| Self-supervised visual terrain classification from unsupervised acoustic feature learning J Zürn, W Burgard, A Valada IEEE Transactions on Robotics 37 (2), 466-481, 2020 | 110 | 2020 |
| Heatnet: Bridging the day-night domain gap in semantic segmentation with thermal images J Vertens, J Zürn, W Burgard 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 76 | 2020 |
| Lane graph estimation for scene understanding in urban driving J Zürn, J Vertens, W Burgard IEEE Robotics and Automation Letters 6 (4), 8615-8622, 2021 | 29 | 2021 |
| Learning and aggregating lane graphs for urban automated driving M Büchner, J Zürn, IG Todoran, A Valada, W Burgard Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
| Shape memory alloy based controllable multi-port microvalve C Megnin, B Moradi, J Zuern, H Ossmer, M Gueltig, M Kohl Microsystem Technologies 26 (3), 793-800, 2020 | 13 | 2020 |
| Self-supervised moving vehicle detection from audio-visual cues J Zürn, W Burgard IEEE Robotics and Automation Letters 7 (3), 7415-7422, 2022 | 10 | 2022 |
| Heatnet: Bridging the day-night domain gap in semantic segmentation with thermal images. In 2020 IEEE J Vertens, J Zürn, W Burgard RSJ International Conference on Intelligent Robots and Systems (IROS), 8461-8468, 0 | 7 | |
| Trackletmapper: Ground surface segmentation and mapping from traffic participant trajectories J Zürn, S Weber, W Burgard 6th Annual Conference on Robot Learning, 2022 | 5 | 2022 |
| Autograph: Predicting lane graphs from traffic observations J Zürn, I Posner, W Burgard IEEE Robotics and Automation Letters 9 (1), 73-80, 2023 | 3 | 2023 |
| Effects of fibrosis on the extracellular potential based on 3D reconstructions from histological sections of heart tissue: A proof of concept simulation study M Rottmann, J Zürn, U Arslan, K Klingel, O Dössel Current Directions in Biomedical Engineering 2 (1), 675-678, 2016 | 2 | 2016 |
| WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous Driving J Zürn, P Gladkov, S Dudas, F Cotter, S Toteva, J Shotton, V Simaiaki, ... arXiv preprint arXiv:2407.08280, 2024 | | 2024 |
| Neural Networks for Steady-State Fluid Flow Prediction J Zürn Karlsruhe Institute of Technology, 2018 | | 2018 |
| Block 1, Lecture 1: Object Detection J Zürn | | |
Wolfram BurgardProfessor of Computer Science, Technical University of Nuremberg在 utn.de 的电子邮件经过验证
