This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: A9.com, Inc.. Active years: 2020-2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Palo Alto, CA (US) (2020 - 2022)
- Sunnyvale, CA (US) (2022)
Company Filing History:
Years Active: 2020-2022
Title: The Innovative Mind of Hao-Yu Wu
Introduction
Hao-Yu Wu is a prominent inventor based in Palo Alto, CA. He has made significant contributions to the field of object recognition and visual search technologies. With a total of 3 patents to his name, Wu's work is at the forefront of innovation in machine learning and image processing.
Latest Patents
Wu's latest patents include groundbreaking technologies such as "Universal Object Recognition" and "Three-Dimensional Object Identification Using Two-Dimensional Image Data." The first patent focuses on large-scale instance recognition, utilizing channel-wise pooling to enhance the accuracy of object classification. This technology processes query images to extract features and generate region proposals, which are then classified as object or non-object regions. The second patent introduces visual similarity-based search techniques that allow users to search for items with related three-dimensional features using two-dimensional image data. This innovative approach enables the creation of an electronic catalog searchable by three-dimensional attributes.
Career Highlights
Hao-Yu Wu is currently employed at A9.com, Inc., where he continues to push the boundaries of technology. His work has garnered attention for its practical applications in various industries, particularly in enhancing user experience through advanced image recognition systems.
Collaborations
Wu has collaborated with notable colleagues such as Mehmet Nejat Tek and Tian Cao, contributing to a dynamic environment of innovation and creativity.
Conclusion
Hao-Yu Wu's contributions to the field of object recognition and visual search technologies exemplify the spirit of innovation. His patents reflect a deep understanding of machine learning and its applications, positioning him as a key figure in the tech industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
