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2020 – today
- 2025
[c8]Patrick Ramos, Nicolas Gonthier, Selina Khan, Yuta Nakashima, Noa Garcia:
No Annotations for Object Detection in Art Through Stable Diffusion. WACV 2025: 6228-6237- [i13]Nicolas Gonthier:
Operational Change Detection for Geographical Information: Overview and Challenges. CoRR abs/2503.14109 (2025) - [i12]Yanis Benidir, Nicolas Gonthier, Clément Mallet:
The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generation. CoRR abs/2503.15683 (2025) - 2024
- [c7]Sidi Wu, Yizi Chen, Samuel Mermet, Lorenz Hurni, Konrad Schindler, Nicolas Gonthier, Loïc Landrieu:
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation. CVPR 2024: 7922-7931 - [c6]Guillaume Astruc
, Nicolas Gonthier, Clément Mallet, Loïc Landrieu:
OmniSat: Self-supervised Modality Fusion for Earth Observation. ECCV (28) 2024: 409-427 - [c5]Ioannis Siglidis, Nicolas Gonthier, Julien Gaubil, Tom Monnier, Mathieu Aubry:
The Learnable Typewriter: A Generative Approach to Text Analysis. ICDAR (2) 2024: 297-314 - [d1]Sidi Wu, Yizi Chen, Samuel Mermet, Lorenz Hurni, Konrad Schindler, Nicolas Gonthier, Loïc Landrieu:
Dataset for the paper: "StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation", CVPR 2024. Zenodo, 2024
- [i11]Sidi Wu, Yizi Chen, Samuel Mermet, Lorenz Hurni, Konrad Schindler, Nicolas Gonthier, Loïc Landrieu:
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation. CoRR abs/2403.20142 (2024) - [i10]Guillaume Astruc, Nicolas Gonthier, Clément Mallet, Loïc Landrieu:
OmniSat: Self-Supervised Modality Fusion for Earth Observation. CoRR abs/2404.08351 (2024) - [i9]Patrick Ramos, Nicolas Gonthier, Selina Khan, Yuta Nakashima, Noa Garcia:
No Annotations for Object Detection in Art through Stable Diffusion. CoRR abs/2412.06286 (2024) - [i8]Guillaume Astruc, Nicolas Gonthier, Clément Mallet, Loïc Landrieu:
AnySat: An Earth Observation Model for Any Resolutions, Scales, and Modalities. CoRR abs/2412.14123 (2024) - 2023
- [c4]Valerio Marsocci, Nicolas Gonthier, Anatol Garioud, Simone Scardapane, Clément Mallet:
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates. CVPR Workshops 2023: 2075-2085 - [c3]Anatol Garioud, Nicolas Gonthier, Loïc Landrieu, Apolline De Wit, Marion Valette, Marc Poupée, Sébastien Giordano, Boris Wattrelos:
FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery. NeurIPS 2023 - [i7]Ioannis Siglidis, Nicolas Gonthier, Julien Gaubil, Tom Monnier, Mathieu Aubry:
The Learnable Typewriter: A Generative Approach to Text Line Analysis. CoRR abs/2302.01660 (2023) - [i6]Valerio Marsocci, Nicolas Gonthier, Anatol Garioud, Simone Scardapane, Clément Mallet:
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates. CoRR abs/2304.07750 (2023) - [i5]Anatol Garioud, Nicolas Gonthier, Loïc Landrieu, Apolline De Wit, Marion Valette, Marc Poupée, Sébastien Giordano, Boris Wattrelos:
FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery. CoRR abs/2310.13336 (2023) - 2022
- [j2]Nicolas Gonthier, Saïd Ladjal, Yann Gousseau:
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts. Comput. Vis. Image Underst. 214: 103299 (2022) - [j1]Nicolas Gonthier, Yann Gousseau, Saïd Ladjal:
High-Resolution Neural Texture Synthesis with Long-Range Constraints. J. Math. Imaging Vis. 64(5): 478-492 (2022) - 2021
- [b1]Nicolas Gonthier:
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). University of Paris-Saclay, France, 2021 - 2020
- [c2]Nicolas Gonthier, Yann Gousseau, Saïd Ladjal:
An Analysis of the Transfer Learning of Convolutional Neural Networks for Artistic Images. ICPR Workshops (3) 2020: 546-561 - [i4]Nicolas Gonthier, Saïd Ladjal, Yann Gousseau:
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts. CoRR abs/2008.01178 (2020) - [i3]Nicolas Gonthier, Yann Gousseau, Saïd Ladjal:
High resolution neural texture synthesis with long range constraints. CoRR abs/2008.01808 (2020) - [i2]Nicolas Gonthier, Yann Gousseau, Saïd Ladjal:
An analysis of the transfer learning of convolutional neural networks for artistic images. CoRR abs/2011.02727 (2020)
2010 – 2019
- 2018
- [c1]Nicolas Gonthier, Yann Gousseau, Saïd Ladjal, Olivier Bonfait:
Weakly Supervised Object Detection in Artworks. ECCV Workshops (2) 2018: 692-709 - [i1]Nicolas Gonthier, Yann Gousseau, Saïd Ladjal, Olivier Bonfait:
Weakly Supervised Object Detection in Artworks. CoRR abs/1810.02569 (2018)
Coauthor Index
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