Youya Xia

Papers

Total Citations

H-Index

About

Youya Xia is a computer vision and robotics researcher whose work sits at the compelling intersection of underwater perception, human-robot interaction, and deep learning. Best known for developing a conditional generative adversarial network (cGAN) for real-time underwater image enhancement, Xia's 2020 letter addresses one of marine robotics' most persistent challenges — degraded visual quality in aquatic environments — by formulating a perceptual objective function that simultaneously optimizes global content, color fidelity, and local texture. This work has garnered 25 citations, reflecting its practical significance for underwater systems. Complementing this, Xia's 2019 research on visual diver recognition enabled autonomous underwater vehicles to detect and distinguish multiple divers in real time, a critical capability for safe human-robot collaboration in ocean environments, earning 21 citations. Rounding out their portfolio, Xia has also tackled the socially important challenge of privacy-preserving pose estimation, proposing camera-based methods that support nonverbal human-robot interaction while addressing legitimate privacy concerns. Together, these contributions position Xia as an emerging voice in building robots that are not only perceptually capable but also trustworthy and human-aware.