Laura Fink - RankMe

17 papers A* 4Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fus3D: Decoding Consolidated 3D Geometry from Feed-forward Geometry Transformer Latents. CoRR Laura Fink, Linus Franke, George Kopanas, Marc Stamminger, Peter Hedman
2025	J	`jnl`	VR-Splatting: Foveated Radiance Field Rendering via 3D Gaussian Splatting and Neural Points. Proc. ACM Comput. Graph. Interact. Tech. Linus Franke, Laura Fink, Marc Stamminger
2024	J	`jnl`	Refinement of Monocular Depth Maps via Multi-View Differentiable Rendering. CoRR Laura Fink, Linus Franke, Joachim Keinert, Marc Stamminger
2024	J	`jnl`	TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering. Comput. Graph. Forum Linus Franke, Darius Rückert, Laura Fink, Marc Stamminger
2024	J	`jnl`	TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering. CoRR Linus Franke, Darius Rückert, Laura Fink, Marc Stamminger
2024	J	`jnl`	VR-Splatting: Foveated Radiance Field Rendering via 3D Gaussian Splatting and Neural Points. CoRR Linus Franke, Laura Fink, Marc Stamminger
2023	J	`jnl`	Efficient Rendering for Light Field Displays using Tailored Projective Mappings. Proc. ACM Comput. Graph. Interact. Tech. Laura Fink, Svenja Strobel, Linus Franke, Marc Stamminger
2023	A*	`conf`	Inovis: Instant Novel-View Synthesis. SIGGRAPH Asia Mathias Harrer, Linus Franke, Laura Fink, Marc Stamminger, Tim Weyrich
2023	A*	`conf`	LiveNVS: Neural View Synthesis on Live RGB-D Streams. SIGGRAPH Asia Laura Fink, Darius Rückert, Linus Franke, Joachim Keinert, Marc Stamminger
2023	J	`jnl`	LiveNVS: Neural View Synthesis on Live RGB-D Streams. CoRR Laura Fink, Darius Rückert, Linus Franke, Joachim Keinert, Marc Stamminger
2023	—	`conf`	UniTorch - Integrating Neural Rendering into Unity. ISVC (1) Laura Fink, Daniel Keitel, Marc Stamminger, Joachim Keinert
2023	A*	`conf`	VET: Visual Error Tomography for Point Cloud Completion and High-Quality Neural Rendering. SIGGRAPH Asia Linus Franke, Darius Rückert, Laura Fink, Matthias Innmann, Marc Stamminger
2023	J	`jnl`	VET: Visual Error Tomography for Point Cloud Completion and High-Quality Neural Rendering. CoRR Linus Franke, Darius Rückert, Laura Fink, Matthias Innmann, Marc Stamminger
2021	J	`jnl`	Time-Warped Foveated Rendering for Virtual Reality Headsets. Comput. Graph. Forum Linus Franke, Laura Fink, Jana Martschinke, Kai Selgrad, Marc Stamminger
2019	A*	`conf`	Hybrid Mono-Stereo Rendering in Virtual Reality. VR Laura Fink, Nora Hensel, Daniela Markov-Vetter, Christoph Weber, Oliver G. Staadt, Marc Starnrninqer
2019	—	`conf`	LumiPath - Towards Real-Time Physically-Based Rendering on Embedded Devices. MICCAI (5) Laura Fink, Sing Chun Lee, Jie Ying Wu, Xingtong Liu, Tianyu Song, Yordanka Velikova, Marc Stamminger, Nassir Navab, Mathias Unberath
2019	J	`jnl`	LumiPath - Towards Real-time Physically-based Rendering on Embedded Devices. CoRR Laura Fink, Sing Chun Lee, Marc Stamminger, Nassir Navab, Mathias Unberath

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.