Gaston Lenczner

12 papers C 4Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	C	`conf`	Semantic Segmentation of Coffee Plantations from Sentinel-2 Time Series. IGARSS Jan Pisl, Gaston Lenczner, Devis Tuia, Frank de Morsier
2022	J	`jnl`	DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing. CoRR Gaston Lenczner, Adrien Chan-Hon-Tong, Bertrand Le Saux, Nicola Luminari, Guy Le Besnerais
2022	J	`jnl`	DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Gaston Lenczner, Adrien Chan-Hon-Tong, Bertrand Le Saux, Nicola Luminari, Guy Le Besnerais
2022	—	`—`	Interactive semantic segmentation of aerial images with deep neural networks. (Segmentation sémantique interactive d'images aériennes avec des réseaux de neurones profonds). Gaston Lenczner
2022	C	`conf`	Weakly-Supervised Continual Learning for Class-Incremental Segmentation. IGARSS Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux
2022	J	`jnl`	Weakly-supervised continual learning for class-incremental segmentation. CoRR Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux
2022	C	`conf`	What Could We Learn from Many Datasets in Remote Sensing Roof Semantic Segmentation? IGARSS Safa Bousbih, Adrien Chan-Hon-Tong, Gaston Lenczner
2021	C	`conf`	Demotivate Adversarial Defense in Remote Sensing. IGARSS Adrien Chan-Hon-Tong, Gaston Lenczner, Aurélien Plyer
2021	J	`jnl`	Demotivate adversarial defense in remote sensing. CoRR Adrien Chan-Hon-Tong, Gaston Lenczner, Aurélien Plyer
2020	J	`jnl`	DISIR: Deep Image Segmentation with Interactive Refinement. CoRR Gaston Lenczner, Bertrand Le Saux, Nicola Luminari, Adrien Chan-Hon-Tong, Guy Le Besnerais
2020	—	`conf`	Interactive Learning for Semantic Segmentation in Earth Observation. MACLEAN@PKDD/ECML Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux, Guy Le Besnerais
2020	J	`jnl`	Interactive Learning for Semantic Segmentation in Earth Observation. CoRR Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux, Guy Le Besnerais

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.