This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Honda Motor Ltd., Ltd.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Reza Ghoddoosian: Innovator in Action Segmentation Technology
Introduction
Reza Ghoddoosian is a notable inventor based in San Jose, CA (US). He has made significant contributions to the field of action segmentation technology. His innovative work has led to the development of a patent that enhances the understanding of actions within video sequences.
Latest Patents
Reza Ghoddoosian holds a patent for "Weakly Supervised Action Segmentation." This patent outlines a method that includes performing feature extraction to identify features associated with a current frame of a video. The process involves feeding these features into a recognition network to generate a predicted action score. Subsequently, the predicted action score is used in conjunction with an action transition model to predict potential subsequent actions. This method culminates in segmenting or labeling frames of the video based on the predicted sequence of actions.
Career Highlights
Reza is currently employed at Honda Motor Ltd. His work at the company focuses on advancing technologies that improve video analysis and action recognition. His expertise in this area has positioned him as a valuable asset to his team.
Collaborations
Reza collaborates with talented individuals such as Nakul Agarwal and Behzad Dariush. Their combined efforts contribute to the innovative projects at Honda Motor Ltd.
Conclusion
Reza Ghoddoosian's contributions to action segmentation technology exemplify the impact of innovative thinking in the field of video analysis. His patent and work at Honda Motor Ltd. highlight his role as a forward-thinking inventor.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile