nicolas_photo

Nicolas Girard

Address:
INRIA Sophia Antipolis
2004 Route des Lucioles
06902 Sophia Antipolis, France

Office Y206, Byron building
E-mail : nicolas.girard (at) inria.fr
GitHub : Lydorn
CV : link



About me

I am a PhD student at Inria Sophia-Antipolis since Nov 2017 in the TITANE team under the supervision of Dr. Yuliya Tarabalka as part of the EPITOME project . I have a Master of Science ("Diplôme d'Ingénieur" in French) from the French engineering school "École nationale supérieure des Mines de Saint-Etienne" as well as a Master of Science in Mathematical Imaging and Spatial Pattern Analysis.

Research interests

My research focuses on deep learning approaches to structure satellite images on a large scale. We aim to predict a vector image representation of the earth from satellite bitmap images.

Publications

teaser
Regularized Building Segmentation by Frame Field Learning
Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Waikoloa, Hawaii, 2020
[video, paper (extended version), bibtex, code]
teaser
Input similarity from the neural network perspective
Guillaume Charpiat, Nicolas Girard, Loris Felardos, Yuliya Tarabalka
Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2019
[paper, supplementary materials, bibtex, code]
teaser
ClusterNet: Unsupervised Generic Feature Learning for Fast Interactive Satellite Image Segmentation
Nicolas Girard, Andrii Zhygallo, Yuliya Tarabalka
Image and Signal Processing for Remote Sensing (SPIE), Strasbourg, France, 2019
[slides, paper, bibtex, code]
teaser
Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data
Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Yokohama, Japan, 2019
[slides, paper, bibtex, code]
teaser
Aligning and Updating Cadaster Maps with Aerial Images by Multi-Task, Multi-Resolution Deep Learning
Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka
The Asian Conference on Computer Vision (ACCV), Perth, Australia, 2018
[paper, supplementary materials, bibtex, code]
teaser
Multimodal image alignment through a multiscale chain of neural networks with application to remote sensing
Armand Zampieri, Guillaume Charpiat, Nicolas Girard, Yuliya Tarabalka
The European Conference on Computer Vision (ECCV), Munich, Germany, 2018
[paper, bibtex]
teaser
End-to-End Learning of Polygons for Remote Sensing Image Classification
Nicolas Girard, Yuliya Tarabalka
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, 2018
[slides, paper, bibtex, code]