Single view reconstruction using shape grammars for urban environments. - Panagiotis Koutsourakis; Loïc Simon; Olivier Teboul; Georgios Tziritas; Nikos Paragios (ICCV, 2009)

Segmentation of building facades using procedural shape priors. - Olivier Teboul; Loïc Simon; Panagiotis Koutsourakis; Nikos Paragios (CVPR, 2010)

Shape grammar parsing via Reinforcement Learning. - Olivier Teboul; Iasonas Kokkinos; Loïc Simon; Panagiotis Koutsourakis; Nikos Paragios (CVPR, 2011)

Viewpoint invariant 3D landmark model inference from monocular 2D images using higher-order priors. - Chaohui Wang; Yun Zeng; Loïc Simon; Ioannis A. Kakadiaris; Dimitris Samaras; Nikos Paragios (ICCV, 2011)

Pose-Invariant 3D Proximal Femur Estimation through Bi-planar Image Segmentation with Hierarchical Higher-Order Graph-Based Priors. - Chaohui Wang; Haithem Boussaid; Loïc Simon; Jean-Yves Lazennec; Nikos Paragios (MICCAI (3), 2011)

Random Exploration of the Procedural Space for Single-View 3D Modeling of Buildings. - Loïc Simon; Olivier Teboul; Panagiotis Koutsourakis; Nikos Paragios (Int. J. Comput. Vis., 2011)

Procedural reconstruction of buildings : towards large scale automatic 3D modeling of urban environments. (Reconstruction procédurale de bâtiments : vers l'automatisation à grande échelle de la modélisation 3D d'environnements urbains). - Loïc Simon (2011)

Parameter-free/Pareto-driven procedural 3D reconstruction of buildings from ground-level sequences. - Loïc Simon; Olivier Teboul; Panagiotis Koutsourakis; Luc Van Gool; Nikos Paragios (CVPR, 2012)

Parsing Facades with Shape Grammars and Reinforcement Learning. - Olivier Teboul; Iasonas Kokkinos; Loïc Simon; Panagiotis Koutsourakis; Nikos Paragios (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Photorealistic Face De-Identification by Aggregating Donors' Face Components. - Saleh Mosaddegh; Loïc Simon; Frédéric Jurie (ACCV (3), 2014)

Information Theoretic Rotationwise Robust Binary Descriptor Learning. - Youssef El Rhabi; Loïc Simon; Luc Brun; Josep Lladós Canet; Felipe Lumbreras (S+SSPR, 2016)

Influence of Unknown Exterior Samples on Interpolated Values for Band-Limited Images. - Loïc Simon; Jean-Michel Morel (SIAM J. Imaging Sci., 2016)

An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks. - Mateusz Kozinski; Loïc Simon; Frédéric Jurie (CoRR, 2017)

Deep Multi-Scale Architectures for Monocular Depth Estimation. - Michel Moukari; Sylvaine Picard; Loïc Simon; Frédéric Jurie (ICIP, 2018)

Detecting Overfitting of Deep Generative Networks via Latent Recovery. - Ryan Webster; Julien Rabin; Loïc Simon; Frédéric Jurie (CVPR, 2019)

Revisiting precision recall definition for generative modeling. - Loïc Simon; Ryan Webster; Julien Rabin (ICML, 2019)

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error. - Michel Moukari; Loïc Simon; Sylvaine Picard; Frédéric Jurie (IROS, 2019)

Revisiting Precision and Recall Definition for Generative Model Evaluation. - Loïc Simon; Ryan Webster; Julien Rabin (CoRR, 2019)

A Study Of Alignment Mechanisms In Adversarial Domain Adaptation. - Rodrigue Siry; Loïc Simon; Frédéric Jurie (ICIP, 2020)

Generating Private Data Surrogates for Vision Related Tasks. - Ryan Webster; Julien Rabin; Loïc Simon; Frédéric Jurie (ICPR, 2020)

Equivalence of several curves assessing the similarity between probability distributions. - Loïc Simon; Julien Rabin; Ryan Webster (CoRR, 2020)

This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces. - Ryan Webster; Julien Rabin; Loïc Simon; Frédéric Jurie (CoRR, 2021)

Training face verification models from generated face identity data. - Dennis Conway; Loïc Simon; Alexis Lechervy; Frédéric Jurie (CoRR, 2021)

Width-Wise Parameter Sharing for Multi-Domain Gan Learning. - Ryan Webster; Julien Rabin; Loïc Simon; Frédéric Jurie (ICIP, 2022)

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

On the De-duplication of LAION-2B. - Ryan Webster; Julien Rabin; Loïc Simon; Frédéric Jurie (CoRR, 2023)

On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity. - Rodrigue Siry; Ryan Webster; Loïc Simon; Julien Rabin (J. Mach. Learn. Res., 2023)

Guest Editorial JMIV Special Issue SSVM'21. - Jalal Fadili; Abderrahim El Moataz; Loïc Simon; Julien Rabin; Yvain Quéau (J. Math. Imaging Vis., 2023)

On the inductive biases of deep domain adaptation. - Rodrigue Siry; Louis Hémadou; Loïc Simon; Frédéric Jurie (Comput. Vis. Image Underst., 2023)

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

Unifying and extending Precision Recall metrics for assessing generative models. - Benjamin Sykes; Loïc Simon; Julien Rabin (CoRR, 2024)

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

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