公开(公告)号：US20230120887A1

公开(公告)日：2023-04-20

申请号：US18059928

申请日：2022-11-29

Applicant: Snap Inc.

Inventor： Jianfei Yu ,  Luis Carlos Dos Santos Marujo ,  Venkata Satya Pradeep Karuturi ,  Leonardo Ribas Machado das Neves ,  Ning Xu ,  William Brendel

IPC: G06K9/62 ,  G06F40/30 ,  G06F40/284 ,  G06N3/08 ,  G06N20/20 ,  G06N3/04

Abstract: Sentiment classification can be implemented by an entity-level multimodal sentiment classification neural network. The neural network can include left, right, and target entity subnetworks. The neural network can further include an image network that generates representation data that is combined and weighted with data output by the left, right, and target entity subnetworks to output a sentiment classification for an entity included in a network post.

公开(公告)号：US20230053009A1

公开(公告)日：2023-02-16

申请号：US17972459

申请日：2022-10-24

Applicant: Snap Inc.

Inventor： Shibi He ,  Yanen Li ,  Ning Xu

IPC: G06N3/08 ,  G06K9/62 ,  G06N3/04

Abstract: A computer-implement method comprises: training a classifier with labeled data from a dataset; classifying, by the trained classifier, unlabeled data from the dataset; providing, by the classifier to a policy gradient, a reward signal for each data/query pair; transferring, by the classifier to a ranker, learning; training, by the policy gradient, the ranker; ranking data from the dataset based on a query; and retrieving data from the ranked data in response to the query.

公开(公告)号：US20230034794A1

公开(公告)日：2023-02-02

申请号：US17878591

申请日：2022-08-01

Applicant: Snap Inc.

Inventor： Yuncheng Li ,  Zhou Ren ,  Ning Xu ,  Enxu Yan ,  Tan Yu

IPC: G06V20/64 ,  G06T7/55 ,  G06T7/33 ,  G06K9/62 ,  G06N3/08

Abstract: Systems and methods are disclosed for capturing multiple sequences of views of a three-dimensional object using a plurality of virtual cameras. The systems and methods generate aligned sequences from the multiple sequences based on an arrangement of the plurality of virtual cameras in relation to the three-dimensional object. Using a convolutional network, the systems and methods classify the three-dimensional object based on the aligned sequences and identify the three-dimensional object using the classification.

公开(公告)号：US20220358738A1

公开(公告)日：2022-11-10

申请号：US17722955

申请日：2022-04-18

Applicant: Snap Inc.

Inventor： Jia Li ,  Linjie Luo ,  Rahul Bhupendra Sheth ,  Ning Xu ,  Jianchao Yang

IPC: G06T19/20 ,  G06T7/246 ,  H04L51/52 ,  G06T19/00

Abstract: Systems and methods for local augmented reality (AR) tracking of an AR object are disclosed. In one example embodiment a device captures a series of video image frames. A user input is received at the device associating a first portion of a first image of the video image frames with an AR sticker object and a target. A first target template is generated to track the target across frames of the video image frames. In some embodiments, global tracking based on a determination that the target is outside a boundary area is used. The global tracking comprises using a global tracking template for tracking movement in the video image frames captured following the determination that the target is outside the boundary area. When the global tracking determines that the target is within the boundary area, local tracking is resumed along with presentation of the AR sticker object on an output display of the device.

公开(公告)号：US11088977B1

公开(公告)日：2021-08-10

申请号：US16505694

申请日：2019-07-08

Applicant: Snap Inc.

Inventor： Jianchao Yang ,  Yuke Zhu ,  Ning Xu ,  Kevin Dechau Tang ,  Jia Li

IPC: G06F15/16 ,  H04L12/58 ,  G06K9/00 ,  G06F16/51 ,  G06F16/22 ,  G06F16/583 ,  G06T7/00

Abstract: Systems, devices, methods, media, and instructions for automated image processing and content curation are described. In one embodiment a server computer system receives a content message from a first content source, and analyzes the content message to determine one or more quality scores and one or more content values associated with the content message. The server computer system analyzes the content message with a plurality of content collections of the database to identify a match between at least one of the one or more content values and a topic associated with at least a first content collection of the one or more content collections and automatically adds the content message to the first content collection based at least in part on the match. In various embodiments, different content values, image processing operations, and content selection operations are used to curate content collections.

公开(公告)号：US11081141B2

公开(公告)日：2021-08-03

申请号：US16743563

申请日：2020-01-15

Applicant: Snap Inc.

