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
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
Volnet: estimating human body part volumes from a single rgb image
F Leinen, V Cozzolino, T Schön
arXiv preprint arXiv:2107.02259, 2021
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
Perceiver Hopfield Pooling for Dynamic Multi-modal and Multi-instance Fusion
D Rößle, D Cremers, T Schön
Artificial Neural Networks and Machine Learning–ICANN 2022: 31st …, 2022
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
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
Learning Distance Functions For Gene Expression Data
T Schön
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