Temporal Vegetation Modelling Using Long Short-Term Memory Networks for Crop Identification from Medium-Resolution Multi-spectral Satellite Images. - Marc Rußwurm; Marco Körner 001 (CVPR Workshops, 2017)

Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing Imagery. - Marc Rußwurm; Marco Körner 001 (CoRR, 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)

Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders. - Marc Rußwurm; Marco Körner 001 (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 (AAAI, 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 (IGARSS, 2019)

End-to-end Learning for Early Classification of Time Series. - Marc Rußwurm; Sébastien Lefèvre; Nicolas Courty; Rémi Emonet; Marco Körner 001; Romain Tavenard (CoRR, 2019)

BreizhCrops: A Satellite Time Series Dataset for Crop Type Identification. - Marc Rußwurm; Sébastien Lefèvre; Marco Körner 001 (CoRR, 2019)

Early Classification for Agricultural Monitoring from Satellite Time Series. - Marc Rußwurm; Romain Tavenard; Sébastien Lefèvre; Marco Körner 001 (CoRR, 2019)

Self-Attention for Raw Optical Satellite Time Series Classification. - Marc Rußwurm; Marco Körner 001 (CoRR, 2019)

Meta-Learning for Few-Shot Land Cover Classification. - Marc Rußwurm; Sherrie Wang; Marco Körner 001; David B. Lobell (CVPR Workshops, 2020)

Model and Data Uncertainty for Satellite Time Series Forecasting with Deep Recurrent Models. - Marc Rußwurm; Mohsin Ali; Xiaoxiang Zhu 001; Yarin Gal; Marco Körner 001 (IGARSS, 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)

InSAR Displacement Time Series Mining: A Machine Learning Approach. - Homa Ansari; Marc Rußwurm; Mohsin Ali; Sina Montazeri; Alessandro Parizzi; Xiao Xiang Zhu 001 (IGARSS, 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 Peressutti; Grega Milcinski; Pierre-Philippe Mathieu; Nicolas Longépé; Timothy Davis; Giovanni Marchisio; Laura Leal-Taixé; Xiaoxiang Zhu 001 (NeurIPS Datasets and Benchmarks, 2021)

Time Dependent Image Generation of Plants from Incomplete Sequences with CNN-Transformer. - Lukas Drees; Immanuel Weber; Marc Rußwurm; Ribana Roscher (GCPR, 2022)

Humans are Poor Few-Shot Classifiers for Sentinel-2 Land Cover. - Marc Rußwurm; Sherrie Wang; Devis Tuia (IGARSS, 2022)

Data-Driven Feature Learning with Discriminative Models for Satellite Time Series. - Marc Rußwurm (2022)

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 001 (IGARSS, 2023)

Improving Few-Shot Object Detection with Object Part Proposals. - Arthur Chevalley; Ciprian Tomoiaga; Marcin Detyniecki; Marc Rußwurm; Devis Tuia (IGARSS, 2023)

Classification of Tropical Deforestation Drivers with Machine Learning and Satellite Image Time Series. - Jan Pisl; Lloyd Haydn Hughes; Marc Rußwurm; Devis Tuia (IGARSS, 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 (IGARSS, 2023)

Large-scale Detection of Marine Debris in Coastal Areas with Sentinel-2. - Marc Rußwurm; Sushen Jilla Venkatesa; Devis Tuia (CoRR, 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)

Datasets for "Where the White Continent is blue: deep learning locates bare ice in Antarctica". - Veronica Tollenaar; Harry Zekollari; Frank Pattyn; Marc Rußwurm; Benjamin Kellenberger; Stef Lhermitte; Maaike Izeboud; Devis Tuia (Zenodo, 2023)

Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks. - Marc Rußwurm; Konstantin Klemmer; Esther Rolf; Robin Zbinden; Devis Tuia (ICLR, 2024)

Imbalance-aware Presence-only Loss Function for Species Distribution Modeling. - Robin Zbinden; Nina Van Tiel; Marc Rußwurm; Devis Tuia (CoRR, 2024)

WildCLIP: Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models. - Valentin Gabeff; Marc Rußwurm; Devis Tuia; Alexander Mathis (Zenodo, 2024)

Datasets for "Where the White Continent is blue: deep learning locates bare ice in Antarctica". - Veronica Tollenaar; Harry Zekollari; Frank Pattyn; Marc Rußwurm; Benjamin Kellenberger; Stef Lhermitte; Maaike Izeboud; Devis Tuia (Zenodo, 2024)

Code for "Where the White Continent is blue: deep learning locates bare ice in Antarctica". - Veronica Tollenaar; Harry Zekollari; Frank Pattyn; Marc Rußwurm; Benjamin Kellenberger; Stef Lhermitte; Maaike Izeboud; Devis Tuia (Zenodo, 2024)

WildCLIP: Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models. - Valentin Gabeff; Marc Rußwurm; Devis Tuia; Alexander Mathis (Zenodo, 2024)

WildCLIP: Scene and Animal Attribute Retrieval from Camera Trap Data with Domain-Adapted Vision-Language Models. - Valentin Gabeff; Marc Rußwurm; Devis Tuia; Alexander Mathis (Int. J. Comput. Vis., 2024)

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery. - Konstantin Klemmer; Esther Rolf; Caleb Robinson; Lester Mackey; Marc Rußwurm (AAAI, 2025)

SAMSelect: A Spectral Index Search for Marine Debris Visualization Using Segment Anything. - Joost van Dalen; Yuki M. Asano; Marc Rußwurm (IEEE Geosci. Remote. Sens. Lett., 2025)

AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment. - Vishal Nedungadi; Muhammad Akhtar Munir; Marc Rußwurm; Ron Sarafian; Ioannis N. Athanasiadis; Yinon Rudich; Fahad Shahbaz Khan; Salman H. Khan 001 (CoRR, 2025)

From General to Specialized: The Need for Foundational Models in Agriculture. - Vishal Nedungadi; Xingguo Xiong; Aike Potze; Ron van Bree; Tao Lin; Marc Rußwurm; Ioannis N. Athanasiadis (CoRR, 2025)