| Predator: Registration of 3d point clouds with low overlap S Huang, Z Gojcic, M Usvyatsov, A Wieser, K Schindler Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2021 | 247 | 2021 |
| Inference, learning and attention mechanisms that exploit and preserve sparsity in CNNs T Hackel, M Usvyatsov, S Galliani, JD Wegner, K Schindler International journal of computer vision 128, 1047-1059, 2020 | 20 | 2020 |
| Indoor scene recognition in 3D S Huang, M Usvyatsov, K Schindler 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 14 | 2020 |
| Muon trigger for mobile phones M Borisyak, M Usvyatsov, M Mulhearn, C Shimmin, A Ustyuzhanin Journal of Physics: Conference Series 898 (3), 032048, 2017 | 13 | 2017 |
| tntorch: Tensor network learning with PyTorch M Usvyatsov, R Ballester-Ripoll, K Schindler The Journal of Machine Learning Research 23 (1), 9394-9399, 2022 | 6 | 2022 |
| Cherry-picking gradients: Learning low-rank embeddings of visual data via differentiable cross-approximation M Usvyatsov, A Makarova, R Ballester-Ripoll, M Rakhuba, A Krause, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 5 | 2021 |
| TT-NF: Tensor Train Neural Fields A Obukhov, M Usvyatsov, C Sakaridis, K Schindler, L Van Gool arXiv preprint arXiv:2209.15529, 2022 | 4 | 2022 |
| T4DT: Tensorizing Time for Learning Temporal 3D Visual Data M Usvyatsov, R Ballester-Rippoll, L Bashaeva, K Schindler, G Ferrer, ... arXiv preprint arXiv:2208.01421, 2022 | 2 | 2022 |
| Visual recognition in the wild by sampling deep similarity functions M Usvyatsov, K Schindler 2019 International Conference on Robotics and Automation (ICRA), 2341-2347, 2019 | 2 | 2019 |
| Potential and limitations of tensor methods for learning on visual data M Usvyatsov ETH Zurich, 2022 | | 2022 |
Konrad SchindlerProfessor of Photogrammetry and Remote Sensing, ETH ZurichBestätigte E-Mail-Adresse bei ethz.ch
