Salzburg, Austria

Stefan Paul Sietzen

USPTO Granted Patents = 3 

Average Co-Inventor Count = 2.6

ph-index = 1


Company Filing History:


Years Active: 2025

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3 patents (USPTO):Explore Patents

Title: The Innovations of Stefan Paul Sietzen

Introduction

Stefan Paul Sietzen is a notable inventor based in Salzburg, Austria. He has made significant contributions to the field of image processing, holding a total of 3 patents. His work focuses on advancing machine learning techniques and enhancing image manipulation methods.

Latest Patents

One of Sietzen's latest patents involves image rotation. This patent describes methods for training a machine learning model specifically for image processing. It outlines how to determine a predicted rotation value for an image based on the trained model. The training process includes minimizing classification loss by utilizing training image pairs associated with rotation value classifications. Additionally, an image can be divided into multiple segments to serve as input for the machine learning model.

Another significant patent by Sietzen pertains to systems and methods for performing inpainting. This computer-implemented method begins by accessing a first image and receiving a selected area of that image. It identifies a foreground area and generates a merged mask based on the union of the user-selected area and the foreground area. The inpainting process is then performed on the area corresponding to the merged mask, resulting in an inpainted image. The method further includes generating a reduced mask and combining the first image with the inpainted area to produce an output image.

Career Highlights

Stefan Paul Sietzen is currently employed at Canva Pty Ltd, where he continues to innovate in the realm of image processing technologies. His work at Canva allows him to apply his inventive skills in a collaborative environment, contributing to the development of user-friendly design tools.

Collaborations

Sietzen collaborates with talented individuals such as Sanchit Sanchit and Alexander Tack. Their teamwork fosters a creative atmosphere that enhances the potential for groundbreaking innovations in their projects.

Conclusion

Stefan Paul Sietzen's contributions to image processing and machine learning exemplify the impact of innovative thinking in technology. His patents reflect a commitment to advancing the capabilities of image manipulation, making significant strides in the field.

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