Zhaoqi Su - RankMe

16 papers A* 2Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ThermoSplat: Cross-Modal 3D Gaussian Splatting with Feature Modulation and Geometry Decoupling. CoRR Zhaoqi Su, Shihai Chen, Xinyan Lin, Liqin Huang, Zhipeng Su, Xiaoqiang Lu
2025	J	`jnl`	Parametric Gaussian Human Model: Generalizable Prior for Efficient and Realistic Human Avatar Modeling. CoRR Cheng Peng, Jingxiang Sun, Yushuo Chen, Zhaoqi Su, Zhuo Su, Yebin Liu
2025	J	`jnl`	SemanticSplat: Feed-Forward 3D Scene Understanding with Language-Aware Gaussian Fields. CoRR Qijing Li, Jingxiang Sun, Liang An, Zhaoqi Su, Hongwen Zhang, Yebin Liu
2024	—	`conf`	3D Gaussian Parametric Head Model. ECCV (35) Yuelang Xu, Lizhen Wang, Zerong Zheng, Zhaoqi Su, Yebin Liu
2024	J	`jnl`	3D Gaussian Parametric Head Model. CoRR Yuelang Xu, Lizhen Wang, Zerong Zheng, Zhaoqi Su, Yebin Liu
2024	—	`conf`	LayGA: Layered Gaussian Avatars for Animatable Clothing Transfer. SIGGRAPH (Conference Paper Track) Siyou Lin, Zhe Li, Zhaoqi Su, Zerong Zheng, Hongwen Zhang, Yebin Liu
2024	J	`jnl`	LayGA: Layered Gaussian Avatars for Animatable Clothing Transfer. CoRR Siyou Lin, Zhe Li, Zhaoqi Su, Zerong Zheng, Hongwen Zhang, Yebin Liu
2023	A*	`conf`	CaPhy: Capturing Physical Properties for Animatable Human Avatars. ICCV Zhaoqi Su, Liangxiao Hu, Siyou Lin, Hongwen Zhang, Shengping Zhang, Justus Thies, Yebin Liu
2023	J	`jnl`	CaPhy: Capturing Physical Properties for Animatable Human Avatars. CoRR Zhaoqi Su, Liangxiao Hu, Siyou Lin, Hongwen Zhang, Shengping Zhang, Justus Thies, Yebin Liu
2023	J	`jnl`	DeepCloth: Neural Garment Representation for Shape and Style Editing. IEEE Trans. Pattern Anal. Mach. Intell. Zhaoqi Su, Tao Yu, Yangang Wang, Yebin Liu
2022	J	`jnl`	MulayCap: Multi-Layer Human Performance Capture Using a Monocular Video Camera. IEEE Trans. Vis. Comput. Graph. Zhaoqi Su, Weilin Wan, Tao Yu, Lingjie Liu, Lu Fang, Wenping Wang, Yebin Liu
2020	J	`jnl`	DeepCloth: Neural Garment Representation for Shape and Style Editing. CoRR Zhaoqi Su, Tao Yu, Yangang Wang, Yipeng Li, Yebin Liu
2020	J	`jnl`	MulayCap: Multi-layer Human Performance Capture Using A Monocular Video Camera. CoRR Zhaoqi Su, Weilin Wan, Tao Yu, Lingjie Liu, Lu Fang, Wenping Wang, Yebin Liu
2020	J	`jnl`	View Synthesis from multi-view RGB data using multilayered representation and volumetric estimation. Virtual Real. Intell. Hardw. Zhaoqi Su, Tiansong Zhou, Kun Li, David J. Brady, Yebin Liu
2018	J	`jnl`	Towards Fully Mobile 3D Face, Body, and Environment Capture Using Only Head-worn Cameras. IEEE Trans. Vis. Comput. Graph. Young-Woon Cha, True Price, Zhen Wei, Xinran Lu, Nicholas Rewkowski, Rohan Chabra, Zihe Qin, Hyounghun Kim, Zhaoqi Su, Yebin Liu, Adrian Ilie, Andrei State, Zhenlin Xu, Jan-Michael Frahm, Henry Fuchs
2017	A*	`conf`	BodyFusion: Real-Time Capture of Human Motion and Surface Geometry Using a Single Depth Camera. ICCV Tao Yu, Kaiwen Guo, Feng Xu, Yuan Dong, Zhaoqi Su, Jianhui Zhao, Jianguo Li, Qionghai Dai, Yebin Liu

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.