Daniel Sungho Jung

13 papers A* 3Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Human-Object Interaction for 3D Human Pose Estimation from LiDAR Point Clouds. CoRR Daniel Sungho Jung, Dohee Cho, Kyoung Mu Lee
2026	J	`jnl`	TeHOR: Text-Guided 3D Human and Object Reconstruction with Textures. CoRR Hyeongjin Nam, Daniel Sungho Jung, Kyoung Mu Lee
2025	J	`jnl`	Learning Dense Hand Contact Estimation from Imbalanced Data. CoRR Daniel Sungho Jung, Kyoung Mu Lee
2025	A*	`conf`	SemanticDraw: Towards Real-Time Interactive Content Creation from Image Diffusion Models. CVPR Jaerin Lee, Daniel Sungho Jung, Kanggeon Lee, Kyoung Mu Lee
2025	J	`jnl`	Shoe Style-Invariant and Ground-Aware Learning for Dense Foot Contact Estimation. CoRR Daniel Sungho Jung, Kyoung Mu Lee
2024	A*	`conf`	Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer. CVPR Hyeongjin Nam, Daniel Sungho Jung, Gyeongsik Moon, Kyoung Mu Lee
2024	J	`jnl`	Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer. CoRR Hyeongjin Nam, Daniel Sungho Jung, Gyeongsik Moon, Kyoung Mu Lee
2024	J	`jnl`	RHOBIN Challenge: Reconstruction of Human Object Interaction. CoRR Xianghui Xie, Xi Wang, Nikos Athanasiou, Bharat Lal Bhatnagar, Chun-Hao P. Huang, Kaichun Mo, Hao Chen, Xia Jia, Zerui Zhang, Liangxian Cui, Xiao Lin, Bingqiao Qian, Jie Xiao, Wenfei Yang, Hyeongjin Nam, Daniel Sungho Jung, Kihoon Kim, Kyoung Mu Lee, Otmar Hilliges, Gerard Pons-Moll
2024	J	`jnl`	StreamMultiDiffusion: Real-Time Interactive Generation with Region-Based Semantic Control. CoRR Jaerin Lee, Daniel Sungho Jung, Kanggeon Lee, Kyoung Mu Lee
2023	A*	`conf`	Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction. ICCV Hyeongjin Nam, Daniel Sungho Jung, Yeonguk Oh, Kyoung Mu Lee
2023	J	`jnl`	Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction. CoRR Hyeongjin Nam, Daniel Sungho Jung, Yeonguk Oh, Kyoung Mu Lee
2023	—	`conf`	Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recovery. ICCV (Workshops) Joonkyu Park, Daniel Sungho Jung, Gyeongsik Moon, Kyoung Mu Lee
2023	J	`jnl`	Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recovery. CoRR Joonkyu Park, Daniel Sungho Jung, Gyeongsik Moon, Kyoung Mu 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.

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.