Hanyun Wang

Papers

Total Citations

2,326

H-Index

About

Hanyun Wang is a prominent researcher specializing in 3D computer vision, deep learning, and point cloud processing, with significant contributions to autonomous driving, robotics, and 3D scene understanding. He is best known as a co-author of "Deep Learning for 3D Point Clouds: A Survey," one of the most influential works in the field, which has accumulated an remarkable 2,225 citations since its publication in 2020 — a testament to its foundational role in guiding researchers navigating the rapidly evolving landscape of 3D deep learning. This comprehensive survey systematically examines how deep learning techniques can be applied to point cloud data, bridging the gap between 2D vision successes and the unique challenges posed by 3D representations. Wang has also advanced practical applications of 3D perception through his work on object recognition and pose estimation, proposing improvements to point pair feature-based methods to enhance robustness in autonomous robotic manipulation scenarios. His 2022 book chapter on deep learning for 3D vision further demonstrates his commitment to synthesizing and disseminating knowledge in this domain. With a cumulative citation impact exceeding 2,300, Wang stands as an authoritative voice shaping modern 3D computer vision research.