公开(公告)号：US11468674B2

公开(公告)日：2022-10-11

申请号：US16995869

申请日：2020-08-18

Applicant: Adobe Inc.

Inventor： Jayant Kumar ,  Vera Lychagina ,  Tarun Vashisth ,  Sudhakar Pandey ,  Sharad Mangalick ,  Rohith Mohan Dodle ,  Peter Baust ,  Mina Doroudi ,  Kerem Turgutlu ,  Kannan Iyer ,  Gaurav Kukal ,  Archit Kalra ,  Amine Ben Khalifa

IPC: G06V20/00 ,  G06K9/62 ,  G06F16/53 ,  G06N3/08

Abstract: 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.

公开(公告)号：US20220253435A1

公开(公告)日：2022-08-11

申请号：US17172986

申请日：2021-02-10

Applicant: ADOBE INC.

Inventor： Fengbin Chen ,  Venkat Barakam ,  Benjamin Leviant ,  Amine Ben Khalifa ,  Kerem Turgutlu ,  Jayant Kumar ,  Sumeet Zaverilal Gala ,  Gaurav Kukal ,  Vipul Dalal

IPC: G06F16/245 ,  G06N3/04 ,  G06N3/08

Abstract: Systems and methods for information retrieval are described. Embodiments generate a dense embedding for each of a plurality of media objects to be searched, generate a sparse embedding for each of the media objects using an encoder that takes the dense embedding as an input, wherein the sparse embedding satisfies a sparsity constraint that is applied to at least one layer of the encoder during training, and perform a search on the plurality of media objects based at least in part on the sparse embedding.

公开(公告)号：US20220351513A1

公开(公告)日：2022-11-03

申请号：US17865076

申请日：2022-07-14

Applicant: Adobe Inc.

Inventor： Jayant Kumar ,  Vera Lychagina ,  Tarun Vashisth ,  Sudhakar Pandey ,  Sharad Mangalick ,  Rohith Mohan Dodle ,  Peter Baust ,  Mina Doroudi ,  Kerem Turgutlu ,  Kannan Iyer ,  Gaurav Kukal ,  Archit Kalra ,  Amine Ben Khalifa

IPC: G06V20/00 ,  G06K9/62 ,  G06F16/53 ,  G06N3/08

Abstract: 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.

公开(公告)号：US11971885B2

公开(公告)日：2024-04-30

申请号：US17172986

申请日：2021-02-10

Applicant: ADOBE INC.

Inventor： Fengbin Chen ,  Venkat Barakam ,  Benjamin Leviant ,  Amine Ben Khalifa ,  Kerem Turgutlu ,  Jayant Kumar ,  Sumeet Zaverilal Gala ,  Gaurav Kukal ,  Vipul Dalal

IPC: G06F16/00 ,  G06F16/245 ,  G06N3/04 ,  G06N3/08

CPC classification number: G06F16/245 ,  G06N3/04 ,  G06N3/08

Abstract: Systems and methods for information retrieval are described. Embodiments generate a dense embedding for each of a plurality of media objects to be searched, generate a sparse embedding for each of the media objects using an encoder that takes the dense embedding as an input, wherein the sparse embedding satisfies a sparsity constraint that is applied to at least one layer of the encoder during training, and perform a search on the plurality of media objects based at least in part on the sparse embedding.

公开(公告)号：US11710312B2

公开(公告)日：2023-07-25

申请号：US17865076

申请日：2022-07-14

Applicant: Adobe Inc.

Inventor： Jayant Kumar ,  Vera Lychagina ,  Tarun Vashisth ,  Sudhakar Pandey ,  Sharad Mangalick ,  Rohith Mohan Dodle ,  Peter Baust ,  Mina Doroudi ,  Kerem Turgutlu ,  Kannan Iyer ,  Gaurav Kukal ,  Archit Kalra ,  Amine Ben Khalifa

IPC: G06V20/00 ,  G06F16/53 ,  G06N3/08 ,  G06F18/23 ,  G06F18/214

CPC classification number: G06V20/35 ,  G06F16/53 ,  G06F18/214 ,  G06F18/23 ,  G06N3/08

Abstract: 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.