Shenzhen, China

Weilong Peng


Average Co-Inventor Count = 4.4

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022

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2 patents (USPTO):

Title: Innovations of Weilong Peng in Image Processing

Introduction

Weilong Peng is a notable inventor based in Shenzhen, China. He has made significant contributions to the field of image processing, with a focus on methods and apparatus that enhance video stream analysis and facial expression modeling. His work is recognized for its innovative approach to technology and its practical applications in electronic devices.

Latest Patents

Weilong Peng holds two patents that showcase his expertise in image processing. The first patent is an "Image processing method and apparatus, and storage medium." This method involves detecting a target object in a current video frame, adjusting the detection region based on historical data, and performing key point positioning to stabilize the object's location in the video frame. The second patent is a "Face model processing for facial expression method and apparatus, non-volatile computer-readable storage medium, and electronic device." This method includes obtaining a three-dimensional face model, registering an oral cavity model, and generating a three-dimensional face expression model based on user input.

Career Highlights

Weilong Peng is currently employed at Tencent Technology (Shenzhen) Company Limited, where he continues to develop innovative solutions in image processing. His work at Tencent has positioned him as a key player in advancing technology that enhances user interaction with electronic devices.

Collaborations

Weilong collaborates with talented coworkers, including Xiaoyong Shen and Chen Li, who contribute to the development of cutting-edge technologies in their respective fields.

Conclusion

Weilong Peng's contributions to image processing through his patents and work at Tencent Technology highlight his role as an influential inventor in the tech industry. His innovative methods are paving the way for advancements in how we interact with digital media.

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