Daniele Borghesani

32 papers A* 2A 1B 8Misc 2Journal 4Unranked 15

Year	Rank	Type	Title / Venue / Authors
2014	J	`jnl`	Miniature illustrations retrieval and innovative interaction for digital illuminated manuscripts. Multim. Syst. Daniele Borghesani, Costantino Grana, Rita Cucchiara
2013	—	`conf`	A fast approach for integrating ORB descriptors in the bag of words model. Multimedia Content and Mobile Devices Costantino Grana, Daniele Borghesani, Marco Manfredi, Rita Cucchiara
2012	B	`conf`	2D images map warping for improved user interaction. ICPR Daniele Borghesani, Costantino Grana, Rita Cucchiara
2012	—	`conf`	A Human vs. Machine Challenge in Fashion Color Classification. ECCV Workshops (3) Costantino Grana, Daniele Borghesani, Rita Cucchiara
2012	A	`conf`	Class-Based Color Bag of Words for Fashion Retrieval. ICME Costantino Grana, Daniele Borghesani, Rita Cucchiara
2012	B	`conf`	Learning non-target items for interesting clothes segmentation in fashion images. ICPR Costantino Grana, Simone Calderara, Daniele Borghesani, Rita Cucchiara
2012	J	`jnl`	Optimal decision trees for local image processing algorithms. Pattern Recognit. Lett. Costantino Grana, Manuela Montangero, Daniele Borghesani
2012	—	`conf`	Relevance Feedback as an Interactive Navigation Tool. VISAPP (2) Daniele Borghesani, Costantino Grana, Rita Cucchiara
2012	B	`conf`	Veiling Luminance estimation on FPGA-based embedded smart camera. Intelligent Vehicles Symposium Costantino Grana, Daniele Borghesani, Paolo Santinelli, Rita Cucchiara
2011	J	`jnl`	Automatic segmentation of digitalized historical manuscripts. Multim. Tools Appl. Costantino Grana, Daniele Borghesani, Rita Cucchiara
2011	B	`conf`	Feature Space Warping Relevance Feedback with Transductive Learning. ACIVS Daniele Borghesani, Dalia Coppi, Costantino Grana, Simone Calderara, Rita Cucchiara
2011	—	`conf`	Multimedia for Cultural Heritage: Key Issues. MM4CH Rita Cucchiara, Costantino Grana, Daniele Borghesani, Maristella Agosti, Andrew D. Bagdanov
2011	—	`conf`	Optimal Decision Trees Generation from OR-Decision Tables. ICIAP (1) Costantino Grana, Manuela Montangero, Daniele Borghesani, Rita Cucchiara
2011	B	`conf`	Relevance feedback strategies for artistic image collections tagging. ICMR Costantino Grana, Daniele Borghesani, Rita Cucchiara
2011	—	`conf`	Towards Artistic Collections Navigation Tools Based on Relevance Feedback. MM4CH Daniele Borghesani, Costantino Grana, Rita Cucchiara
2010	—	`conf`	Bag-of-words classification of miniature illustrations. WIAMIS Costantino Grana, Daniele Borghesani, Giovanni Gualdi, Rita Cucchiara
2010	B	`conf`	Decision Trees for Fast Thinning Algorithms. ICPR Costantino Grana, Daniele Borghesani, Rita Cucchiara
2010	—	`conf`	High Performance Connected Components Labeling on FPGA. DEXA Workshops Costantino Grana, Daniele Borghesani, Paolo Santinelli, Rita Cucchiara
2010	—	`conf`	Improving Classification and Retrieval of Illuminated Manuscript with Semantic Information. IRCDL Costantino Grana, Daniele Borghesani, Rita Cucchiara
2010	J	`jnl`	Optimized Block-Based Connected Components Labeling With Decision Trees. IEEE Trans. Image Process. Costantino Grana, Daniele Borghesani, Rita Cucchiara
2010	A*	`conf`	Rerum novarum: interactive exploration of illuminated manuscripts. ACM Multimedia Daniele Borghesani, Costantino Grana, Rita Cucchiara
2010	A*	`conf`	Surfing on artistic documents with visually assisted tagging. ACM Multimedia Daniele Borghesani, Costantino Grana, Rita Cucchiara
2009	—	`conf`	Automatic Analysis of Historical Manuscripts. PRIS Costantino Grana, Daniele Borghesani, Rita Cucchiara
2009	Misc	`conf`	Color Features Performance Comparison for Image Retrieval. ICIAP Daniele Borghesani, Costantino Grana, Rita Cucchiara
2009	Misc	`conf`	Connected Component Labeling Techniques on Modern Architectures. ICIAP Costantino Grana, Daniele Borghesani, Rita Cucchiara
2009	B	`conf`	Fast block based connected components labeling. ICIP Costantino Grana, Daniele Borghesani, Rita Cucchiara
2009	—	`conf`	Optimal Decision Tree Synthesis for Efficient Neighborhood Computation. AI*IA Costantino Grana, Daniele Borghesani
2009	—	`conf`	Picture extraction from digitized historical manuscripts. CIVR Costantino Grana, Daniele Borghesani, Rita Cucchiara
2008	—	`conf`	"Inside the bible": segmentation, annotation and retrieval for a new browsing experience. Multimedia Information Retrieval Costantino Grana, Daniele Borghesani, Simone Calderara, Rita Cucchiara
2008	B	`conf`	Describing texture directions with Von Mises distributions. ICPR Costantino Grana, Daniele Borghesani, Rita Cucchiara
2007	—	`conf`	Compressed Domain Features Extraction for Shot Characterization. KAMC Costantino Grana, Roberto Vezzani, Daniele Borghesani, Rita Cucchiara
2007	—	`conf`	Video Shots Comparison using the Mallows Distance. DEXA Workshops Costantino Grana, Daniele Borghesani, Rita Cucchiara

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.