London, United Kingdom

Carl Doersch

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023-2025

Loading Chart...
Loading Chart...
2 patents (USPTO):Explore Patents

Title: The Innovations of Carl Doersch

Introduction

Carl Doersch is a prominent inventor based in London, GB. He has made significant contributions to the field of video analysis and machine learning. With a total of 2 patents, his work focuses on advancing the capabilities of action classification in video clips.

Latest Patents

One of Carl Doersch's latest patents is titled "Action classification in video clips using attention-based neural networks." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying actions in a video. The method involves obtaining a feature representation of a video clip and acquiring data that specifies a plurality of candidate agent bounding boxes in the key video frame. For each candidate agent bounding box, the feature representation is processed through an action transformer neural network.

Career Highlights

Carl Doersch is currently employed at DeepMind Technologies Limited, where he continues to push the boundaries of artificial intelligence and machine learning. His innovative approaches have garnered attention in the tech community, particularly in the realm of video processing and analysis.

Collaborations

Throughout his career, Carl has collaborated with notable colleagues, including Joao Carreira and Andrew Zisserman. These partnerships have further enriched his research and development efforts in the field.

Conclusion

Carl Doersch's contributions to the field of action classification in video clips highlight his innovative spirit and dedication to advancing technology. His work at DeepMind Technologies Limited and his patents reflect his commitment to pushing the boundaries of what is possible in video analysis.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…