Fan Li

13 papers A* 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Human Pose Estimation with General Contact.
Comput. Vis. Media
He Zhang, Jianhui Zhao, Fan Li, Yitian Wu, Chao Tan, Shuangpeng Sun, Yaohua Wu, You Li, Tao Yu
2025 J jnl
Maritime Infrared Ship Detection in AAV Imagery Based on Two-Stage Region-Segmentation-Guided Learning Network.
IEEE Trans. Instrum. Meas.
Jian Fu, Fan Li, Jianhui Zhao, Yongfei Wang, He Zhang
2025 J jnl
Regional Saliency Combined With Morphological Filtering for Infrared Maritime Target Detection in Autonomous Aerial Vehicles Images.
IEEE Trans. Instrum. Meas.
Jian Fu, Fan Li, Jianhui Zhao
2024 J jnl
Bisection Window and Homogeneity Principle- Based Local Contrast Measure for Infrared Sea-Sky Line Detection.
IEEE Geosci. Remote. Sens. Lett.
Jian Fu, Jianhui Zhao, Fan Li, Yongfei Wang, He Zhang
2024 J jnl
CSSLNet: End-to-End One-Stage Network for Curved Infrared Sea-Sky Line Detection.
IEEE Geosci. Remote. Sens. Lett.
Jian Fu, Fan Li, Jianhui Zhao
2024 A* conf
MMVP: A Multimodal MoCap Dataset with Vision and Pressure Sensors.
CVPR
He Zhang, Shenghao Ren, Haolei Yuan, Jianhui Zhao, Fan Li, Shuangpeng Sun, Zhenghao Liang, Tao Yu, Qiu Shen, Xun Cao
2024 J jnl
MMVP: A Multimodal MoCap Dataset with Vision and Pressure Sensors.
CoRR
He Zhang, Shenghao Ren, Haolei Yuan, Jianhui Zhao, Fan Li, Shuangpeng Sun, Zhenghao Liang, Tao Yu, Qiu Shen, Xun Cao
2023 J jnl
Controllable Free Viewpoint Video Reconstruction Based on Neural Radiance Fields and Motion Graphs.
IEEE Trans. Vis. Comput. Graph.
He Zhang, Fan Li, Jianhui Zhao, Chao Tan, Dongming Shen, Yebin Liu, Tao Yu
2023 J jnl
Infrared Small Dim Target Detection Under Maritime Near Sea-Sky Line Based on Regional-Division Local Contrast Measure.
IEEE Geosci. Remote. Sens. Lett.
Jian Fu, Fan Li, Jianhui Zhao, Jie Tong, He Zhang
2023 J jnl
Real-Time Infrared Horizon Detection in Maritime and Land Environments Based on Hyper-Laplace Filter and Convolutional Neural Network.
IEEE Trans. Instrum. Meas.
Jian Fu, Fan Li, Jianhui Zhao
2023 — conf
Robust Self-contact Detection Based on Keypoint Condition and ControlNet-Based Augmentation.
CICAI (1)
He Zhang, Jianhui Zhao, Fan Li, Chao Tan, Shuangpeng Sun
2022 J jnl
Infrared Sea-Sky Line Detection Utilizing Self-Adaptive Laplacian of Gaussian Filter and Visual-Saliency-Based Probabilistic Hough Transform.
IEEE Geosci. Remote. Sens. Lett.
Jian Fu, Jianhui Zhao, Fan Li
2007 — conf
Research on Error Compensation for Oil Drilling Angle Based on ANFIS.
ICIC (2)
Fan Li, Liyan Wang, Jianhui Zhao

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.