Tatiana Zemskova

12 papers A* 2Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FocusGraph: Graph-Structured Frame Selection for Embodied Long Video Question Answering. CoRR Tatiana Zemskova, Solomon Andryushenko, Ilya Obrubov, Viktoriia Khoruzhaia, Ekaterina Eroshenko, Ekaterina Derevyanka, Dmitry Yudin
2025	A*	`conf`	Beyond Bare Queries: Open-Vocabulary Object Grounding with 3D Scene Graph. ICRA Sergey Linok, Tatiana Zemskova, Svetlana Ladanova, Roman Titkov, Dmitry A. Yudin, Maxim Monastyrny, Aleksei Valenkov
2025	J	`jnl`	OVSegDT: Segmenting Transformer for Open-Vocabulary Object Goal Navigation. CoRR Tatiana Zemskova, Aleksei Staroverov, Dmitry A. Yudin, Aleksandr Panov
2025	J	`jnl`	SegmATRon: Embodied adaptive semantic segmentation for indoor environment. Neurocomputing Tatiana Zemskova, Margarita Kichik, Dmitry A. Yudin, Aleksei Staroverov, Aleksandr Panov
2025	J	`jnl`	Semantic Object Navigation With Segmenting Decision Transformer. IEEE Access Aleksei Staroverov, Tatiana Zemskova, Dmitry A. Yudin, Aleksandr I. Panov
2024	J	`jnl`	3DGraphLLM: Combining Semantic Graphs and Large Language Models for 3D Scene Understanding. CoRR Tatiana Zemskova, Dmitry A. Yudin
2024	J	`jnl`	Beyond Bare Queries: Open-Vocabulary Object Retrieval with 3D Scene Graph. CoRR Sergey Linok, Tatiana Zemskova, Svetlana Ladanova, Roman Titkov, Dmitry A. Yudin
2024	J	`jnl`	Interactive Semantic Map Representation for Skill-Based Visual Object Navigation. IEEE Access Tatiana Zemskova, Aleksei Staroverov, Kirill Muravyev, Dmitry A. Yudin, Aleksandr I. Panov
2023	J	`jnl`	Interactive Semantic Map Representation for Skill-based Visual Object Navigation. CoRR Tatiana Zemskova, Aleksei Staroverov, Kirill Muravyev, Dmitry A. Yudin, Aleksandr Panov
2023	J	`jnl`	SegmATRon: Embodied Adaptive Semantic Segmentation for Indoor Environment. CoRR Tatiana Zemskova, Margarita Kichik, Dmitry A. Yudin, Aleksei Staroverov, Aleksandr Panov
2023	—	`conf`	TASFormer: Task-Aware Image Segmentation Transformer. ICONIP (5) Dmitry A. Yudin, Aleksandr Khorin, Tatiana Zemskova, Darya Ovchinnikova
2022	A*	`conf`	Aligning individual brains with fused unbalanced Gromov Wasserstein. NeurIPS Alexis Thual, Quang Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion

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.