A. Courtial

New 3d segmentation approach for reverse engineering selective sampling acquisition

Enrico Vezzetti, A. Courtial, E. Vezzetti, 2008 .

Deriving map images of generalised mountain roads with generative adversarial networks

X. Zhang, G. Touya, A. Courtial, 2022, Int. J. Geogr. Inf. Sci..

Constraint-Based Evaluation of Map Images Generalized by Deep Learning

G. Touya, A. Courtial, X. Zhang, 2022, Journal of Geovisualization and Spatial Analysis.

Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation

Guillaume Touya, Xiang Zhang, Azelle Courtial, 2020, ISPRS Int. J. Geo Inf..

INFERRING THE SCALE AND CONTENT OF A MAP USING DEEP LEARNING

G. Touya, F. Brisebard, F. Quinton, 2020, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

AlpineBends – A Benchmark for Deep Learning-Based Generalisation

X. Zhang, G. Touya, A. Courtial, 2022, Abstracts of the ICA.

Can Graph Convolution Networks Learn Spatial Relations?

G. Touya, A. Courtial, Xiang Zhang, 2021, Abstracts of the ICA.

Constraint Based Evaluation of Generalized Images Generated by Deep Learning

Xiang Zhang, Guillaume Touya, Azelle Courtial, 2020 .

GENERATIVE ADVERSARIAL NETWORKS TO GENERALISE URBAN AREAS IN TOPOGRAPHIC MAPS

G. Touya, A. Courtial, X. Zhang, 2021, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.