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About

Jinshi Cui is a leading researcher in intelligent perception, multi-sensor fusion, and human behavior analysis, with a focus on advancing tracking and calibration technologies for robotics and surveillance. His seminal work on laser-based detection and tracking of multiple people in crowds (79 citations) established foundational methods for extracting individual trajectories in dense, challenging environments, addressing the critical problem of interlaced laser points. He further pioneered multi-modal tracking by integrating laser scanners with video cameras (65 citations), enhancing robustness in real-world scenarios. A key contribution is his calibration method for multiple 2D LIDARs (31 citations), which enables precise extrinsic calibration essential for collaborative sensing in robotic and mobile mapping systems—a widely adopted technique in autonomous navigation. Cui’s research also extends to specialized gaze estimation for children using convolutional neural networks and domain adaptation (9 citations), bridging computer vision with developmental psychology for social behavior assessment. With over 240 total citations, his work has profoundly impacted crowd surveillance, autonomous systems, and human-robot interaction, offering practical solutions for dynamic, multi-object environments.