Muwei Jian

Linyi University, Shandong University of Finance and Economics

Papers

Total Citations

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About

Dr. Muwei Jian is a leading researcher in computer vision and image processing, with a primary focus on underwater imaging and visual perception. His most impactful work addresses the critical challenge of underwater image restoration, where light propagation and turbidity cause severe chromatic aberration and scattering blur. In his highly cited 2021 paper, Dr. Jian introduced a novel decomposition network combined with a physical imaging model, achieving significant improvements in restoring color and clarity for applications in marine engineering and aquatic robotics. This work has garnered 19 citations, underscoring its importance to the field. Beyond underwater imaging, Dr. Jian has made notable contributions to object representation and depth estimation. Inspired by the human visual system (HVS), he developed a method using sparse directional patches and spatial center cues for reliable object representation, advancing image understanding by mimicking how HVS focuses on conspicuous image patches rather than scanning pixels point-by-point. Additionally, his self-supervised depth completion technique, employing an attention-based loss, enhances dense depth prediction from sparse data—a critical capability for robotics, autonomous driving, and virtual reality. Through these innovative approaches, Dr. Jian continues to push the boundaries of visual computing, bridging the gap between biological perception and machine vision.