Torsten Schön

According to our database, Torsten Schön authored at least 19 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forces.

Vahid Hashemi, Jan Kretínský, Sabine Rieder, Torsten Schön, Jan Vorhoff

Proceedings of the Runtime Verification - 24th International Conference, 2024

Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction.

Dominik Rößle, Jeremias Gerner, Klaus Bogenberger, Daniel Cremers, Stefanie Schmidtner, Torsten Schön

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023

Generation of Realistic Synthetic Raw Radar Data for Automated Driving Applications using Generative Adversarial Networks.

Eduardo Candioto Fidelis, Fabio Reway, Herick Y. S. Ribeiro, Pietro Lo Presti Campos, Werner Huber, Christian Icking, Lester de Abreu Faria, Torsten Schön

CoRR, 2023

Exploiting GAN Capacity to Generate Synthetic Automotive Radar Data.

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

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Predicting Driver Behavior on the Highway with Multi-Agent Adversarial Inverse Reinforcement Learning.

Henrik Radtke, Henrik Bey, Moritz Sackmann, Torsten Schön

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

A novel Conditional Generative Adversarial Networks for Automotive Radar Range-Doppler Targets Synthetic Generation.

Diogo Wachtel, Samuel Queiroz, Torsten Schön, Werner Huber, Lester de Abreu Faria

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Enhancing Realistic Floating Car Observers in Microscopic Traffic Simulation.

Jeremias Gerner, Dominik Rößle, Daniel Cremers, Klaus Bogenberger, Torsten Schön, Stefanie Schmidtner

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Perceiver Hopfield Pooling for Dynamic Multi-modal and Multi-instance Fusion.

Dominik Rößle, Daniel Cremers, Torsten Schön

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

VolNet: Estimating Human Body Part Volumes from a Single RGB Image.

Fabian Leinen, Vittorio Cozzolino, Torsten Schön

CoRR, 2021

Temporally coherent video anonymization through GAN inpainting.

Thangapavithraa Balaji, Patrick Blies, Georg Göri, Raphael Mitsch, Marcel Wasserer, Torsten Schön

CoRR, 2021

Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning.

Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2019

Towards Self-Supervised High Level Sensor Fusion.

Qadeer Khan, Torsten Schön, Patrick Wenzel

CoRR, 2019

Semantic Label Reduction Techniques for Autonomous Driving.

Qadeer Khan, Torsten Schön, Patrick Wenzel

CoRR, 2019

Latent Space Reinforcement Learning for Steering Angle Prediction.

Qadeer Khan, Torsten Schön, Patrick Wenzel

CoRR, 2019

2014

Physarum Learner: A bio-inspired way of learning structure from data.

Torsten Schön, Martin Stetter, Ana Maria Tomé, Carlos García Puntonet, Elmar Wolfgang Lang

Expert Syst. Appl., 2014

2013

Physarum Learner: a novel structure learning algorithm for Bayesian Networks inspired by Physarum polycephalum.

Torsten Schön

PhD thesis, 2013

A New Physarum Learner for Network Structure Learning from Biomedical Data.

Torsten Schön, Martin Stetter, Ana Maria Tomé, Elmar Wolfgang Lang

Proceedings of the BIOSIGNALS 2013, 2013

2012

Gene-pair representation and incorporation of GO-based semantic similarity into classification of gene expression data.

Torsten Schön, Alexey Tsymbal, Martin Huber

Intell. Data Anal., 2012

Structure Learning for Bayesian Networks Using the Physarum Solver.

Torsten Schön, Martin Stetter, Elmar Wolfgang Lang

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012