Nicolas Girard

According to our database1, Nicolas Girard authored at least 11 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Brightearth City Texturing : Faithful Procedural 3d Urban Modeling From Satellite and Ground Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2021
Polygonal Building Extraction by Frame Field Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning and Geometric Approaches for Automatic Extraction of Objects from Remote Sensing Images. (Approches d'Apprentissage et Géométrique pour l'Extraction Automatique d'Objets à partir d'Images de Télédétection).
PhD thesis, 2020

Polygonal Building Segmentation by Frame Field Learning.
CoRR, 2020

Regularized Building Segmentation by Frame Field Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Input Similarity from the Neural Network Perspective.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
End-to-End Learning of Polygons for Remote Sensing Image Classification.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

A New Gesture Control for Zooming on Tablets and Smartphones for Visually Impaired People.
Proceedings of the Computers Helping People with Special Needs, 2018

Multimodal Image Alignment Through a Multiscale Chain of Neural Networks with Application to Remote Sensing.
Proceedings of the Computer Vision - ECCV 2018, 2018

Aligning and Updating Cadaster Maps with Aerial Images by Multi-task, Multi-resolution Deep Learning.
Proceedings of the Computer Vision - ACCV 2018, 2018


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