Zengxi Zhang - RankMe

19 papers A* 3Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Degradation-aware feature collaboration for underwater image stitching. Pattern Recognit. Jiahao Zhang, Xiaoke Shang, Zengxi Zhang, Jinyuan Liu
2026	J	`jnl`	SeFENet: Robust Deep Homography Estimation via Semantic-Driven Feature Enhancement. IEEE Trans. Circuits Syst. Video Technol. Zeru Shi, Zengxi Zhang, Kemeng Cui, Ruizhe An, Jinyuan Liu, Zhiying Jiang
2025	J	`jnl`	DRNet: Learning a dynamic recursion network for chaotic rain streak removal. Pattern Recognit. Zhiying Jiang, Risheng Liu, Shuzhou Yang, Zengxi Zhang, Xin Fan
2025	J	`jnl`	Depth-Supervised Fusion Network for Seamless-Free Image Stitching. CoRR Zhiying Jiang, Ruhao Yan, Zengxi Zhang, Bowei Zhang, Jinyuan Liu
2025	J	`jnl`	HUPE: Heuristic Underwater Perceptual Enhancement with Semantic Collaborative Learning. Int. J. Comput. Vis. Zengxi Zhang, Zhiying Jiang, Long Ma, Jinyuan Liu, Xin Fan, Risheng Liu
2024	J	`jnl`	HUPE: Heuristic Underwater Perceptual Enhancement with Semantic Collaborative Learning. CoRR Zengxi Zhang, Zhiying Jiang, Long Ma, Jinyuan Liu, Xin Fan, Risheng Liu
2024	J	`jnl`	Learning a Holistic-Specific color transformer with Couple Contrastive constraints for underwater image enhancement and beyond. J. Vis. Commun. Image Represent. Debin Wei, Hongji Xie, Zengxi Zhang, Tiantian Yan
2024	J	`jnl`	Multispectral Image Stitching via Global-Aware Quadrature Pyramid Regression. IEEE Trans. Image Process. Zhiying Jiang, Zengxi Zhang, Jinyuan Liu, Xin Fan, Risheng Liu
2024	J	`jnl`	SeFENet: Robust Deep Homography Estimation via Semantic-Driven Feature Enhancement. CoRR Zeru Shi, Zengxi Zhang, Zhiying Jiang, Ruizhe An, Jinyuan Liu
2023	J	`jnl`	Bilevel modeling investigated generative adversarial framework for image restoration. Vis. Comput. Zhiying Jiang, Zengxi Zhang, Yiyao Yu, Risheng Liu
2023	J	`jnl`	Contrastive Learning Based Recursive Dynamic Multi-Scale Network for Image Deraining. CoRR Zhiying Jiang, Risheng Liu, Shuzhou Yang, Zengxi Zhang, Xin Fan
2023	J	`jnl`	Dual Adversarial Resilience for Collaborating Robust Underwater Image Enhancement and Perception. CoRR Zengxi Zhang, Zhiying Jiang, Zeru Shi, Jinyuan Liu, Risheng Liu
2023	J	`jnl`	Modality-Invariant Representation for Infrared and Visible Image Registration. CoRR Zhiying Jiang, Zengxi Zhang, Jinyuan Liu, Xin Fan, Risheng Liu
2023	A*	`conf`	Multi-Spectral Image Stitching via Spatial Graph Reasoning. ACM Multimedia Zhiying Jiang, Zengxi Zhang, Jinyuan Liu, Xin Fan, Risheng Liu
2023	J	`jnl`	Multi-Spectral Image Stitching via Spatial Graph Reasoning. CoRR Zhiying Jiang, Zengxi Zhang, Jinyuan Liu, Xin Fan, Risheng Liu
2023	J	`jnl`	Publisher Correction: Bilevel modeling investigated generative adversarial framework for image restoration. Vis. Comput. Zhiying Jiang, Zengxi Zhang, Yiyao Yu, Risheng Liu
2023	A*	`conf`	WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond. ACM Multimedia Zengxi Zhang, Zhiying Jiang, Jinyuan Liu, Xin Fan, Risheng Liu
2023	J	`jnl`	WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond. CoRR Zengxi Zhang, Zhiying Jiang, Jinyuan Liu, Xin Fan, Risheng Liu
2022	A*	`conf`	Towards All Weather and Unobstructed Multi-Spectral Image Stitching: Algorithm and Benchmark. ACM Multimedia Zhiying Jiang, Zengxi Zhang, Xin Fan, Risheng 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.