Torsten Schön
Torsten Schön
Technische Hochschule Ingolstadt
Verified email at - Homepage
Cited by
Cited by
Vision-based mobile robotics obstacle avoidance with deep reinforcement learning
P Wenzel, T Schön, L Leal-Taixé, D Cremers
2021 IEEE International Conference on Robotics and Automation (ICRA), 14360 …, 2021
Physarum learner: A bio-inspired way of learning structure from data
T Schön, M Stetter, AM Tomé, CG Puntonet, EW Lang
Expert systems with applications 41 (11), 5353-5370, 2014
Latent space reinforcement learning for steering angle prediction
Q Khan, T Schön, P Wenzel
arXiv preprint arXiv:1902.03765, 2019
Temporally coherent video anonymization through GAN inpainting
T Balaji, P Blies, G Göri, R Mitsch, M Wasserer, T Schön
arXiv preprint arXiv:2106.02328, 2021
Structure learning for Bayesian networks using the physarum solver
T Schön, M Stetter, EW Lang
2012 11th International Conference on Machine Learning and Applications 1 …, 2012
Semantic label reduction techniques for autonomous driving
Q Khan, T Schön, P Wenzel
arXiv preprint arXiv:1902.03777, 2019
Physarum Learner: a novel structure learning algorithm for Bayesian Networks inspired by Physarum polycephalum
T Schön
A New Physarum Learner for Network Structure Learning from Biomedical Data.
T Schön, M Stetter, AM Tomé, EW Lang
BIOSIGNALS, 151-156, 2013
Gene-pair representation and incorporation of GO-based semantic similarity into classification of gene expression data
T Schön, A Tsymbal, M Huber
Intelligent Data Analysis 16 (5), 827-843, 2012
Towards self-supervised high level sensor fusion
Q Khan, T Schön, P Wenzel
arXiv preprint arXiv:1902.04272, 2019
Efficient Noninvasive FHB Estimation using RGB Images from a Novel Multiyear, Multirater Dataset
D Rößle, L Prey, L Ramgraber, A Hanemann, D Cremers, PO Noack, ...
Plant Phenomics 5, 0068, 2023
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic Segmentation
H Schieber, F Duerr, T Schoen, J Beyerer
2022 IEEE Intelligent Vehicles Symposium (IV), 375-381, 2022
Volnet: estimating human body part volumes from a single rgb image
F Leinen, V Cozzolino, T Schön
arXiv preprint arXiv:2107.02259, 2021
Generation of Realistic Synthetic Raw Radar Data for Automated Driving Applications using Generative Adversarial Networks
EC Fidelis, F Reway, H Ribeiro, PL Campos, W Huber, C Icking, LA Faria, ...
arXiv preprint arXiv:2308.02632, 2023
Predicting Driver Behavior on the Highway with Multi-Agent Adversarial Inverse Reinforcement Learning
H Radtke, H Bey, M Sackmann, T Schön
2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023
Exploiting GAN Capacity to Generate Synthetic Automotive Radar Data
MLSC de Andrade, M Velloso Nogueira, E Candioto Fidelis, ...
Proceedings of the 18th International Joint Conference on Computer Vision …, 2023
Perceiver Hopfield Pooling for Dynamic Multi-modal and Multi-instance Fusion
D Rößle, D Cremers, T Schön
International Conference on Artificial Neural Networks, 599-610, 2022
AImotion Challenge Results: a Framework for AirSim Autonomous Vehicles and Motion Replication
BJ Souza, LC de Assis, D Rößle, RZ Freire, D Cremers, T Schön, ...
2022 2nd International Conference on Computers and Automation (CompAuto), 42-47, 2022
Artificial Intelligence Inspired by Human Learning
T Schön
Technische Hochschule Ingolstadt, 2022
Physarum Learner: A Slime Mold Inspired Structural Learning Approach
T Schön, M Stetter, O Belova, A Koch, AM Tomé, EW Lang
Advances in Physarum Machines: Sensing and Computing with Slime Mould, 489-517, 2016
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