Eigo Segawa - RankMe

19 papers A* 1Misc 3Journal 7Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ultra-fast Traffic Nowcasting and Control via Differentiable Agent-based Simulation. CoRR Fumiyasu Makinoshima, Yuya Yamaguchi, Eigo Segawa, Koichiro Niinuma, Sean Qian
2025	J	`jnl`	Designing Dynamic Pricing for Bike-sharing Systems via Differentiable Agent-based Simulation. CoRR Tatsuya Mitomi, Fumiyasu Makinoshima, Fumiya Makihara, Eigo Segawa
2025	J	`jnl`	Fully Data-Driven but Interpretable Human Behavioural Modelling With Differentiable Discrete Choice Model. IEEE Access Fumiyasu Makinoshima, Tatsuya Mitomi, Fumiya Makihara, Eigo Segawa
2025	—	`conf`	Learning Activity Behavior Choice Models Without Personal Data to Generate Behavioral Data for Social Simulations. SII Asako Yumoto, Shinsa Yamaguchi, Bin Chen, Nozomi Fukuda, Tadahiko Murata, Eigo Segawa
2025	—	`conf`	Leveraging Social Digital Twin Technology to Maximise Sustainable Transformation from Multimodality: A Case Study of Commuters to Greater London. CAI Oluwatamilore Orojo, Bin Chen, Takushi Fujita, Tatsuya Mitomi, Eigo Segawa, Lowell T. Edgar
2024	J	`jnl`	Fully Data-driven but Interpretable Human Behavioural Modelling with Differentiable Discrete Choice Model. CoRR Fumiyasu Makinoshima, Tatsuya Mitomi, Fumiya Makihara, Eigo Segawa
2024	—	`conf`	Improving Efficiency of Dynamic Travel Demand Estimation Using a Hierarchical Temporal Resolution Method. SII Bin Chen, Shinsa Yamaguchi, Tatsuya Mitomi, Eigo Segawa
2024	—	`conf`	The Cognitive Bias-Informed Latent Class Choice Model: A Novel Approach to Predicting Human Behavior. SII Tatsuya Mitomi, Fumiya Makihara, Eigo Segawa
2018	—	`conf`	Study of Human Behavioral Characteristics: Using Virtual Reality to Analyze Behavior of Following Moving Objects. ICAT-EGVE (Posters and Demos) Kazuya Yonezawa, Eigo Segawa, Ryuta Tanaka
2017	—	`conf`	Privacy-Conscious Person Re-identification Using Low-Resolution Videos. ACPR Mingxie Zheng, Kentaro Tsuji, Nobuhiro Miyazaki, Yuji Matsuda, Takayuki Baba, Eigo Segawa, Yusuke Uehara
2015	—	`conf`	Privacy-conscious human detection using low-resolution video. ACPR Nobuhiro Miyazaki, Kentaro Tsuji, Mingxie Zheng, Moyuri Nakashima, Yuji Matsuda, Eigo Segawa
2011	Misc	`conf`	Robust Human Tracking Using Occlusion-free Images from Multiple Video Cameras. MVA Kentaro Tsuji, Mingxie Zheng, Eigo Segawa, Morito Shiohara, Takashi Morihara
2008	J	`jnl`	Robust Small-Object Detection for Outdoor Wide-Area Surveillance. IEICE Trans. Inf. Syst. Daisuke Abe, Eigo Segawa, Osafumi Nakayama, Morito Shiohara, Shigeru Sasaki, Nobuyuki Sugano, Hajime Kanno
2007	Misc	`conf`	Robust Small-Object Detection for Outdoor Wide-Area Surveillance. MVA Daisuke Abe, Eigo Segawa, Osafumi Nakayama, Morito Shiohara, Shigeru Sasaki, Nobuyuki Sugano, Hajime Kanno
2006	J	`jnl`	Preceding Vehicle Detection Using Stereo Images and Non-scanning Millimeter-Wave Radar. IEICE Trans. Inf. Syst. Eigo Segawa, Morito Shiohara, Shigeru Sasaki, Norio Hashiguchi, Tomonobu Takashima, Masatoshi Tohno
2005	Misc	`conf`	Preceding Vehicle Detection Using Stereo Images and Non-Scanning Millimeter-Wave Radar. MVA Eigo Segawa, Morito Shiohara, Shigeru Sasaki, Norio Hashiguchi, Tomonobu Takashima, Masatoshi Tohno
1994	J	`jnl`	Robust active contours with insensitive parameters. Pattern Recognit. Gang Xu, Eigo Segawa, Saburo Tsuji
1993	A*	`conf`	A robust active contour model with insensitive parameters. ICCV Gang Xu, Eigo Segawa, Saburo Tsuji
1992	—	`conf`	Minimal region extraction using expanding active contours. ICPR (3) Eigo Segawa, Gang Xu, Saburo Tsuji

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.