Control

Jonas Berlin, Georg Hess, Anton Karlsson et al
IEEE International Conference on Automation Science and Engineering. Vol. 2021-August, p. 942-947
Paper i proceeding

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