| Monocular quasi-dense 3d object tracking HN Hu, YH Yang, T Fischer, T Darrell, F Yu, M Sun IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 1992-2008, 2022 | 175 | 2022 |
| Track to reconstruct and reconstruct to track J Luiten*, T Fischer*, B Leibe IEEE Robotics and Automation Letters 5 (2), 1803-1810, 2020 | 173 | 2020 |
| QDTrack: quasi-dense similarity learning for appearance-only multiple object tracking T Fischer*, TE Huang*, J Pang*, L Qiu, H Chen, T Darrell, F Yu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 161 | 2023 |
| OVTrack: Open-Vocabulary Multiple Object Tracking S Li*, T Fischer*, L Ke, H Ding, M Danelljan, F Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 97 | 2023 |
| R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras A Schmied*, T Fischer*, M Danelljan, M Pollefeys, F Yu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 47 | 2023 |
| Mapanything: Universal feed-forward metric 3d reconstruction N Keetha, N Müller, J Schönberger, L Porzi, Y Zhang, T Fischer, ... arXiv preprint arXiv:2509.13414, 2025 | 46 | 2025 |
| CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion T Fischer*, YH Yang*, S Kumar, M Sun, F Yu 6th Annual Conference on Robot Learning, 2022 | 40 | 2022 |
| Dynamic 3D Gaussian Fields for Urban Areas T Fischer, J Kulhanek, SR Bulò, L Porzi, M Pollefeys, P Kontschieder The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 39 | 2024 |
| Multi-level neural scene graphs for dynamic urban environments T Fischer, L Porzi, SR Bulo, M Pollefeys, P Kontschieder Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 26 | 2024 |
| CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking N Baumann, M Baumgartner, E Ghignone, J Kühne, T Fischer, YH Yang, ... IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024 | 18 | 2024 |
| MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation L Yang, L Hoyer, M Weber, T Fischer, D Dai, L Leal-Taixé, D Cremers, ... European Conference on Computer Vision (ECCV), 2024 | 16 | 2024 |
| Know your neighbors: Improving single-view reconstruction via spatial vision-language reasoning R Li, T Fischer, M Segu, M Pollefeys, L Van Gool, F Tombari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 15 | 2024 |
| FlowR: Flowing from Sparse to Dense 3D Reconstructions T Fischer, SR Bulò, YH Yang, N Keetha, L Porzi, N Müller, K Schwarz, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2025 | 5 | 2025 |
| Frame-level proximity and touch recognition using capacitive sensing and semi-supervised sequential modeling T Fischer*, M Etchart*, E Biempica 2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018 | 3 | 2018 |
Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Spatial AI Lab, MicrosoftVerified email at inf.ethz.ch
