Austin, TX, United States of America

Anne Elizabeth Gattiker

USPTO Granted Patents = 36 

Average Co-Inventor Count = 3.3

ph-index = 6

Forward Citations = 145(Granted Patents)


Company Filing History:


Years Active: 2003-2024

where 'Filed Patents' based on already Granted Patents

36 patents (USPTO):

Title: Innovations by Anne Elizabeth Gattiker in Machine Learning and Video Processing

Introduction

Anne Elizabeth Gattiker, based in Austin, TX, is a prolific inventor with 36 patents to her name. Her work primarily focuses on leveraging machine learning and computer vision techniques to solve complex problems in image processing and action detection. This article delves into her latest patents, career highlights, and collaborations with other experts in her field.

Latest Patents

Among Anne's latest innovations is a patent for "Image dispositioning using machine learning." This invention outlines a method, computer program product, and system for predicting image sharing decisions by utilizing machine learning. The technology involves a processor that receives a set of annotated images and associated text input from multiple users. It subsequently trains a neural network model to generate user-specific image sharing decisions.

Another notable patent is for "Action-object recognition in cluttered video scenes using text." This mechanism incorporates an action-object interaction detection system for recognizing actions within challenging video environments. It computes an object bounding box around the object of interest identified in a label from the initial frame and refines the bounding boxes as the video progresses to determine the likelihood of an action being performed based on verified labels.

Career Highlights

Anne currently works at the International Business Machines Corporation (IBM), where she continues to innovate and contribute to advancements in machine learning and computer vision. Her expertise in developing systems that enhance image and video data understanding exemplifies her commitment to pushing the boundaries of technology.

Collaborations

Throughout her career, Anne has collaborated with notable professionals, including Sani Richard Nassif and Fadi Hikmat Gebara. These partnerships have fostered an environment that nurtures innovative ideas and solutions, enabling significant advancements in their respective technological domains.

Conclusion

Anne Elizabeth Gattiker's contributions to the field of machine learning and video processing showcase her exceptional talent and commitment to innovation. With 36 patents and a career at IBM, she continues to influence the way technology interacts with human behavior and perception. Her work not only represents her ingenuity but also serves as an inspiration for future inventors in the realm of technological advancement.

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