Vivien Sainte Fare Garnot

According to our database, Vivien Sainte Fare Garnot authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

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

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

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

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

Mixture of Experts with Uncertainty Voting for Imbalanced Deep Regression Problems.

Yuchang Jiang, Vivien Sainte Fare Garnot, Konrad Schindler, Jan Dirk Wegner

CoRR, 2023

UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series.

Patrick Ebel, Vivien Sainte Fare Garnot, Michael Schmitt, Jan Dirk Wegner, Xiao Xiang Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

PhD thesis, 2022

2021

Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series.

Vivien Sainte Fare Garnot, Loïc Landrieu, Nesrine Chehata

CoRR, 2021

Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks.

Vivien Sainte Fare Garnot, Loïc Landrieu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Leveraging Class Hierarchies with Metric-Guided Prototype Learning.

Vivien Sainte Fare Garnot, Loïc Landrieu

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Metric-Guided Prototype Learning.

Vivien Sainte Fare Garnot, Loïc Landrieu

CoRR, 2020

Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series.

Vivien Sainte Fare Garnot, Loïc Landrieu

CoRR, 2020

Lightweight Temporal Self-attention for Classifying Satellite Images Time Series.

Vivien Sainte Fare Garnot, Loïc Landrieu

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020

Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention.

Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata

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

2019

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

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