Mountain View, CA, United States of America

Rico Jonschkowski

USPTO Granted Patents = 1 

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2025

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Rico Jonschkowski: Innovator in Object-Centric Learning

Introduction

Rico Jonschkowski is a prominent inventor based in Mountain View, CA (US). He has made significant contributions to the field of machine learning, particularly in the area of video processing and object-centric learning. His innovative approach has led to the development of a unique patent that enhances the understanding of sequential data.

Latest Patents

Rico holds a patent titled "Conditional object-centric learning with slot attention for video and other sequential data." This method involves obtaining first and second feature vectors that represent the contents of two image frames from an input video. The process includes generating first slot vectors based on the first feature vectors, which represent attributes of corresponding entities in the first image frame. Additionally, it predicts slot vectors that illustrate the transition of these attributes to the second image frame. The method further generates second slot vectors based on the predicted slot vectors and the second feature vectors, ultimately determining an output based on these vectors. Rico has 1 patent to his name.

Career Highlights

Rico Jonschkowski is currently employed at Google Inc., where he continues to push the boundaries of innovation in machine learning. His work focuses on developing advanced algorithms that improve the processing and understanding of video data.

Collaborations

Rico has collaborated with notable colleagues, including Thomas Kipf and Gamaleldin Elsayed. Their combined expertise has contributed to the advancement of research in the field of object-centric learning.

Conclusion

Rico Jonschkowski is a key figure in the realm of machine learning, with a focus on object-centric learning techniques. His contributions, particularly through his patent, demonstrate his commitment to advancing technology in video processing.

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