Torsten Schön

31 papers A* 1B 1C 2Journal 17Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DrivIng: A Large-Scale Multimodal Driving Dataset with Full Digital Twin Integration. CoRR Dominik Rößle, Xujun Xie, Adithya Mohan, Venkatesh Thirugnana Sambandham, Daniel Cremers, Torsten Schön
2026	J	`jnl`	Toward Robust Agents: A Survey of Adversarial Attacks and Defenses in Deep Reinforcement Learning. IEEE Access Adithya Mohan, Torsten Schön
2026	J	`jnl`	Zwitscherkasten - DIY Audiovisual bird monitoring. CoRR Dominik Blum, Elias Häring, Fabian Jirges, Martin Schäffer, David Schick, Florian Schulenberg, Torsten Schön
2025	—	`conf`	Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach. ITSC Adithya Mohan, Dominik Rößle, Daniel Cremers, Torsten Schön
2025	J	`jnl`	Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach. CoRR Adithya Mohan, Dominik Rößle, Daniel Cremers, Torsten Schön
2025	—	`conf`	Environment Setup and Model Benchmark of the MuFoRa Dataset. VISIGRAPP (3): VISAPP Islam Fadl, Torsten Schön, Valentino Behret, Thomas Brandmeier, Frank Palme, Thomas Helmer
2025	J	`jnl`	Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield Data. CoRR Calvin Kammerlander, Viola Kolb, Marinus Luegmair, Lou Scheermann, Maximilian Schmailzl, Marco Seufert, Jiayun Zhang, Denis Dalic, Torsten Schön
2025	J	`jnl`	UrbanIng-V2X: A Large-Scale Multi-Vehicle, Multi-Infrastructure Dataset Across Multiple Intersections for Cooperative Perception. CoRR Karthikeyan Chandra Sekaran, Markus Geisler, Dominik Rößle, Adithya Mohan, Daniel Cremers, Wolfgang Utschick, Michael Botsch, Werner Huber, Torsten Schön
2024	B	`conf`	Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forces. RV Vahid Hashemi, Jan Kretínský, Sabine Rieder, Torsten Schön, Jan Vorhoff
2024	J	`jnl`	Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forces. CoRR Vahid Hashemi, Jan Kretínský, Sabine Rieder, Torsten Schön, Jan Vorhoff
2024	C	`conf`	Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction. IV Dominik Rößle, Jeremias Gerner, Klaus Bogenberger, Daniel Cremers, Stefanie Schmidtner, Torsten Schön
2024	J	`jnl`	Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction. CoRR Dominik Rößle, Jeremias Gerner, Klaus Bogenberger, Daniel Cremers, Stefanie Schmidtner, Torsten Schön
2023	—	`conf`	A novel Conditional Generative Adversarial Networks for Automotive Radar Range-Doppler Targets Synthetic Generation. ITSC Diogo Wachtel, Samuel Queiroz, Torsten Schön, Werner Huber, Lester de Abreu Faria
2023	—	`conf`	Enhancing Realistic Floating Car Observers in Microscopic Traffic Simulation. ITSC Jeremias Gerner, Dominik Rößle, Daniel Cremers, Klaus Bogenberger, Torsten Schön, Stefanie Schmidtner
2023	—	`conf`	Exploiting GAN Capacity to Generate Synthetic Automotive Radar Data. VISIGRAPP (4: VISAPP) 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
2023	J	`jnl`	Generation of Realistic Synthetic Raw Radar Data for Automated Driving Applications using Generative Adversarial Networks. CoRR Eduardo Candioto Fidelis, Fabio Reway, Herick Y. S. Ribeiro, Pietro Lo Presti Campos, Werner Huber, Christian Icking, Lester de Abreu Faria, Torsten Schön
2023	C	`conf`	Predicting Driver Behavior on the Highway with Multi-Agent Adversarial Inverse Reinforcement Learning. IV Henrik Radtke, Henrik Bey, Moritz Sackmann, Torsten Schön
2022	—	`conf`	Perceiver Hopfield Pooling for Dynamic Multi-modal and Multi-instance Fusion. ICANN (1) Dominik Rößle, Daniel Cremers, Torsten Schön
2021	J	`jnl`	Temporally coherent video anonymization through GAN inpainting. CoRR Thangapavithraa Balaji, Patrick Blies, Georg Göri, Raphael Mitsch, Marcel Wasserer, Torsten Schön
2021	A*	`conf`	Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. ICRA Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers
2021	J	`jnl`	Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. CoRR Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers
2021	J	`jnl`	VolNet: Estimating Human Body Part Volumes from a Single RGB Image. CoRR Fabian Leinen, Vittorio Cozzolino, Torsten Schön
2019	J	`jnl`	Latent Space Reinforcement Learning for Steering Angle Prediction. CoRR Qadeer Khan, Torsten Schön, Patrick Wenzel
2019	J	`jnl`	Semantic Label Reduction Techniques for Autonomous Driving. CoRR Qadeer Khan, Torsten Schön, Patrick Wenzel
2019	J	`jnl`	Towards Self-Supervised High Level Sensor Fusion. CoRR Qadeer Khan, Torsten Schön, Patrick Wenzel
2014	J	`jnl`	Physarum Learner: A bio-inspired way of learning structure from data. Expert Syst. Appl. Torsten Schön, Martin Stetter, Ana Maria Tomé, Carlos García Puntonet, Elmar Wolfgang Lang
2013	—	`conf`	A New Physarum Learner for Network Structure Learning from Biomedical Data. BIOSIGNALS Torsten Schön, Martin Stetter, Ana Maria Tomé, Elmar Wolfgang Lang
2013	—	`—`	Physarum Learner: a novel structure learning algorithm for Bayesian Networks inspired by Physarum polycephalum. Torsten Schön
2012	J	`jnl`	Gene-pair representation and incorporation of GO-based semantic similarity into classification of gene expression data. Intell. Data Anal. Torsten Schön, Alexey Tsymbal, Martin Huber
2012	—	`conf`	Structure Learning for Bayesian Networks Using the Physarum Solver. ICMLA (1) Torsten Schön, Martin Stetter, Elmar Wolfgang Lang
2010	—	`conf`	Gene-Pair Representation and Incorporation of GO-based Semantic Similarity into Classification of Gene Expression Data. RSCTC Torsten Schön, Alexey Tsymbal, Martin Huber