Abhinav Rajvanshi

16 papers A* 4A 3Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DUDA: Distilled Unsupervised Domain Adaptation for Lightweight Semantic Segmentation. CoRR Beomseok Kang, Niluthpol Chowdhury Mithun, Abhinav Rajvanshi, Han-Pang Chiu, Supun Samarasekera
2025	A*	`conf`	Graph2Nav: 3D Object-Relation Graph Generation to Robot Navigation. ICRA Tixiao Shan, Abhinav Rajvanshi, Niluthpol Chowdhury Mithun, Han-Pang Chiu
2025	J	`jnl`	Graph2Nav: 3D Object-Relation Graph Generation to Robot Navigation. CoRR Tixiao Shan, Abhinav Rajvanshi, Niluthpol Chowdhury Mithun, Han-Pang Chiu
2025	J	`jnl`	SayCoNav: Utilizing Large Language Models for Adaptive Collaboration in Decentralized Multi-Robot Navigation. CoRR Abhinav Rajvanshi, Pritish Sahu, Tixiao Shan, Karan Sikka, Han-Pang Chiu
2024	A*	`conf`	SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments. ICAPS Abhinav Rajvanshi, Karan Sikka, Xiao Lin, Bhoram Lee, Han-Pang Chiu, Alvaro Velasquez
2024	A	`conf`	Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement. WACV Xingchen Zhao, Niluthpol Chowdhury Mithun, Abhinav Rajvanshi, Han-Pang Chiu, Supun Samarasekera
2023	A*	`conf`	C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation. CVPR Nazmul Karim, Niluthpol Chowdhury Mithun, Abhinav Rajvanshi, Han-Pang Chiu, Supun Samarasekera, Nazanin Rahnavard
2023	J	`jnl`	C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation. CoRR Nazmul Karim, Niluthpol Chowdhury Mithun, Abhinav Rajvanshi, Han-Pang Chiu, Supun Samarasekera, Nazanin Rahnavard
2023	J	`jnl`	SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments. CoRR Abhinav Rajvanshi, Karan Sikka, Xiao Lin, Bhoram Lee, Han-Pang Chiu, Alvaro Velasquez
2023	J	`jnl`	Uncertainty Propagation through Trained Deep Neural Networks Using Factor Graphs. CoRR Angel Daruna, Yunye Gong, Abhinav Rajvanshi, Han-Pang Chiu, Yi Yao
2023	J	`jnl`	Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement. CoRR Xingchen Zhao, Niluthpol Chowdhury Mithun, Abhinav Rajvanshi, Han-Pang Chiu, Supun Samarasekera
2022	—	`conf`	Autonomous Docking Using Learning-Based Scene Segmentation in Underground Mine Environments. SSRR Abhinav Rajvanshi, Alex Krasner, Mikhail Sizintsev, Han-Pang Chiu, Joseph Sottile, Zach Agioutantis, Steven Schafrik, Jimmy Rose
2022	A	`conf`	Ranging-Aided Ground Robot Navigation Using UWB Nodes at Unknown Locations. IROS Abhinav Rajvanshi, Han-Pang Chiu, Alex Krasner, Mikhail Sizintsev, Glenn Murray, Supun Samarasekera
2022	A	`conf`	SIGNAV: Semantically-Informed GPS-Denied Navigation and Mapping in Visually-Degraded Environments. WACV Alex Krasner, Mikhail Sizintsev, Abhinav Rajvanshi, Han-Pang Chiu, Niluthpol Chowdhury Mithun, Kevin Kaighn, Phillip Miller, Ryan Villamil, Supun Samarasekera
2019	—	`conf`	Multi-Sensor Fusion for Motion Estimation in Visually-Degraded Environments. SSRR Mikhail Sizintsev, Abhinav Rajvanshi, Han-Pang Chiu, Kevin Kaighn, Supun Samarasekera, David P. Snyder
2017	A*	`conf`	Proton 2: Increasing the sensitivity and portability of a visuo-haptic surface interaction recorder. ICRA Alex Burka, Abhinav Rajvanshi, Sarah Allen, Katherine J. Kuchenbecker

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.