New York, NY, United States of America

Carl Martin Vondrick

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 5.5

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2021-2022

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2 patents (USPTO):

Title: The Innovative Contributions of Carl Martin Vondrick

Introduction

Carl Martin Vondrick is a notable inventor based in New York, NY (US). He has made significant contributions to the fields of visual tracking and action localization in images and videos. With a total of 2 patents, Vondrick's work showcases the intersection of technology and creativity.

Latest Patents

Vondrick's latest patents include "Visual tracking by colorization" and "Action localization in images and videos using relational features." The first patent focuses on methods, systems, and apparatus for performing visual tracking through a colorization machine learning model. This innovative approach involves processing reference video frames and target video frames to generate pixel similarity measures, ultimately determining target labels for each pixel. The second patent addresses action localization by utilizing a context neural network to identify actions performed by individuals in images. This system processes input images to extract relational features that represent the relationships between a person and their context.

Career Highlights

Carl Martin Vondrick is currently employed at Google Inc., where he continues to push the boundaries of technology through his research and inventions. His work has garnered attention for its practical applications in various fields, including computer vision and machine learning.

Collaborations

Vondrick has collaborated with notable colleagues such as Abhinav Shrivastava and Kevin Patrick Murphy. These partnerships have contributed to the advancement of his research and the development of innovative solutions in the tech industry.

Conclusion

Carl Martin Vondrick's contributions to technology through his patents and work at Google Inc. highlight his role as a leading inventor in the field. His innovative approaches to visual tracking and action localization continue to influence advancements in machine learning and computer vision.

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