Robust Gabor Networks. - Juan C. Pérez; Motasem Alfarra; Guillaume Jeanneret; Adel Bibi; Ali K. Thabet; Bernard Ghanem; Pablo Arbeláez (CoRR, 2019)

Gabor Layers Enhance Network Robustness. - Juan C. Pérez; Motasem Alfarra; Guillaume Jeanneret; Adel Bibi; Ali K. Thabet; Bernard Ghanem; Pablo Arbeláez (ECCV (9), 2020)

A Hierarchical Assessment of Adversarial Severity. - Guillaume Jeanneret; Juan C. Pérez; Pablo Arbeláez (ICCVW, 2021)

Enhancing Adversarial Robustness via Test-time Transformation Ensembling. - Juan C. Pérez; Motasem Alfarra; Guillaume Jeanneret; Laura Rueda; Ali K. Thabet; Bernard Ghanem; Pablo Arbeláez (ICCVW, 2021)

MAIN: Multi-Attention Instance Network for video segmentation. - Juan León Alcázar; María Alejandra Bravo; Guillaume Jeanneret; Ali K. Thabet; Thomas Brox; Pablo Arbeláez; Bernard Ghanem (Comput. Vis. Image Underst., 2021)

Adversarial Counterfactual Visual Explanations. - Guillaume Jeanneret; Loïc Simon; Frédéric Jurie (CVPR, 2023)

BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis. - Angela Castillo; María Escobar; Guillaume Jeanneret; Albert Pumarola; Pablo Arbeláez; Ali K. Thabet; Artsiom Sanakoyeu (ICCV (Workshops), 2023)

Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach. - Guillaume Jeanneret; Loïc Simon; Frédéric Jurie (WACV, 2024)

Diffusion Models for Counterfactual Explanations. - Guillaume Jeanneret; Loïc Simon; Frédéric Jurie (Comput. Vis. Image Underst., 2024)

Towards Explainable and Interpretable Deep Neural Networks. (Vers des réseaux neuronaux profonds de classification d'images explicables et interprétables). - Guillaume Jeanneret (2024)

Disentangling Visual Transformers: Patch-level Interpretability for Image Classification. - Guillaume Jeanneret; Loïc Simon; Frédéric Jurie (CVPR Workshops, 2025)

OnlyFlow: Optical Flow based Motion Conditioning for Video Diffusion Models. - Mathis Koroglu; Hugo Caselles-Dupré; Guillaume Jeanneret; Matthieu Cord (CVPR Workshops, 2025)