Shenzhen, China

Bin Fu

USPTO Granted Patents = 15 

 

Average Co-Inventor Count = 4.7

ph-index = 1

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2018-2025

Loading Chart...
Loading Chart...
15 patents (USPTO):

Title: Innovations of Bin Fu in Image Processing

Introduction

Bin Fu is a prominent inventor based in Shenzhen, China, known for his significant contributions to the field of image processing. With a total of 15 patents to his name, he has developed innovative methods and apparatuses that enhance the capabilities of facial image manipulation and recognition.

Latest Patents

Among his latest patents, Bin Fu has introduced a "Training method for expression transfer model" and an "Image processing method and apparatus." The expression transfer model patent outlines a comprehensive method for training a model that transfers facial expressions from one object to another. This involves obtaining facial images from different domains and applying them to a model to synthesize new facial images. The image processing method patent describes a technique for segmenting and recognizing images, which includes preliminary segmentation and recombination of image regions to achieve accurate recognition of foreground and background elements.

Career Highlights

Bin Fu has worked with notable companies, including Tencent Technology (Shenzhen) Company Limited and Tencent Technology Company Limited. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge projects in technology and image processing.

Collaborations

Throughout his career, Bin Fu has collaborated with talented individuals such as Pei Cheng and Keyi Shen. These partnerships have fostered a creative environment that has led to the development of innovative solutions in the field.

Conclusion

Bin Fu's work in image processing and his numerous patents highlight his role as a leading inventor in the industry. His innovative methods continue to influence advancements in technology and image recognition.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…