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For the Inventor, By the Inventor

Mountain View, CA, United States of America

Jose Manuel Alvarez Lopez

This inventor holds 15 USPTO granted patents and 46 published patent applications. Top assignee: Nvidia Corporation. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jose Manuel Alvarez Lopez. Retrieved from https://idiyas.com/inventor/jose-manuel-alvarez-lopez

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 15 

% Patents Active = 100.0

Average Co-Inventor Count = 4.6

ph-index = 2

Forward Citations = 9(Granted Patents)


Company Filing History:

goldMedal15 out of 6,195 
 
Nvidia Corporation
 patents

Years Active: 2025-2026

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15 patents (USPTO):Explore Patents
1. 12762751 - Calculating data compression parameters (2026-10-13),
2. 12737629 - Scaling neural network weights (2026-09-15),
3. 12718469 - Bi-directional feature projection for 3D perception systems and applications (2026-08-25),
4. 12682626 - Robust vision transformers (2026-07-14),
5. 12657259 - Neural network training technique (2026-06-16),
6. 12625926 - Temporal-based perception (2026-05-12),
7. 12620170 - Sparse voxel transformer for camera-based 3D semantic scene completion (2026-05-05),
8. 12614284 - Class agnostic object mask generation (2026-04-28),
9. 12602936 - Long-range 3D object detection using 2D bounding boxes (2026-04-14),
10. 12554799 - Neural network training using resampled image data (2026-02-17),
11. 12548310 - Neural network-based object detection (2026-02-10),
12. 12515706 - Occupancy prediction using forward-backward view transformation (2026-01-06),
13. 12406023 - Neural network training method (2025-09-02),
14. 12387481 - Enhanced object identification using one or more neural networks (2025-08-12),
15. 12272148 - Scalable semantic image retrieval with deep template matching (2025-04-08),

Title: Innovations of Jose Manuel Alvarez Lopez

Introduction

Jose Manuel Alvarez Lopez is a prominent inventor based in Mountain View, CA. He has made significant contributions to the field of neural networks and image generation. With a total of 15 patents, his work focuses on enhancing object identification and image generation techniques.

Latest Patents

One of his latest patents is a neural network training method that involves apparatuses, systems, and techniques to generate images of objects. In this invention, one or more neural networks are trained to identify objects within images, which are then used to generate new images of those objects. Another notable patent is for enhanced object identification using neural networks. This invention identifies objects in images based on the likelihood that they differ from other objects present in the same images.

Career Highlights

Jose Manuel Alvarez Lopez is currently employed at Nvidia Corporation, a leading company in graphics processing and artificial intelligence. His work at Nvidia has allowed him to push the boundaries of technology in neural networks and image processing.

Collaborations

He has collaborated with notable coworkers such as Donna Roy and Suraj Kothawade, contributing to innovative projects within the company.

Conclusion

Jose Manuel Alvarez Lopez continues to be a key figure in the advancement of neural network technologies, with his patents paving the way for future innovations in image generation and object identification.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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