Ruslan Musaev

Moscow Institute of Physics and Technology

Papers

Total Citations

H-Index

About

Ruslan Musaev is a researcher specializing in computer vision and robotics, with a particular focus on indoor place recognition and spatial perception. His most notable contribution is the development of HPointLoc, a point-based indoor place recognition system that leverages synthetic RGB-D images to enhance localization accuracy in complex environments. This work, published in 2023 and already garnering 11 citations, addresses a critical challenge in autonomous navigation by enabling robust place recognition without extensive real-world data collection. Musaev’s approach stands out for its innovative use of synthetic data to train deep learning models, reducing the cost and time associated with manual annotation while improving generalization across diverse indoor scenes. His research has implications for applications such as service robotics, augmented reality, and smart building systems, where reliable spatial awareness is essential. By bridging the gap between simulated and real-world environments, Musaev is advancing the field of visual localization, making it more accessible and scalable for practical deployment. His work continues to inspire further exploration into data-efficient methods for robotic perception.