Lakshay Sharma

18 papers A* 2A 3B 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Subimage Overlap Prediction: Task-Aligned Self-Supervised Pretraining For Semantic Segmentation In Remote Sensing Imagery. CoRR Lakshay Sharma, Alex Marin
2025	J	`jnl`	Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models. CoRR Isaac Corley, Lakshay Sharma, Ruth Crasto
2025	J	`jnl`	SuoiAI: Building a Dataset for Aquatic Invertebrates in Vietnam. CoRR Tue Vo, Lakshay Sharma, Tuan Dinh, Khuong Dinh, Trang Nguyen, Trung Phan, Minh Do, Duong Vu
2024	J	`jnl`	EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy. IEEE Trans. Robotics Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma, Philip R. Osteen, Bernadette Bucher, Stephen Phillips, Jiuguang Wang, Michael Everett, Nicholas Roy, Jonathan P. How
2024	A*	`conf`	Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification. CVPR Sravanti Addepalli, Ashish Ramayee Asokan, Lakshay Sharma, R. Venkatesh Babu
2024	A	`conf`	Look Before You Leap: Socially Acceptable High-Speed Ground Robot Navigation in Crowded Hallways. IROS Lakshay Sharma, Nicolaniello Buono, Ashton Flather, Xiaoyi Cai, Jonathan P. How
2024	J	`jnl`	Look Before You Leap: Socially Acceptable High-Speed Ground Robot Navigation in Crowded Hallways. CoRR Lakshay Sharma, Jonathan P. How
2023	J	`jnl`	Distilling from Vision-Language Models for Improved OOD Generalization in Vision Tasks. CoRR Sravanti Addepalli, Ashish Ramayee Asokan, Lakshay Sharma, R. Venkatesh Babu
2023	J	`jnl`	EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy. CoRR Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma, Philip R. Osteen, Bernadette Bucher, Stephen Phillips, Jiuguang Wang, Michael Everett, Nicholas Roy, Jonathan P. How
2023	A	`conf`	Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments. IROS Xiaoyi Cai, Michael Everett, Lakshay Sharma, Philip R. Osteen, Jonathan P. How
2023	A*	`conf`	RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation. ICRA Lakshay Sharma, Michael Everett, Donggun Lee, Xiaoyi Cai, Philip R. Osteen, Jonathan P. How
2022	B	`conf`	A Generalized Multimodal Deep Learning Model for Early Crop Yield Prediction. IEEE Big Data Arshveer Kaur, Poonam Goyal, Kartik Sharma, Lakshay Sharma, Navneet Goyal
2022	J	`jnl`	Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments. CoRR Xiaoyi Cai, Michael Everett, Lakshay Sharma, Philip R. Osteen, Jonathan P. How
2022	J	`jnl`	RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation. CoRR Lakshay Sharma, Michael Everett, Donggun Lee, Xiaoyi Cai, Philip R. Osteen, Jonathan P. How
2019	A	`conf`	An assistive low-vision platform that augments spatial cognition through proprioceptive guidance: Point-to-Tell-and-Touch. IROS Wenjun Gui, Bingyu Li, Shuaihang Yuan, John-Ross Rizzo, Lakshay Sharma, Chen Feng, Anthony Tzes, Yi Fang
2019	J	`jnl`	Natural Language Understanding with the Quora Question Pairs Dataset. CoRR Lakshay Sharma, Laura Graesser, Nikita Nangia, Utku Evci
2019	J	`jnl`	Neural Image Captioning. CoRR Elaina Tan, Lakshay Sharma
2017	J	`jnl`	Sentiment Classification using Images and Label Embeddings. CoRR Laura Graesser, Abhinav Gupta, Lakshay Sharma, Evelina Bakhturina

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.