Adobe, Inc.

Sharad Mangalick

Jayant Kumar

Kannan Iyer

Kerem Can Turgutlu

Rohith Mohan Dodle

Gaurav Kukal

Mina Doroudi

Peter J Baust

Archit Kalra

Vera Lychagina

Amine Ben Khalifa

Sudhakar Pandey

Tarun Vashisth

Disclosed are systems and methods for dynamically determining categories for images. A computer-implemented method may include training a neural network to receive an input image and determine one or more image categories associated with the input image; obtaining a set of images associated with a user; determining, using the trained neural network, one or more image categories associated with each image included in the obtained set of images; determining one or more dominant image categories associated with the user based on the determined image categories for the obtained set of images; and determining an image editing user interface for the user based on the determined one or more dominant image categories.

Systems and methods for dynamic image category determination

Disclosed are systems and methods for dynamically determining categories for images. A computer-implemented method includes training a neural network to receive an input image and determine one or more image categories associated with the input image; obtaining a set of images associated with a user; and determining, using the trained neural network, one or more image categories associated with each image included in the obtained set of images.

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San Francisco, CA, United States of America

Sharad Mangalick