Patrick Ebel

Affiliations:
  • Technical University of Munich, Department of Aerospace and Geodesy, Germany
  • EPFL, Computer Vision Lab, Lausanne, Switzerland
  • Donders Centre for Cognitive Neuroimaging, Centre for Cognitive Neuroimaging, Nijmegen, The Netherlands
  • Radboud University, Centre for Language Studies, Nijmegen, The Netherlands


According to our database1, Patrick Ebel authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Multimodal and Multiresolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and Benchmark.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
High-Resolution Cloud Removal with Multi-Modal and Multi-Resolution Data Fusion: A New Baseline and Benchmark.
CoRR, 2023

UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Self-Supervised Multisensor Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2022

SEN12MS-CR-TS: A Remote-Sensing Data Set for Multimodal Multitemporal Cloud Removal.
IEEE Trans. Geosci. Remote. Sens., 2022

Supervised Change Detection Using Prechange Optical-SAR and Postchange SAR Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Explaining the Effects of Clouds on Remote Sensing Scene Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Exploring the Potential of SAR Data for Cloud Removal in Optical Satellite Imagery.
CoRR, 2022

SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal.
CoRR, 2022

Multi-Sensor Time Series Cloud Removal Fusing Optical and SAR Satellite Information.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Multisensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery.
IEEE Trans. Geosci. Remote. Sens., 2021

Internal Learning for Sequence-to-Sequence Cloud Removal via Synthetic Aperture Radar Prior Information.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery.
CoRR, 2020

Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping - Challenges and Opportunities.
CoRR, 2020

Cloud Removal in Unpaired Sentinel-2 Imagery Using Cycle-Consistent GAN and SAR-Optical Data Fusion.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Beyond Cartesian Representations for Local Descriptors.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Thresholding functional connectomes by means of mixture modeling.
NeuroImage, 2018

Building an ASR System for Mboshi Using A Cross-Language Definition of Acoustic Units Approach.
Proceedings of the 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages, 2018


  Loading...