Yann Gavet - RankMe

25 papers B 1C 2Journal 11Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Small object detection in industrial recycling: a new dataset and YOLO performance evaluation. J. Electronic Imaging Oussama Messai, Abbass Zein-Eddine, Abdelouahid Bentamou, Mickaël Picq, Nicolas Duquesne, Stéphane Puydarrieux, Yann Gavet
2025	J	`jnl`	Image Quality Enhancement and Detection of Small and Dense Objects in Industrial Recycling Processes. CoRR Oussama Messai, Abbass Zein-Eddine, Abdelouahid Bentamou, Mickaël Picq, Nicolas Duquesne, Stéphane Puydarrieux, Yann Gavet
2024	—	`conf`	Enhancing Object Detection in Distorted Environments: A Seamless Integration of Classical Image Processing with Deep Learning Models. ISIVC Abbass Zein-Eddine, Oussama Messai, Abdelouahid Bentamou, Yann Gavet
2024	—	`conf`	Generating 3D Microstructure Images for O2 Fuel Cell Electrode using GANs Enhanced with Minkowski Functionals. ISIVC Abdelouahid Bentamou, Yann Gavet
2023	J	`jnl`	Activating Frequency and ViT for 3D Point Cloud Quality Assessment without Reference. CoRR Oussama Messai, Abdelouahid Bentamou, Abbass Zein-Eddine, Yann Gavet
2021	—	`conf`	Robustness Study of Edge Segmentation and Completion by CNN Based Method for Tessellation Images. ISIVC Valentin Penaud-Polge, Yann Gavet
2019	J	`jnl`	Bag of recurrence patterns representation for time-series classification. Pattern Anal. Appl. Nima Hatami, Yann Gavet, Johan Debayle
2018	J	`jnl`	Bag of Recurrence Patterns Representation for Time-Series Classification. CoRR Nima Hatami, Yann Gavet, Johan Debayle
2017	—	`conf`	3D geometrical characterization and modelling of solid oxide cells electrodes microstructure by image analysis. QCAV Hamza Moussaoui, Johan Debayle, Yann Gavet, Gérard Delette, Maxime Hubert, Peter Cloetens, Jérôme Laurencin
2017	—	`conf`	A novel quantitative methodology for age evaluation of the human corneal endothelium. QCAV Klervi Rannou, Gilles Thuret, Philippe Gain, Jean-Charles Pinoli, Yann Gavet
2017	J	`jnl`	Classification of Time-Series Images Using Deep Convolutional Neural Networks. CoRR Nima Hatami, Yann Gavet, Johan Debayle
2017	C	`conf`	Classification of time-series images using deep convolutional neural networks. ICMV Nima Hatami, Yann Gavet, Johan Debayle
2015	—	`conf`	The Color Logarithmic Image Processing (CoLIP) Antagonist Space and Chromaticity Diagram. CCIW Yann Gavet, Johan Debayle, Jean-Charles Pinoli
2014	J	`jnl`	Comparison and Supervised Learning of Segmentation Methods Dedicated to Specular Microscope Images of Corneal Endothelium. Int. J. Biomed. Imaging Yann Gavet, Jean-Charles Pinoli
2014	J	`jnl`	Dissimilarity criteria and their comparison for quantitative evaluation of image segmentation: application to human retina vessels. Mach. Vis. Appl. Yann Gavet, Mathieu Fernandes, Johan Debayle, Jean-Charles Pinoli
2013	—	`conf`	Integral Geometry of Linearly Combined Gaussian and Student-t, and Skew Student's t Random Fields. GSI Yann Gavet, Ola Suleiman Ahmad, Jean-Charles Pinoli
2012	J	`jnl`	A Geometric Dissimilarity Criterion Between Jordan Spatial Mosaics. Theoretical Aspects and Application to Segmentation Evaluation. J. Math. Imaging Vis. Yann Gavet, Jean-Charles Pinoli
2012	J	`jnl`	Quantitative evaluation of image registration techniques in the case of retinal images. J. Electronic Imaging Yann Gavet, Mathieu Fernandes, Jean-Charles Pinoli
2012	J	`jnl`	Robust 3-D reconstruction of surfaces from image focus by local cross-sectional multivariate statistical analyses: Application to human ex vivo corneal endotheliums. Medical Image Anal. Mathieu Fernandes, Yann Gavet, Jean-Charles Pinoli
2011	C	`conf`	Color correction in the framework of Color Logarithmic Image Processing. ISPA Helene Gouinaud, Yann Gavet, Johan Debayle, Jean-Charles Pinoli
2011	B	`conf`	Robust shape-from-image-focus by 3-D multivariate statistical analyses. ICIP Mathieu Fernandes, Yann Gavet, Jean-Charles Pinoli
2009	—	`conf`	A Feature-based Dense Local Registration of Pairs of Retinal Images. VISAPP (1) Mathieu Fernandes, Yann Gavet, Jean-Charles Pinoli
2008	—	`—`	Perception visuelle humaine, complétion des mosaïques et application à la reconstruction d'images de l'endothélium cornéen humain en microscopie optique spéculaire. (Human visual perception, mosaic completion and application to image reconstruction of human corneal endothelium in optical specular microscopy). Yann Gavet
2007	—	`conf`	Human visual perception, gestalt principles and duality region-contour - application to computer image analysis of human cornea endothelium. VISAPP (2) Yann Gavet, Jean-Charles Pinoli, Gilles Thuret, Philippe Gain
2006	—	`conf`	General Adaptive Neighborhood Image Restoration, Enhancement and Segmentation. ICIAR (1) Johan Debayle, Yann Gavet, Jean-Charles Pinoli

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.