Time-Space Tradeoff in Deep Learning Models for Crop Classification on Satellite Multi-Spectral Image Time Series. - Vivien Sainte Fare Garnot; Loïc Landrieu; Sébastien Giordano; Nesrine Chehata (IGARSS, 2019)

Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention. - Vivien Sainte Fare Garnot; Loïc Landrieu; Sébastien Giordano; Nesrine Chehata (CVPR, 2020)

Lightweight Temporal Self-attention for Classifying Satellite Images Time Series. - Vivien Sainte Fare Garnot; Loïc Landrieu (AALTD@PKDD/ECML, 2020)

Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series. - Vivien Sainte Fare Garnot; Loïc Landrieu (CoRR, 2020)

Metric-Guided Prototype Learning. - Vivien Sainte Fare Garnot; Loïc Landrieu (CoRR, 2020)

Leveraging Class Hierarchies with Metric-Guided Prototype Learning. - Vivien Sainte Fare Garnot; Loïc Landrieu (BMVC, 2021)

Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks. - Vivien Sainte Fare Garnot; Loïc Landrieu (ICCV, 2021)

Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series. - Vivien Sainte Fare Garnot; Loïc Landrieu; Nesrine Chehata (CoRR, 2021)

Learning Spatio-temporal Representations of Satellite Time Series for Large-scale Crop Mapping. (Apprendre des representations spatio-temporelles de series temporelles d'images satellites pour la cartographie agricole). - Vivien Sainte Fare Garnot (2022)

UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series. - Patrick Ebel 002; Vivien Sainte Fare Garnot; Michael Schmitt 003; Jan Dirk Wegner; Xiao Xiang Zhu 001 (CVPR Workshops, 2023)

Mixture of Experts with Uncertainty Voting for Imbalanced Deep Regression Problems. - Yuchang Jiang; Vivien Sainte Fare Garnot; Konrad Schindler; Jan Dirk Wegner (CoRR, 2023)

Accuracy and Consistency of Space-based Vegetation Height Maps for Forest Dynamics in Alpine Terrain. - Yuchang Jiang; Marius Rüetschi; Vivien Sainte Fare Garnot; Mauro Marty; Konrad Schindler; Christian Ginzler; Jan D. Wegner (CoRR, 2023)

U-TILISE: A Sequence-to-Sequence Model for Cloud Removal in Optical Satellite Time Series. - Corinne Stucker; Vivien Sainte Fare Garnot; Konrad Schindler (IEEE Trans. Geosci. Remote. Sens., 2023)

Uncertainty Voting Ensemble for Imbalanced Deep Regression. - Yuchang Jiang; Vivien Sainte Fare Garnot; Konrad Schindler; Jan Dirk Wegner (GCPR (1), 2024)

An Open-Source Tool for Mapping War Destruction at Scale in Ukraine using Sentinel-1 Time Series. - Olivier Dietrich; Torben Peters; Vivien Sainte Fare Garnot; Valerie Sticher; Thao Ton-That Whelan; Konrad Schindler; Jan Dirk Wegner (CoRR, 2024)

Deep learning meets tree phenology modeling: PhenoFormer vs. process-based models. - Vivien Sainte Fare Garnot; Lynsay Spafford; Jelle Lever; Christian Sigg; Barbara Pietragalla; Yann Vitasse; Arthur Gessler; Jan Dirk Wegner (CoRR, 2024)

GSR4B: Biomass Map Super-Resolution with Sentinel-1/2 Guidance. - Kaan Karaman; Yuchang Jiang; Damien Robert 002; Vivien Sainte Fare Garnot; Maria João Santos; Jan Dirk Wegner (CoRR, 2025)