Rajendra Nagar

28 papers A* 1A 1Misc 1Journal 16Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Robust extrinsic symmetry estimation in 3D point clouds. Vis. Comput. Rajendra Nagar
2025	J	`jnl`	Spectrum Alignment for Robust 3D Point Cloud Correspondences Estimation. IEEE Trans. Vis. Comput. Graph. Deepanshu Singh Solanki, Rajendra Nagar
2024	—	`conf`	CCNDF: Curvature Constrained Neural Distance Fields from 3D LiDAR Sequences. ACCV (9) Akshit Singh, Karan Bhakuni, Rajendra Nagar
2024	J	`jnl`	CCNDF: Curvature Constrained Neural Distance Fields from 3D LiDAR Sequences. CoRR Akshit Singh, Karan Bhakuni, Rajendra Nagar
2024	A*	`conf`	LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions. AAAI Atharva Pandey, Vishal Yadav, Rajendra Nagar, Santanu Chaudhury
2024	J	`jnl`	LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions. CoRR Atharva Pandey, Vishal Yadav, Rajendra Nagar, Santanu Chaudhury
2024	J	`jnl`	Learning vision-based robotic manipulation tasks sequentially in offline reinforcement learning settings. Robotica Sudhir Pratap Yadav, Rajendra Nagar, Suril Vijaykumar Shah
2023	J	`jnl`	Learning Vision-based Robotic Manipulation Tasks Sequentially in Offline Reinforcement Learning Settings. CoRR Sudhir Pratap Yadav, Rajendra Nagar, Suril Vijaykumar Shah
2022	—	`conf`	Data Driven Estimation of Covid-19 Prognosis. ISBI Harshit Sharma, Rajendra Nagar, Deepak Mishra
2022	A	`conf`	RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly. WACV Abhinav Narayan Harish, Rajendra Nagar, Shanmuganathan Raman
2021	—	`conf`	Learning-based Approach for Estimation of Axis of Rotation for Markerless Visual Servoing to Tumbling Object. AIR Siddhant Saoji, Dhruv Krishna, Vipul Sanap, Rajendra Nagar, Suril Vijaykumar Shah
2021	J	`jnl`	RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly. CoRR Abhinav Narayan Harish, Rajendra Nagar, Shanmuganathan Raman
2021	J	`jnl`	Robust Estimation of Reflection Symmetry in Noisy and Partial 3D Point Clouds. CoRR Rajendra Nagar
2020	J	`jnl`	3DSymm: Robust and Accurate 3D Reflection Symmetry Detection. Pattern Recognit. Rajendra Nagar, Shanmuganathan Raman
2019	J	`jnl`	Detecting Approximate Reflection Symmetry in a Point Set Using Optimization on Manifold. IEEE Trans. Signal Process. Rajendra Nagar, Shanmuganathan Raman
2019	—	`conf`	Fast Semantic Feature Extraction Using Superpixels for Soft Segmentation. CVIP (1) Shashikant Verma, Rajendra Nagar, Shanmuganathan Raman
2019	Misc	`conf`	Reflection Symmetry Detection by Embedding Symmetry in a Graph. ICASSP Rajendra Nagar, Shanmuganathan Raman
2019	J	`jnl`	Reflection symmetry aware image retargeting. Pattern Recognit. Lett. Diptiben Patel, Rajendra Nagar, Shanmuganathan Raman
2019	—	`conf`	Unsupervised GIST based Clustering for Object Localization. NCC Saprem Shah, Kunal Khatri, Purva Mhasakar, Rajendra Nagar, Shanmuganathan Raman
2018	—	`conf`	Fast and Accurate Intrinsic Symmetry Detection. ECCV (1) Rajendra Nagar, Shanmuganathan Raman
2018	J	`jnl`	Fast and Accurate Intrinsic Symmetry Detection. CoRR Rajendra Nagar, Shanmuganathan Raman
2018	J	`jnl`	SymmSLIC: Symmetry Aware Superpixel Segmentation and its Applications. CoRR Rajendra Nagar, Shanmuganathan Raman
2017	J	`jnl`	Approximate Reflection Symmetry in a Point Set: Theory and Algorithm with an Application. CoRR Rajendra Nagar, Shanmuganathan Raman
2017	J	`jnl`	Reflection Symmetry Axes Detection Using Multiple Model Fitting. IEEE Signal Process. Lett. Rajendra Nagar, Shanmuganathan Raman
2017	—	`conf`	SymmMap: Estimation of the 2-D Reflection Symmetry Map and Its Applications. ICCV Workshops Rajendra Nagar, Shanmuganathan Raman
2017	—	`conf`	SymmSLIC: Symmetry Aware Superpixel Segmentation. ICCV Workshops Rajendra Nagar, Shanmuganathan Raman
2016	J	`jnl`	Revealing Hidden 3-D Reflection Symmetry. IEEE Signal Process. Lett. Rajendra Nagar, Shanmuganathan Raman
2015	—	`conf`	Saliency guided adaptive image abstraction. NCVPRIPG Rajendra Nagar, Shanmuganathan Raman

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.