San Francisco, CA, United States of America

Saeid Motiian

This inventor holds 25 USPTO granted patents and 3 published patent applications, primarily in Digital Image Processing. Top assignee: Adobe, Inc.. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Saeid Motiian. Retrieved from https://idiyas.com/inventor/saeid-motiian

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 25 

% Patents Active = 92.0

Average Co-Inventor Count = 5.5

ph-index = 3

Forward Citations = 27(Granted Patents)


Company Filing History:


Years Active: 2021-2026

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Areas of Expertise:
Generative Neural Network
Facial Image Generation
Color-Object Retrieval
Visual Search
Machine Learning
Image Editing
Text to Color Palette
Latent Space
Image Segmentation
Multi-Attribute Editing
Diffusion Model
Style Embeddings
25 patents (USPTO):Explore Patents

Title: Innovations by Saeid Motiian: Pioneering Image Retrieval Technologies

Introduction

Saeid Motiian is a prominent inventor based in San Francisco, CA, renowned for his contributions to the field of image retrieval technologies. With an impressive portfolio of 22 patents, he continues to push the boundaries of innovation in machine learning and digital content management. His work at Adobe, Inc. reflects his commitment to advancing the capabilities of visual search and retrieval systems.

Latest Patents

Among his latest patents, Motiian has developed groundbreaking systems for image retrieval that utilize unique embedding techniques. One significant innovation is the **Embedding-based color-object retrieval**, which describes a method for receiving a search query from a user, extracting relevant entities and color phrases, and generating embeddings to efficiently identify corresponding images in a database. This process involves leveraging metadata and object color embeddings to enhance user experience.

Another notable patent is the **Visually guided machine-learning language model**. This model seeks to circumvent the limitations of conventional techniques by integrating visual intuition into a multi-modal embedding space. Once trained, this model supports functionalities such as dynamic multi-modal differential searches, allowing real-time image searching and content adaptation based on visual cues.

Career Highlights

Saeid Motiian’s career is distinguished by his innovative approach to solving complex problems in the realm of image processing and retrieval. His successful tenure at Adobe, Inc. has enabled him to collaborate with fellow pioneers in the field, significantly impacting the technological landscape of visual search.

Collaborations

Throughout his career, Motiian has collaborated with talented individuals such as Baldo Antonio Faieta and Zhe Lin. These partnerships have enriched his work and inspired new ideas that have led to patented technologies aimed at improving visual search and machine learning applications.

Conclusion

Saeid Motiian's contributions to image retrieval and machine learning technology exemplify the spirit of innovation within the tech industry. His patents not only reflect his expertise but also his dedication to enhancing how users interact with digital content. As the field continues to evolve, Motiian remains a key figure driving forward-thinking solutions in image processing at Adobe, Inc.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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