Santa Clara, CA, United States of America

Yu Luo


Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):

Title: Yu Luo - Innovator in Computer Vision Technology

Introduction

Yu Luo is a prominent inventor based in Santa Clara, CA, specializing in computer vision technology. He has made significant contributions to the field through his innovative patent, which addresses the challenges of false positive notifications in object detection systems. His work is particularly relevant in today's technology-driven world, where accurate object detection is crucial for various applications.

Latest Patents

Yu Luo holds a patent titled "Filtering false positive computer-vision-based object detection events." This patent describes systems and techniques for suppressing false positive notifications for detected objects. In various examples, the patent outlines a method where first bounding box data indicating a detection of a first class of object in a first frame of image data is received from an object detector. Additionally, second bounding box data indicating a prior detection of the same class of object in a second frame of image data is determined. A first value representing the similarity between the first and second bounding box data is calculated. Based on this value, a notification associated with the detection of the first class of object in the first frame may be suppressed.

Career Highlights

Yu Luo is currently employed at Amazon Technologies, Inc., where he continues to develop and refine technologies related to computer vision. His expertise in this area has positioned him as a valuable asset to his team and the company as a whole.

Collaborations

Yu has collaborated with notable colleagues, including Jhih-Yuan Lin and Chih-Ting Liu. Their combined efforts contribute to the advancement of technology in the field of computer vision.

Conclusion

In summary, Yu Luo is an influential inventor whose work in filtering false positive notifications in object detection systems has the potential to enhance the accuracy and reliability of computer vision technologies. His contributions at Amazon Technologies, Inc. and collaborations with esteemed colleagues further underscore his impact in the field.

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