Buyu Li

Title: Innovations of Buyu Li in Object Detection Technologies

Introduction

Buyu Li is a prominent inventor based in Beijing, China. He has made significant contributions to the field of object detection technologies. With a total of 2 patents, his work focuses on improving the efficiency and accuracy of identifying target objects in various media.

Latest Patents

One of Buyu Li's latest patents is titled "Methods and apparatuses for determining bounding box of target object, media, and devices." This invention discloses methods and apparatuses for determining a bounding box of a target object. The method involves obtaining attribute information of key points of a target object and determining the bounding box position using a preset neural network. This implementation enhances the efficiency and accuracy of bounding box determination.

Another notable patent is "Methods and apparatuses for identifying object category, and electronic devices." This invention includes methods and apparatuses for identifying an object category by determining key point neighborhood regions from object candidate boxes. It utilizes a convolutional neural network model to identify the category information of objects in an image. This approach significantly improves the accuracy of object identification.

Career Highlights

Buyu Li is currently employed at Beijing Sensetime Technology Development Co., Ltd. His work at this innovative company has allowed him to develop cutting-edge technologies in the field of artificial intelligence and computer vision. His contributions have been instrumental in advancing the capabilities of object detection systems.

Collaborations

Throughout his career, Buyu Li has collaborated with notable colleagues, including Junjie Yan and Quanquan Li. These collaborations have fostered a creative environment that encourages innovation and the development of new technologies.

Conclusion

Buyu Li's work in object detection technologies showcases his expertise and commitment to advancing the field. His patents reflect significant innovations that enhance the efficiency and accuracy of identifying target objects. His contributions are paving the way for future advancements in artificial intelligence and computer vision.