Patrick Ebel

26 papers A* 2A 1C 3Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
SHRUG-FM: Reliability-Aware Foundation Models for Earth Observation.
CoRR
Kai-Hendrik Cohrs, Zuzanna Osika, Maria Gonzalez-Calabuig, Vishal Nedungadi, Ruben Cartuyvels, Steffen Knoblauch, Joppe Massant, Shruti Nath, Patrick Ebel, Vasileios Sitokonstantinou
2024 — conf
Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting.
CVPR Workshops
Patrick Ebel, Brandon Victor, Peter Naylor, Gabriele Meoni, Federico Serva, Rochelle Schneider
2024 J jnl
Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting.
CoRR
Patrick Ebel, Brandon Victor, Peter Naylor, Gabriele Meoni, Federico Serva, Rochelle Schneider
2024 J jnl
Multimodal and Multiresolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and Benchmark.
IEEE Trans. Geosci. Remote. Sens.
Fang Xu, Yilei Shi, Patrick Ebel, Wen Yang, Xiao Xiang Zhu
2024 A* conf
Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting.
NeurIPS
Brandon Victor, Mathilde Letard, Peter Naylor, Karim Douch, Nicolas Longépé, Zhen He, Patrick Ebel
2024 J jnl
Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting.
CoRR
Brandon Victor, Mathilde Letard, Peter Naylor, Karim Douch, Nicolas Longépé, Zhen He, Patrick Ebel
2023 J jnl
High-Resolution Cloud Removal with Multi-Modal and Multi-Resolution Data Fusion: A New Baseline and Benchmark.
CoRR
Fang Xu, Yilei Shi, Patrick Ebel, Wen Yang, Xiao Xiang Zhu
2023 — conf
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series.
CVPR Workshops
Patrick Ebel, Vivien Sainte Fare Garnot, Michael Schmitt, Jan Dirk Wegner, Xiao Xiang Zhu
2023 J jnl
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series.
CoRR
Patrick Ebel, Vivien Sainte Fare Garnot, Michael Schmitt, Jan Dirk Wegner, Xiao Xiang Zhu
2022 J jnl
Explaining the Effects of Clouds on Remote Sensing Scene Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jakob Gawlikowski, Patrick Ebel, Michael Schmitt, Xiao Xiang Zhu
2022 J jnl
Exploring the Potential of SAR Data for Cloud Removal in Optical Satellite Imagery.
CoRR
Fang Xu, Yilei Shi, Patrick Ebel, Lei Yu, Gui-Song Xia, Wen Yang, Xiao Xiang Zhu
2022 C conf
Multi-Sensor Time Series Cloud Removal Fusing Optical and SAR Satellite Information.
IGARSS
Patrick Ebel, Yajin Xu, Michael Schmitt, Xiao Xiang Zhu
2022 J jnl
SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal.
CoRR
Patrick Ebel, Yajin Xu, Michael Schmitt, Xiaoxiang Zhu
2022 J jnl
SEN12MS-CR-TS: A Remote-Sensing Data Set for Multimodal Multitemporal Cloud Removal.
IEEE Trans. Geosci. Remote. Sens.
Patrick Ebel, Yajin Xu, Michael Schmitt, Xiao Xiang Zhu
2022 J jnl
Self-Supervised Multisensor Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Sudipan Saha, Patrick Ebel, Xiao Xiang Zhu
2022 J jnl
Supervised Change Detection Using Prechange Optical-SAR and Postchange SAR Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Sudipan Saha, Muhammad Shahzad, Patrick Ebel, Xiao Xiang Zhu
2021 C conf
Internal Learning for Sequence-to-Sequence Cloud Removal via Synthetic Aperture Radar Prior Information.
IGARSS
Patrick Ebel, Michael Schmitt, Xiao Xiang Zhu
2021 J jnl
Multisensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery.
IEEE Trans. Geosci. Remote. Sens.
Patrick Ebel, Andrea Meraner, Michael Schmitt, Xiao Xiang Zhu
2021 J jnl
Self-supervised Multisensor Change Detection.
CoRR
Sudipan Saha, Patrick Ebel, Xiao Xiang Zhu
2020 C conf
Cloud Removal in Unpaired Sentinel-2 Imagery Using Cycle-Consistent GAN and SAR-Optical Data Fusion.
IGARSS
Patrick Ebel, Michael Schmitt, Xiao Xiang Zhu
2020 J jnl
Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery.
CoRR
Patrick Ebel, Andrea Meraner, Michael Schmitt, Xiaoxiang Zhu
2020 J jnl
Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping - Challenges and Opportunities.
CoRR
Michael Schmitt, Jonathan Prexl, Patrick Ebel, Lukas Liebel, Xiao Xiang Zhu
2019 A* conf
Beyond Cartesian Representations for Local Descriptors.
ICCV
Patrick Ebel, Eduard Trulls, Kwang Moo Yi, Pascal Fua, Anastasiia Mishchuk
2019 J jnl
Beyond Cartesian Representations for Local Descriptors.
CoRR
Patrick Ebel, Anastasiia Mishchuk, Kwang Moo Yi, Pascal Fua, Eduard Trulls
2019 A conf
SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity.
AISTATS
Luca Ambrogioni, Patrick Ebel, Max Hinne, Umut Güçlü, Marcel van Gerven, Eric Maris
2018 — conf
Building an ASR System for Mboshi Using A Cross-Language Definition of Acoustic Units Approach.
SLTU
Odette Scharenborg, Patrick Ebel, Mark Hasegawa-Johnson, Najim Dehak