Inventor · San Francisco, CA, US

Saeid Motiian

23Patents
3h-index
44Co-inventors
52Inventor score

Filing activity: May 30, 2019 → Apr 18, 2023

Most-cited inventions

PatentTitleAreaCited byStatus
US11144784B2 Text-to-visual machine learning embedding techniques Physics 5 Active
US11216505B2 Multi-resolution color-based image search Physics 3 Active
US11605019B2 Visually guided machine-learning language model Physics 3 Active
US11604822B2 Multi-modal differential search with real-time focus adaptation Physics 2 Active
US11669566B2 Multi-resolution color-based image search Physics 2 Active
US11775578B2 Text-to-visual machine learning embedding techniques Physics 1 Active
US11380033B2 Text placement within images using neural networks Physics 1 Active
US11709885B2 Determining fine-grain visual style similarities for digital images by extracting style embeddings disentangled from image content Physics 1 Active
US12093308B2 Embedding-based color-object retrieval Physics 1 Active
US11914641B2 Text to color palette generator Physics 1 Active
US11663264B2 Keyword localization digital image search Physics 1 Active
US11574392B2 Automatically merging people and objects from multiple digital images to generate a composite digital image Physics 1 Active
US11907280B2 Text adjusted visual search Physics 0 Active
US11941727B2 Systems and methods for facial image generation Physics 0 Active
US12079269B2 Visually guided machine-learning language model Physics 0 Active
US12254594B2 Enhancing detailed segments in latent code-based edited digital images Physics 0 Active
US11934448B2 Keyword localization digital image search Physics 0 Active
US11854119B2 Automatic object re-colorization Physics 0 Active
US11886793B2 Textual design agent Physics 0 Active
US11663265B2 Enhanced image search via controllable attributes Physics 0 Active
US11915520B2 Finding similar persons in images Physics 0 Active
US11823490B2 Non-linear latent to latent model for multi-attribute face editing Physics 0 Active
US11436865B1 Finding similar persons in images Physics 0 Active

Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.