Taeho Kil - RankMe

11 papers A* 4Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Extract Free Dense Misalignment from CLIP. AAAI JeongYeon Nam, Jinbae Im, Wonjae Kim, Taeho Kil
2024	J	`jnl`	Extract Free Dense Misalignment from CLIP. CoRR JeongYeon Nam, Jinbae Im, Wonjae Kim, Taeho Kil
2024	—	`conf`	SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities. NAACL-HLT Hyunjong Ok, Taeho Kil, Sukmin Seo, Jaeho Lee
2024	J	`jnl`	SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities. CoRR Hyunjong Ok, Taeho Kil, Sukmin Seo, Jaeho Lee
2023	J	`jnl`	Cream: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. CoRR Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park
2023	A*	`conf`	SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap. ICCV Daehee Kim, Yoonsik Kim, Donghyun Kim, Yumin Lim, Geewook Kim, Taeho Kil
2023	J	`jnl`	SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap. CoRR Daehee Kim, Yoonsik Kim, Donghyun Kim, Yumin Lim, Geewook Kim, Taeho Kil
2023	A*	`conf`	Towards Unified Scene Text Spotting Based on Sequence Generation. CVPR Taeho Kil, Seonghyeon Kim, Sukmin Seo, Yoonsik Kim, Daehee Kim
2023	J	`jnl`	Towards Unified Scene Text Spotting based on Sequence Generation. CoRR Taeho Kil, Seonghyeon Kim, Sukmin Seo, Yoonsik Kim, Daehee Kim
2023	A*	`conf`	Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. EMNLP Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park
2022	J	`jnl`	DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting. CoRR Seonghyeon Kim, Seung Shin, Yoonsik Kim, Hancheol Cho, Taeho Kil, Jaeheung Surh, Seunghyun Park, Bado Lee, Youngmin Baek

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.