Lingjie He

Title: Innovations of Lingjie He in Pedestrian Re-identification

Introduction

Lingjie He is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of pedestrian re-identification, focusing on advanced methods that enhance the accuracy and robustness of identification systems. With a total of 2 patents, his work is paving the way for improved technologies in this area.

Latest Patents

Lingjie He's latest patents include two innovative methods. The first is a "Transformer-based multi-scale pedestrian re-identification method." This invention discloses a network that utilizes multi-scale pedestrian feature extraction and Transformer technology. It aims to mine detailed feature information of pedestrians at various depths and scales, resulting in stronger feature representation. The method constructs a feature extraction process based on Transformer to learn pedestrian features globally. The aggregated features enhance the model's discrimination ability, showcasing better robustness and adaptive capabilities.

The second patent is an "Occluded pedestrian re-identification method based on pose estimation and background suppression." This application involves obtaining global and local features of occluded pedestrians and recombining them into a local feature map. It also includes generating a heat map of key-points and enhancing each key-point feature using global features. The final features are processed through a Graph Convolutional Network (GCN) to achieve optimal pedestrian key-point identification.

Career Highlights

Lingjie He is affiliated with Hangzhou Dianzi University, where he continues to contribute to research and development in his field. His innovative approaches have garnered attention and recognition within the academic and technological communities.

Collaborations

He has collaborated with notable colleagues, including Ming Jiang and Min Zhang, who share his passion for advancing pedestrian re-identification technologies.

Conclusion

Lingjie He's contributions to pedestrian re-identification through his innovative patents demonstrate his expertise and commitment to enhancing identification systems. His work is instrumental in pushing the boundaries of technology in this vital area.