Marc Rußwurm

According to our database, Marc Rußwurm authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Imbalance-aware Presence-only Loss Function for Species Distribution Modeling.

Robin Zbinden, Nina Van Tiel, Marc Rußwurm, Devis Tuia

CoRR, 2024

2023

Data-Centric Machine Learning for Geospatial Remote Sensing Data.

Ribana Roscher, Marc Rußwurm, Caroline Gevaert, Michael Kampffmeyer, Jefersson A. dos Santos, Maria Vakalopoulou, Ronny Hänsch, Stine Hansen, Keiller Nogueira, Jonathan Prexl, Devis Tuia

CoRR, 2023

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery.

Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Rußwurm

CoRR, 2023

Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks.

Marc Rußwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia

CoRR, 2023

Large-scale Detection of Marine Debris in Coastal Areas with Sentinel-2.

Marc Rußwurm, Sushen Jilla Venkatesa, Devis Tuia

CoRR, 2023

Detection of Settlements in Tanzania and Mozambique by Many Regional Few-Shot Models.

Marc Rußwurm, Lloyd Haydn Hughes, Giorgio Pasquali, Corneliu Octavian Dumitru, Devis Tuia

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Classification of Tropical Deforestation Drivers with Machine Learning and Satellite Image Time Series.

Jan Pisl, Lloyd Haydn Hughes, Marc Rußwurm, Devis Tuia

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Improving Few-Shot Object Detection with Object Part Proposals.

Arthur Chevalley, Ciprian Tomoiaga, Marcin Detyniecki, Marc Rußwurm, Devis Tuia

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management.

Oleg Antropov, Matthieu Molinier, Ridvan Salih Kuzu, Lloyd H. Hughes, Marc Rußwurm, Devis Tuia, Corneliu Octavian Dumitru, Shaojia Ge, Sudipan Saha, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Data-Driven Feature Learning with Discriminative Models for Satellite Time Series.

Marc Rußwurm

PhD thesis, 2022

Humans are Poor Few-Shot Classifiers for Sentinel-2 Land Cover.

Marc Rußwurm, Sherrie Wang, Devis Tuia

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Time Dependent Image Generation of Plants from Incomplete Sequences with CNN-Transformer.

Lukas Drees, Immanuel Weber, Marc Rußwurm, Ribana Roscher

Proceedings of the Pattern Recognition, 2022

2021

DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space.

Lukas Kondmann, Aysim Toker, Marc Rußwurm, Andrés Camero, Devis Peressuti, Grega Milcinski, Pierre-Philippe Mathieu, Nicolas Longépé, Timothy Davis, Giovanni Marchisio, Laura Leal-Taixé, Xiaoxiang Zhu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

InSAR Displacement Time Series Mining: A Machine Learning Approach.

Homa Ansari, Marc Rußwurm, Mohsin Ali, Sina Montazeri, Alessandro Parizzi, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Tslearn, A Machine Learning Toolkit for Time Series Data.

Romain Tavenard, Johann Faouzi, Gilles Vandewiele, Felix Divo, Guillaume Androz, Chester Holtz, Marie Payne, Roman Yurchak, Marc Rußwurm, Kushal Kolar, Eli Woods

J. Mach. Learn. Res., 2020

Model and Data Uncertainty for Satellite Time Series Forecasting with Deep Recurrent Models.

Marc Rußwurm, Mohsin Ali, Xiaoxiang Zhu, Yarin Gal, Marco Körner

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Meta-Learning for Few-Shot Land Cover Classification.

Marc Rußwurm, Sherrie Wang, Marco Körner, David B. Lobell

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Self-Attention for Raw Optical Satellite Time Series Classification.

Marc Rußwurm, Marco Körner

CoRR, 2019

Early Classification for Agricultural Monitoring from Satellite Time Series.

Marc Rußwurm, Romain Tavenard, Sébastien Lefèvre, Marco Körner

CoRR, 2019

BreizhCrops: A Satellite Time Series Dataset for Crop Type Identification.

Marc Rußwurm, Sébastien Lefèvre, Marco Körner

CoRR, 2019

End-to-end Learning for Early Classification of Time Series.

Marc Rußwurm, Sébastien Lefèvre, Nicolas Courty, Rémi Emonet, Marco Körner, Romain Tavenard

CoRR, 2019

Sequential Recurrent Encoders for Land Cover Mapping in The Brazilian Amazon Using Modis Imagery and Auxiliary Datasets.

Alejandro Coca-Castro, Marc Rußwurm, Louis Reymondin, Mark Mulligan

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery.

Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopacková, Piotr Bilinski

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders.

Marc Rußwurm, Marco Körner

ISPRS Int. J. Geo Inf., 2018

Multi³Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery.

Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopacková, Piotr Bilinski

CoRR, 2018

Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing Imagery.

Marc Rußwurm, Marco Körner

CoRR, 2018

2017

Temporal Vegetation Modelling Using Long Short-Term Memory Networks for Crop Identification from Medium-Resolution Multi-spectral Satellite Images.

Marc Rußwurm, Marco Körner

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017