Vision-based mobile robotics obstacle avoidance with deep reinforcement learning P Wenzel, T Schön, L Leal-Taixé, D Cremers 2021 IEEE International Conference on Robotics and Automation (ICRA), 14360 …, 2021 | 34 | 2021 |
Physarum learner: A bio-inspired way of learning structure from data T Schön, M Stetter, AM Tomé, CG Puntonet, EW Lang Expert systems with applications 41 (11), 5353-5370, 2014 | 14 | 2014 |
Latent space reinforcement learning for steering angle prediction Q Khan, T Schön, P Wenzel arXiv preprint arXiv:1902.03765, 2019 | 8 | 2019 |
Temporally coherent video anonymization through GAN inpainting T Balaji, P Blies, G Göri, R Mitsch, M Wasserer, T Schön arXiv preprint arXiv:2106.02328, 2021 | 5 | 2021 |
Deep sensor fusion with pyramid fusion networks for 3D semantic segmentation H Schieber, F Duerr, T Schoen, J Beyerer 2022 IEEE Intelligent Vehicles Symposium (IV), 375-381, 2022 | 4 | 2022 |
Semantic label reduction techniques for autonomous driving Q Khan, T Schön, P Wenzel arXiv preprint arXiv:1902.03777, 2019 | 4 | 2019 |
Structure learning for Bayesian networks using the physarum solver T Schön, M Stetter, EW Lang 2012 11th International Conference on Machine Learning and Applications 1 …, 2012 | 4 | 2012 |
Enhancing realistic floating car observers in microscopic traffic simulation J Gerner, D Rößle, D Cremers, K Bogenberger, T Schön, S Schmidtner 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 3 | 2023 |
Method for assisting a driver of a motor vehicle with respect to an imminent overtaking maneuver, and motor vehicle D Profendiner, T Schön US Patent 10,643,470, 2020 | 3 | 2020 |
Physarum Learner: a novel structure learning algorithm for Bayesian Networks inspired by Physarum polycephalum T Schön | 3 | 2013 |
A new Physarum learner for network structure learning from biomedical data T Schön, M Stetter, AM Tomé, EW Lang International Conference on Bio-inspired Systems and Signal Processing 2 …, 2013 | 3 | 2013 |
Gene-pair representation and incorporation of GO-based semantic similarity into classification of gene expression data T Schön, A Tsymbal, M Huber Intelligent Data Analysis 16 (5), 827-843, 2012 | 3 | 2012 |
Generation of Realistic Synthetic Raw Radar Data for Automated Driving Applications using Generative Adversarial Networks EC Fidelis, F Reway, H Ribeiro, PL Campos, W Huber, C Icking, LA Faria, ... arXiv preprint arXiv:2308.02632, 2023 | 2 | 2023 |
Method for operating a motor vehicle with the help of vital physiological data, motor vehicle and mobile terminal device T Schön US Patent 11,485,366, 2022 | 2 | 2022 |
Towards self-supervised high level sensor fusion Q Khan, T Schön, P Wenzel arXiv preprint arXiv:1902.04272, 2019 | 2 | 2019 |
Efficient Noninvasive FHB Estimation using RGB Images from a Novel Multiyear, Multirater Dataset D Rößle, L Prey, L Ramgraber, A Hanemann, D Cremers, PO Noack, ... Plant Phenomics 5, 0068, 2023 | 1 | 2023 |
Perceiver Hopfield Pooling for Dynamic Multi-modal and Multi-instance Fusion D Rößle, D Cremers, T Schön International Conference on Artificial Neural Networks, 599-610, 2022 | 1 | 2022 |
Method for assisting a user in the operation of a motor vehicle and motor-vehicle-external data server device T Schön US Patent 11,055,992, 2021 | 1 | 2021 |
Volnet: estimating human body part volumes from a single rgb image F Leinen, V Cozzolino, T Schön arXiv preprint arXiv:2107.02259, 2021 | 1 | 2021 |
Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction D Rößle, J Gerner, K Bogenberger, D Cremers, S Schmidtner, T Schön arXiv preprint arXiv:2401.14325, 2024 | | 2024 |