Stuttgart, Germany

Stephanie Abrecht

This inventor holds 3 USPTO granted patents and 1 EPO patent. Top assignee: Robert Bosch. Active years: 2022-2023.


% Patents Active = 100.0


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2022-2023

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3 patents (USPTO):Explore Patents

Title: Innovations by Stephanie Abrecht

Introduction

Stephanie Abrecht is a notable inventor based in Stuttgart, Germany. She has made significant contributions to the field of technology, particularly in the area of neural networks. With a total of 3 patents to her name, her work focuses on enhancing the accuracy of object detection through innovative methods.

Latest Patents

Stephanie's latest patents include a method for determining a confidence value of a detected object. This method utilizes a trained neural network to produce an activation signature for the class of the detected object. The process involves scaling the activation signature to the dimension of the input image and comparing it with an activation signature distribution from a training data set. Another patent describes a similar method for determining a confidence value for an object of a class, emphasizing the preparation of an activation signature and its comparison with an object frame.

Career Highlights

Stephanie Abrecht is currently employed at Robert Bosch, a leading global supplier of technology and services. Her role at the company allows her to apply her innovative ideas in practical applications, contributing to advancements in technology.

Collaborations

Throughout her career, Stephanie has collaborated with talented individuals such as Oliver Willers and Sebastian Sudholt. These collaborations have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Stephanie Abrecht's work exemplifies the spirit of innovation in the field of technology. Her contributions through her patents and collaborations continue to influence advancements in neural network applications.

Profile summary based on public USPTO records.
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