Graz, Austria

Vincent Lepetit

USPTO Granted Patents = 12 

Average Co-Inventor Count = 3.2

ph-index = 5

Forward Citations = 50(Granted Patents)


Location History:

  • Graz, AT (2018 - 2020)
  • Talance, FR (2022)
  • Talence, FR (2019 - 2023)

Company Filing History:


Years Active: 2018-2023

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12 patents (USPTO):Explore Patents

Title: Vincent Lepetit: Innovator in Pose Estimation and Environmental Layouts

Introduction

Vincent Lepetit is a prominent inventor based in Graz, Austria, known for his significant contributions to the fields of pose estimation and environmental layout estimation. With a total of 12 patents to his name, Lepetit has made remarkable advancements in machine learning and computer vision technologies.

Latest Patents

Among his latest patents is "Keypoint-based sampling for pose estimation." This innovation provides systems and techniques for determining the poses of objects using machine learning. The process involves identifying keypoints from images associated with objects and classifying features into joint types to determine pose parameters. Another notable patent is "Scene layout estimation," which focuses on determining environmental layouts based on images and depth information. This patent outlines a method for detecting candidate layouts and objects, organizing them into a structured tree, and selecting combinations to create a three-dimensional layout of the environment.

Career Highlights

Vincent Lepetit has worked with leading companies in the technology sector, including Qualcomm Incorporated and Qualcomm Technologies, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in the industry.

Collaborations

Throughout his career, Lepetit has collaborated with notable professionals, including Mahdi Rad and Markus Oberweger. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Vincent Lepetit stands out as a key figure in the realm of innovation, particularly in pose estimation and environmental layout technologies. His patents and collaborations reflect his commitment to advancing the field and enhancing the capabilities of machine learning applications.

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