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For the Inventor, By the Inventor

Nashua, NH, United States of America

Varun Jampani

USPTO Granted Patents = 20 

Average Co-Inventor Count = 5.1

ph-index = 4

Forward Citations = 36(Granted Patents)


Location History:

  • Rockland, MA (US) (2022)
  • Westford, MA (US) (2023)
  • Nashua, NH (US) (2020 - 2024)

Company Filing History:

goldMedal20 out of 5,406 
 
Nvidia Corporation
 patents

Years Active: 2020-2025

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20 patents (USPTO):
1. 12456046 - Distance determinations using one or more neural networks (2025-10-28),
2. 12450748 - Segmentation using an unsupervised neural network training technique (2025-10-21),
3. 12266144 - Training and inferencing using a neural network to predict orientations of objects in images (2025-04-01),
4. 12182940 - Self-supervised single-view 3D reconstruction via semantic consistency (2024-12-31),
5. 12141986 - Shape fusion for image analysis (2024-11-12),
6. 11907846 - Learning and propagating visual attributes (2024-02-20),
7. 11748887 - Segmentation using an unsupervised neural network training technique (2023-09-05),
8. 11715251 - Neural network model trained using generated synthetic images (2023-08-01),
9. 11676284 - Shape fusion for image analysis (2023-06-13),
10. 11636668 - Bilateral convolution layer network for processing point clouds (2023-04-25),
11. 11328173 - Switchable propagation neural network (2022-05-10),
12. 11328169 - Switchable propagation neural network (2022-05-10),
13. 11256961 - Training a neural network to predict superpixels using segmentation-aware affinity loss (2022-02-22),
14. 11238650 - Self-supervised single-view 3D reconstruction via semantic consistency (2022-02-01),
15. 11182649 - Generation of synthetic images for training a neural network model (2021-11-23),

Title: Varun Jampani: Innovator in Neural Networks and 3D Reconstruction

Introduction

Varun Jampani is a prominent inventor based in Nashua, NH, holding an impressive portfolio of 18 patents. His innovative work primarily revolves around the fields of neural networks and 3D reconstruction, aiming to enhance image processing technologies. As a key member of Nvidia Corporation, Jampani is at the forefront of technological advancements that shape the future of artificial intelligence.

Latest Patents

Two of Varun Jampani's latest patents underscore his expertise in the realm of artificial intelligence and computer vision. The first patent focuses on "Training and inferencing using a neural network to predict orientations of objects in images." This invention comprises apparatuses, systems, and techniques designed to identify the orientations of objects within images, leveraging neural networks trained with characteristics beyond the object's mere orientation.

The second patent, "Self-supervised single-view 3D reconstruction via semantic consistency," addresses the challenge of identifying the shape or camera pose of three-dimensional objects using two-dimensional images. This technology employs neural networks trained on similar object categories, utilizing a three-dimensional mesh template for accurate identification.

Career Highlights

Varun Jampani has made significant contributions to the field of artificial intelligence during his tenure at Nvidia Corporation. His research and development efforts focus on enhancing neural network capabilities, aiming for more accurate and efficient image recognition and processing technologies. Jampani's contributions have positioned him as a leading figure within the innovative landscape of computer vision.

Collaborations

Throughout his career, Varun Jampani has collaborated with notable professionals in the industry, including Jan Kautz and Sifei Liu. These collaborations highlight the importance of teamwork and knowledge exchange in the pursuit of groundbreaking technological advancements.

Conclusion

Varun Jampani continues to innovate and redefine the boundaries of artificial intelligence and image processing. With a strong portfolio of patents and significant collaborations, his work is likely to have a lasting impact on the field. As he advances in his career at Nvidia Corporation, the technological community eagerly anticipates his future contributions.

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