Laurent Caraffa

21 papers A* 1B 2C 1Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BEDS : Bayesian Emergent Dissipative Structures : A Formal Framework for Continuous Inference Under Energy Constraints. CoRR Laurent Caraffa
2026	J	`jnl`	Dissipative Learning: A Framework for Viable Adaptive Systems. CoRR Laurent Caraffa
2026	J	`jnl`	Thermodynamically Optimal Regularization under Information-Geometric Constraints. CoRR Laurent Caraffa
2025	A*	`conf`	Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder. ICLR Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jérémie Mary, Andrew I. Comport, Valérie Gouet-Brunet
2025	C	`conf`	DSI-3D: Differentiable Search Index for Point Clouds Retrieval. CBMI Chahine-Nicolas Zede, Laurent Caraffa, Valérie Gouet-Brunet
2025	J	`jnl`	Pointmap-Conditioned Diffusion for Consistent Novel View Synthesis. CoRR Thang-Anh-Quan Nguyen, Nathan Piasco, Luis Roldão, Moussâb Bennehar, Dzmitry Tsishkou, Laurent Caraffa, Jean-Philippe Tarel, Roland Brémond
2025	J	`jnl`	RefinedFields: Radiance Fields Refinement for Planar Scene Representations. Trans. Mach. Learn. Res. Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa, Jérémie Mary, Valérie Gouet-Brunet
2024	J	`jnl`	Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder. CoRR Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jérémie Mary, Andrew I. Comport, Valérie Gouet-Brunet
2024	J	`jnl`	Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes. CoRR Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jérémie Mary, Andrew I. Comport, Valérie Gouet-Brunet
2024	J	`jnl`	Scaled Inverse Graphics: Efficiently Learning Large Sets of 3D Scenes. CoRR Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jérémie Mary, Andrew I. Comport, Valérie Gouet-Brunet
2023	J	`jnl`	EvE: Exploiting Generative Priors for Radiance Field Enrichment. CoRR Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa, Jérémie Mary, Valérie Gouet-Brunet
2021	—	`conf`	Efficiently Distributed Watertight Surface Reconstruction. 3DV Laurent Caraffa, Yanis Marchand, Mathieu Brédif, Bruno Vallet
2019	—	`conf`	Tile & Merge: Distributed Delaunay Triangulations for Cloud Computing. IEEE BigData Laurent Caraffa, Pooran Memari, Murat Yirci, Mathieu Brédif
2016	—	`conf`	3D Watertight Mesh Generation with Uncertainties from Ubiquitous Data. ACCV (4) Laurent Caraffa, Mathieu Brédif, Bruno Vallet
2015	B	`conf`	Extending α-expansion to a larger set of regularization functions. ICIP Mathias Paget, Jean-Philippe Tarel, Laurent Caraffa
2015	J	`jnl`	The Guided Bilateral Filter: When the Joint/Cross Bilateral Filter Becomes Robust. IEEE Trans. Image Process. Laurent Caraffa, Jean-Philippe Tarel, Pierre Charbonnier
2014	J	`jnl`	Combining Stereo and Atmospheric Veil Depth Cues for 3D Reconstruction. IPSJ Trans. Comput. Vis. Appl. Laurent Caraffa, Jean-Philippe Tarel
2013	B	`conf`	Markov Random Field model for single image defogging. Intelligent Vehicles Symposium Laurent Caraffa, Jean-Philippe Tarel
2013	—	`—`	Reconstruction 3D à partir de paires stéréoscopiques en conditions dégradées. (3d reconstruction from stereo pairs degraded Conditions). Laurent Caraffa
2012	—	`conf`	Stereo Reconstruction and Contrast Restoration in Daytime Fog. ACCV (4) Laurent Caraffa, Jean-Philippe Tarel
2012	J	`jnl`	Vision Enhancement in Homogeneous and Heterogeneous Fog. IEEE Intell. Transp. Syst. Mag. Jean-Philippe Tarel, Nicolas Hautière, Laurent Caraffa, Aurélien Cord, Houssam Halmaoui, Dominique Gruyer

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.