518 citations
- Université Grenoble AlpesFR56 papers
- Centre National de la Recherche ScientifiqueFR34 papers
- Institut national de recherche en sciences et technologies du numériqueFR33 papers
- Institut polytechnique de GrenobleFR13 papers
- Centre Inria de l'Université Grenoble AlpesFR12 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE4 papers
- GIPSA-LabFR4 papers
- Technical University of MunichDE4 papers
- Aerospace Information Research InstituteCN3 papers
- Chinese Academy of SciencesCN3 papers
- ETH ZurichCH3 papers
- Helmholtz Institute Freiberg for Resource TechnologyDE3 papers
11 papers · 1 filter
CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities
Hugo Porta, Emanuele Dalsasso, Jessica L. McCarty +1
Canada experienced in 2023 one of the most severe wildfire seasons in recent history, causing damage across ecosystems, destroying communities, and emitting large quantities of CO2…
SUnAA: Sparse Unmixing using Archetypal Analysis
Behnood Rasti, Alexandre Zouaoui, Julien Mairal +1
This paper introduces a new sparse unmixing technique using archetypal analysis (SUnAA). First, we design a new model based on archetypal analysis. We assume that the endmembers of…
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives
Jun Yue, Leyuan Fang, Pedram Ghamisi +4
In recent years, supervised learning has been widely used in various tasks of optical remote sensing image understanding, including remote sensing image classification, pixel-wise…
Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model
Danfeng Hong, Jingliang Hu, Jing Yao +2
As remote sensing (RS) data obtained from different sensors become available largely and openly, multimodal data processing and analysis techniques have been garnering increasing i…
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data
Danfeng Hong, Naoto Yokoya, Gui-Song Xia +2
This paper addresses the problem of semi-supervised transfer learning with limited cross-modality data in remote sensing. A large amount of multi-modal earth observation images, su…
Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction
Yana Hasson, Bugra Tekin, Federica Bogo +3
Modeling hand-object manipulations is essential for understanding how humans interact with their environment. While of practical importance, estimating the pose of hands and object…