Reconstructing Image Composition: Computation of Leading Lines
Jing Zhang, Rémi Synave, Samuel Delepoulle, Rémi Cozot. Reconstructing Image Composition: Computation of Leading Lines. Journal of Imaging, 2023, 10 (1), pp.5. ⟨10.3390/jimaging10010005⟩. ⟨hal-04363909⟩
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L’apport de la simulation numérique de l’éclairage pour l’analyse des ombres projetées en peinture. Une application à la Dibutade de Joseph Benoît Suvée (1791)
Sophie Raux, Christophe Renaud, François Rousselle, Samuel Delepoulle. L’apport de la simulation numérique de l’éclairage pour l’analyse des ombres projetées en peinture. Une application à la Dibutade de Joseph Benoît Suvée (1791). Perspective - la revue de l'INHA : actualités de la recherche en histoire de l'art, 2023, Obscurités, 1, pp.173-198. ⟨10.4000/perspective.29536⟩. ⟨hal-04328304⟩
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Méthodes d'apprentissage par renforcement pour espaces continus : les méthodes à gradient de politique et leurs améliorations (TRPO et PPO). v1.01
Franck Vandewiele, Samuel Delepoulle. Méthodes d'apprentissage par renforcement pour espaces continus : les méthodes à gradient de politique et leurs améliorations (TRPO et PPO). v1.01. Laboratoire d'Informatique Signal et Image de la Côte d'Opale. 2023. ⟨hal-04115352⟩
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Congruent action context releases Mu rhythm desynchronization when visual objects activate competing action representations
Yannick Wamain, Marc Godard, Anne-Sophie Puffet, Samuel Delepoulle, Solene Kalenine. Congruent action context releases Mu rhythm desynchronization when visual objects activate competing action representations. Cortex, 2023, Cortex, 161, pp.65-76. ⟨10.1016/j.cortex.2023.01.009⟩. ⟨hal-04012419⟩
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Guided-Generative Network: A New Robust Deep Learning Architecture for Noise Characterization in Monte-Carlo Rendering
Jérôme Buisine, Fabien Teytaud, Samuel Delepoulle, Christophe Renaud. Guided-Generative Network: A New Robust Deep Learning Architecture for Noise Characterization in Monte-Carlo Rendering. Deep Learning Applications, Volume 4, Springer, pp.293-315, 2022, Advances in Intelligent Systems and Computing, book séries (AISC,1434), 9789811961526. ⟨10.1007/978-981-19-6153-3_12⟩. ⟨hal-03875168⟩
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Entre perception et images numériques : une perspective
Samuel Delepoulle. Entre perception et images numériques : une perspective. Informatique [cs]. Université du Littoral - Côte d'Opale, 2022. ⟨tel-04210197⟩
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How competition between action representations affects object perception during development
Marc Godard, Yannick Wamain, Laurent Ott, Samuel Delepoulle, Solene Kalenine. How competition between action representations affects object perception during development. Journal of Cognition and Development, 2022, Journal of Cognition and Development, 23 (3), pp.360-384. ⟨10.1080/15248372.2022.2025808⟩. ⟨hal-03481353v2⟩
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Guided-Generative Network for noise detection in Monte-Carlo rendering
Jérôme Buisine, Fabien Teytaud, Samuel Delepoulle, Christophe Renaud. Guided-Generative Network for noise detection in Monte-Carlo rendering. 20th IEEE International Conference On Machine Learning And Applications, Dec 2021, Pasadena, United States. ⟨hal-03374214⟩
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Firefly removal in Monte Carlo rendering with adaptive Median of meaNs
Jérôme Buisine, Samuel Delepoulle, Christophe Renaud. Firefly removal in Monte Carlo rendering with adaptive Median of meaNs. The 32nd edition of the Eurographics Symposium on Rendering (EGSR) 2021, Jun 2021, Saarbrücken, Germany. pp.121-132, ⟨10.2312/sr.20211296⟩. ⟨hal-03201630v2⟩
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Minimalist And Customisable Optimisation Package