Inventor： Jia Li ,  Nathan Litke ,  Jose Jesus (Joseph) Paredes ,  Rahul Bhupendra Sheth ,  Daniel Szeto ,  Ning Xu ,  Jianchao Yang

IPC: H04N21/218 ,  H04N21/2343 ,  H04N21/431 ,  H04N21/44 ,  H04N21/4402 ,  H04N21/4728 ,  H04N21/63 ,  G11B27/10 ,  G11B27/031

Abstract: Systems and methods are described for determining a first media item related to an event, of a plurality of stored media items each comprising video content related to the event, that was captured in a device orientation corresponding to a first device orientation detected for the first computing device; providing, to the first computing device, the first media item to be displayed on the first computing device; in response to a detected change to a second device orientation for the first computing device, determining a second media item that was captured in a device orientation corresponding to the second device orientation detected for the first computing device; and providing, to the first computing device, the second media item to be displayed on the first computing device.

公开(公告)号：US20210073613A1

公开(公告)日：2021-03-11

申请号：US16949994

申请日：2020-11-23

Applicant: Snap Inc.

Inventor： Yingzhen Yang ,  Jianchao Yang ,  Ning Xu

IPC: G06N3/04 ,  G06T5/20 ,  G06T7/10

Abstract: A compact neural network system can generate multiple individual filters from a compound filter. Each convolutional layer of a convolutional neural network can include a compound filters used to generate individual filters for that layer. The individual filters overlap in the compound filter and can be extracted using a sampling operation. The extracted individual filters can share weights with nearby filters thereby reducing the overall size of the convolutional neural network.

公开(公告)号：US20210021551A1

公开(公告)日：2021-01-21

申请号：US16918343

申请日：2020-07-01

Applicant: Snap Inc.

Inventor： Jianchao Yang ,  Yuke Zhu ,  Ning Xu ,  Kevin Dechau Tang ,  Jia Li

IPC: H04L12/58 ,  G06K9/00 ,  G06F16/22 ,  G06F16/51 ,  G06F16/583 ,  G06N20/00 ,  G06F16/9535 ,  G06F16/954 ,  G06F16/2457 ,  G06F16/951 ,  G06N3/04 ,  G06N3/08

Abstract: Systems, devices, methods, media, and instructions for automated image processing and content curation are described. In one embodiment a server computer system communicates at least a portion of a first content collection to a first client device, and receives a first selection communication in response, the first selection communication identifying a first piece of content of the first plurality of pieces of content. The server analyzes analyzing the first piece of content to identify a set of context values for the first piece of content, and accesses accessing a second content collection comprising pieces of content sharing at least a portion of the set of context values of the first piece of content. In various embodiments, different content values, image processing operations, and content selection operations are used to curate the content collections.

公开(公告)号：US10713754B1

公开(公告)日：2020-07-14

申请号：US15908461

申请日：2018-02-28

Applicant: Snap Inc.

Inventor： Guohui Wang ,  Sumant Milind Hanumante ,  Ning Xu ,  Yuncheng Li

IPC: G06K9/62 ,  G06T3/40 ,  G06N3/08 ,  G06N3/04 ,  G06T1/20 ,  G06T11/60 ,  G06N3/063

Abstract: Remote distribution of multiple neural network models to various client devices over a network can be implemented by identifying a native neural network and remotely converting the native neural network to a target neural network based on a given client device operating environment. The native neural network can be configured for execution using efficient parameters, and the target neural network can use less efficient but more precise parameters.

公开(公告)号：US11907312B1

公开(公告)日：2024-02-20

申请号：US15862403

申请日：2018-01-04

Applicant: Snap Inc.

Inventor： Yanen Li ,  Fei Wu ,  Ning Xu

IPC: G06F16/9535 ,  G06N20/00 ,  G06N7/00 ,  H04L67/50 ,  G06Q50/00

CPC classification number: G06F16/9535 ,  G06N7/00 ,  G06N20/00 ,  H04L67/535 ,  G06Q50/01

Abstract: Systems and methods are provided for generating a user click history table and a random bucket training table, generating training data for training a user-type-affinity machine learning model by combining the user click history table and the random bucket training table, and training the user-type-affinity machine learning model with the generated training data. The systems and methods further provide for generating a user click prediction table and generating user-type-affinity prediction values for each of the plurality of users by inputting the user click prediction table into the user-type-affinity machine learning model.