| Segmentation of building facades using procedural shape priors O Teboul, L Simon, P Koutsourakis, N Paragios Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010 | 179 | 2010 |
| Shape grammar parsing via reinforcement learning O Teboul, I Kokkinos, L Simon, P Koutsourakis, N Paragios Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011 | 136 | 2011 |
| Single view reconstruction using shape grammars for urban environments P Koutsourakis, L Simon, O Teboul, G Tziritas, N Paragios 2009 IEEE 12th international conference on computer vision, 1795-1802, 2009 | 98 | 2009 |
| Parsing facades with shape grammars and reinforcement learning O Teboul, I Kokkinos, L Simon, P Koutsourakis, N Paragios IEEE transactions on pattern analysis and machine intelligence 35 (7), 1744-1756, 2013 | 64 | 2013 |
| Photorealistic Face de-Identification by Aggregating Donors’ Face Components S Mosaddegh, L Simon, F Jurie Asian Conference on Computer Vision, 159-174, 2014 | 38 | 2014 |
| Random exploration of the procedural space for single-view 3D modeling of buildings L Simon, O Teboul, P Koutsourakis, N Paragios International journal of computer vision 93 (2), 253-271, 2011 | 35 | 2011 |
| Parameter-free/pareto-driven procedural 3d reconstruction of buildings from ground-level sequences L Simon, O Teboul, P Koutsourakis, L Van Gool, N Paragios 2012 IEEE Conference on Computer Vision and Pattern Recognition, 518-525, 2012 | 28 | 2012 |
| Viewpoint invariant 3D landmark model inference from monocular 2D images using higher-order priors C Wang, Y Zeng, L Simon, I Kakadiaris, D Samaras, N Paragios 2011 International Conference on Computer Vision, 319-326, 2011 | 20 | 2011 |
| Detecting overfitting of deep generative networks via latent recovery R Webster, J Rabin, L Simon, F Jurie Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 19 | 2019 |
| Deep multi-scale architectures for monocular depth estimation M Moukari, S Picard, L Simoni, F Jurie 2018 25th IEEE International Conference on Image Processing (ICIP), 2940-2944, 2018 | 10 | 2018 |
| An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks MK Nski, L Simon, F Jurie NIPS2017, 2017 | 9* | 2017 |
| Revisiting precision recall definition for generative modeling L Simon, R Webster, J Rabin International Conference on Machine Learning, 5799-5808, 2019 | 7* | 2019 |
| Influence of Unknown Exterior Samples on Interpolated Values for Band-Limited Images L Simon, JM Morel SIAM Journal on Imaging Sciences 9 (1), 152-184, 2016 | 5 | 2016 |
| Pose-invariant 3d proximal femur estimation through bi-planar image segmentation with hierarchical higher-order graph-based priors C Wang, H Boussaid, L Simon, JY Lazennec, N Paragios International Conference on Medical Image Computing and Computer-Assisted …, 2011 | 4 | 2011 |
| Information Theoretic Rotationwise Robust Binary Descriptor Learning Y El Rhabi, L Simon, L Brun, JL Canet, F Lumbreras Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2016 | 1 | 2016 |
| Estimation de la pose d'une caméra à partir d'un flux vidéo en s' approchant du temps réel Y El Rhabi, L Simon, L Brun | 1 | 2015 |
| Procedural reconstruction of buildings: towards large scale automatic 3D modeling of urban environments L Simon Châtenay-Malabry, Ecole centrale de Paris, 2011 | 1 | 2011 |
| A Study Of Alignment Mechanisms In Adversarial Domain Adaptation R Siry, L Simon, F Jurie 2020 IEEE International Conference on Image Processing (ICIP), 1816-1820, 2020 | | 2020 |
| Equivalence of several curves assessing the similarity between probability distributions L Simon, J Rabin, R Webster arXiv preprint arXiv:2006.11809, 2020 | | 2020 |
| n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error M Moukari, L Simon, S Picard, F Jurie arXiv preprint arXiv:1908.07253, 2019 | | 2019 |
Nikos ParagiosProfessor, CentraleSupelec (Ecole Centrale Paris) / Université Paris-Saclay / InriaVerified email at ecp.fr
