| Deep convolutional Gaussian processes K Blomqvist, S Kaski, M Heinonen Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 66 | 2020 |
| Go fetch: Mobile manipulation in unstructured environments K Blomqvist, M Breyer, A Cramariuc, J Förster, M Grinvald, F Tschopp, ... arXiv preprint arXiv:2004.00899, 2020 | 20 | 2020 |
| Neural implicit vision-language feature fields K Blomqvist, F Milano, JJ Chung, L Ott, R Siegwart 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 9 | 2023 |
| Baking in the feature: Accelerating volumetric segmentation by rendering feature maps K Blomqvist, L Ott, JJ Chung, R Siegwart 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 7 | 2023 |
| Semi-automatic 3D object keypoint annotation and detection for the masses K Blomqvist, JJ Chung, L Ott, R Siegwart 2022 26th International Conference on Pattern Recognition (ICPR), 3908-3914, 2022 | 6 | 2022 |
| Points2Vec: Unsupervised object-level feature learning from point clouds J Bachmann, K Blomqvist, J Förster, R Siegwart arXiv preprint arXiv:2102.04136, 2021 | 5 | 2021 |
| Panoptic vision-language feature fields H Chen, K Blomqvist, F Milano, R Siegwart IEEE Robotics and Automation Letters, 2024 | 3 | 2024 |
| NeRFing it: Offline Object Segmentation Through Implicit Modeling K Blomqvist, JJ Chung, L Ott, R Siegwart 2023 IEEE International Conference on Robotics and Automation (ICRA), 9407-9413, 2023 | 1 | 2023 |
| Grounding Pretrained Features in 3D Representations KT Blomqvist, F Milano, JJ Chung, L Ott, R Siegwart ICRA2023 Workshop on Pretraining for Robotics (PT4R), 2023 | 1 | 2023 |
| Under pressure: learning-based analog gauge reading in the wild M Reitsma, J Keller, K Blomqvist, R Siegwart arXiv preprint arXiv:2404.08785, 2024 | | 2024 |
| ISAR: A Benchmark for Single-and Few-Shot Object Instance Segmentation and Re-Identification N Gorlo, K Blomqvist, F Milano, R Siegwart Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| A Farewell to Supervision: Towards Self-supervised Autonomous Systems K Blomqvist ETH Zurich, 2023 | | 2023 |
Roland SiegwartProfessor of Robotics, ETH Zurich, SwitzerlandBestätigte E-Mail-Adresse bei ethz.ch
