Samuel Delepoulle
Publications
Publications
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Guided-Generative Network for noise detection in Monte-Carlo rendering20th IEEE International Conference On Machine Learning And Applications, Dec 2021, Pasadena, United States |
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Firefly removal in Monte Carlo rendering with adaptive Median of meaNsThe 32nd edition of the Eurographics Symposium on Rendering (EGSR) 2021, Jun 2021, Saarbrücken, Germany. pp.121-132, ⟨10.2312/sr.20211296⟩ |
The development of the processing cost entailed by conflicting affordances during object perception21st European Society for Cognitive Psychology (ESCOP), Sep 2019, Tenerife, Spain |
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ECON: a Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids ApproximationInternational Conference on Machine Learning and Applications, Dec 2009, Miami, United States |
Modeling light phylloclimate within growth chambers5. International Workshop, Nov 2007, Napier, New Zealand |
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A perceptual stopping condition for global illumination computationsSpring Conference on Computer Graphics, Apr 2007, Budmerice, Slovakia |
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Guided-Generative Network: A New Robust Deep Learning Architecture for Noise Characterization in Monte-Carlo RenderingDeep 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⟩ |
Low-Level Image Processing Based on Interval-Valued Fuzzy Sets and Scale-Space SmoothingRecent Contributions in Intelligent Systems, 657, Springer International Publishing, pp.1-22, 2017, Studies in Computational Intelligence, 978-3-319-82354-6. ⟨10.1007/978-3-319-41438-6_1⟩ |
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A comparison of two machine learning approaches for Photometric Solids CompressionPlemenos; Dimitri; Miaoulis; Georgios. Intelligent Computer Graphics, 321, Springer, pp.145-164, 2010, Studies in Computational Intelligence |
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Light Source Storage and Interpolation for Global Illumination: a neural solutionDimitri Plemenos, Georgios Miaoulis. Intelligent Computer Graphics, 240, Springer, pp.87-104, 2009, Studies in Computational Intelligence |
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Méthodes d'apprentissage par renforcement pour espaces continus : les méthodes à gradient de politique et leurs améliorations (TRPO et PPO). v1.01Laboratoire d'Informatique Signal et Image de la Côte d'Opale. 2023 |
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Entre perception et images numériques : une perspectiveInformatique [cs]. Université du Littoral - Côte d'Opale, 2022 |