Yang Zou - RankMe

23 papers A* 6Misc 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarially robust Fourier-aware multimodal medical image fusion for LSCI. Neurocomputing Liang Zhou, Zhidong Jiao, Yuchun He, Xingyue Zhu, Weipeng Sun, Xingyuan Li, Yang Zou
2026	J	`jnl`	Contourlet Refinement Gate Framework for Thermal Spectrum Distribution Regularized Infrared Image Super-Resolution. Int. J. Comput. Vis. Yang Zou, Zhixin Chen, Zhipeng Zhang, Xingyuan Li, Long Ma, Jinyuan Liu, Peng Wang, Yanning Zhang
2026	A*	`conf`	HATIR: Heat-Aware Diffusion for Turbulent Infrared Video Super-Resolution. AAAI Yang Zou, Xingyue Zhu, Kaiqi Han, Jun Ma, Xingyuan Li, Zhiying Jiang, Jinyuan Liu
2026	J	`jnl`	HATIR: Heat-Aware Diffusion for Turbulent Infrared Video Super-Resolution. CoRR Yang Zou, Xingyue Zhu, Kaiqi Han, Jun Ma, Xingyuan Li, Zhiying Jiang, Jinyuan Liu
2026	J	`jnl`	Illumination Refinement via Textual Cues: A Prompt-Driven Approach for Low-Light NeRF Enhancement. IEEE Trans. Circuits Syst. Video Technol. Xinrui Ju, Yang Zou, Xingyuan Li, Zirui Wang, Jun Ma, Zhiying Jiang, Jinyuan Liu
2026	A*	`conf`	Pansharpening for Thin-Cloud Contaminated Remote Sensing Images: A Unified Framework and Benchmark Dataset. AAAI Songcheng Du, Yang Zou, Jiaxin Li, Mingxuan Liu, Ying Li, Changjing Shang, Qiang Shen
2026	J	`jnl`	Pansharpening for Thin-Cloud Contaminated Remote Sensing Images: A Unified Framework and Benchmark Dataset. CoRR Songcheng Du, Yang Zou, Jiaxin Li, Mingxuan Liu, Ying Li, Changjing Shang, Qiang Shen
2026	J	`jnl`	Toward Real-world Infrared Image Super-Resolution: A Unified Autoregressive Framework and Benchmark Dataset. CoRR Yang Zou, Jun Ma, Zhidong Jiao, Xingyuan Li, Zhiying Jiang, Jinyuan Liu
2026	J	`jnl`	UniFusion: A Unified Image Fusion Framework with Robust Representation and Source-Aware Preservation. CoRR Xingyuan Li, Songcheng Du, Yang Zou, Haoyuan Xu, Zhiying Jiang, Jinyuan Liu
2026	J	`jnl`	Unsupervised Hyperspectral Image Super-Resolution via Self-Supervised Modality Decoupling. Int. J. Comput. Vis. Songcheng Du, Yang Zou, Zixu Wang, Xingyuan Li, Ying Li, Changjing Shang, Qiang Shen
2025	J	`jnl`	AxisPose: Model-Free Matching-Free Single-Shot 6D Object Pose Estimation via Axis Generation. CoRR Yang Zou, Zhaoshuai Qi, Yating Liu, Zihao Xu, Weipeng Sun, Weiyi Liu, Xingyuan Li, Jiaqi Yang, Yanning Zhang
2025	A*	`conf`	DCEvo: Discriminative Cross-Dimensional Evolutionary Learning for Infrared and Visible Image Fusion. CVPR Jinyuan Liu, Bowei Zhang, Qingyun Mei, Xingyuan Li, Yang Zou, Zhiying Jiang, Long Ma, Risheng Liu, Xin Fan
2025	J	`jnl`	DCEvo: Discriminative Cross-Dimensional Evolutionary Learning for Infrared and Visible Image Fusion. CoRR Jinyuan Liu, Bowei Zhang, Qingyun Mei, Xingyuan Li, Yang Zou, Zhiying Jiang, Long Ma, Risheng Liu, Xin Fan
2025	A*	`conf`	DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution. CVPR Xingyuan Li, Zirui Wang, Yang Zou, Zhixin Chen, Jun Ma, Zhiying Jiang, Long Ma, Jinyuan Liu
2025	J	`jnl`	DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution. CoRR Xingyuan Li, Zirui Wang, Yang Zou, Zhixin Chen, Jun Ma, Zhiying Jiang, Long Ma, Jinyuan Liu
2025	J	`jnl`	Modeling detail feature connections for infrared image enhancement. Neurocomputing Ziang Meng, Kaiqi Han, Yuchun He, Yuhan He, Xingyuan Li, Yang Zou
2025	A*	`conf`	Toward a Training-Free Plug-and-Play Refinement Framework for Infrared and Visible Image Registration and Fusion. ACM Multimedia Yating Liu, Yang Zou, Xingyuan Li, Xingyue Zhu, Kaiqi Han, Zhiying Jiang, Long Ma, Jinyuan Liu
2024	Misc	`conf`	Adaptive Multi-Exposure Fusion for Enhanced Neural Radiance Fields. ICASSP Yang Zou, Xingyuan Li, Zhiying Jiang, Tiantian Yan, Jinyuan Liu
2024	J	`jnl`	Contourlet Refinement Gate Framework for Thermal Spectrum Distribution Regularized Infrared Image Super-Resolution. CoRR Yang Zou, Zhixin Chen, Zhipeng Zhang, Xingyuan Li, Long Ma, Jinyuan Liu, Peng Wang, Yanning Zhang
2024	—	`conf`	Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution. ECCV (3) Xingyuan Li, Jinyuan Liu, Zhixin Chen, Yang Zou, Long Ma, Xin Fan, Risheng Liu
2024	A*	`conf`	Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis. AAAI Yang Zou, Xingyuan Li, Zhiying Jiang, Jinyuan Liu
2024	J	`jnl`	From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion. CoRR Xingyuan Li, Yang Zou, Jinyuan Liu, Zhiying Jiang, Long Ma, Xin Fan, Risheng Liu
2024	J	`jnl`	Modality Decoupling is All You Need: A Simple Solution for Unsupervised Hyperspectral Image Fusion. CoRR Songcheng Du, Yang Zou, Zixu Wang, Xingyuan Li, Ying Li, Qiang Shen

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.