Weakly Supervised Object Detection in Artworks. - Nicolas Gonthier; Yann Gousseau; Saïd Ladjal; Olivier Bonfait (ECCV Workshops (2), 2018)

An Analysis of the Transfer Learning of Convolutional Neural Networks for Artistic Images. - Nicolas Gonthier; Yann Gousseau; Saïd Ladjal (ICPR Workshops (3), 2020)

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 (2021)

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)

High-Resolution Neural Texture Synthesis with Long-Range Constraints. - Nicolas Gonthier; Yann Gousseau; Saïd Ladjal (J. Math. Imaging Vis., 2022)

GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates. - Valerio Marsocci; Nicolas Gonthier; Anatol Garioud; Simone Scardapane; Clément Mallet (CVPR Workshops, 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 (NeurIPS, 2023)

The Learnable Typewriter: A Generative Approach to Text Line Analysis. - Ioannis Siglidis; Nicolas Gonthier; Julien Gaubil; Tom Monnier; Mathieu Aubry (CoRR, 2023)

StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation. - Sidi Wu; Yizi Chen; Samuel Mermet; Lorenz Hurni; Konrad Schindler; Nicolas Gonthier; Loïc Landrieu (CVPR, 2024)

OmniSat: Self-supervised Modality Fusion for Earth Observation. - Guillaume Astruc; Nicolas Gonthier; Clément Mallet; Loïc Landrieu (ECCV (28), 2024)

The Learnable Typewriter: A Generative Approach to Text Analysis. - Ioannis Siglidis; Nicolas Gonthier; Julien Gaubil; Tom Monnier; Mathieu Aubry (ICDAR (2), 2024)

AnySat: An Earth Observation Model for Any Resolutions, Scales, and Modalities. - Guillaume Astruc; Nicolas Gonthier; Clément Mallet; Loïc Landrieu (CoRR, 2024)

Dataset for the paper: "StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation", CVPR 2024. - Sidi Wu; Yizi Chen; Samuel Mermet; Lorenz Hurni; Konrad Schindler; Nicolas Gonthier; Loïc Landrieu (Zenodo, 2024)

AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities. - Guillaume Astruc; Nicolas Gonthier; Clément Mallet; Loïc Landrieu (CVPR, 2025)

The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generationf. - Yanis Benidir; Nicolas Gonthier; Clément Mallet (CVPR, 2025)

No Annotations for Object Detection in Art Through Stable Diffusion. - Patrick Ramos; Nicolas Gonthier; Selina Khan; Yuta Nakashima; Noa Garcia (WACV, 2025)

Operational Change Detection for Geographical Information: Overview and Challenges. - Nicolas Gonthier (CoRR, 2025)

The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generation. - Yanis Benidir; Nicolas Gonthier; Clément Mallet (CoRR, 2025)

FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping. - Anatol Garioud; Sébastien Giordano; Nicolas David; Nicolas Gonthier (CoRR, 2025)