| Online learning adaptation strategy for DASH clients F Chiariotti, S D'Aronco, L Toni, P Frossard Proceedings of the 7th International Conference on Multimedia Systems, 1-12, 2016 | 98 | 2016 |
| Crop mapping from image time series: Deep learning with multi-scale label hierarchies MO Turkoglu, S D'Aronco, G Perich, F Liebisch, C Streit, K Schindler, ... Remote Sensing of Environment 264, 112603, 2021 | 72 | 2021 |
| Flood-water level estimation from social media images P Chaudhary, S D'Aronco, M Moy de Vitry, JP Leitão, JD Wegner ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019 | 69 | 2019 |
| Guided super-resolution as pixel-to-pixel transformation R Lutio, S D'aronco, JD Wegner, K Schindler Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 57 | 2019 |
| Gating revisited: Deep multi-layer RNNs that can be trained MO Turkoglu, S D'Aronco, JD Wegner, K Schindler IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4081-4092, 2021 | 42 | 2021 |
| Water level prediction from social media images with a multi-task ranking approach P Chaudhary, S D’Aronco, JP Leitão, K Schindler, JD Wegner ISPRS Journal of Photogrammetry and Remote Sensing 167, 252-262, 2020 | 36 | 2020 |
| Mapping oil palm density at country scale: An active learning approach AC Rodríguez, S D'Aronco, K Schindler, JD Wegner Remote Sensing of Environment 261, 112479, 2021 | 32 | 2021 |
| Deep active learning in remote sensing for data efficient change detection V Růžička, S D'Aronco, JD Wegner, K Schindler arXiv preprint arXiv:2008.11201, 2020 | 28 | 2020 |
| GeoGraph: graph-based multi-view object detection with geometric cues end-to-end AS Nassar, S D’aronco, S Lefèvre, JD Wegner Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 21 | 2020 |
| Pc2wf: 3d wireframe reconstruction from raw point clouds Y Liu, S D'Aronco, K Schindler, JD Wegner arXiv preprint arXiv:2103.02766, 2021 | 19 | 2021 |
| Learning graph regularisation for guided super-resolution R De Lutio, A Becker, S D'Aronco, S Russo, JD Wegner, K Schindler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 16 | 2022 |
| Crop classification under varying cloud cover with neural ordinary differential equations N Metzger, MO Turkoglu, S D’Aronco, JD Wegner, K Schindler IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2021 | 16 | 2021 |
| Improved utility-based congestion control for delay-constrained communication S D’Aronco, L Toni, S Mena, X Zhu, P Frossard IEEE/ACM Transactions on Networking 25 (1), 349-362, 2016 | 16 | 2016 |
| Price-based controller for utility-aware HTTP adaptive streaming S D'Aronco, L Toni, P Frossard IEEE MultiMedia, 2017 | 14 | 2017 |
| Film-ensemble: Probabilistic deep learning via feature-wise linear modulation MO Turkoglu, A Becker, HA Gündüz, M Rezaei, B Bischl, RC Daudt, ... Advances in Neural Information Processing Systems 35, 22229-22242, 2022 | 10 | 2022 |
| Online resource inference in network utility maximization problems S D'Aronco, P Frossard IEEE Transactions on Network Science and Engineering 6 (3), 432-444, 2018 | 9 | 2018 |
| The Herbarium 2021 Half–Earth Challenge Dataset and Machine Learning Competition R de Lutio, JY Park, KA Watson, S D'Aronco, JD Wegner, JJ Wieringa, ... Frontiers in Plant Science 12, 3320, 2022 | 8 | 2022 |
| Modeling of residual GNSS station motions through meteorological data in a machine learning approach P Ruttner, R Hohensinn, S D’Aronco, JD Wegner, B Soja Remote Sensing 14 (1), 17, 2021 | 8 | 2021 |
| Tropospheric delays derived from ground meteorological parameters: comparison between machine learning and empirical model approaches L Miotti, E Shehaj, A Geiger, S D'Aronco, JD Wegner, G Moeller, ... 2020 European Navigation Conference (ENC), 1-10, 2020 | 7 | 2020 |
| Price-based controller for quality-fair HTTP adaptive streaming S D’Aronco, L Toni, P Frossard 2016 IEEE International Symposium on Multimedia (ISM), 113-118, 2016 | 7 | 2016 |
