Yepeng Liu

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About

Dr. Yepeng Liu is a leading researcher in 3D computer vision and robotics, with a primary focus on robust visual feature matching for simultaneous localization and mapping (SLAM) and visual localization. His most notable contribution is the development of **LiftFeat**, a 3D geometry-aware local feature matching framework that addresses the persistent challenge of extracting reliable visual features under extreme conditions, such as drastic lighting changes and low-texture environments. This work, published in 2025, has already garnered 7 citations, reflecting its immediate impact on the field. By integrating geometric cues into the feature learning process, Liu’s approach significantly enhances the robustness and discriminability of local features, enabling more accurate and reliable performance in real-world robotic applications. His research bridges the gap between theoretical geometry and practical deployment, offering a scalable solution for autonomous systems operating in challenging visual environments. Dr. Liu’s contributions are paving the way for more resilient SLAM and localization pipelines, making him a rising figure in the intersection of 3D vision and robotics.