Previous Experience
With his work, Dr Torsten Sattler has contributed to the Institute of Visual Computing at one of the world’s leading universities in the field of technology and natural sciences, ETH Zurich, Switzerland. He graduated in computer science and got his doctoral degree at RWTH Aachen, the largest university of technology in Germany and one of the most renowned in Europe.
Before joining CIIRC, Dr Torsten Sattler worked at the Chalmers Technical University in Gothenburg, Sweden. His main research interest is 3D computer vision, with a special focus on 3D reconstruction and visual localization. At CIIRC CTU he expects to build a team of five people working on machine learning and 3D Computer Vision.
Current Focus
His work has direct applications in robotics. At RICAIP at CIIRC CTU, he will have the possibility to work with great robotics researchers. Together they can explore the interconnections of computer vision, robotics, augmented reality, and AI. He is planning to work on advanced localization and 3D reconstruction algorithms that work robustly and reliably on a wider range of scenes while modelling the fact that the real world is dynamic.
Publications
| Jonathan Ventura, Zuzana Kukelova, Torsten Sattler, Daniel Barath P1AC: Revisiting Absolute Pose From a Single Affine Correspondence. International Conference on Computer Vision (ICCV) 2023. | |
| Kunal Chelani, Torsten Sattler, Fredrik Kahl, Zuzana Kukelova Privacy-Preserving Representations Are Not Enough: Recovering Scene Content From Camera Poses, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | |
| S Bhayani, V Larsson, T Sattler, J Heikkila, Z Kukelova Partially calibrated semi-generalized pose from hybrid point correspondences. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. | |
| G Berton, R Mereu, G Trivigno, C Masone, G Csurka, T Sattler, B Caputo Deep Visual Geo-Localization Benchmark. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | |
| M Humenberger, Y Cabon, N Pion, P Weinzaepfel, D Lee, N Guérin, T Sattler, G Csurka Investigating the Role of Image Retrieval for Visual Localization. International Journal of Computer Vision. | |
| A Adam, T Sattler, K Karantzalos, T Pajdla Objects Can Move: 3D Change Detection by Geometric Transformation Consistency. European Conference on Computer Vision (ECCV), 2022. | |
| V Panek, Z Kuikelova, T Sattler MeshLoc: Mesh-Based Visual Localization. European Conference on Computer Vision (ECCV), 2022. | |
| J Kulhánek, E Derner, T Sattler, R Babuska ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers. European Conference on Computer Vision (ECCV), 2022. | |
| Z Yu, S Peng, M Niemeyer, T Sattler, A Geiger MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction. 2022 Conference on Neural Information Processing Systems NeurIPS | |
| A Jafarzadeh, M López Antequera, P Gargallo, Y Kuang, C Toft, F Kahl, T Sattler: CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization IEEE International Conference on Computer Vision (ICCV) (2021) | |
| S Bhayani, T Sattler, D Barath, P Beliansky, J Heikkila, Z Kukelova: Calibrated and Partially Calibrated Semi-Generalized Homographies IEEE International Conference on Computer Vision (ICCV) (2021) | |
| E Brachmann, M Humenberger, C Rother, T Sattler: On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation IEEE International Conference on Computer Vision (ICCV) (2021) | |
| V Guzov, A Mir, T Sattler, G Pons-Moll: Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2021) (oral, best paper candidate) | |
| P-E Sarlin, A Unagar, M Larsson, H Germain, C Toft, V Larsson, M Pollefeys, V Lepetit, L Hammarstrand, F Kahl, T Sattler: Back to the Feature: Learning Robust Camera Localization from Pixels to Pose IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2021) | |
| K Chelani, F Kahl, T Sattler: How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2021) (oral) | |
| Q Zhou, T Sattler, L Leal-Taixe: Patch2Pix: Epipolar-Guided Pixel-Level Correspondences IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2021) | |
| A Sunegard, L Svensson, T Sattler: Deep LiDAR localization using optical flow sensor-map correspondences IEEE International Conference on 3D Vision (3DV) (2020) | |
| E Stenborg, T Sattler, L Hammarstrand: Using Image Sequences for Long-Term Visual Localization IEEE International Conference on 3D Vision (3DV) (2020) | |
| N Pion, M Humenberger, G Csurka, Y Cabon, T Sattler: Benchmarking Image Retrieval for Visual Localization IEEE International Conference on 3D Vision (3DV) (2020) | |
| Z Zhang, T Sattler, D Scaramuzza: Reference Pose Generation for Long-term Visual Localization via Learned Features and View Synthesis, International Journal of Computer Vision, Special Issue on Performance Evaluation in Computer Vision, 2020. |
