Company Filing History:
Years Active: 2019
Title: Zeynep Akata: Innovator in Image Classification Technology
Introduction
Zeynep Akata is a prominent inventor based in Grenoble, France. She has made significant contributions to the field of image classification through her innovative patent. Her work focuses on enhancing the accuracy and efficiency of attribute-based recognition systems.
Latest Patents
Zeynep holds a patent titled "Label-embedding view of attribute-based recognition." This invention involves embedding each class of a set of classes in an attribute space, where each dimension corresponds to a class attribute. The embedding generates a class attribute vector for each class, optimizing a prediction function that accurately predicts annotated classes for training images. This method allows for the generation of class labels for input images without the need for a class attribute classifier.
Career Highlights
Zeynep Akata is currently employed at Xerox Corporation, where she continues to develop her expertise in image classification technologies. Her innovative approach has positioned her as a key figure in her field, contributing to advancements that benefit various applications in computer vision.
Collaborations
Throughout her career, Zeynep has collaborated with notable colleagues, including Florent C Perronnin and Zaid Harchaoui. These partnerships have fostered a collaborative environment that enhances the development of cutting-edge technologies.
Conclusion
Zeynep Akata's contributions to image classification through her patent demonstrate her innovative spirit and dedication to advancing technology. Her work continues to influence the field, paving the way for future developments in attribute-based recognition systems.