Feiyu Pan - RankMe

16 papers A* 1A 1C 1Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LakeMLB: Data Lake Machine Learning Benchmark. CoRR Feiyu Pan, Tianbin Zhang, Aoqian Zhang, Yu Sun, Zheng Wang, Lixing Chen, Li Pan, Jianhua Li
2025	A	`conf`	Context-Enhanced Zero-Shot Video Temporal Grounding with Adaptive Boundary Refinement. ICME Fangkai Li, Hao Hu, Feiyu Pan, Yanzhen Wang, Yiyou Guo, Xiankai Lu
2025	J	`jnl`	Cross-graph meta matching correction for noisy graph matching. Comput. Vis. Image Underst. Fangkai Li, Feiyu Pan, Wenjia Meng, Haoliang Sun, Xiushan Nie, Yilong Yin, Xiankai Lu
2025	J	`jnl`	Intuitive control of supernumerary robotic limbs through a tactile-encoded neural interface. CoRR Tianyu Jia, Xingchen Yang, Ciarán McGeady, Yifeng Li, Jinzhi Lin, Kit San Ho, Feiyu Pan, Linhong Ji, Chong Li, Dario Farina
2025	A*	`conf`	Semantic and Sequential Alignment for Referring Video Object Segmentation. CVPR Feiyu Pan, Hao Fang, Fangkai Li, Yanyu Xu, Yawei Li, Luca Benini, Xiankai Lu
2024	J	`jnl`	3rd Place Solution for MeViS Track in CVPR 2024 PVUW workshop: Motion Expression guided Video Segmentation. CoRR Feiyu Pan, Hao Fang, Xiankai Lu
2024	—	`conf`	A Review of Human Mesh Reconstruction: Beyond 2D Video Object Segmentation. ICSR + InnoBiz Peng Wu, Zhicheng Wang, Feiyu Pan, Fangkai Li, Hao Hu, Xiankai Lu, Yiyou Guo
2024	C	`conf`	Combined Lateral-Longitudinal Vehicle Trajectory Tracking Control Based on Model Predictive Control and Fractional-Order PID. INDIN Keyong Shao, Feiyu Pan, Na Yi, Yang Han
2024	—	`conf`	Enhancing Motor Learning Performance by Incorporating Brain-to-brain Coupling with Affective Interaction. EMBC Feiyu Pan, Tianyu Jia, Jingyao Sun, Annie Yan Wang, Linhong Ji, Chong Li
2024	—	`conf`	LSVOS Challenge Report: Large-Scale Complex and Long Video Object Segmentation. ECCV Workshops (10) Henghui Ding, Lingyi Hong, Chang Liu, Ning Xu, Linjie Yang, Yuchen Fan, Deshui Miao, Yameng Gu, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Jinming Chai, Qin Ma, Junpei Zhang, Licheng Jiao, Fang Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Xu Liu, Lingling Li, Hao Fang, Feiyu Pan, Xiankai Lu, Wei Zhang, Runmin Cong, Tuyen Tran, Bin Cao, Yisi Zhang, Hanyi Wang, Xingjian He, Jing Liu
2024	J	`jnl`	LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation. CoRR Henghui Ding, Lingyi Hong, Chang Liu, Ning Xu, Linjie Yang, Yuchen Fan, Deshui Miao, Yameng Gu, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Jinming Chai, Qin Ma, Junpei Zhang, Licheng Jiao, Fang Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Xu Liu, Lingling Li, Hao Fang, Feiyu Pan, Xiankai Lu, Wei Zhang, Runmin Cong, Tuyen Tran, Bin Cao, Yisi Zhang, Hanyi Wang, Xingjian He, Jing Liu
2024	—	`conf`	PVUW 2024 Challenge on Complex Video Understanding: Methods and Results. ECCV Workshops (10) Henghui Ding, Chang Liu, Yunchao Wei, Nikhila Ravi, Shuting He, Song Bai, Philip Torr, Deshui Miao, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Zhensong Xu, Jiangtao Yao, Chengjing Wu, Ting Liu, Luoqi Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Licheng Jiao, Shuyuan Yang, Mingqi Gao, Jingnan Luo, Jinyu Yang, Jungong Han, Feng Zheng, Bin Cao, Yisi Zhang, Xuanxu Lin, Xingjian He, Bo Zhao, Jing Liu, Feiyu Pan, Hao Fang, Xiankai Lu
2024	J	`jnl`	PVUW 2024 Challenge on Complex Video Understanding: Methods and Results. CoRR Henghui Ding, Chang Liu, Yunchao Wei, Nikhila Ravi, Shuting He, Song Bai, Philip Torr, Deshui Miao, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Zhensong Xu, Jiangtao Yao, Chengjing Wu, Ting Liu, Luoqi Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Licheng Jiao, Shuyuan Yang, Mingqi Gao, Jingnan Luo, Jinyu Yang, Jungong Han, Feng Zheng, Bin Cao, Yisi Zhang, Xuanxu Lin, Xingjian He, Bo Zhao, Jing Liu, Feiyu Pan, Hao Fang, Xiankai Lu
2024	J	`jnl`	UNINEXT-Cutie: The 1st Solution for LSVOS Challenge RVOS Track. CoRR Hao Fang, Feiyu Pan, Xiankai Lu, Wei Zhang, Runmin Cong
2024	J	`jnl`	Video Object Segmentation via SAM 2: The 4th Solution for LSVOS Challenge VOS Track. CoRR Feiyu Pan, Hao Fang, Runmin Cong, Wei Zhang, Xiankai Lu
2014	J	`jnl`	Single-image super-resolution reconstruction based on global non-zero gradient penalty and non-local Laplacian sparse coding. Digit. Signal Process. Jinming Li, Weiguo Gong, Weihong Li, Feiyu Pan

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.