Vivien Sainte Fare Garnot
Vivien Sainte Fare Garnot
EcoVision Lab - University of Zürich
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Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention
VSF Garnot, L Landrieu, S Giordano, N Chehata
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
VSF Garnot, L Landrieu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series
VSF Garnot, L Landrieu, S Giordano, N Chehata
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series
VSF Garnot, L Landrieu
arXiv e-prints, arXiv: 2007.00586, 2020
Multi-modal temporal attention models for crop mapping from satellite time series
VSF Garnot, L Landrieu, N Chehata
ISPRS Journal of Photogrammetry and Remote Sensing 187, 294-305, 2022
Leveraging Class Hierarchies with Metric-Guided Prototype Learning
L Landrieu, VSF Garnot
British Machine Vision Conference (BMVC), 2021
Coupled Climate-Economic Modes in the Sahel's Interannual Variability
VSF Garnot, A Groth, M Ghil
Ecological economics 153, 111-123, 2018
Mixture of Experts with Uncertainty Voting for Imbalanced Deep Regression Problems
Y Jiang, VSF Garnot, K Schindler, JD Wegner
arXiv preprint arXiv:2305.15178, 2023
U-TILISE: A Sequence-to-sequence Model for Cloud Removal in Optical Satellite Time Series
C Stucker, VSF Garnot, K Schindler
arXiv preprint arXiv:2305.13277, 2023
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series
P Ebel, VSF Garnot, M Schmitt, JD Wegner, XX Zhu
arXiv preprint arXiv:2304.05464, 2023
Learning Spatio-temporal Representations of Satellite Time Series for Large-scale Crop Mapping
VSF Garnot
University Gustave Eiffel, 2022
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