Dan Su

14 papers A* 1A 4C 1Journal 4Unranked 4

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Cross-Validated Locally Polynomial Modeling for 2-D/3-D Gaze Tracking With Head-Worn Devices. IEEE Trans. Ind. Informatics Dan Su, Youfu Li, Hao Chen
2020	J	`jnl`	Discriminative Cross-Modal Transfer Learning and Densely Cross-Level Feedback Fusion for RGB-D Salient Object Detection. IEEE Trans. Cybern. Hao Chen, Youfu Li, Dan Su
2019	A	`conf`	DISR: Deep Infrared Spectral Restoration Algorithm for Robot Sensing and Intelligent Visual Tracking Systems. IROS Hai Liu, Youfu Li, Dan Su, Zhaoli Zhang, Sannyuya Liu, Tingting Liu
2019	J	`jnl`	Multi-modal fusion network with multi-scale multi-path and cross-modal interactions for RGB-D salient object detection. Pattern Recognit. Hao Chen, Youfu Li, Dan Su
2019	A	`conf`	Region-wise Polynomial Regression for 3D Mobile Gaze Estimation. IROS Dan Su, Youfu Li, Hao Chen
2019	J	`jnl`	Toward Precise Gaze Estimation for Mobile Head-Mounted Gaze Tracking Systems. IEEE Trans. Ind. Informatics Dan Su, Youfu Li, Hao Chen
2018	A	`conf`	Attention-Aware Cross-Modal Cross-Level Fusion Network for RGB-D Salient Object Detection. IROS Hao Chen, Youfu Li, Dan Su
2017	—	`conf`	Automatic threshold selection for valid points detection in digital fringe projection. ICIA Yi Xiao, Youfu Li, Dan Su
2017	A*	`conf`	Development of precise mobile gaze tracking system based on online sparse Gaussian process regression and smooth-pursuit identification. ICRA Dan Su, Youfu Li
2017	A	`conf`	M IROS Hao Chen, You-Fu Li, Dan Su
2017	—	`conf`	Precise gaze estimation for mobile gaze trackers based on hybrid two-view geometry. ROBIO Dan Su, Youfu Li, Yao Guo
2017	C	`conf`	RGB-D Saliency Detection by Multi-stream Late Fusion Network. ICVS Hao Chen, Youfu Li, Dan Su
2016	—	`conf`	Parallax error compensation for head-mounted gaze trackers based on binocular data. RCAR Dan Su, Youfu Li, Caihua Xiong
2016	—	`conf`	Toward flexible calibration of head-mounted gaze trackers with parallax error compensation. ROBIO Dan Su, Youfu Li

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.