This inventor holds 1 USPTO granted patent. Top assignee: Qualcomm Incorporated. 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: Vibashan Vishnukumar Sharmini: Innovator in Machine Learning
Introduction
Vibashan Vishnukumar Sharmini is a notable inventor based in San Diego, CA. He has made significant contributions to the field of machine learning, particularly in image processing technologies. His innovative work has led to the development of a patent that enhances the capabilities of image segmentation.
Latest Patents
Vibashan holds a patent for "Open vocabulary image segmentation." This patent outlines techniques and apparatus for improved machine learning. In his method, an input image is accessed and processed using an image encoder to generate an image embedding tensor. This tensor is then processed using a mask decoder machine learning model to create a set of mask embedding tensors. Additionally, a textual input is processed using a text encoder to generate a text embedding tensor. The result is a set of augmented masks generated by aggregating the text embedding tensor with the set of mask embedding tensors. This innovative approach has the potential to significantly enhance image segmentation tasks.
Career Highlights
Vibashan is currently employed at Qualcomm Incorporated, a leading technology company known for its advancements in telecommunications and semiconductor technology. His work at Qualcomm allows him to apply his expertise in machine learning to real-world applications, contributing to the company's innovative projects.
Collaborations
Vibashan collaborates with talented individuals such as Shubhankar Mangesh Borse and Hyojin Park. These collaborations foster a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Vibashan Vishnukumar Sharmini is a prominent figure in the field of machine learning, with a focus on image segmentation. His patent and work at Qualcomm demonstrate his commitment to innovation and technological advancement. His contributions are paving the way for future developments in machine learning applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
