Ramzi Idoughi - RankMe

20 papers A* 3B 2Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Any Resolution Any Geometry: From Multi-View To Multi-Patch. CoRR Wenqing Cui, Zhenyu Li, Mykola Lavreniuk, Jian Shi, Ramzi Idoughi, Xiangjun Tang, Peter Wonka
2025	J	`jnl`	No Mesh, No Problem: Estimating Coral Volume and Surface from Sparse Multi-View Images. CoRR Diego Eustachio Farchione, Ramzi Idoughi, Peter Wonka
2024	J	`jnl`	HDNet: Physics-Inspired Neural Network for Flow Estimation based on Helmholtz Decomposition. CoRR Miao Qi, Ramzi Idoughi, Wolfgang Heidrich
2023	A*	`conf`	Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction. NeurIPS Yuanhao Wang, Ramzi Idoughi, Wolfgang Heidrich
2022	B	`conf`	Joint Motion-Correction and Reconstruction in Cryo-Em Tomography. ICIP Yuanhao Wang, Ramzi Idoughi, Wolfgang Heidrich
2022	J	`jnl`	NeAT: Neural Adaptive Tomography. CoRR Darius Rückert, Yuanhao Wang, Rui Li, Ramzi Idoughi, Wolfgang Heidrich
2022	J	`jnl`	NeAT: neural adaptive tomography. ACM Trans. Graph. Darius Rückert, Yuanhao Wang, Rui Li, Ramzi Idoughi, Wolfgang Heidrich
2022	J	`jnl`	Neural Adaptive SCEne Tracing. CoRR Rui Li, Darius Rückert, Yuanhao Wang, Ramzi Idoughi, Wolfgang Heidrich
2022	—	`conf`	Neural Adaptive Scene Tracing (NAScenT). VMV Rui Li, Darius Rückert, Yuanhao Wang, Ramzi Idoughi, Wolfgang Heidrich
2021	A*	`conf`	IntraTomo: Self-supervised Learning-based Tomography via Sinogram Synthesis and Prediction. ICCV Guangming Zang, Ramzi Idoughi, Rui Li, Peter Wonka, Wolfgang Heidrich
2021	—	`conf`	Non-Linear Anisotropic Diffusion for Memory-Efficient Computed Tomography Super-Resolution Reconstruction. 3DV Khaled Abujbara, Ramzi Idoughi, Wolfgang Heidrich
2020	—	`conf`	Stereo Event-Based Particle Tracking Velocimetry for 3D Fluid Flow Reconstruction. ECCV (29) Yuanhao Wang, Ramzi Idoughi, Wolfgang Heidrich
2020	A*	`conf`	TomoFluid: Reconstructing Dynamic Fluid From Sparse View Videos. CVPR Guangming Zang, Ramzi Idoughi, Congli Wang, Anthony Bennett, Jianguo Du, Scott Skeen, William L. Roberts, Peter Wonka, Wolfgang Heidrich
2019	J	`jnl`	Contribution to Sandy Site Characterization: Spectro-Directional Signature, Grain Size Distribution and Mineralogy Extracted from Sand Samples. Remote. Sens. Françoise Viallefont-Robinet, Cédric Bacour, Marc Bouvet, Malika Kheireddine, Mustapha Ouhssain, Ramzi Idoughi, Léo Grignon, Eric Munesa, François Lemaître, Thomas Rivière
2019	J	`jnl`	Warp-and-project tomography for rapidly deforming objects. ACM Trans. Graph. Guangming Zang, Ramzi Idoughi, Ran Tao, Gilles Lubineau, Peter Wonka, Wolfgang Heidrich
2018	B	`conf`	Reconfigurable rainbow PIV for 3D flow measurement. ICCP Jinhui Xiong, Qiang Fu, Ramzi Idoughi, Wolfgang Heidrich
2018	J	`jnl`	Space-time tomography for continuously deforming objects. ACM Trans. Graph. Guangming Zang, Ramzi Idoughi, Ran Tao, Gilles Lubineau, Peter Wonka, Wolfgang Heidrich
2018	—	`conf`	Super-Resolution and Sparse View CT Reconstruction. ECCV (16) Guangming Zang, Mohamed Aly, Ramzi Idoughi, Peter Wonka, Wolfgang Heidrich
2017	J	`jnl`	Rainbow particle imaging velocimetry for dense 3D fluid velocity imaging. ACM Trans. Graph. Jinhui Xiong, Ramzi Idoughi, Andres A. Aguirre-Pablo, Abdulrahman B. Aljedaani, Xiong Dun, Qiang Fu, Sigurdur T. Thoroddsen, Wolfgang Heidrich
2014	—	`conf`	A non-linear optimal estimator for plume concentration retrieval, using airborne hyperspectral measurement. WHISPERS Ramzi Idoughi, Pierre-Yves Foucher, Marc-Andre Gagnon, Laurent Poutier, Véronique Achard, Xavier Briottet

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.