Torsten Schön

According to our database, Torsten Schön authored at least 28 papers between 2010 and 2026.

Collaborative distances:

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

2026

Embedding Arithmetic: A Lightweight, Tuning-Free Framework for Post-hoc Bias Mitigation in Text-to-Image Models.

Venkatesh Thirugnana Sambandham, Torsten Schön

CoRR, April, 2026

Operationalizing Fairness in Text-to-Image Models: A Survey of Bias, Fairness Audits and Mitigation Strategies.

Megan Smith, Venkatesh Thirugnana Sambandham, Florian Richter, Laura Crompton, Matthias Uhl, Torsten Schön

CoRR, April, 2026

Zwitscherkasten - DIY Audiovisual bird monitoring.

Dominik Blum, Elias Häring, Fabian Jirges, Martin Schäffer, David Schick, Florian Schulenberg, Torsten Schön

CoRR, February, 2026

DrivIng: A Large-Scale Multimodal Driving Dataset with Full Digital Twin Integration.

Dominik Rößle, Xujun Xie, Adithya Mohan, Venkatesh Thirugnana Sambandham, Daniel Cremers, Torsten Schön

CoRR, January, 2026

Toward Robust Agents: A Survey of Adversarial Attacks and Defenses in Deep Reinforcement Learning.

Adithya Mohan, Torsten Schön

IEEE Access, 2026

2025

UrbanIng-V2X: A Large-Scale Multi-Vehicle, Multi-Infrastructure Dataset Across Multiple Intersections for Cooperative Perception.

Karthikeyan Chandra Sekaran, Markus Geisler, Dominik Rößle, Adithya Mohan, Daniel Cremers, Wolfgang Utschick, Michael Botsch, Werner Huber, Torsten Schön

CoRR, October, 2025

Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield Data.

Calvin Kammerlander, Viola Kolb, Marinus Luegmair, Lou Scheermann, Maximilian Schmailzl, Marco Seufert, Jiayun Zhang, Denis Dalic, Torsten Schön

CoRR, March, 2025

Environment Setup and Model Benchmark of the MuFoRa Dataset.

Islam Fadl, Torsten Schön, Valentino Behret, Thomas Brandmeier, Frank Palme, Thomas Helmer

Proceedings of the 20th International Joint Conference on Computer Vision, 2025

Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach.

Adithya Mohan, Dominik Rößle, Daniel Cremers, Torsten Schön

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

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 26th 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 26th 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

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

2010

Gene-Pair Representation and Incorporation of GO-based Semantic Similarity into Classification of Gene Expression Data.

Torsten Schön, Alexey Tsymbal, Martin Huber

Proceedings of the Rough Sets and Current Trends in Computing, 2010