Torsten Schön

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 15

Top Venues

CoRR

ITSC

ICRA

University of Regensburg (PHD)

Education History

University of Regensburg

PHD

Publications

Dominik Rößle, Jeremias Gerner, Klaus Bogenberger, Daniel Cremers, Stefanie Schmidtner, Torsten Schön
Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction. CoRR (2024)
Dominik Rößle, Jeremias Gerner, Klaus Bogenberger, Daniel Cremers, Stefanie Schmidtner, Torsten Schön
Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction. IV (2024)
Henrik Radtke, Henrik Bey, Moritz Sackmann, Torsten Schön
Predicting Driver Behavior on the Highway with Multi-Agent Adversarial Inverse Reinforcement Learning. IV (2023)
Mauren Louise Sguario C. Andrade, Matheus Velloso Nogueira, Eduardo Candioto Fidelis, Luiz Henrique Aguiar Campos, Pietro Lo Presti Campos, Torsten Schön, Lester de Abreu Faria
Exploiting GAN Capacity to Generate Synthetic Automotive Radar Data. VISIGRAPP (4: VISAPP) (2023)
Diogo Wachtel, Samuel Queiroz, Torsten Schön, Werner Huber, Lester de Abreu Faria
A novel Conditional Generative Adversarial Networks for Automotive Radar Range-Doppler Targets Synthetic Generation. ITSC (2023)
Eduardo Candioto Fidelis, Fabio Reway, Herick Y. S. Ribeiro, Pietro Lo Presti Campos, Werner Huber, Christian Icking, Lester de Abreu Faria, Torsten Schön
Generation of Realistic Synthetic Raw Radar Data for Automated Driving Applications using Generative Adversarial Networks. CoRR (2023)
Jeremias Gerner, Dominik Rößle, Daniel Cremers, Klaus Bogenberger, Torsten Schön, Stefanie Schmidtner
Enhancing Realistic Floating Car Observers in Microscopic Traffic Simulation. ITSC (2023)
Dominik Rößle, Daniel Cremers, Torsten Schön
Perceiver Hopfield Pooling for Dynamic Multi-modal and Multi-instance Fusion. ICANN (1) (2022)
Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. CoRR (2021)
Thangapavithraa Balaji, Patrick Blies, Georg Göri, Raphael Mitsch, Marcel Wasserer, Torsten Schön
Temporally coherent video anonymization through GAN inpainting. CoRR (2021)
Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. ICRA (2021)
Fabian Leinen, Vittorio Cozzolino, Torsten Schön
VolNet: Estimating Human Body Part Volumes from a Single RGB Image. CoRR (2021)
Qadeer Khan, Torsten Schön, Patrick Wenzel
Towards Self-Supervised High Level Sensor Fusion. CoRR (2019)
Qadeer Khan, Torsten Schön, Patrick Wenzel
Semantic Label Reduction Techniques for Autonomous Driving. CoRR (2019)
Qadeer Khan, Torsten Schön, Patrick Wenzel
Latent Space Reinforcement Learning for Steering Angle Prediction. CoRR (2019)
Torsten Schön, Martin Stetter, Ana Maria Tomé, Carlos García Puntonet, Elmar Wolfgang Lang
Physarum Learner: A bio-inspired way of learning structure from data. Expert Syst. Appl. 41 (11) (2014)
Torsten Schön, Martin Stetter, Ana Maria Tomé, Elmar Wolfgang Lang
A New Physarum Learner for Network Structure Learning from Biomedical Data. BIOSIGNALS (2013)
Torsten Schön, Martin Stetter, Elmar Wolfgang Lang
Structure Learning for Bayesian Networks Using the Physarum Solver. ICMLA (1) (2012)
Torsten Schön, Alexey Tsymbal, Martin Huber
Gene-pair representation and incorporation of GO-based semantic similarity into classification of gene expression data. Intell. Data Anal. 16 (5) (2012)
Torsten Schön, Alexey Tsymbal, Martin Huber
Gene-Pair Representation and Incorporation of GO-based Semantic Similarity into Classification of Gene Expression Data. RSCTC (2010)

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Publication Activity (10 Years)

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Torsten Schön