Loïc Simon - RankMe

44 papers A* 8A 2B 4Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A New Perspective on Precision and Recall for Generative Models. CoRR Benjamin Sykes, Loïc Simon, Julien Rabin, Jalal Fadili
2025	—	`conf`	Disentangling Visual Transformers: Patch-level Interpretability for Image Classification. CVPR Workshops Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
2025	J	`jnl`	Disentangling Visual Transformers: Patch-level Interpretability for Image Classification. CoRR Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
2024	J	`jnl`	Diffusion Models for Counterfactual Explanations. Comput. Vis. Image Underst. Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
2024	A	`conf`	Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach. WACV Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
2024	J	`jnl`	Unifying and extending Precision Recall metrics for assessing generative models. CoRR Benjamin Sykes, Loïc Simon, Julien Rabin
2023	A*	`conf`	Adversarial Counterfactual Visual Explanations. CVPR Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
2023	J	`jnl`	Adversarial Counterfactual Visual Explanations. CoRR Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
2023	J	`jnl`	Guest Editorial JMIV Special Issue SSVM'21. J. Math. Imaging Vis. Jalal Fadili, Abderrahim El Moataz, Loïc Simon, Julien Rabin, Yvain Quéau
2023	J	`jnl`	On the De-duplication of LAION-2B. CoRR Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
2023	J	`jnl`	On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity. J. Mach. Learn. Res. Rodrigue Siry, Ryan Webster, Loïc Simon, Julien Rabin
2023	J	`jnl`	On the inductive biases of deep domain adaptation. Comput. Vis. Image Underst. Rodrigue Siry, Louis Hémadou, Loïc Simon, Frédéric Jurie
2023	J	`jnl`	Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach. CoRR Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
2022	—	`conf`	Diffusion Models for Counterfactual Explanations. ACCV (7) Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
2022	J	`jnl`	Diffusion Models for Counterfactual Explanations. CoRR Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
2022	B	`conf`	Width-Wise Parameter Sharing for Multi-Domain Gan Learning. ICIP Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
2021	J	`jnl`	On the inductive biases of deep domain adaptation. CoRR Rodrigue Siry, Louis Hémadou, Loïc Simon, Frédéric Jurie
2021	—	`ed.`	Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Virtual Event, May 16-20, 2021, Proceedings SSVM Abderrahim Elmoataz, Jalal Fadili, Yvain Quéau, Julien Rabin, Loïc Simon
2021	J	`jnl`	This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces. CoRR Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
2021	J	`jnl`	Training face verification models from generated face identity data. CoRR Dennis Conway, Loïc Simon, Alexis Lechervy, Frédéric Jurie
2020	B	`conf`	A Study Of Alignment Mechanisms In Adversarial Domain Adaptation. ICIP Rodrigue Siry, Loïc Simon, Frédéric Jurie
2020	J	`jnl`	Equivalence of several curves assessing the similarity between probability distributions. CoRR Loïc Simon, Julien Rabin, Ryan Webster
2020	B	`conf`	Generating Private Data Surrogates for Vision Related Tasks. ICPR Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
2019	A*	`conf`	Detecting Overfitting of Deep Generative Networks via Latent Recovery. CVPR Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
2019	J	`jnl`	Detecting Overfitting of Deep Generative Networks via Latent Recovery. CoRR Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
2019	J	`jnl`	Revisiting Precision and Recall Definition for Generative Model Evaluation. CoRR Loïc Simon, Ryan Webster, Julien Rabin
2019	A*	`conf`	Revisiting precision recall definition for generative modeling. ICML Loïc Simon, Ryan Webster, Julien Rabin
2019	A	`conf`	n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error. IROS Michel Moukari, Loïc Simon, Sylvaine Picard, Frédéric Jurie
2019	J	`jnl`	n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error. CoRR Michel Moukari, Loïc Simon, Sylvaine Picard, Frédéric Jurie
2018	B	`conf`	Deep Multi-Scale Architectures for Monocular Depth Estimation. ICIP Michel Moukari, Sylvaine Picard, Loïc Simon, Frédéric Jurie
2018	J	`jnl`	Deep multi-scale architectures for monocular depth estimation. CoRR Michel Moukari, Sylvaine Picard, Loïc Simon, Frédéric Jurie
2017	J	`jnl`	An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks. CoRR Mateusz Kozinski, Loïc Simon, Frédéric Jurie
2016	J	`jnl`	Influence of Unknown Exterior Samples on Interpolated Values for Band-Limited Images. SIAM J. Imaging Sci. Loïc Simon, Jean-Michel Morel
2016	—	`conf`	Information Theoretic Rotationwise Robust Binary Descriptor Learning. S+SSPR Youssef El Rhabi, Loïc Simon, Luc Brun, Josep Lladós Canet, Felipe Lumbreras
2014	—	`conf`	Photorealistic Face De-Identification by Aggregating Donors' Face Components. ACCV (3) Saleh Mosaddegh, Loïc Simon, Frédéric Jurie
2013	J	`jnl`	Parsing Facades with Shape Grammars and Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Olivier Teboul, Iasonas Kokkinos, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios
2012	A*	`conf`	Parameter-free/Pareto-driven procedural 3D reconstruction of buildings from ground-level sequences. CVPR Loïc Simon, Olivier Teboul, Panagiotis Koutsourakis, Luc Van Gool, Nikos Paragios
2011	—	`conf`	Pose-Invariant 3D Proximal Femur Estimation through Bi-planar Image Segmentation with Hierarchical Higher-Order Graph-Based Priors. MICCAI (3) Chaohui Wang, Haithem Boussaid, Loïc Simon, Jean-Yves Lazennec, Nikos Paragios
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	J	`jnl`	Random Exploration of the Procedural Space for Single-View 3D Modeling of Buildings. Int. J. Comput. Vis. Loïc Simon, Olivier Teboul, Panagiotis Koutsourakis, Nikos Paragios
2011	A*	`conf`	Shape grammar parsing via Reinforcement Learning. CVPR Olivier Teboul, Iasonas Kokkinos, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios
2011	A*	`conf`	Viewpoint invariant 3D landmark model inference from monocular 2D images using higher-order priors. ICCV Chaohui Wang, Yun Zeng, Loïc Simon, Ioannis A. Kakadiaris, Dimitris Samaras, Nikos Paragios
2010	A*	`conf`	Segmentation of building facades using procedural shape priors. CVPR Olivier Teboul, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios
2009	A*	`conf`	Single view reconstruction using shape grammars for urban environments. ICCV Panagiotis Koutsourakis, Loïc Simon, Olivier Teboul, Georgios Tziritas, Nikos Paragios