Sunnyvale, CA, United States of America

Qifei Wang

USPTO Granted Patents = 4 


Average Co-Inventor Count = 5.2

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Sunnyvale, CA (US) (2023)
  • Mountain View, CA (US) (2024)

Company Filing History:


Years Active: 2023-2025

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4 patents (USPTO):Explore Patents

Title: Innovations by Qifei Wang

Introduction

Qifei Wang is a prominent inventor based in Sunnyvale, CA. He has made significant contributions to the field of video quality assessment and image analysis. With a total of 4 patents, his work is recognized for its innovative approaches and practical applications.

Latest Patents

One of Qifei Wang's latest patents is titled "Highly efficient model for video quality assessment." This invention outlines a method for generating reduced-quality streams from a video stream of a first spatial and temporal resolution. By sampling subsets of spatial-temporal points (STPs) from these streams, a machine learning model processes the STPs to identify quality scores. This allows for the identification of quality-improving actions for the video stream based on these scores.

Another notable patent is the "Multi-scale transformer for image analysis." This technology utilizes a patch-based multi-scale Transformer that is adaptable for various imaging applications. It effectively predicts quality on native resolution images by transforming them into a multi-scale representation. The self-attention mechanism captures information from both detailed and global patches, enhancing the overall image representation.

Career Highlights

Qifei Wang is currently employed at Google Inc., where he continues to innovate and develop cutting-edge technologies. His work has garnered attention for its potential to improve video quality and image analysis across different platforms.

Collaborations

Qifei has collaborated with talented individuals such as Yilin Wang and Junjie Ke, contributing to a dynamic and innovative work environment.

Conclusion

Qifei Wang's contributions to video quality assessment and image analysis demonstrate his commitment to advancing technology. His innovative patents reflect a deep understanding of machine learning and image processing, positioning him as a key figure in his field.

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