Gaoge Han - RankMe

14 papers A* 1A 2B 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Context-assisted astrous deformable convolution for robust goat face detection and identification. Vis. Comput. Gaoge Han, Lianyue Zhang, Zihan Bai, Xue Zhang, Ruizi Han, Chao Tang, Jinglei Tang
2026	J	`jnl`	Kernel-aware dynamic convolution for dense prediction. Pattern Recognit. Gaoge Han, Mingjiang Liang, Jinglei Tang, Yongkang Cheng, Shaoli Huang, Wei Liu
2026	J	`jnl`	KineVLA: Towards Kinematics-Aware Vision-Language-Action Models with Bi-Level Action Decomposition. CoRR Gaoge Han, Zhengqing Gao, Ziwen Li, Jiaxin Huang, Shaoli Huang, Fakhri Karray, Mingming Gong, Tongliang Liu
2026	J	`jnl`	ReBaR: Reference-based reasoning for robust pose estimation from monocular images. Pattern Recognit. Yongkang Cheng, Mingjiang Liang, Jifeng Ning, Gaoge Han, Wei Liu, Shaoli Huang
2025	J	`jnl`	Aligning Foundation Model Priors and Diffusion-Based Hand Interactions for Occlusion-Resistant Two-Hand Reconstruction. CoRR Gaoge Han, Yongkang Cheng, Zhe Chen, Shaoli Huang, Tongliang Liu
2025	A	`conf`	Conditional GAN for Enhancing Diffusion Models in Efficient and Authentic Global Gesture Generation from Audios. WACV Yongkang Cheng, Mingjiang Liang, Shaoli Huang, Gaoge Han, Jifeng Ning, Wei Liu
2025	B	`conf`	Inter - Diffusion Generation Model of Speakers and Listeners for Effective Communication. ICMR Jinhe Huang, Yongkang Cheng, Minghang Yu, Gaoge Han, Jinwei Li, Jing Zhang, Shilei Wang, Xingjian Gu
2025	J	`jnl`	Inter-Diffusion Generation Model of Speakers and Listeners for Effective Communication. CoRR Jinhe Huang, Yongkang Cheng, Yuming Hang, Gaoge Han, Jinewei Li, Jing Zhang, Xingjian Gu
2025	A	`conf`	ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion Model. WACV Gaoge Han, Mingjiang Liang, Jinglei Tang, Yongkang Cheng, Wei Liu, Shaoli Huang
2024	J	`jnl`	Conditional GAN for Enhancing Diffusion Models in Efficient and Authentic Global Gesture Generation from Audios. CoRR Yongkang Cheng, Mingjiang Liang, Shaoli Huang, Gaoge Han, Jifeng Ning, Wei Liu
2024	A*	`conf`	HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback. AAAI Gaoge Han, Shaoli Huang, Mingming Gong, Jinglei Tang
2024	J	`jnl`	ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion Model. CoRR Gaoge Han, Mingjiang Liang, Jinglei Tang, Yongkang Cheng, Wei Liu, Shaoli Huang
2024	J	`jnl`	SIAM: A parameter-free, Spatial Intersection Attention Module. Pattern Recognit. Gaoge Han, Shaoli Huang, Fang Zhao, Jinglei Tang
2023	J	`jnl`	HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback. CoRR Gaoge Han, Shaoli Huang, Mingming Gong, Jinglei Tang

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.