| Deepjdot: Deep joint distribution optimal transport for unsupervised domain adaptation BB Damodaran, B Kellenberger, R Flamary, D Tuia, N Courty Proceedings of the European conference on computer vision (ECCV), 447-463, 2018 | 528 | 2018 |
| Perspectives in machine learning for wildlife conservation D Tuia, B Kellenberger, S Beery, BR Costelloe, S Zuffi, B Risse, A Mathis, ... Nature communications 13 (1), 1-15, 2022 | 436 | 2022 |
| Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning B Kellenberger, D Marcos, D Tuia Remote sensing of environment 216, 139-153, 2018 | 331 | 2018 |
| Land cover mapping at very high resolution with rotation equivariant CNNs: Towards small yet accurate models D Marcos, M Volpi, B Kellenberger, D Tuia ISPRS journal of photogrammetry and remote sensing 145, 96-107, 2018 | 266 | 2018 |
| Learning deep structured active contours end-to-end D Marcos, D Tuia, B Kellenberger, L Zhang, M Bai, R Liao, R Urtasun Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 191 | 2018 |
| Half a percent of labels is enough: Efficient animal detection in UAV imagery using deep CNNs and active learning B Kellenberger, D Marcos, S Lobry, D Tuia IEEE Transactions on Geoscience and Remote Sensing 57 (12), 9524-9533, 2019 | 135 | 2019 |
| Fast animal detection in UAV images using convolutional neural networks B Kellenberger, M Volpi, D Tuia 2017 IEEE international geoscience and remote sensing symposium (IGARSS …, 2017 | 109 | 2017 |
| Deep learning for automated detection of Drosophila suzukii: potential for UAV‐based monitoring PPJ Roosjen, B Kellenberger, L Kooistra, DR Green, J Fahrentrapp Pest Management Science 76 (9), 2994-3002, 2020 | 78 | 2020 |
| Scale equivariance in CNNs with vector fields D Marcos, B Kellenberger, S Lobry, D Tuia arXiv preprint arXiv:1807.11783, 2018 | 64 | 2018 |
| 21 000 birds in 4.5 h: efficient large‐scale seabird detection with machine learning B Kellenberger, T Veen, E Folmer, D Tuia Remote Sensing in Ecology and Conservation 7 (3), 445-460, 2021 | 50 | 2021 |
| AIDE: Accelerating image‐based ecological surveys with interactive machine learning B Kellenberger, D Tuia, D Morris Methods in Ecology and Evolution 11 (12), 1716-1727, 2020 | 35 | 2020 |
| When a few clicks make all the difference: Improving weakly-supervised wildlife detection in UAV images B Kellenberger, D Marcos, D Tuia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 34 | 2019 |
| Mapping forest in the Swiss Alps treeline ecotone with explainable deep learning TA Nguyen, B Kellenberger, D Tuia Remote Sensing of Environment 281, 113217, 2022 | 27 | 2022 |
| How to find a good image-text embedding for remote sensing visual question answering? C Chappuis, S Lobry, B Kellenberger, BL Saux, D Tuia arXiv preprint arXiv:2109.11848, 2021 | 24 | 2021 |
| Counting using deep learning regression gives value to ecological surveys JPA Hoekendijk, B Kellenberger, G Aarts, S Brasseur, SSH Poiesz, D Tuia Scientific reports 11 (1), 23209, 2021 | 17 | 2021 |
| Self-supervised pretraining and controlled augmentation improve rare wildlife recognition in UAV images X Zheng, B Kellenberger, R Gong, I Hajnsek, D Tuia Proceedings of the IEEE/CVF International Conference on Computer Vision, 732-741, 2021 | 16 | 2021 |
| Fine-grained population mapping from coarse census counts and open geodata N Metzger, JE Vargas-Muñoz, RC Daudt, B Kellenberger, TTT Whelan, ... Scientific Reports 12 (1), 20085, 2022 | 15 | 2022 |
| Better generic objects counting when asking questions to images: A multitask approach for remote sensing visual question answering S Lobry, D Marcos, B Kellenberger, D Tuia ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 | 14 | 2020 |
| The wheel of design: Assessing and refining the usability of geoportals B Kellenberger, I Iosifescu Enescu, R Nicola, CM Iosifescu Enescu, ... International Journal of Cartography 2 (1), 95-112, 2016 | 14 | 2016 |
| Deep domain adaptation in earth observation B Kellenberger, O Tasar, B Bhushan Damodaran, N Courty, D Tuia Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021 | 13 | 2021 |
