Yuanjie Shao

Title: Innovations of Yuanjie Shao

Introduction

Yuanjie Shao is a prominent inventor based in Hubei, China. He has made significant contributions to the field of technology, particularly in the areas of person search methods and action detection. With a total of 4 patents to his name, Shao continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is a "Person search method based on person re-identification driven localization refinement." This invention discloses a method that enhances person search accuracy by converting an original input image into a smaller image corresponding to a region of interest (ROI). It effectively avoids contradictions in features shared by person re-identification and detection networks. The method allows for the loss from the person re-identification network to be transmitted back to the detection network, improving the detection bounding box and reducing background interference.

Another notable patent is the "Spatiotemporal action detection method." This method involves performing object detection on all frames of a sample video to create a candidate object set. It calculates interframe optical flow information to obtain a motion set and constructs a spatiotemporal convolution-deconvolution network. The network is trained with an objective function based on classification loss and sparse constraints, allowing for accurate action category detection and spatiotemporal location of objects.

Career Highlights

Yuanjie Shao is affiliated with Huazhong University of Science and Technology, where he contributes to research and development in his field. His work has garnered attention for its innovative approaches to complex problems in technology.

Collaborations

Shao collaborates with notable colleagues, including Nong Sang and Changxin Gao. Their combined expertise enhances the research output and innovation potential within their projects.

Conclusion

Yuanjie Shao's contributions to technology through his patents and research at Huazhong University of Science and Technology highlight his role as a leading inventor. His innovative methods in person search and action detection continue to influence advancements in the field.