Jérôme Buisine, Samuel Delepoulle, Christophe Renaud. Minimalist And Customisable Optimisation Package. Journal of Open Source Software, 2021, 6 (59), pp.2812. ⟨10.21105/joss.02812⟩. ⟨hal-03168856⟩
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Stopping Criterion during Rendering of Computer-Generated Images Based on SVD-Entropy
Jérôme Buisine, André Bigand, Rémi Synave, Samuel Delepoulle, Christophe Renaud. Stopping Criterion during Rendering of Computer-Generated Images Based on SVD-Entropy. Entropy, 2021. ⟨hal-03100109⟩
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The development of the processing cost entailed by conflicting affordances during object perception
Marc Godard, Yannick Wamain, Samuel Delepoulle, Solène Kalénine. The development of the processing cost entailed by conflicting affordances during object perception. 21st European Society for Cognitive Psychology (ESCOP), Sep 2019, Tenerife, Spain. ⟨hal-03325059⟩
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Perception of noise and global illumination: Toward an automatic stopping criterion based on SVM
Nawel Takouachet, Samuel Delepoulle, Christophe Renaud, Nesrine Zoghlami, João Manuel R.S. Tavares. Perception of noise and global illumination: Toward an automatic stopping criterion based on SVM. Computers and Graphics, 2017, 69, pp.49-58. ⟨10.1016/j.cag.2017.09.008⟩. ⟨hal-03457191⟩
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Contribution of the motor system to the perception of reachable space: an fMRI study
Angela Bartolo, Yann Coello, Martin G. Edwards, Samuel Delepoulle, Satoshi Endo, et al.. Contribution of the motor system to the perception of reachable space: an fMRI study. European Journal of Neuroscience, 2014, 40 (12), pp.3807--3817. ⟨10.1111/ejn.12742⟩. ⟨hal-01214347⟩
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A comparison of two machine learning approaches for Photometric Solids Compression
Delepoulle Samuel, François Rouselle, Renaud Christophe, Philippe Preux. A comparison of two machine learning approaches for Photometric Solids Compression. Plemenos, Dimitri; Miaoulis, Georgios. Intelligent Computer Graphics, 321, Springer, pp.145-164, 2010, Studies in Computational Intelligence. ⟨hal-00826051⟩
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ECON: a Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approximation
Loth Manuel, Preux Philippe, Delepoulle Samuel, Renaud Christophe. ECON: a Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approximation. International Conference on Machine Learning and Applications, Dec 2009, Miami, United States. ⟨inria-00430578⟩
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Light Source Storage and Interpolation for Global Illumination: a neural solution
Delepoulle Samuel, Renaud Christophe, Philippe Preux. Light Source Storage and Interpolation for Global Illumination: a neural solution. Dimitri Plemenos, Georgios Miaoulis. Intelligent Computer Graphics, 240, Springer, pp.87-104, 2009, Studies in Computational Intelligence. ⟨hal-00826053⟩
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Improving light position in a growth chamber through the use of a genetic algorithm
S. Delepoulle, C. Renaud, Michaël Chelle. Improving light position in a growth chamber through the use of a genetic algorithm. Studies in Computational Intelligence, 2008, Studies in Computational Intelligence, 159, ⟨10.1007/978-3-540-85128-8⟩. ⟨hal-01192301⟩
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Modeling light phylloclimate within growth chambers
Michaël Chelle, Christophe Renaud, Samuel Delepoulle, Didier Combes. Modeling light phylloclimate within growth chambers. 5. International Workshop, Nov 2007, Napier, New Zealand. ⟨hal-01191959⟩
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A perceptual stopping condition for global illumination computations
Nawel Takouachet, Samuel Delepoulle, Christophe Renaud. A perceptual stopping condition for global illumination computations. Spring Conference on Computer Graphics, Apr 2007, Budmerice, Slovakia. ⟨hal-03479491⟩
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