Ratheesh Kalarot

USPTO Granted Patents = 23 (Patent Applications = 6)

Average Co-Inventor Count = 6.8

ph-index = 4

Forward Citations = 22(Granted Patents)

Company Filing History:

Huawei Technologies Co., Limited

patents

Years Active: 2023-2025

where 'Filed Patents' based on already Granted Patents

23 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 12475623 - Generating and compositing hair pixels using generative neural networks (2025-11-18),

2. 12417518 - Repairing irregularities in computer-generated images (2025-09-16),

3. 12412089 - Supervised learning techniques for encoder training (2025-09-09),

4. 12333427 - Multi-scale output techniques for generative adversarial networks (2025-06-17),

5. 12327188 - Direct regression encoder architecture and training (2025-06-10),

6. 12321495 - Anonymizing digital images utilizing a generative adversarial neural network (2025-06-03),

7. 12254597 - Semantic-aware initial latent code selection for text-guided image editing and generation (2025-03-18),

8. 12211178 - Transferring faces between digital images by combining latent codes utilizing a blending network (2025-01-28),

9. 12148123 - Multi-stage multi-reference bootstrapping for video super-resolution (2024-11-19),

10. 12014452 - Web-based digital image editing in real time utilizing a latent vector stream renderer and an image modification neural network (2024-06-18),

11. 11983628 - Attribute control techniques for image editing (2024-05-14),

12. 11928762 - Asynchronous multi-user real-time streaming of web-based image edits using generative adversarial network(s) (2024-03-12),

13. 11915133 - Techniques for smooth region merging in image editing (2024-02-27),

14. 11907839 - Detail-preserving image editing techniques (2024-02-20),

15. 11900519 - Disentangling latent representations for image reenactment (2024-02-13),

Title: Ratheesh Kalarot: Innovator in Image Processing Technologies

Introduction

Ratheesh Kalarot is a distinguished inventor based in San Jose, California, known for his significant contributions to the field of image processing and recommendation systems. With a remarkable portfolio of 17 patents, he has made strides in advancing technology that enhances how digital images are manipulated and utilized for various applications.

Latest Patents

Among his latest patents is "Semantic-aware initial latent code selection for text-guided image editing and generation." This innovative item recommendation system utilizes an image modification model to select a contrast group from a set of recommendable items, optimizing the conversion rate and ensuring the selected items align with user requests.

Another notable patent by Kalarot is "Transferring faces between digital images by combining latent codes utilizing a blending network." This patent focuses on the combining of digital images through advanced systems that leverage blending networks and generative neural networks, resulting in the creation of seamless blended digital images.

Career Highlights

Kalarot has had a successful career working with prominent technology companies. He has been associated with Adobe, Inc., where he contributed to innovative projects in digital media. Additionally, his work at Huawei Technologies Co., Limited has played a crucial role in the advancement of image processing technologies.

Collaborations

Throughout his career, Kalarot has collaborated with notable professionals in the industry, including Shabnam Ghadar and Jingwan Lu. These collaborations have enhanced his projects and contributed to the innovative advancements in the technology sector.

Conclusion

Ratheesh Kalarot stands out as an innovative force in the realm of image processing and technology. His patents and contributions continue to influence the industry, showcasing his ability to blend creativity with technical expertise. As the technology landscape evolves, Kalarot's work will undoubtedly remain at the forefront of innovation.

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6 patents pending:

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