Afsaneh Fazly is a prominent inventor based in Toronto, Canada. She has made significant contributions to the field of personalized image and video searching. With a total of 6 patents to her name, her work focuses on enhancing the way users interact with visual content through natural language queries.

Latest Patents

One of Afsaneh's latest patents is a method of personalized image and video searching based on a natural language query. This innovative approach involves obtaining a natural language query that includes a name. The method replaces the name in the query with a generic term to create an anonymized query and named entity information. It then utilizes a trained scoring model to obtain initial ranking scores and attention weights for a plurality of images. A re-scoring model is employed to calculate delta scores, which are used to modify the initial ranking scores, ultimately providing final ranking scores. This process enhances semantic-based searching and determines the probability that faces detected in the images correspond to the name provided in the query.

Career Highlights

Afsaneh Fazly is currently employed at Samsung Electronics Co., Ltd., where she continues to push the boundaries of technology in image retrieval. Her work has garnered attention for its innovative approach to integrating natural language processing with image recognition.

Collaborations

Afsaneh has collaborated with notable colleagues such as Iqbal Ismail Mohomed and Allan Jepson. These partnerships have contributed to her success and the advancement of her projects.

Conclusion

Afsaneh Fazly is a trailblazer in the field of personalized image retrieval, with a focus on enhancing user experience through innovative technology. Her contributions are shaping the future of how we search and interact with visual content.

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