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2020 – today
- 2024
[c11]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: 2220-2225- [c10]Vahid Hashemi, Jan Kretínský
, Sabine Rieder, Torsten Schön, Jan Vorhoff:
Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forces. RV 2024: 218-228 - [i9]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 abs/2401.14325 (2024) - [i8]Vahid Hashemi, Jan Kretínský, Sabine Rieder, Torsten Schön, Jan Vorhoff:
Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forces. CoRR abs/2410.06051 (2024) - 2023
- [c9]Jeremias Gerner, Dominik Rößle, Daniel Cremers, Klaus Bogenberger, Torsten Schön, Stefanie Schmidtner:
Enhancing Realistic Floating Car Observers in Microscopic Traffic Simulation. ITSC 2023: 2396-2403 - [c8]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: 3964-3969 - [c7]Henrik Radtke, Henrik Bey, Moritz Sackmann, Torsten Schön:
Predicting Driver Behavior on the Highway with Multi-Agent Adversarial Inverse Reinforcement Learning. IV 2023: 1-8 - [c6]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: 262-271 - [i7]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 abs/2308.02632 (2023) - 2022
- [c5]Dominik Rößle, Daniel Cremers, Torsten Schön:
Perceiver Hopfield Pooling for Dynamic Multi-modal and Multi-instance Fusion. ICANN (1) 2022: 599-610 - 2021
- [c4]Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers:
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. ICRA 2021: 14360-14366 - [i6]Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers:
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. CoRR abs/2103.04727 (2021) - [i5]Thangapavithraa Balaji, Patrick Blies, Georg Göri, Raphael Mitsch, Marcel Wasserer, Torsten Schön:
Temporally coherent video anonymization through GAN inpainting. CoRR abs/2106.02328 (2021) - [i4]Fabian Leinen, Vittorio Cozzolino, Torsten Schön:
VolNet: Estimating Human Body Part Volumes from a Single RGB Image. CoRR abs/2107.02259 (2021)
2010 – 2019
- 2019
- [i3]Qadeer Khan, Torsten Schön, Patrick Wenzel:
Latent Space Reinforcement Learning for Steering Angle Prediction. CoRR abs/1902.03765 (2019) - [i2]Qadeer Khan, Torsten Schön, Patrick Wenzel:
Semantic Label Reduction Techniques for Autonomous Driving. CoRR abs/1902.03777 (2019) - [i1]Qadeer Khan, Torsten Schön, Patrick Wenzel:
Towards Self-Supervised High Level Sensor Fusion. CoRR abs/1902.04272 (2019) - 2014
- [j2]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): 5353-5370 (2014) - 2013
- [b1]Torsten Schön:
Physarum Learner: a novel structure learning algorithm for Bayesian Networks inspired by Physarum polycephalum. University of Regensburg, 2013 - [c3]Torsten Schön, Martin Stetter, Ana Maria Tomé, Elmar Wolfgang Lang:
A New Physarum Learner for Network Structure Learning from Biomedical Data. BIOSIGNALS 2013: 151-156 - 2012
- [j1]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): 827-843 (2012) - [c2]Torsten Schön, Martin Stetter, Elmar Wolfgang Lang:
Structure Learning for Bayesian Networks Using the Physarum Solver. ICMLA (1) 2012: 488-493 - 2010
- [c1]Torsten Schön, Alexey Tsymbal, Martin Huber:
Gene-Pair Representation and Incorporation of GO-based Semantic Similarity into Classification of Gene Expression Data. RSCTC 2010: 217-226
Coauthor Index
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last updated on 2024-11-19 21:48 CET by the dblp team
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