Oviedo, FL, United States of America

Alireza Zaeemzadeh

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Alireza Zaeemzadeh: Innovating Image Search Technology

Introduction: Alireza Zaeemzadeh, based in Oviedo, FL, is an inventive mind contributing to advancements in image search technology. With a keen focus on controllable attributes in image queries, he has developed an innovative patent that enhances the efficiency of image searches.

Latest Patents: Zaeemzadeh holds a patent titled "Enhanced image search via controllable attributes." This invention involves a sophisticated process to initiate image searches based on query images and associated preferences. It entails receiving a query image alongside a search query, which includes a preference value that indicates the emphasis to be placed on specific attributes during the search. The process generates a full query vector representative of the query image and projects this vector into a reduced dimensional space. Following this, candidate vectors within this space are identified and searched based on the defined attributes and preference values to display a target image.

Career Highlights: Alireza Zaeemzadeh currently works at Adobe, Inc., where he applies his inventive skills to push the boundaries of digital image processing and search methodology. His contributions help to ensure that Adobe remains at the forefront of technology in the creative industry.

Collaborations: Zaeemzadeh collaborates closely with talented coworkers, including Zhe Lin and Shabnam Ghadar. Together, they work on innovative solutions that enhance user experience and efficiency in image search technologies.

Conclusion: Alireza Zaeemzadeh exemplifies the spirit of innovation in the technology sector, particularly in image search capabilities. His groundbreaking patent represents a significant advancement in how users interact with visual data, showcasing the potential for improved search experiences in various applications.

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