Zhangjian Ji - RankMe

22 papers A 2B 4Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Small Object Detection Model with Spatial Laplacian Pyramid Attention and Multi-Scale Features Enhancement in Aerial Images. CoRR Zhangjian Ji, Huijia Yan, Shaotong Qiao, Kai Feng, Wei Wei
2025	J	`jnl`	2D Human Pose Estimation with Explicit Anatomical Keypoints Structure Constraints. Signal Image Video Process. Zhangjian Ji, Zilong Wang, Kai Feng
2025	J	`jnl`	A Coarse-to-Fine Human Pose Estimation Method based on Two-stage Distillation and Progressive Graph Neural Network. CoRR Zhangjian Ji, Wenjin Zhang, Shaotong Qiao, Kai Feng, Yuhua Qian
2025	J	`jnl`	Evaluating Robustness of Subnetworks for the Split-Star Network. IEEE Trans. Computers Kai Feng, Guodong Xie, Zhangjian Ji, Dajin Wang
2025	J	`jnl`	Exploring stronger transformer representation learning for occluded person re-identification. Multim. Syst. Zhangjian Ji, Donglin Cheng, Kai Feng
2024	J	`jnl`	Exploring Stronger Transformer Representation Learning for Occluded Person Re-Identification. CoRR Zhangjian Ji, Donglin Cheng, Kai Feng
2024	J	`jnl`	Sparse regularized correlation filter for UAV object tracking with adaptive contextual learning and keyfilter selection. Inf. Sci. Zhangjian Ji, Kai Feng, Yuhua Qian, Jiye Liang
2024	J	`jnl`	Subnetwork reliability of the arrangement graphs under probabilistic fault condition. Theor. Comput. Sci. Kai Feng, Zhangjian Ji, Xuebin Lv, Guozhen Zhang, Wei Wei
2022	J	`jnl`	2D Human Pose Estimation with Explicit Anatomical Keypoints Structure Constraints. CoRR Zhangjian Ji, Zilong Wang, Ming Zhang, Yapeng Chen, Yuhua Qian
2022	J	`jnl`	Sparse Regularized Correlation Filter for UAV Object Tracking with adaptive Contextual Learning and Keyfilter Selection. CoRR Zhangjian Ji, Kai Feng, Yuhua Qian, Jiye Liang
2019	J	`jnl`	Part-based visual tracking via structural support correlation filter. J. Vis. Commun. Image Represent. Zhangjian Ji, Kai Feng, Yuhua Qian
2019	J	`jnl`	Subnetwork reliability analysis in k-ary n-cubes. Discret. Appl. Math. Kai Feng, Zhangjian Ji, Wei Wei
2018	J	`jnl`	Correlation filter tracker based on sparse regularization. J. Vis. Commun. Image Represent. Zhangjian Ji, Weiqiang Wang
2018	J	`jnl`	Part-based Visual Tracking via Structural Support Correlation Filter. CoRR Zhangjian Ji, Kai Feng, Yuhua Qian
2016	A	`conf`	High-order directional features and sparse representation based classification for in-air handwritten Chinese character recognition. ICME Xiwen Qu, Weiqiang Wang, Ke Lu, Zhangjian Ji
2015	J	`jnl`	Object tracking based on local dynamic sparse model. J. Vis. Commun. Image Represent. Zhangjian Ji, Weiqiang Wang
2015	B	`conf`	Robustly tracking objects via multi-task kernel dynamic sparse model. ICIP Zhangjian Ji, Weiqiang Wang, Ke Lu
2014	J	`jnl`	Detect foreground objects via adaptive fusing model in a hybrid feature space. Pattern Recognit. Zhangjian Ji, Weiqiang Wang
2014	A	`conf`	Robust object tracking via incremental subspace dynamic sparse model. ICME Zhangjian Ji, Weiqiang Wang, Ning Xu
2014	B	`conf`	Robust object tracking via multi-task dynamic sparse model. ICIP Zhangjian Ji, Weiqiang Wang
2013	B	`conf`	Extract foreground objects based on sparse model of spatiotemporal spectrum. ICIP Zhangjian Ji, Weiqiang Wang, Ke Lu
2013	B	`conf`	Foreground Detection Utilizing Structured Sparse Model via l1, 2 Mixed Norms. SMC Zhangjian Ji, Weiqiang Wang, Ke Lv

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.