Madison, WI, United States of America

Huang Tang


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovations of Huang Tang in Image Processing

Introduction

Huang Tang is an accomplished inventor based in Madison, WI (US). He has made significant contributions to the field of image processing, particularly through his innovative patent that enhances object detection in images and video segments.

Latest Patents

Huang Tang holds a patent for an image processing system that identifies objects within images or video segments. This system identifies one or more regions of an image that contain an object. In some examples, a tracklet is utilized to track an object through multiple image frames within a video segment, allowing for improved object detection accuracy. The system employs a deep learning-based object detection framework that models the correlations present between various object categories. It determines a category for each detected object using a hierarchical tree of categories, which learns the visual similarities between different object categories. The hierarchical tree is estimated by analyzing the errors of an object detector that does not utilize any correlation between the object categories. Huang Tang's innovative approach has the potential to significantly enhance the accuracy of object detection systems.

Career Highlights

Huang Tang is currently employed at Markable, Inc., where he continues to develop cutting-edge technologies in image processing. His work has positioned him as a key player in the advancement of object detection methodologies.

Collaborations

Huang has collaborated with talented individuals such as Rui Zheng and Jugal Sheth, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Huang Tang's contributions to image processing through his patent demonstrate his expertise and commitment to advancing technology in this field. His innovative work continues to influence the development of more accurate object detection systems.

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