| Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion A Meraner, P Ebel, XX Zhu, M Schmitt ISPRS Journal of Photogrammetry and Remote Sensing 166, 333-346, 2020 | 309 | 2020 |
| Multisensor data fusion for cloud removal in global and all-season Sentinel-2 imagery P Ebel, A Meraner, M Schmitt, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 59 (7), 5866-5878, 2020 | 130* | 2020 |
| Beyond cartesian representations for local descriptors P Ebel, A Mishchuk, KM Yi, P Fua, E Trulls Proceedings of the IEEE/CVF International Conference on Computer Vision, 253-262, 2019 | 125 | 2019 |
| SEN12MS-CR-TS: A Remote-Sensing Data Set for Multimodal Multitemporal Cloud Removal P Ebel, Y Xu, M Schmitt, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022 | 88* | 2022 |
| Weakly supervised semantic segmentation of satellite images for land cover mapping--challenges and opportunities M Schmitt, J Prexl, P Ebel, L Liebel, XX Zhu arXiv preprint arXiv:2002.08254, 2020 | 77 | 2020 |
| GLF-CR: SAR-enhanced cloud removal with global–local fusion F Xu, Y Shi, P Ebel, L Yu, GS Xia, W Yang, XX Zhu ISPRS Journal of Photogrammetry and Remote Sensing 192, 268-278, 2022 | 59 | 2022 |
| Thresholding functional connectomes by means of mixture modeling NZ Bielczyk, F Walocha, PW Ebel, KV Haak, A Llera, JK Buitelaar, ... NeuroImage 171, 402-414, 2018 | 33 | 2018 |
| Fusing multi-modal data for supervised change detection P Ebel, S Saha, XX Zhu The international archives of the photogrammetry, remote sensing and spatial …, 2021 | 29 | 2021 |
| UnCRtainTS: Uncertainty quantification for cloud removal in optical satellite time series P Ebel, VSF Garnot, M Schmitt, JD Wegner, XX Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| Supervised change detection using prechange optical-SAR and postchange SAR data S Saha, M Shahzad, P Ebel, XX Zhu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 21 | 2022 |
| Explaining the effects of clouds on remote sensing scene classification J Gawlikowski, P Ebel, M Schmitt, XX Zhu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 17 | 2022 |
| Building an ASR system for Mboshi using a cross-language definition of acoustic units approach O Scharenborg, P Ebel, F Ciannella, M Hasegawa-Johnson, N Dehak 6th Workshop on Spoken Language Technologies for Under-resourced Languages …, 2018 | 8 | 2018 |
| Multimodal and Multiresolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and Benchmark F Xu, Y Shi, P Ebel, W Yang, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 62, 1-15, 2023 | 7* | 2023 |
| Self-Supervised Multisensor Change Detection S Saha, P Ebel, XX Zhu Transactions on Geoscience and Remote Sensing 60, 1-10, 2022 | 6 | 2022 |
| Explicit Haze & Cloud Removal for Global Land Cover Classification Z Gu, P Ebel, Q Yuan, M Schmitt, XX Zhu CVPR 2022 Workshop on Multimodal Learning for Earth and Environment, 2022 | 5 | 2022 |
| Self-supervised Multisensor Change Detection S Saha, P Ebel, XX Zhu arXiv preprint arXiv:2103.05102, 0 | 3 | |
| SpikeCaKe: Semi-analytic nonparametric Bayesian inference for spike-spike neuronal connectivity L Ambrogioni, P Ebel, M Hinne, U Güçlü, M Gerven, E Maris The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 2 | 2019 |
| Exploring the Potential of SAR Data for Cloud Removal in Optical Satellite Imagery F Xu, Y Shi, P Ebel, L Yu, GS Xia, W Yang, XX Zhu arXiv preprint arXiv:2206.02850, 2022 | 1 | 2022 |
| 2024 ESA-ECMWF workshop report: current status, progress and opportunities in machine learning for Earth system observation and prediction P Ebel, R Schneider, M Bonavita, M Clare, A Jungbluth, M Pourshamsi, ... npj Climate and Atmospheric Science 7 (1), 241, 2024 | | 2024 |
| Off to new Shores: A Dataset & Benchmark for (near-) coastal Flood Inundation Forecasting B Victor, M Letard, P Naylor, K Douch, N Longépé, Z He, P Ebel arXiv preprint arXiv:2409.18591, 2024 | | 2024 |
Xiao Xiang ZhuTechnical University of MunichVerified email at tum.de
