This inventor holds 2 USPTO granted patents. Top assignees: International Business Machines Corporation, University of Southern California. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
2 out of 166,325 
2 out of 1,693 
Years Active: 2022
Title: The Innovations of John Paul Francis
Introduction
John Paul Francis is an accomplished inventor based in Los Angeles, CA. He has made significant contributions to the field of model training using annotated images. With a total of 2 patents, his work focuses on enhancing the accuracy and efficiency of labeling organic structures within images.
Latest Patents
John Paul Francis holds two notable patents. The first patent is titled "Model training using fully and partially-annotated images." This invention outlines methods and systems for training a model to label two or more organic structures within an image. The process involves receiving a set of training images, which includes a first plurality of images with complete labels and a second plurality with partial labels. The model is trained using both sets of images along with a label merging function.
The second patent, "Model training using partially-annotated images," also focuses on training a model to label organic structures. This method similarly involves a set of training images, where the first plurality includes labels for a first subset of structures and the second plurality includes labels for a different subset. The model is trained using these images and a label merging function to enhance the labeling process.
Career Highlights
Throughout his career, John Paul Francis has worked with prestigious organizations, including IBM and the University of Southern California. His experience in these institutions has allowed him to develop and refine his innovative ideas in the field of image processing and model training.
Collaborations
John has collaborated with notable colleagues such as Hongzhi Wang and Tanveer Fathima Syeda-Mahmood. Their combined expertise has contributed to the advancement of their projects and innovations.
Conclusion
John Paul Francis is a prominent figure in the realm of image processing and model training. His patents reflect his dedication to improving the accuracy of organic structure labeling, showcasing his innovative spirit and commitment to advancing technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile