Gujarat, India

Patel Utkarsh Govind


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):

Title: Innovations by Patel Utkarsh Govind

Introduction

Patel Utkarsh Govind is an accomplished inventor based in Gujarat, India. He has made significant contributions to the field of technology, particularly in the area of visual compatibility prediction. With a total of two patents to his name, Govind is recognized for his innovative approaches to enhancing user experiences in digital environments.

Latest Patents

Govind's latest patents focus on deep learning-based visual compatibility prediction for bundle recommendations. These systems, methods, and computer storage media are designed to predict visual compatibility between a bundle of catalog items, such as a partial outfit, and a candidate catalog item intended to be added to the bundle. The prediction process is jointly conditioned on item type, context, and style. It involves determining a first compatibility score based on type and context, a second compatibility score based on outfit style, and then combining these scores into a unified visual compatibility score. This score is calculated for each candidate item, allowing the selection of the item with the highest score to complete the bundle.

Career Highlights

Patel Utkarsh Govind is currently employed at Adobe, Inc., where he continues to develop innovative solutions that leverage advanced technologies. His work has positioned him as a key player in the tech industry, particularly in the realm of machine learning and visual analytics.

Collaborations

Govind collaborates with talented individuals such as Ayush Chopra and Balaji Krishnamurthy, contributing to a dynamic and innovative work environment. Their combined expertise fosters creativity and drives the development of cutting-edge technologies.

Conclusion

Patel Utkarsh Govind's contributions to the field of technology through his patents and collaborative efforts highlight his role as a forward-thinking inventor. His work in visual compatibility prediction is paving the way for enhanced user experiences in digital applications.

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