Jiaying Lin

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About

Jiaying Lin is a rising researcher in computer vision, specializing in the detection of transparent and reflective surfaces—a critical challenge for autonomous systems. Her work focuses on enabling robots, self-driving cars, and drones to perceive and navigate environments safely by identifying glass panels and mirrors, which often appear invisible to standard sensors. Lin’s major contributions include pioneering video-based mirror detection with VMD-Net, the first technique to leverage inconsistent motion cues for robust mirror identification (2024, 8 citations). She has also advanced glass surface detection by fusing RGB and depth data through cross-modal context mining, improving perception in complex scenes (2022, 8 citations; 2025, 3 citations). Her research directly impacts applications in robotic navigation, semantic segmentation, and scene reconstruction, addressing real-world obstacles that traditional methods overlook. With her innovative approaches to multimodal learning and motion analysis, Lin is establishing herself as a key contributor to safer, more perceptive autonomous systems.