Shengjin Wang

Title: Innovations of Shengjin Wang in Scene Text Detection and Recognition

Introduction

Shengjin Wang 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

Shengjin Wang'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 delivering this feature map to a sequential deformation module, obtaining sampled feature maps through iterative sampling, and performing a series of operations to achieve text area candidate box extraction. The result is a refined scene text detection outcome through regression fitting.

Another notable patent is the "Multi-directional scene text recognition method and system based on multi-element attention mechanism." This method entails normalizing a text row/column image, extracting features using a deep convolutional neural network, and applying a multi-dimensional directional positional encoding. The hidden representation is then converted into recognized text, showcasing a sophisticated approach to scene text recognition.

Career Highlights

Shengjin Wang 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, furthering his expertise in the field of text detection and recognition.

Collaborations

Some of his notable coworkers include Liangrui Peng and Ruijie Yan. Their collaborative efforts have contributed to the advancements in the technologies developed by Wang.

Conclusion

Shengjin Wang's contributions to scene text detection and recognition are noteworthy, with his innovative patents paving the way for future advancements in this field. His work exemplifies the impact of dedicated research and collaboration in driving technological progress.