Vivien Sainte Fare Garnot

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Multivariate Time Series

Satellite Images

Regression Problems

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Olivier Dietrich, Torben Peters, Vivien Sainte Fare Garnot, Valerie Sticher, Thao Ton-That Whelan, Konrad Schindler, Jan Dirk Wegner
An Open-Source Tool for Mapping War Destruction at Scale in Ukraine using Sentinel-1 Time Series. CoRR (2024)
Corinne Stucker, Vivien Sainte Fare Garnot, Konrad Schindler
U-TILISE: A Sequence-to-Sequence Model for Cloud Removal in Optical Satellite Time Series. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Patrick Ebel, Vivien Sainte Fare Garnot, Michael Schmitt, Jan Dirk Wegner, Xiao Xiang Zhu
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series. CVPR Workshops (2023)
Yuchang Jiang, Vivien Sainte Fare Garnot, Konrad Schindler, Jan Dirk Wegner
Mixture of Experts with Uncertainty Voting for Imbalanced Deep Regression Problems. CoRR (2023)
Yuchang Jiang, Marius Rüetschi, Vivien Sainte Fare Garnot, Mauro Marty, Konrad Schindler, Christian Ginzler, Jan D. Wegner
Accuracy and Consistency of Space-based Vegetation Height Maps for Forest Dynamics in Alpine Terrain. CoRR (2023)
Corinne Stucker, Vivien Sainte Fare Garnot, Konrad Schindler
U-TILISE: A Sequence-to-sequence Model for Cloud Removal in Optical Satellite Time Series. CoRR (2023)
Patrick Ebel, Vivien Sainte Fare Garnot, Michael Schmitt, Jan Dirk Wegner, Xiao Xiang Zhu
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series. CoRR (2023)
Vivien Sainte Fare Garnot, Loïc Landrieu
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks. ICCV (2021)
Vivien Sainte Fare Garnot, Loïc Landrieu
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks. CoRR (2021)
Vivien Sainte Fare Garnot, Loïc Landrieu, Nesrine Chehata
Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series. CoRR (2021)
Vivien Sainte Fare Garnot, Loïc Landrieu
Leveraging Class Hierarchies with Metric-Guided Prototype Learning. BMVC (2021)
Vivien Sainte Fare Garnot, Loïc Landrieu
Lightweight Temporal Self-attention for Classifying Satellite Images Time Series. AALTD@PKDD/ECML (2020)
Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata
Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention. CVPR (2020)
Vivien Sainte Fare Garnot, Loïc Landrieu
Metric-Guided Prototype Learning. CoRR (2020)
Vivien Sainte Fare Garnot, Loïc Landrieu
Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series. CoRR (2020)
Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata
Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series. CoRR (2019)
Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata
Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention. CoRR (2019)
Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata
Time-Space Tradeoff in Deep Learning Models for Crop Classification on Satellite Multi-Spectral Image Time Series. IGARSS (2019)