Anirudh Singhal

Title: Anirudh Singhal: Innovator in Visual Compatibility Prediction

Introduction

Anirudh Singhal is a notable inventor based in Uttar Pradesh, 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, Singhal is recognized for his innovative approaches to enhancing user experiences in digital environments.

Latest Patents

Anirudh Singhal'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 visual compatibility prediction is jointly conditioned on item type, context, and style. This involves determining a first compatibility score based on type and context, a second compatibility score based on outfit style, and combining these scores into a unified visual compatibility score. This score is calculated for each of a plurality of candidate items, allowing the selection of the candidate item with the highest score to complete the bundle.

Career Highlights

Anirudh Singhal is currently employed at Adobe Inc., where he applies his expertise in technology and innovation. His work at Adobe has allowed him to contribute to cutting-edge projects that leverage deep learning and artificial intelligence.

Collaborations

Some of Anirudh's coworkers include Ayush Chopra and Patel Utkarsh Govind. Their collaborative efforts contribute to the innovative environment at Adobe, fostering advancements in technology.

Conclusion

Anirudh Singhal is a prominent figure in the realm of visual compatibility prediction, with a focus on enhancing user experiences through innovative technology. His contributions at Adobe and his patented inventions highlight his role as a leading inventor in this field.