DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation B Bhushan Damodaran, B Kellenberger, R Flamary, D Tuia, N Courty Proceedings of the European Conference on Computer Vision (ECCV), 447-463, 2018 | 241 | 2018 |
Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning B Kellenberger, D Marcos, Diego, Tuia Remote Sensing of Environment 216, 139-153, 2018 | 176 | 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 | 158 | 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 | 123 | 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, 2019 | 65 | 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 | 45 | 2017 |
Scale equivariance in CNNs with vector fields D Marcos, B Kellenberger, S Lobry, D Tuia arXiv preprint arXiv:1807.11783, 2018 | 40 | 2018 |
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 | 22 | 2020 |
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 | 18 | 2022 |
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 Conference on Computer Vision and Pattern …, 2019 | 15 | 2019 |
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 | 8 | 2020 |
A Deep Network Approach to Multitemporal Cloud Detection D Tuia, B Kellenberger, A Pérez-Suey, G Camps-Valls IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 8 | 2018 |
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 | 8 | 2016 |
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 | 7 | 2021 |
Best Practices to Train Deep Models on Imbalanced Datasets—A Case Study on Animal Detection in Aerial Imagery B Kellenberger, D Marcos, D Tuia Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018 | 5 | 2018 |
Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport B Kellenberger, D Marcos, N Courty, D Tuia IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 4 | 2018 |
Counting using deep learning regression gives value to ecological surveys J Hoekendijk, B Kellenberger, G Aarts, S Brasseur, SSH Poiesz, D Tuia Scientific reports 11 (1), 1-12, 2021 | 2 | 2021 |
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 | 2 | 2021 |
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 | 2 | 2021 |
Mapping Vulnerable Populations with AI B Kellenberger, JE Vargas-Muñoz, D Tuia, RC Daudt, K Schindler, ... arXiv preprint arXiv:2107.14123, 2021 | 1 | 2021 |