Ruijie Yan

Title: Ruijie Yan: Innovator in Scene Text Detection and Recognition

Introduction

Ruijie Yan is a prominent inventor based in Beijing, China. He has made significant contributions to the field of scene text detection and recognition. With a total of 2 patents, his work focuses on advanced methodologies that enhance the accuracy and efficiency of text recognition systems.

Latest Patents

Ruijie Yan's latest patents include a "Scene text detection method and system based on sequential deformation." This innovative method involves extracting a first feature map from a scene image using a convolutional neural network. The process includes obtaining sampled feature maps through iterative sampling and performing deep learning operations to achieve text area prediction results. Another notable patent is the "Multi-directional scene text recognition method and system based on multi-element attention mechanism." This method utilizes a deep convolutional neural network for feature extraction and employs a multi-channel feature map to convert hidden representations into recognized text.

Career Highlights

Throughout his career, Ruijie Yan has worked with esteemed organizations such as Tsinghua University and Hyundai Motor Company. His experience in these institutions has allowed him to collaborate on various innovative projects that push the boundaries of technology in text recognition.

Collaborations

Ruijie Yan has collaborated with notable colleagues, including Liangrui Peng and Shanyu Xiao. Their combined expertise has contributed to the advancement of their research and development efforts in the field.

Conclusion

Ruijie Yan's contributions to scene text detection and recognition demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of complex algorithms and their practical applications in technology.