Oles Dobosevych

22 papers A* 1A 2B 1Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ukrainian Visual Word Sense Disambiguation Benchmark. CoRR Yurii Laba, Yaryna Mohytych, Ivanna Rohulia, Halyna Kyryleyza, Hanna Dydyk-Meush, Oles Dobosevych, Rostyslav Hryniv
2025	—	`conf`	Self-Supervised Real-Time Tracking of Military Vehicles in Low-FPS UAV Footage. ICMCIS Markiyan Kostiv, Anatolii Adamovskyi, Yevhen Cherniavskyi, Mykyta Varenyk, Ostap Viniavskyi, Igor Krashenyi, Oles Dobosevych
2025	J	`jnl`	Self-Supervised Real-Time Tracking of Military Vehicles in Low-FPS UAV Footage. CoRR Markiyan Kostiv, Anatolii Adamovskyi, Yevhen Cherniavskyi, Mykyta Varenyk, Ostap Viniavskyi, Igor Krashenyi, Oles Dobosevych
2025	J	`jnl`	Trace formula for differential operators with frozen argument. Appl. Math. Lett. Oles Dobosevych, Rostyslav Hryniv
2024	A	`conf`	DeVOS: Flow-Guided Deformable Transformer for Video Object Segmentation. WACV Volodymyr Fedynyak, Yaroslav Romanus, Bohdan Hlovatskyi, Bohdan Sydor, Oles Dobosevych, Igor Babin, Roman Riazantsev
2024	J	`jnl`	DeVOS: Flow-Guided Deformable Transformer for Video Object Segmentation. CoRR Volodymyr Fedynyak, Yaroslav Romanus, Bohdan Hlovatskyi, Bohdan Sydor, Oles Dobosevych, Igor Babin, Roman Riazantsev
2024	J	`jnl`	Global Motion Understanding in Large-Scale Video Object Segmentation. CoRR Volodymyr Fedynyak, Yaroslav Romanus, Oles Dobosevych, Igor Babin, Roman Riazantsev
2023	—	`conf`	Global Motion Understanding in Large-Scale Video Object Segmentation. CVPR Workshops Volodymyr Fedynyak, Yaroslav Romanus, Oles Dobosevych, Igor Babin, Roman Riazantsev
2023	—	`conf`	Symmetry-Based 3D Object Completion using Local Geometry Features. CVWW Daria Omelkina, Pavlo Hilei, Oles Dobosevych, Rostyslav Hryniv, Taras Rumezhak, Vladyslav Selotkin, Volodymyr Karpiv
2022	A*	`conf`	Is Mapping Necessary for Realistic PointGoal Navigation? CVPR Ruslan Partsey, Erik Wijmans, Naoki Yokoyama, Oles Dobosevych, Dhruv Batra, Oleksandr Maksymets
2022	J	`jnl`	Is Mapping Necessary for Realistic PointGoal Navigation? CoRR Ruslan Partsey, Erik Wijmans, Naoki Yokoyama, Oles Dobosevych, Dhruv Batra, Oleksandr Maksymets
2022	J	`jnl`	OpenGlue: Open Source Graph Neural Net Based Pipeline for Image Matching. CoRR Ostap Viniavskyi, Mariia Dobko, Dmytro Mishkin, Oles Dobosevych
2022	J	`jnl`	Reconstruction of Differential Operators with Frozen Argument. Axioms Oles Dobosevych, Rostyslav Hryniv
2022	J	`jnl`	Towards realistic symmetry-based completion of previously unseen point clouds. CoRR Taras Rumezhak, Oles Dobosevych, Rostyslav Hryniv, Vladyslav Selotkin, Volodymyr Karpiv, Mykola Maksymenko
2021	A	`conf`	Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration. WACV Yaroslava Lochman, Oles Dobosevych, Rostyslav Hryniv, James Pritts
2021	—	`conf`	Towards realistic symmetry-based completion of previously unseen point clouds. ICCVW Taras Rumezhak, Oles Dobosevych, Rostyslav Hryniv, Vladyslav Selotkin, Volodymyr Karpiv, Mykola Maksymenko
2020	J	`jnl`	CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images. CoRR Mariia Dobko, Bohdan Petryshak, Oles Dobosevych
2020	J	`jnl`	LID 2020: The Learning from Imperfect Data Challenge Results. CoRR Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He
2020	J	`jnl`	Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration. CoRR Yaroslava Lochman, Oles Dobosevych, Rostyslav Hryniv, James Pritts
2020	J	`jnl`	NoPeopleAllowed: The Three-Step Approach to Weakly Supervised Semantic Segmentation. CoRR Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych
2020	B	`conf`	Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images. AIME Ostap Viniavskyi, Mariia Dobko, Oles Dobosevych
2020	J	`jnl`	Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images. CoRR Ostap Viniavskyi, Mariia Dobko, Oles Dobosevych

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.