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LUCAS DRUMETZ
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Open Visualization
Name
Affiliation
Papers
LUCAS DRUMETZ
Grenoble Inst Technol, Image & Signal Dept, Grenoble Images Speech Signals & Automat Lab, F-38402 St Martin Dheres, France
22
Collaborators
Citations
PageRank
62
51
8.63
Referers
Referees
References
107
206
130
Search Limit
100
206
Publications (22 rows)
Collaborators (62 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Joint Interpolation And Representation Learning For Irregularly Sampled Satellite-Derived Geophysical Fields
0
0.34
2021
LEARNING SENTINEL-2 SPECTRAL DYNAMICS FOR LONG-RUN PREDICTIONS USING RESIDUAL NEURAL NETWORKS
0
0.34
2021
Subspace Detours Meet Gromov-Wasserstein
0
0.34
2021
End-to-End Kalman Filter for the Reconstruction of Sea Surface Dynamics from Satellite Data.
0
0.34
2021
Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme
0
0.34
2021
Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization
1
0.35
2021
Spectral Variability Aware Blind Hyperspectral Image Unmixing Based On Convex Geometry
0
0.34
2020
Neural Network Approaches To Reconstruct Phytoplankton Time-Series In The Global Ocean
0
0.34
2020
Residual Networks as Flows of Diffeomorphisms
2
0.38
2020
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations.
2
0.37
2019
Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms.
3
0.39
2019
Hyperspectral Classification Through Unmixing Abundance Maps Addressing Spectral Variability
1
0.35
2019
Spatial Characterization Of Marine Vegetation Using Semisupervised Hyperspectral Unmixing
0
0.34
2019
Robust Linear Unmixing With Enhanced Sparsity
0
0.34
2017
Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity.
2
0.36
2017
Relationships Between Nonlinear and Space-Variant Linear Models in Hyperspectral Image Unmixing.
3
0.40
2017
Hyperspectral Local Intrinsic Dimensionality.
2
0.39
2016
Canonical polyadic decomposition of hyperspectral patch tensors.
0
0.34
2016
Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability.
35
1.26
2015
Semiautomatic classification of cementitious materials using scanning electron microscope images
0
0.34
2015
A New Extended Linear Mixing Model To Address Spectral Variability
0
0.34
2014
Binary partition tree-based local spectral unmixing
0
0.34
2014
1