Vivien Sainte Fare Garnot

23 papers A* 2A 1C 1Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Tree crop mapping of South America reveals links to deforestation and conservation. CoRR Yuchang Jiang, Anton Raichuk, Xiaoye Tong, Vivien Sainte Fare Garnot, Daniel Ortiz-Gonzalo, Dan Morris, Konrad Schindler, Jan Dirk Wegner, Maxim Neumann
2025	J	`jnl`	GSR4B: Biomass Map Super-Resolution with Sentinel-1/2 Guidance. CoRR Kaan Karaman, Yuchang Jiang, Damien Robert, Vivien Sainte Fare Garnot, Maria João Santos, Jan Dirk Wegner
2024	J	`jnl`	An Open-Source Tool for Mapping War Destruction at Scale in Ukraine using Sentinel-1 Time Series. CoRR Olivier Dietrich, Torben Peters, Vivien Sainte Fare Garnot, Valerie Sticher, Thao Ton-That Whelan, Konrad Schindler, Jan Dirk Wegner
2024	J	`jnl`	Deep learning meets tree phenology modeling: PhenoFormer vs. process-based models. CoRR Vivien Sainte Fare Garnot, Lynsay Spafford, Jelle Lever, Christian Sigg, Barbara Pietragalla, Yann Vitasse, Arthur Gessler, Jan Dirk Wegner
2024	—	`conf`	Uncertainty Voting Ensemble for Imbalanced Deep Regression. GCPR (1) Yuchang Jiang, Vivien Sainte Fare Garnot, Konrad Schindler, Jan Dirk Wegner
2023	J	`jnl`	Accuracy and Consistency of Space-based Vegetation Height Maps for Forest Dynamics in Alpine Terrain. CoRR Yuchang Jiang, Marius Rüetschi, Vivien Sainte Fare Garnot, Mauro Marty, Konrad Schindler, Christian Ginzler, Jan D. Wegner
2023	J	`jnl`	Mixture of Experts with Uncertainty Voting for Imbalanced Deep Regression Problems. CoRR Yuchang Jiang, Vivien Sainte Fare Garnot, Konrad Schindler, Jan Dirk Wegner
2023	J	`jnl`	U-TILISE: A Sequence-to-Sequence Model for Cloud Removal in Optical Satellite Time Series. IEEE Trans. Geosci. Remote. Sens. Corinne Stucker, Vivien Sainte Fare Garnot, Konrad Schindler
2023	J	`jnl`	U-TILISE: A Sequence-to-sequence Model for Cloud Removal in Optical Satellite Time Series. CoRR Corinne Stucker, Vivien Sainte Fare Garnot, Konrad Schindler
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	—	`—`	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
2021	A	`conf`	Leveraging Class Hierarchies with Metric-Guided Prototype Learning. BMVC Vivien Sainte Fare Garnot, Loïc Landrieu
2021	J	`jnl`	Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series. CoRR Vivien Sainte Fare Garnot, Loïc Landrieu, Nesrine Chehata
2021	A*	`conf`	Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks. ICCV Vivien Sainte Fare Garnot, Loïc Landrieu
2021	J	`jnl`	Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks. CoRR Vivien Sainte Fare Garnot, Loïc Landrieu
2020	J	`jnl`	Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series. CoRR Vivien Sainte Fare Garnot, Loïc Landrieu
2020	—	`conf`	Lightweight Temporal Self-attention for Classifying Satellite Images Time Series. AALTD@PKDD/ECML Vivien Sainte Fare Garnot, Loïc Landrieu
2020	J	`jnl`	Metric-Guided Prototype Learning. CoRR Vivien Sainte Fare Garnot, Loïc Landrieu
2020	A*	`conf`	Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention. CVPR Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata
2019	J	`jnl`	Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention. CoRR Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata
2019	C	`conf`	Time-Space Tradeoff in Deep Learning Models for Crop Classification on Satellite Multi-Spectral Image Time Series. IGARSS Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata
2019	J	`jnl`	Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series. CoRR Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata