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For the Inventor, By the Inventor

Round Rock, TX, United States of America

Jonathan Roeder

USPTO Granted Patents = 13 

Average Co-Inventor Count = 6.2

ph-index = 2

Forward Citations = 22(Granted Patents)


Location History:

  • Austin, TX (US) (2022)
  • Round Rock, TX (US) (2021 - 2024)

Company Filing History:

goldMedal13 out of 6,898 
 
Adobe, Inc.
 patents

Years Active: 2021-2025

where 'Filed Patents' based on already Granted Patents

13 patents (USPTO):
1. 12288549 - Spoken query processing for image search (2025-04-29),
2. 12254498 - Generation of recommendations for visual product details (2025-03-18),
3. 12124539 - Machine learning techniques for differentiability scoring of digital images (2024-10-22),
4. 11921777 - Machine learning for digital image selection across object variations (2024-03-05),
5. 11836850 - Visually augmenting images of three-dimensional containers with virtual elements (2023-12-05),
6. 11748451 - Machine learning techniques for differentiability scoring of digital images (2023-09-05),
7. 11482041 - Identity obfuscation in images utilizing synthesized faces (2022-10-25),
8. 11430030 - Generation of recommendations for visual product details (2022-08-30),
9. 11397764 - Machine learning for digital image selection across object variations (2022-07-26),
10. 11392659 - Utilizing machine learning models to generate experience driven search results based on digital canvas gesture inputs (2022-07-19),
11. 11069034 - Method and system to enhance quality of digital images (2021-07-20),
12. 11055905 - Visually augmenting images of three-dimensional containers with virtual elements (2021-07-06),
13. 10991029 - Background content suggestion for combination with identified items (2021-04-27),

Title: Innovations of Jonathan Roeder

Introduction

Jonathan Roeder is an accomplished inventor based in Round Rock, Texas. He holds a total of 13 patents, showcasing his expertise in the field of technology and innovation. His work primarily focuses on enhancing image search systems and product recommendation methodologies.

Latest Patents

One of Jonathan's latest patents is titled "Spoken query processing for image search." This invention utilizes a multi-modal model to determine the relevance of images to a spoken query. The model includes a spoken language component that extracts features from the spoken query and a language processing model that extracts features from the images. The relevance score for the images is determined based on these extracted features, and the model is trained using a curriculum approach that incorporates audio data.

Another significant patent is "Generation of recommendations for visual product details." This methodology involves generating image recommendations to facilitate product sales. It identifies product categories and sub-categories associated with images provided by sellers. The method retrieves images of for-sale items based on these categories and clusters them into groups based on different perspectives. A selected image from each group is then recommended based on a value score associated with the images.

Career Highlights

Jonathan Roeder is currently employed at Adobe, Inc., where he continues to innovate and contribute to advancements in technology. His work has significantly impacted the way image searches and product recommendations are processed, making them more efficient and user-friendly.

Collaborations

Jonathan collaborates with talented individuals such as Sachin Soni and Ryan Rozich, who contribute to the innovative environment at Adobe.

Conclusion

Jonathan Roeder's contributions to technology through his patents and work at Adobe highlight his role as a leading inventor in the field. His innovative approaches to image search and product recommendations continue to shape the industry.

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