Yannick Hold-Geoffroy

USPTO Granted Patents = 21 (Patent Applications = 3)

Average Co-Inventor Count = 4.7

ph-index = 2

Forward Citations = 16(Granted Patents)

Location History:

Quebec, CA (2019 - 2021)
San Jose, CA (US) (2021 - 2024)

Company Filing History:

where one patent can have more than one assignee

Years Active: 2019-2025

where 'Filed Patents' based on already Granted Patents

21 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 12321495 - Anonymizing digital images utilizing a generative adversarial neural network (2025-06-03),

2. 12254589 - Extrapolating panoramas from images using a generative model (2025-03-18),

3. 12236640 - Machine learning based image calibration using dense fields (2025-02-25),

4. 12211225 - Scene reconstruction using geometry and reflectance volume representation of scene (2025-01-28),

5. 12147896 - Methods and systems for geometry-aware image contrast adjustments via image-based ambient occlusion estimation (2024-11-19),

6. 12008710 - Generating light-source-specific parameters for digital images using a neural network (2024-06-11),

7. 11972534 - Modifying materials of three-dimensional digital scenes utilizing a visual neural network (2024-04-30),

8. 11887241 - Learning 2D texture mapping in volumetric neural rendering (2024-01-30),

9. 11854115 - Vectorized caricature avatar generator (2023-12-26),

10. 11663775 - Generating physically-based material maps (2023-05-30),

11. 11663467 - Methods and systems for geometry-aware image contrast adjustments via image-based ambient occlusion estimation (2023-05-30),

12. 11568642 - Large-scale outdoor augmented reality scenes using camera pose based on learned descriptors (2023-01-31),

13. 11538216 - Dynamically estimating light-source-specific parameters for digital images using a neural network (2022-12-27),

14. 11488342 - Material map identification and augmentation (2022-11-01),

15. 11328385 - Automatic image warping for warped image generation (2022-05-10),

Title: Innovations of Yannick Hold-Geoffroy

Introduction

Yannick Hold-Geoffroy is an accomplished inventor based in San Jose, CA, with an impressive portfolio of 20 patents to his name. His work primarily focuses on advancements in image processing and machine learning, contributing significantly to the fields of computer vision and graphical representation.

Latest Patents

Among his latest inventions are two notable patents that exemplify his innovative approach. The first patent, titled "Extrapolating panoramas from images using a generative model," describes a method for generating 360-degree panoramas from narrow field-of-view images. This patent outlines a process that involves obtaining an input image and guide, generating a panoramic projection, and employing a guided co-modulation generator network to produce a full 360-degree panorama.

The second patent, "Machine learning based image calibration using dense fields," details systems and methods for calibrating image views using dense field machine learning models. This innovation utilizes an input image to generate vertical vector dense fields (VVF) and latitude dense fields (LDF), which can be applied for various image processing tasks. The VVF indicates the projected vanishing point direction for each pixel, while the LDF provides latitude values, enhancing image manipulation capabilities.

Career Highlights

Yannick has garnered experience working with renowned companies such as Adobe, Inc. and Université Laval. His contributions to these organizations have allowed him to refine his expertise in image processing technologies and machine learning algorithms.

Collaborations

Throughout his career, Yannick has collaborated with esteemed colleagues, including Kalyan Krishna Sunkavalli and Sunil Sharadchandra Hadap. These collaborative efforts have further enriched the landscape of innovative solutions in their respective fields.

Conclusion

In conclusion, Yannick Hold-Geoffroy stands as a notable figure in the realm of innovation, particularly within image processing and machine learning. His extensive patent portfolio and career achievements reflect his dedication to advancing technological frontiers, making valuable contributions to both industry and academia.

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