This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Adobe, Inc.. 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: Praveen Gelra: Innovator in Deep Learning Technologies
Introduction
Praveen Gelra is a notable inventor based in Noida, India. He has made significant contributions to the field of deep learning, particularly in the area of image processing. His innovative approach has led to the development of a unique patent that enhances the way transparent objects are represented in digital images.
Latest Patents
Praveen Gelra holds a patent for a groundbreaking technology titled "Deep learning based copying and pasting of transparent objects." This patent involves systems, methods, and non-transitory computer-readable media that generate a modified digital image depicting a transparent object using a transparency properties neural network. The disclosed system accesses a trimap for a source digital image depicting a transparent object and utilizes this trimap along with the source digital image to generate an alpha matte and a refractive flow. Ultimately, the system produces a modified digital image that effectively integrates the transparent object into a target digital image background.
Career Highlights
Praveen Gelra is currently employed at Adobe, Inc., where he continues to push the boundaries of technology in image processing. His work at Adobe has allowed him to collaborate with other talented professionals in the field, further enhancing his innovative capabilities.
Collaborations
Some of Praveen's coworkers include Ashish Anand and Ansh Gupta. Their collaborative efforts contribute to the dynamic environment at Adobe, fostering creativity and innovation.
Conclusion
Praveen Gelra's contributions to deep learning and image processing exemplify the impact of innovation in technology. His patent on transparent object representation showcases his expertise and commitment to advancing the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
