Raghudeep Gadde

23 papers A* 7A 2Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers. CoRR Dahye Kim, Deepti Ghadiyaram, Raghudeep Gadde
2026	J	`jnl`	FlowFixer: Towards Detail-Preserving Subject-Driven Generation. CoRR Jinyoung Jun, Won-Dong Jang, Wenbin Ouyang, Raghudeep Gadde, Jungbeom Lee
2025	J	`jnl`	Disentanglement in T-space for Faster and Distributed Training of Diffusion Models with Fewer Latent-states. CoRR Samarth Gupta, Raghudeep Gadde, Rui Chen, Aleix M. Martínez
2024	A	`conf`	LatentPaint: Image Inpainting in Latent Space with Diffusion Models. WACV Ciprian A. Corneanu, Raghudeep Gadde, Aleix M. Martínez
2023	A*	`conf`	Network-Free, Unsupervised Semantic Segmentation with Synthetic Images. CVPR Qianli Feng, Raghudeep Gadde, Wentong Liao, Eduard Ramon, Aleix Martinez
2022	J	`jnl`	Near Perfect GAN Inversion. CoRR Qianli Feng, Viraj Shah, Raghudeep Gadde, Pietro Perona, Aleix Martinez
2022	J	`jnl`	Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features. CoRR Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona
2022	—	`conf`	Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features. ECCV (17) Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona
2021	A*	`conf`	Detail Me More: Improving GAN's photo-realism of complex scenes. ICCV Raghudeep Gadde, Qianli Feng, Aleix M. Martínez
2018	J	`jnl`	Efficient 2D and 3D Facade Segmentation Using Auto-Context. IEEE Trans. Pattern Anal. Mach. Intell. Raghudeep Gadde, Varun Jampani, Renaud Marlet, Peter V. Gehler
2017	—	`—`	Semantic Segmentation of Highly Structured and Weakly Structured Images. (Segmentation sémantique d'images fortement structurées et faiblement structurées). Raghudeep Gadde
2017	A*	`conf`	Semantic Video CNNs Through Representation Warping. ICCV Raghudeep Gadde, Varun Jampani, Peter V. Gehler
2017	J	`jnl`	Semantic Video CNNs through Representation Warping. CoRR Raghudeep Gadde, Varun Jampani, Peter V. Gehler
2017	A*	`conf`	Video Propagation Networks. CVPR Varun Jampani, Raghudeep Gadde, Peter V. Gehler
2016	J	`jnl`	Efficient 2D and 3D Facade Segmentation using Auto-Context. CoRR Raghudeep Gadde, Varun Jampani, Renaud Marlet, Peter V. Gehler
2016	J	`jnl`	Learning Grammars for Architecture-Specific Facade Parsing. Int. J. Comput. Vis. Raghudeep Gadde, Renaud Marlet, Nikos Paragios
2016	—	`conf`	Superpixel Convolutional Networks Using Bilateral Inceptions. ECCV (1) Raghudeep Gadde, Varun Jampani, Martin Kiefel, Daniel Kappler, Peter V. Gehler
2016	J	`jnl`	Video Propagation Networks. CoRR Varun Jampani, Raghudeep Gadde, Peter V. Gehler
2015	A*	`conf`	A MRF shape prior for facade parsing with occlusions. CVPR Mateusz Kozinski, Raghudeep Gadde, Sergey Zagoruyko, Guillaume Obozinski, Renaud Marlet
2015	A	`conf`	Efficient Facade Segmentation Using Auto-context. WACV Varun Jampani, Raghudeep Gadde, Peter V. Gehler
2015	J	`jnl`	Superpixel Convolutional Networks using Bilateral Inceptions. CoRR Raghudeep Gadde, Varun Jampani, Martin Kiefel, Peter V. Gehler
2012	A*	`conf`	MoViMash: online mobile video mashup. ACM Multimedia Mukesh Kumar Saini, Raghudeep Gadde, Shuicheng Yan, Wei Tsang Ooi
2011	A*	`conf`	Aesthetic Guideline Driven Photography by Robots. IJCAI Raghudeep Gadde, Kamalakar Karlapalem

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.