Nicolas Gonthier

According to our database, Nicolas Gonthier authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The Learnable Typewriter: A Generative Approach to Text Analysis.

Ioannis Siglidis, Nicolas Gonthier, Julien Gaubil, Tom Monnier, Mathieu Aubry

Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

OmniSat: Self-supervised Modality Fusion for Earth Observation.

Guillaume Astruc, Nicolas Gonthier, Clément Mallet, Loïc Landrieu

Proceedings of the Computer Vision - ECCV 2024, 2024

StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation.

Sidi Wu, Yizi Chen, Samuel Mermet, Lorenz Hurni, Konrad Schindler, Nicolas Gonthier, Loïc Landrieu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

The Learnable Typewriter: A Generative Approach to Text Line Analysis.

Ioannis Siglidis, Nicolas Gonthier, Julien Gaubil, Tom Monnier, Mathieu Aubry

CoRR, 2023

FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery.

Anatol Garioud, Nicolas Gonthier, Loïc Landrieu, Apolline De Wit, Marion Valette, Marc Poupée, Sébastien Giordano, Boris Wattrelos

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates.

Valerio Marsocci, Nicolas Gonthier, Anatol Garioud, Simone Scardapane, Clément Mallet

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

High-Resolution Neural Texture Synthesis with Long-Range Constraints.

Nicolas Gonthier, Yann Gousseau, Saïd Ladjal

J. Math. Imaging Vis., 2022

Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts.

Nicolas Gonthier, Saïd Ladjal, Yann Gousseau

Comput. Vis. Image Underst., 2022

2021

Transfer learning of convolutional neural networks for texture synthesis and visual recognition in artistic images. (Transfert d'apprentissage de réseaux de neurones à convolution pour la synthèse de texture et la reconnaissance visuelle d'images artistiques).

Nicolas Gonthier

PhD thesis, 2021

2020

An Analysis of the Transfer Learning of Convolutional Neural Networks for Artistic Images.

Nicolas Gonthier, Yann Gousseau, Saïd Ladjal

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2018

Weakly Supervised Object Detection in Artworks.

Nicolas Gonthier, Yann Gousseau, Saïd Ladjal, Olivier Bonfait

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018