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Andres Troya-Galvis
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2020 – today
- 2023
- [c9]Louis Béthune, Paul Novello, Guillaume Coiffier, Thibaut Boissin, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis:
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks. ICML 2023: 2245-2271 - [i1]Louis Béthune, Paul Novello, Thibaut Boissin, Guillaume Coiffier, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis:
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks. CoRR abs/2303.01978 (2023) - 2020
- [c8]Michelle Aubrun, Andres Troya-Galvis, Mohanad Albughdadi, Romain Hugues, Marc Spigai:
Unsupervised Learning of Robust Representations for Change Detection on Sentinel-2 Earth Observation Images. ISESS 2020: 1-6
2010 – 2019
- 2018
- [j4]Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
:
Remote sensing image analysis by aggregation of segmentation-classification collaborative agents. Pattern Recognit. 73: 259-274 (2018) - 2017
- [j3]Jérémie Sublime
Multi-Scale Analysis of Very High Resolution Satellite Images Using Unsupervised Techniques. Remote. Sens. 9(5): 495 (2017) - [j2]Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille:
Interactions segmentation-classification dans un cadre multi-paradigme pour l'analyse d'images de télédétection. Rev. d'Intelligence Artif. 31(1-2): 133-152 (2017) - [c7]Andrés Troya-Galvis, Pierre Gançarski, Isabelle Mougenot, Laure Berti-Équille:
Sur l'évaluation et l'élaboration d'un jeu de données de référence de bonne qualité en télédétection. EGC 2017: 393-398 - 2016
- [c6]Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille:
A Collaborative Framework for Joint Segmentation and Classification of Remote Sensing Images. EGC (best of volume) 2016: 127-145 - [c5]Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille:
Un cadre collaboratif pour la segmentation et la classification d'images de télédétection. EGC 2016: 297-308 - [c4]Andres Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
Collaborative segmentation and classification for remote sensing image analysis. ICPR 2016: 829-834 - 2015
- [j1]Andres Troya-Galvis, Pierre Gançarski, Nicolas Passat, Laure Berti-Équille
Unsupervised Quantification of Under- and Over-Segmentation for Object-Based Remote Sensing Image Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(5): 1936-1945 (2015) - [c3]Jérémie Sublime
Semantic rich ICM algorithm for VHR satellite images segmentation. MVA 2015: 45-48 - [c2]Nistor Grozavu, Nicoleta Rogovschi, Guénaël Cabanes
VHR satellite image segmentation based on topological unsupervised learning. MVA 2015: 543-546 - 2013
- [c1]Éric Leclercq
Investigating a multi-paradigm system for the management of archaeological data: Corpus Lapidum Burgundiae. Digital Heritage (1) 2013: 679-682
Coauthor Index
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