Faegheh Sardari

21 papers A* 1A 2B 1Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Effective-Efficient Approach for Dense Multi-Label Action Detection. Int. J. Comput. Vis. Faegheh Sardari, Armin Mustafa, Philip J. B. Jackson, Adrian Hilton
2025	J	`jnl`	Deconstruct Complexity (DeComplex): A Novel Perspective on Tackling Dense Action Detection. CoRR Faegheh Sardari, Armin Mustafa, Philip J. B. Jackson, Adrian Hilton
2025	J	`jnl`	DocSLM: A Small Vision-Language Model for Long Multimodal Document Understanding. CoRR Tanveer Hannan, Dimitrios Mallios, Parth Pathak, Faegheh Sardari, Thomas Seidl, Gedas Bertasius, Mohsen Fayyaz, Sunando Sengupta
2025	A*	`conf`	NarrativeBridge: Enhancing Video Captioning with Causal-Temporal Narrative. ICLR Asmar Nadeem, Faegheh Sardari, Robert Dawes, Syed Sameed Husain, Adrian Hilton, Armin Mustafa
2025	J	`jnl`	TEn-CATS: Text-Enriched Audio-Visual Video Parsing with Multi-Scale Category-Aware Temporal Graph. CoRR Yaru Chen, Faegheh Sardari, Peiliang Zhang, Ruohao Guo, Yang Xiang, Zhenbo Li, Wenwu Wang
2025	B	`conf`	TeMTG: Text-Enhanced Multi-Hop Temporal Graph Modeling for Audio-Visual Video Parsing. ICMR Yaru Chen, Peiliang Zhang, Fei Li, Faegheh Sardari, Ruohao Guo, Zhenbo Li, Wenwu Wang
2025	J	`jnl`	TeMTG: Text-Enhanced Multi-Hop Temporal Graph Modeling for Audio-Visual Video Parsing. CoRR Yaru Chen, Peiliang Zhang, Fei Li, Faegheh Sardari, Ruohao Guo, Zhenbo Li, Wenwu Wang
2024	J	`jnl`	An Effective-Efficient Approach for Dense Multi-Label Action Detection. CoRR Faegheh Sardari, Armin Mustafa, Philip J. B. Jackson, Adrian Hilton
2024	—	`conf`	CoLeaF: A Contrastive-Collaborative Learning Framework for Weakly Supervised Audio-Visual Video Parsing. ECCV (11) Faegheh Sardari, Armin Mustafa, Philip J. B. Jackson, Adrian Hilton
2024	J	`jnl`	CoLeaF: A Contrastive-Collaborative Learning Framework for Weakly Supervised Audio-Visual Video Parsing. CoRR Faegheh Sardari, Armin Mustafa, Philip J. B. Jackson, Adrian Hilton
2024	A	`conf`	ForecasterFlexOBM: A Multi-View Audio-Visual Dataset for Flexible Object-Based Media Production. ICME Davide Berghi, Craig Cieciura, Farshad Einabadi, Maxine Glancy, Oliver C. Camilleri, Philip Foster, Asmar Nadeem, Faegheh Sardari, Jinzheng Zhao, Marco Volino, Armin Mustafa, Philip J. B. Jackson, Adrian Hilton
2024	J	`jnl`	NarrativeBridge: Enhancing Video Captioning with Causal-Temporal Narrative. CoRR Asmar Nadeem, Faegheh Sardari, Robert Dawes, Syed Sameed Husain, Adrian Hilton, Armin Mustafa
2023	—	`conf`	PAT: Position-Aware Transformer for Dense Multi-Label Action Detection. ICCV (Workshops) Faegheh Sardari, Armin Mustafa, Philip J. B. Jackson, Adrian Hilton
2023	J	`jnl`	PAT: Position-Aware Transformer for Dense Multi-Label Action Detection. CoRR Faegheh Sardari, Armin Mustafa, Philip J. B. Jackson, Adrian Hilton
2021	A	`conf`	Unsupervised View-Invariant Human Posture Representation. BMVC Faegheh Sardari, Björn Ommer, Majid Mirmehdi
2021	J	`jnl`	Unsupervised View-Invariant Human Posture Representation. CoRR Faegheh Sardari, Björn Ommer, Majid Mirmehdi
2020	J	`jnl`	VI-Net - View-Invariant Quality of Human Movement Assessment. Sensors Faegheh Sardari, Adeline Paiement, Sion L. Hannuna, Majid Mirmehdi
2020	J	`jnl`	VI-Net: View-Invariant Quality of Human Movement Assessment. CoRR Faegheh Sardari, Adeline Paiement, Sion L. Hannuna, Majid Mirmehdi
2019	—	`conf`	View-Invariant Pose Analysis for Human Movement Assessment from RGB Data. ICIAP (2) Faegheh Sardari, Adeline Paiement, Majid Mirmehdi
2017	J	`jnl`	A hybrid occlusion free object tracking method using particle filter and modified galaxy based search meta-heuristic algorithm. Appl. Soft Comput. Faegheh Sardari, Mohsen Ebrahimi Moghaddam
2016	J	`jnl`	An object tracking method using modified galaxy-based search algorithm. Swarm Evol. Comput. Faegheh Sardari, Mohsen Ebrahimi Moghaddam

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.