Samuel Delepoulle

21 papers C 2Journal 8Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond the prompt: gender ratio in text-to-image models, with a case study on hospital professions. AI Ethics Franck Vandewiele, Rémi Synave, Samuel Delepoulle, Rémi Cozot
2025	J	`jnl`	Beyond the Prompt: Gender Bias in Text-to-Image Models, with a Case Study on Hospital Professions. CoRR Franck Vandewiele, Rémi Synave, Samuel Delepoulle, Rémi Cozot
2025	J	`jnl`	Voronoi integration of the rendering equation. CoRR Nicolas Chenavier, Samuel Delepoulle, Christophe Renaud, Franck Vandewiele
2024	J	`jnl`	Reconstructing Image Composition: Computation of Leading Lines. J. Imaging Jing Zhang, Rémi Synave, Samuel Delepoulle, Rémi Cozot
2022	—	`book`	Entre perception et images numériques : une perspective. (Between perception and digital images: a perspective). Samuel Delepoulle
2021	—	`conf`	Firefly Removal in Monte Carlo Rendering with Adaptive Median of meaNs. EGSR (DL) Jérôme Buisine, Samuel Delepoulle, Christophe Renaud
2021	C	`conf`	Guided-Generative Network for noise detection in Monte-Carlo rendering. ICMLA Jérôme Buisine, Fabien Teytaud, Samuel Delepoulle, Christophe Renaud
2021	J	`jnl`	Minimalist And Customisable Optimisation Package. J. Open Source Softw. Jérôme Buisine, Samuel Delepoulle, Christophe Renaud
2021	J	`jnl`	Stopping Criterion during Rendering of Computer-Generated Images Based on SVD-Entropy. Entropy Jérôme Buisine, André Bigand, Rémi Synave, Samuel Delepoulle, Christophe Renaud
2017	J	`jnl`	Perception of noise and global illumination: Toward an automatic stopping criterion based on SVM. Comput. Graph. Nawel Takouachet, Samuel Delepoulle, Christophe Renaud, Nesrine Zoghlami, João Manuel R. S. Tavares
2014	—	`conf`	Noise Estimation for Computer-Generated Images Using an Interval Type-2 Fuzzy Sets Filter. IEEE Conf. on Intelligent Systems (2) Samuel Delepoulle, André Bigand, Christophe Renaud
2013	—	`conf`	Reduced-reference quality assessment of computer-generated images based on RVM. ICCIT Joseph Constantin, Samuel Delepoulle, André Bigand, Christophe Renaud
2012	—	`conf`	A no-reference computer-generated images quality metric and its application to denoising. IEEE Conf. of Intelligent Systems Samuel Delepoulle, André Bigand, Christophe Renaud
2011	—	`ch.`	Detecting Visual Convergence for Stochastic Global Illumination. Intelligent Computer Graphics Christophe Renaud, Samuel Delepoulle, Nawel Takouachet
2009	C	`conf`	ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approximation. ICMLA Manuel Loth, Philippe Preux, Samuel Delepoulle, Christophe Renaud
2008	—	`ch.`	Improving Light Position in a Growth Chamber through the Use of a Genetic Algorithm. Artificial Intelligence Techniques for Computer Graphics Samuel Delepoulle, Christophe Renaud, Michaël Chelle
2007	—	`conf`	A perceptual stopping condition for global illumination computations. SCCG Nawel Takouachet, Samuel Delepoulle, Christophe Renaud
2004	J	`jnl`	A generic architecture for adaptive agents based on reinforcement learning. Inf. Sci. Philippe Preux, Samuel Delepoulle, Jean-Claude Darcheville
2001	—	`conf`	Learning as a Consequence of Selection. Artificial Evolution Samuel Delepoulle, Philippe Preux, Jean-Claude Darcheville
2001	—	`conf`	Selection of Behavior in Social Situations. EvoWorkshops Samuel Delepoulle, Philippe Preux, Jean-Claude Darcheville
1999	—	`conf`	Evolution of Cooperation within a Behavior-Based Perspective: Confronting Nature and Animats. Artificial Evolution Samuel Delepoulle, Philippe Preux, Jean-Claude Darcheville

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.