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2020 – today
- 2024
[c18]Guillaume Jeanneret, Loïc Simon, Frédéric Jurie:
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach. WACV 2024: 4745-4755- [i14]Benjamin Sykes, Loïc Simon, Julien Rabin:
Unifying and extending Precision Recall metrics for assessing generative models. CoRR abs/2405.01611 (2024) - 2023
- [j6]Rodrigue Siry
, Louis Hémadou, Loïc Simon, Frédéric Jurie:
On the inductive biases of deep domain adaptation. Comput. Vis. Image Underst. 233: 103714 (2023) - [j5]Jalal Fadili, Abderrahim El Moataz, Loïc Simon, Julien Rabin, Yvain Quéau:
Guest Editorial JMIV Special Issue SSVM'21. J. Math. Imaging Vis. 65(1): 1-3 (2023) - [j4]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: 185:1-185:34 (2023) - [c17]Guillaume Jeanneret, Loïc Simon, Frédéric Jurie:
Adversarial Counterfactual Visual Explanations. CVPR 2023: 16425-16435 - [i13]Guillaume Jeanneret, Loïc Simon, Frédéric Jurie:
Adversarial Counterfactual Visual Explanations. CoRR abs/2303.09962 (2023) - [i12]Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie:
On the De-duplication of LAION-2B. CoRR abs/2303.12733 (2023) - [i11]Guillaume Jeanneret, Loïc Simon, Frédéric Jurie:
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach. CoRR abs/2309.07944 (2023) - 2022
- [c16]Guillaume Jeanneret, Loïc Simon, Frédéric Jurie:
Diffusion Models for Counterfactual Explanations. ACCV (7) 2022: 219-237 - [c15]Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie:
Width-Wise Parameter Sharing for Multi-Domain Gan Learning. ICIP 2022: 4163-4167 - [i10]Guillaume Jeanneret, Loïc Simon, Frédéric Jurie:
Diffusion Models for Counterfactual Explanations. CoRR abs/2203.15636 (2022) - 2021
- [e1]Abderrahim Elmoataz, Jalal Fadili, Yvain Quéau, Julien Rabin, Loïc Simon:
Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Virtual Event, May 16-20, 2021, Proceedings. Lecture Notes in Computer Science 12679, Springer 2021, ISBN 978-3-030-75548-5 [contents] - [i9]Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie:
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces. CoRR abs/2107.06018 (2021) - [i8]Dennis Conway, Loïc Simon, Alexis Lechervy, Frédéric Jurie:
Training face verification models from generated face identity data. CoRR abs/2108.00800 (2021) - [i7]Rodrigue Siry, Louis Hémadou, Loïc Simon, Frédéric Jurie:
On the inductive biases of deep domain adaptation. CoRR abs/2109.07920 (2021) - 2020
- [c14]Rodrigue Siry, Loïc Simon, Frédéric Jurie:
A Study Of Alignment Mechanisms In Adversarial Domain Adaptation. ICIP 2020: 1816-1820 - [c13]Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie:
Generating Private Data Surrogates for Vision Related Tasks. ICPR 2020: 263-269 - [i6]Loïc Simon, Julien Rabin, Ryan Webster:
Equivalence of several curves assessing the similarity between probability distributions. CoRR abs/2006.11809 (2020)
2010 – 2019
- 2019
- [c12]Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie:
Detecting Overfitting of Deep Generative Networks via Latent Recovery. CVPR 2019: 11273-11282 - [c11]Loïc Simon, Ryan Webster, Julien Rabin:
Revisiting precision recall definition for generative modeling. ICML 2019: 5799-5808 - [c10]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: 5250-5255 - [i5]Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie:
Detecting Overfitting of Deep Generative Networks via Latent Recovery. CoRR abs/1901.03396 (2019) - [i4]Loïc Simon, Ryan Webster, Julien Rabin:
Revisiting Precision and Recall Definition for Generative Model Evaluation. CoRR abs/1905.05441 (2019) - [i3]Michel Moukari, Loïc Simon, Sylvaine Picard, Frédéric Jurie:
n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error. CoRR abs/1908.07253 (2019) - 2018
- [c9]Michel Moukari, Sylvaine Picard, Loïc Simon, Frédéric Jurie:
Deep Multi-Scale Architectures for Monocular Depth Estimation. ICIP 2018: 2940-2944 - [i2]Michel Moukari, Sylvaine Picard, Loïc Simon, Frédéric Jurie:
Deep multi-scale architectures for monocular depth estimation. CoRR abs/1806.03051 (2018) - 2017
- [i1]Mateusz Kozinski, Loïc Simon, Frédéric Jurie:
An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks. CoRR abs/1702.02382 (2017) - 2016
- [j3]Loïc Simon, Jean-Michel Morel:
Influence of Unknown Exterior Samples on Interpolated Values for Band-Limited Images. SIAM J. Imaging Sci. 9(1): 152-184 (2016) - [c8]Youssef El Rhabi, Loïc Simon, Luc Brun, Josep Lladós Canet, Felipe Lumbreras:
Information Theoretic Rotationwise Robust Binary Descriptor Learning. S+SSPR 2016: 368-378 - 2014
- [c7]Saleh Mosaddegh, Loïc Simon, Frédéric Jurie:
Photorealistic Face De-Identification by Aggregating Donors' Face Components. ACCV (3) 2014: 159-174 - 2013
- [j2]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): 1744-1756 (2013) - 2012
- [c6]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: 518-525 - 2011
- [b1]Loïc Simon:
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). École Centrale Paris, Châtenay-Malabry, France, 2011 - [j1]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): 253-271 (2011) - [c5]Olivier Teboul, Iasonas Kokkinos, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios:
Shape grammar parsing via Reinforcement Learning. CVPR 2011: 2273-2280 - [c4]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: 319-326 - [c3]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: 346-353 - 2010
- [c2]Olivier Teboul, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios:
Segmentation of building facades using procedural shape priors. CVPR 2010: 3105-3112
2000 – 2009
- 2009
- [c1]Panagiotis Koutsourakis, Loïc Simon, Olivier Teboul, Georgios Tziritas, Nikos Paragios:
Single view reconstruction using shape grammars for urban environments. ICCV 2009: 1795-1802
Coauthor Index
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