Aachen, Germany

Georg Heigold

USPTO Granted Patents = 4 

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2025

where 'Filed Patents' based on already Granted Patents

4 patents (USPTO):

Title: Innovator Georg Heigold: Advancements in Image and Video Processing

Introduction: Georg Heigold, an accomplished inventor based in Aachen, Germany, has made significant contributions to the field of image and video processing. With three patents to his name, Heigold's work primarily revolves around developing methods that enhance the understanding and classification of digital media using advanced neural networks.

Latest Patents: His most recent patents include "Processing images using self-attention based neural networks" and "Systems and methods for improved video understanding." The first patent focuses on novel methods, systems, and apparatus for processing images, which includes obtaining multiple images, determining image patches, and utilizing neural networks to generate outputs that characterize the images. The second patent outlines a computer-implemented method for classifying video data with increased accuracy, using a video transformer encoder model to analyze spatiotemporal information extracted from video frames.

Career Highlights: Heigold’s career has been marked by his role at Google Inc., where he has been instrumental in pioneering advancements that harness the power of artificial intelligence in media processing. His innovative approaches not only enhance image and video understanding but also contribute significantly to the broader field of machine learning.

Collaborations: Collaboration plays a crucial role in Heigold’s work. He has had the opportunity to work alongside talented individuals such as Mostafa Dehghani and Neil Matthew Tinmouth Houlsby, combining their expertise to push the boundaries of what's possible in the realm of digital media processing.

Conclusion: Georg Heigold stands out as a leading inventor in image and video processing, with a remarkable track record highlighted by his patents and collaborations. His contributions at Google Inc. continue to influence the industry, showcasing the immense potential of self-attention-based neural networks in enhancing our understanding of visual data.

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