Loïc Simon

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 29

Top Venues

CoRR

ICIP

CVPR

SIAM J. Imaging Sci.

École Centrale Paris, Châtenay-Malabry, France (PHD)

Education History

École Centrale Paris, Châtenay-Malabry, France

PHD

Publications

Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach. WACV (2024)
Benjamin Sykes, Loïc Simon, Julien Rabin
Unifying and extending Precision Recall metrics for assessing generative models. CoRR (2024)
Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
Adversarial Counterfactual Visual Explanations. CoRR (2023)
Rodrigue Siry, Ryan Webster, Loïc Simon, Julien Rabin
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity. J. Mach. Learn. Res. 24 (2023)
Rodrigue Siry, Louis Hémadou, Loïc Simon, Frédéric Jurie
On the inductive biases of deep domain adaptation. Comput. Vis. Image Underst. 233 (2023)
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
On the De-duplication of LAION-2B. CoRR (2023)
Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach. CoRR (2023)
Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
Adversarial Counterfactual Visual Explanations. CVPR (2023)
Jalal Fadili, Abderrahim El Moataz, Loïc Simon, Julien Rabin, Yvain Quéau
Guest Editorial JMIV Special Issue SSVM'21. J. Math. Imaging Vis. 65 (1) (2023)
Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
Diffusion Models for Counterfactual Explanations. ACCV (7) (2022)
Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
Diffusion Models for Counterfactual Explanations. CoRR (2022)
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
Width-Wise Parameter Sharing for Multi-Domain Gan Learning. ICIP (2022)
Rodrigue Siry, Louis Hémadou, Loïc Simon, Frédéric Jurie
On the inductive biases of deep domain adaptation. CoRR (2021)
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces. CoRR (2021)
Dennis Conway, Loïc Simon, Alexis Lechervy, Frédéric Jurie
Training face verification models from generated face identity data. CoRR (2021)
Loïc Simon, Julien Rabin, Ryan Webster
Equivalence of several curves assessing the similarity between probability distributions. CoRR (2020)
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
Generating Private Data Surrogates for Vision Related Tasks. ICPR (2020)
Rodrigue Siry, Loïc Simon, Frédéric Jurie
A Study Of Alignment Mechanisms In Adversarial Domain Adaptation. ICIP (2020)
Loïc Simon, Ryan Webster, Julien Rabin
Revisiting Precision and Recall Definition for Generative Model Evaluation. CoRR (2019)
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
Detecting Overfitting of Deep Generative Networks via Latent Recovery. CoRR (2019)
Michel Moukari, Loïc Simon, Sylvaine Picard, Frédéric Jurie
n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error. IROS (2019)
Michel Moukari, Loïc Simon, Sylvaine Picard, Frédéric Jurie
n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error. CoRR (2019)
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
Detecting Overfitting of Deep Generative Networks via Latent Recovery. CVPR (2019)
Loïc Simon, Ryan Webster, Julien Rabin
Revisiting precision recall definition for generative modeling. ICML (2019)
Michel Moukari, Sylvaine Picard, Loïc Simon, Frédéric Jurie
Deep Multi-Scale Architectures for Monocular Depth Estimation. ICIP (2018)
Michel Moukari, Sylvaine Picard, Loïc Simon, Frédéric Jurie
Deep multi-scale architectures for monocular depth estimation. CoRR (2018)
Mateusz Kozinski, Loïc Simon, Frédéric Jurie
An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks. CoRR (2017)
Loïc Simon, Jean-Michel Morel
Influence of Unknown Exterior Samples on Interpolated Values for Band-Limited Images. SIAM J. Imaging Sci. 9 (1) (2016)
Youssef El Rhabi, Loïc Simon, Luc Brun, Josep Lladós Canet, Felipe Lumbreras
Information Theoretic Rotationwise Robust Binary Descriptor Learning. S+SSPR (2016)
Saleh Mosaddegh, Loïc Simon, Frédéric Jurie
Photorealistic Face De-Identification by Aggregating Donors' Face Components. ACCV (3) (2014)
Olivier Teboul, Iasonas Kokkinos, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios
Parsing Facades with Shape Grammars and Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 35 (7) (2013)
Loïc Simon, Olivier Teboul, Panagiotis Koutsourakis, Luc Van Gool, Nikos Paragios
Parameter-free/Pareto-driven procedural 3D reconstruction of buildings from ground-level sequences. CVPR (2012)
Chaohui Wang, Haithem Boussaid, Loïc Simon, Jean-Yves Lazennec, Nikos Paragios
Pose-Invariant 3D Proximal Femur Estimation through Bi-planar Image Segmentation with Hierarchical Higher-Order Graph-Based Priors. MICCAI (3) (2011)
Olivier Teboul, Iasonas Kokkinos, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios
Shape grammar parsing via Reinforcement Learning. CVPR (2011)
Loïc Simon, Olivier Teboul, Panagiotis Koutsourakis, Nikos Paragios
Random Exploration of the Procedural Space for Single-View 3D Modeling of Buildings. Int. J. Comput. Vis. 93 (2) (2011)
Chaohui Wang, Yun Zeng, Loïc Simon, Ioannis A. Kakadiaris, Dimitris Samaras, Nikos Paragios
Viewpoint invariant 3D landmark model inference from monocular 2D images using higher-order priors. ICCV (2011)
Olivier Teboul, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios
Segmentation of building facades using procedural shape priors. CVPR (2010)
Panagiotis Koutsourakis, Loïc Simon, Olivier Teboul, Georgios Tziritas, Nikos Paragios
Single view reconstruction using shape grammars for urban environments. ICCV (2009)

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Publication Activity (10 Years)

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Loïc Simon