| Primal-Dual Mesh Convolutional Neural Networks F Milano, A Loquercio, A Rosinol, D Scaramuzza, L Carlone Advances in Neural Information Processing Systems 33, 2020 | 107 | 2020 |
| Continual Adaptation of Semantic Segmentation Using Complementary 2D-3D Data Representations J Frey, H Blum, F Milano, R Siegwart, C Cadena IEEE Robotics and Automation Letters 7 (4), 11665-11672, 2022 | 14* | 2022 |
| Unsupervised Continual Semantic Adaptation through Neural Rendering Z Liu, F Milano, J Frey, R Siegwart, H Blum, C Cadena Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| 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 |
| Self-Improving Semantic Perception for Indoor Localisation H Blum, F Milano, R Zurbrügg, R Siegwart, C Cadena, A Gawel Conference on Robot Learning, 1211-1222, 2022 | 6 | 2022 |
| Panoptic Vision-Language Feature Fields H Chen, K Blomqvist, F Milano, R Siegwart IEEE Robotics and Automation Letters, 2024 | 3 | 2024 |
| 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 |
| 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 |
