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For the Inventor, By the Inventor

San Jose, CA, United States of America

Akhilesh Kumar

USPTO Granted Patents = 11 

Average Co-Inventor Count = 4.7

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:

goldMedal11 out of 6,898 
 
Adobe, Inc.
 patents

Years Active: 2022-2025

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11 patents (USPTO):
1. 12450504 - Efficiently inferencing digital videos utilizing machine-learning models (2025-10-21),
2. 12141952 - Exposure defects classification of images using a neural network (2024-11-12),
3. 12136189 - Media enhancement using discriminative and generative models with feedback (2024-11-05),
4. 12067499 - Increasing efficiency of inferencing digital videos utilizing machine-learning models (2024-08-20),
5. 12014452 - Web-based digital image editing in real time utilizing a latent vector stream renderer and an image modification neural network (2024-06-18),
6. 11928762 - Asynchronous multi-user real-time streaming of web-based image edits using generative adversarial network(s) (2024-03-12),
7. 11887216 - High resolution conditional face generation (2024-01-30),
8. 11853348 - Multidimensional digital content search (2023-12-26),
9. 11762622 - Interactive remote digital image editing utilizing a scalable containerized architecture (2023-09-19),
10. 11727614 - Web-based digital image editing in real time utilizing a latent vector stream renderer and an image modification neural network (2023-08-15),
11. 11494886 - Hierarchical multiclass exposure defects classification in images (2022-11-08),

Title: Innovations by Akhilesh Kumar: A Pioneer in Image Processing Technologies

Introduction

Akhilesh Kumar, based in San Jose, California, is a notable inventor with a remarkable portfolio of 10 patents. His work primarily focuses on advancements in image processing technologies, utilizing neural networks for enhanced image classification and enhancement. As a dedicated professional at Adobe, Inc., Akhilesh continues to contribute to cutting-edge solutions in the field of media and technology.

Latest Patents

Akhilesh’s latest patents showcase his expertise in utilizing neural networks for image analysis. One of his significant inventions is the method for classifying exposure defects in images through a dual neural network approach. This system detects whether an image contains an exposure defect and subsequently classifies the nature of that defect, ranging from severe underexposure to various levels of overexposure. This innovation highlights his commitment to improving image quality and providing users with detailed defect classifications.

Another noteworthy patent focuses on media enhancement using discriminative and generative models with feedback. This system employs a feedback mechanism that quantifies image enhancement, leveraging a discriminator network to assess media quality. When the quality score is deemed low, an enhancement network is activated to improve the media object. The feedback generated not only assists in enhancing the image but also provides a tangible enhancement score to users, ensuring a comprehensive improvement process.

Career Highlights

Throughout his career at Adobe, Inc., Akhilesh Kumar has positioned himself as a leader in the realm of image processing. His ability to innovate within complex technological landscapes has resulted in a series of impactful patents that address significant issues in image quality and classification. His contributions not only enhance user experience but also push the boundaries of what is achievable in media technology.

Collaborations

Akhilesh’s work has been further enriched through collaborations with talented colleagues. Notable among them are Baldo Antonio Faieta and Ratheesh Kalarot, who have supported and complemented his inventive approaches. Together, they have fostered an environment of innovation at Adobe, leading to new advancements in image processing and technology.

Conclusion

Akhilesh Kumar is a pioneering inventor whose contributions to image processing technology are significant and impactful. With a growing list of patents, he exemplifies the spirit of innovation that drives progress within the tech industry. His dedication to improving media quality through advanced neural network applications continues to inspire future developments in the field, solidifying his role as a key figure in modern technology.

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