公开(公告)号：US12136250B2

公开(公告)日：2024-11-05

申请号：US17332734

申请日：2021-05-27

Applicant: Adobe Inc.

Inventor： Khoi Pham ,  Kushal Kafle ,  Zhe Lin ,  Zhihong Ding ,  Scott Cohen ,  Quan Tran

IPC: G06V10/75 ,  G06F18/214 ,  G06F18/25 ,  G06N3/08

Abstract: This disclosure describes one or more implementations of systems, non-transitory computer-readable media, and methods that extract multiple attributes from an object portrayed in a digital image utilizing a multi-attribute contrastive classification neural network. For example, the disclosed systems utilize a multi-attribute contrastive classification neural network that includes an embedding neural network, a localizer neural network, a multi-attention neural network, and a classifier neural network. In some cases, the disclosed systems train the multi-attribute contrastive classification neural network utilizing a multi-attribute, supervised-contrastive loss. In some embodiments, the disclosed systems generate negative attribute training labels for labeled digital images utilizing positive attribute labels that correspond to the labeled digital images.

公开(公告)号：US12045963B2

公开(公告)日：2024-07-23

申请号：US18058630

申请日：2022-11-23

Applicant: Adobe Inc.

Inventor： Scott Cohen ,  Zhe Lin ,  Zhihong Ding ,  Luis Figueroa ,  Kushal Kafle

IPC: G06T5/77 ,  G06F3/04842 ,  G06F3/04845 ,  G06T3/20 ,  G06V10/70 ,  G06V10/86

CPC classification number: G06T5/77 ,  G06F3/04842 ,  G06F3/04845 ,  G06T3/20 ,  G06V10/768 ,  G06V10/86 ,  G06T2200/24 ,  G06T2207/20084 ,  G06T2207/20104

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For instance, in one or more embodiments, the disclosed systems detect, via a graphical user interface of a client device, a user selection of an object portrayed within a digital image. The disclosed systems determine, in response to detecting the user selection of the object, a relationship between the object and an additional object portrayed within the digital image. The disclosed systems receive one or more user interactions for modifying the object. The disclosed systems modify the digital image in response to the one or more user interactions by modifying the object and the additional object based on the relationship between the object and the additional object.

公开(公告)号：US10754851B2

公开(公告)日：2020-08-25

申请号：US15852506

申请日：2017-12-22

Applicant: Adobe Inc.

Inventor： Scott Cohen ,  Kushal Kafle ,  Brian Price

IPC: G06F16/30 ,  G06F16/242 ,  G06T11/20 ,  G06K9/18 ,  G06N3/02 ,  G06F16/26 ,  G06F16/248 ,  G06F16/2457 ,  G06N3/04 ,  G06N3/08 ,  G06N5/04

Abstract: Systems and techniques are described that provide for question answering using data visualizations, such as bar graphs. Such data visualizations are often generated from collected data, and provided within image files that illustrate the underlying data and relationships between data elements. The described techniques analyze a query and a related data visualization, and identify one or more spatial regions within the data visualization in which an answer to the query may be found.

公开(公告)号：US20190197154A1

公开(公告)日：2019-06-27

申请号：US15852506

申请日：2017-12-22

Applicant: Adobe Inc.

Inventor： Scott Cohen ,  Kushal Kafle ,  Brian Price

IPC: G06F17/30 ,  G06K9/18 ,  G06N3/02 ,  G06T11/20

Abstract: Systems and techniques are described that provide for question answering using data visualizations, such as bar graphs. Such data visualizations are often generated from collected data, and provided within image files that illustrate the underlying data and relationships between data elements. The described techniques analyze a query and a related data visualization, and identify one or more spatial regions within the data visualization in which an answer to the query may be found.