Palo Alto, CA, United States of America

Navin Sarma

USPTO Granted Patents = 4 

Average Co-Inventor Count = 7.3

ph-index = 1


Company Filing History:


Years Active: 2024-2025

Loading Chart...
4 patents (USPTO):

Title: Innovations by Navin Sarma

Introduction

Navin Sarma is a prominent inventor based in Palo Alto, California. He has made significant contributions to the field of media applications and machine learning. With a total of four patents to his name, Sarma continues to push the boundaries of technology.

Latest Patents

One of his latest patents focuses on performing segmentation of objects in media items based on user input. This innovative media application allows users to indicate objects they wish to erase from a media item. The application translates this input into a bounding box and provides a crop of the media item to a segmentation machine-learning model. The model then outputs a segmentation mask and a corresponding quality score for the segmentation.

Another notable patent by Sarma is related to enhanced photo relighting based on machine learning models. This method involves applying lighting models to images of objects. It includes determining a surface orientation map and applying an environmental light estimation model to enhance the input image. The method utilizes neural networks to improve the quality of the images further.

Career Highlights

Navin Sarma is currently employed at Google Inc., where he continues to innovate and develop new technologies. His work has had a significant impact on the way media applications function, particularly in the realm of user interaction and image processing.

Collaborations

Sarma has collaborated with notable coworkers such as Janne Matias Kontkanen and Jamie Aspinall. These collaborations have contributed to the advancement of his projects and the overall success of the innovations he has developed.

Conclusion

Navin Sarma's contributions to technology through his patents and work at Google Inc. highlight his role as a leading inventor in the field. His innovative approaches to media applications and machine learning continue to shape the future of technology.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…