New Delhi, India

Hiransh Gupta

This inventor holds 1 USPTO granted patent. Top assignee: Adobe, Inc.. Active years: 2026.


% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Hiransh Gupta: Innovator in Scene Graph Technology

Introduction

Hiransh Gupta is a notable inventor based in New Delhi, India. He has made significant contributions to the field of scene graph technology, particularly in generating enriched scenes. His innovative approach combines machine learning with graphical representations to enhance visual data processing.

Latest Patents

Hiransh Gupta holds a patent for "Generating enriched scenes using scene graphs." This patent involves methods for expanding a seed scene using proposals from a generative model of scene graphs. The process includes clustering subgraphs according to respective maximal connected subgraphs of a scene graph, which consists of multiple nodes and edges. The method also generates a scene sequence based on the clustered subgraphs. A first machine learning model predicts a node in response to the scene sequence, while a second model predicts an edge based on the same sequence and the predicted node. The final output is a scene graph determined by the predicted node and edge. He has 1 patent to his name.

Career Highlights

Hiransh Gupta is currently employed at Adobe Inc., where he continues to develop innovative solutions in the realm of digital media and graphics. His work at Adobe has allowed him to collaborate with leading experts in the field and contribute to cutting-edge projects.

Collaborations

Hiransh has worked alongside talented colleagues such as Tirupati Saketh Chandra and Aniruddha Mahapatra. Their collaborative efforts have further advanced the research and development of scene graph technologies.

Conclusion

Hiransh Gupta's contributions to scene graph technology exemplify the innovative spirit of modern inventors. His work not only enhances the understanding of visual data but also paves the way for future advancements in the field.

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