Taehei Kim

13 papers A* 1Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Voronoi Rooms: Dynamic Visibility Modulation of Overlapping Spaces for Telepresence.
ACM Trans. Graph.
Taehei Kim, Jihun Shin, Hyeshim Kim, Hyuckjin Jang, Jiho Kang, Sung-Hee Lee
2025 J jnl
Evaluating user perception toward physics-adapted avatar in remote heterogeneous spaces.
Comput. Graph.
Taehei Kim, Hyeshim Kim, Jeongmi Lee, Sung-Hee Lee
2025 J jnl
Real-Time Translation of Upper-Body Gestures to Virtual Avatars in Dissimilar Telepresence Environments.
IEEE Trans. Vis. Comput. Graph.
Jiho Kang, Taehei Kim, Hyeshim Kim, Sung-Hee Lee
2025 — conf
Situated Embodied XR Agents via Spatial Reasoning and Prompting.
ISMAR-Adjunct
Jihun Shin, Hyeonjin Kim, Eunseong Lee, Donghwan Shin, Kwang Bin Lee, Taehei Kim, Hyeshim Kim, Joonsik An, Sung-Hee Lee
2024 — conf
Evaluating User Perception Toward Pose-Changed Avatar in Remote Dissimilar Spaces.
VR Workshops
Taehei Kim, Hyeshim Kim, Jeongmi Lee, Sung-Hee Lee
2024 — conf
Visibility Modulation of Aligned Spaces for Multi-User Telepresence.
ISMAR-Adjunct
Taehei Kim, Jihun Shin, Hyeshim Kim, Hyuckjin Jang, Jiho Kang, Sung-Hee Lee
2024 J jnl
Visual Guidance for User Placement in Avatar-Mediated Telepresence Between Dissimilar Spaces.
IEEE Trans. Vis. Comput. Graph.
Dongseok Yang, Jiho Kang, Taehei Kim, Sung-Hee Lee
2023 A* conf
Real-time Retargeting of Deictic Motion to Virtual Avatars for Augmented Reality Telepresence.
ISMAR
Jiho Kang, Dongseok Yang, Taehei Kim, Yewon Lee, Sung-Hee Lee
2022 — conf
Sense of Embodiment Inducement for People with Reduced Lower-body Mobility and Sensations with Partial-Visuomotor Stimulation.
SIGGRAPH Emerging Technologies
Hyuckjin Jang, Taehei Kim, Seoyoung Oh, Jeongmi Lee, Sung-Hee Lee, Sang Ho Yoon
2022 J jnl
Sense of Embodiment Inducement for People with Reduced Lower-body Mobility and Sensations with Partial-Visuomotor Stimulation.
CoRR
Hyuckjin Jang, Taehei Kim, Seoyoung Oh, Jeongmi Lee, Sung-Hee Lee, Sang Ho Yoon
2022 J jnl
Visual Guidance for Remote Interaction in Avatar-Mediated Mixed-Reality Telepresence.
CoRR
Dongseok Yang, Jiho Kang, Taehei Kim, Sung-Hee Lee
2021 — conf
Multi-scale Mixed Reality Collaboration for Digital Twin.
ISMAR Adjunct
Hyung-Il Kim, Taehei Kim, Eunhwa Song, Seoyoung Oh, Dooyoung Kim, Woontack Woo
2021 J jnl
Quadruped Locomotion on Non-Rigid Terrain using Reinforcement Learning.
CoRR
Taehei Kim, Sung-Hee Lee

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.