La Jolla, CA, United States of America

Hao Su


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Hao Su - Innovator in Three-Dimensional Object Part Segmentation

Introduction

Hao Su is a prominent inventor based in La Jolla, California. He has made significant contributions to the field of machine learning, particularly in the area of three-dimensional object part segmentation. His innovative work has the potential to enhance various applications in computer vision and robotics.

Latest Patents

Hao Su holds a patent for "Three-dimensional object part segmentation using a machine learning model." This patent outlines systems and techniques for part segmentation. The process involves obtaining a three-dimensional capture of an object and generating one or more two-dimensional images from this capture. The method further includes processing these images to create at least one two-dimensional bounding box associated with a part of the object. Additionally, it describes performing three-dimensional part segmentation based on a point cloud generated from the images and bounding boxes, utilizing semantically labeled super points merged into subgroups related to the object's part.

Career Highlights

Hao Su is currently employed at Qualcomm Incorporated, where he applies his expertise in machine learning and computer vision. His work at Qualcomm has allowed him to collaborate with leading professionals in the field, contributing to advancements in technology.

Collaborations

Some of Hao Su's notable coworkers include Minghua Liu and Yinhao Zhu. Their collaborative efforts have furthered research and development in the area of three-dimensional object segmentation.

Conclusion

Hao Su's innovative contributions to three-dimensional object part segmentation demonstrate his expertise and commitment to advancing technology. His work continues to influence the fields of machine learning and computer vision, paving the way for future innovations.

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