Mengfei Duan

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About

Mengfei Duan is a rising researcher in computer vision, with a primary focus on omnidirectional perception and multi-object tracking (MOT). Her most notable contribution is the pioneering work "Omnidirectional Multi-Object Tracking" (2025), which addresses a critical gap in the field: while panoramic imagery offers a complete 360° field of view for capturing spatial and temporal relationships of surrounding objects, most MOT algorithms are designed for pinhole images with limited views. Duan’s research introduces novel methodologies to adapt tracking frameworks for spherical imagery, enabling robust tracking across full panoramic scenes. Though early in her career, her work has already garnered 3 citations, signaling growing interest from the autonomous driving and surveillance communities. By tackling the distortion and projection challenges unique to 360° data, Duan is laying the groundwork for more comprehensive scene understanding. Her achievements highlight her as an emerging voice in expanding MOT beyond conventional narrow-field applications, promising significant impact on real-world systems requiring holistic environmental awareness.