This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: Jagjot Singh: Innovator in Digital Image Retrieval
Introduction
Jagjot Singh is a notable inventor based in Lucknow, India. He has made significant contributions to the field of digital image processing. His innovative approach focuses on enhancing the retrieval of complementary digital images through advanced techniques.
Latest Patents
Jagjot Singh holds a patent for a groundbreaking technique titled "Finding complementary digital images using a conditional generative adversarial network." This computer-implemented method involves retrieving at least one recommended output image. The technique utilizes a generator component to transform first-part image information, associated with a user-selected first-part image, into instances of second-part generated image information. Each instance complements the first-part image information. The generator component is trained using a conditional generative adversarial network (cGAN). The process includes retrieving second-part output images from a data store based on the generated information and presenting them alongside the first-part image in a user interface.
Career Highlights
Jagjot Singh is currently associated with Microsoft Technology Licensing, LLC. His work at Microsoft emphasizes the application of innovative technologies in digital imaging. He has successfully developed methods that enhance user experience through improved image retrieval systems.
Collaborations
Jagjot has collaborated with talented individuals such as Mithun Das Gupta and Sudhir Kumar. Their combined expertise contributes to the advancement of technology in their respective fields.
Conclusion
Jagjot Singh's contributions to digital image retrieval demonstrate his innovative spirit and technical prowess. His patent reflects a significant advancement in the field, showcasing the potential of generative adversarial networks in enhancing user interaction with digital content.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
