Pittsburgh, PA, United States of America

Zahra Rahimi


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Zahra Rahimi: Innovator in Digital Image Editing Dialogue Annotation

Introduction

Zahra Rahimi is a prominent inventor based in Pittsburgh, PA (US). She has made significant contributions to the field of digital image editing through her innovative patent. Her work focuses on enhancing the accuracy and efficiency of dialogue annotations in digital image editing applications.

Latest Patents

Zahra holds a patent titled "Generating ground truth annotations corresponding to digital image editing dialogues for training state tracking models." This patent involves systems, non-transitory computer-readable media, and methods that generate ground truth annotations of target utterances in digital image editing dialogues. The goal is to create a state-driven training data set. The disclosed systems utilize machine and user-defined tags, machine learning model predictions, and user input to generate a ground truth annotation that includes frame information, intent, attribute, object, and/or location information. This innovative approach results in fast and accurate digital image editing dialogue annotation.

Career Highlights

Zahra is currently employed at Adobe, Inc., where she continues to develop her expertise in digital image processing and machine learning. Her work at Adobe has allowed her to push the boundaries of what is possible in the realm of digital image editing.

Collaborations

Zahra collaborates with talented individuals such as Trung Huu Bui and Yinglan Ma. These partnerships enhance her research and development efforts, leading to more innovative solutions in the field.

Conclusion

Zahra Rahimi is a trailblazer in the field of digital image editing dialogue annotation. Her patent and work at Adobe, Inc. demonstrate her commitment to advancing technology in this area. Her contributions are paving the way for more efficient and accurate digital image editing processes.

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