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公开(公告)号:US11880979B2
公开(公告)日:2024-01-23
申请号:US17707023
申请日:2022-03-29
Applicant: Samsung Electronics Co., Ltd.
Inventor: Seungin Park , Seokhwan Jang
CPC classification number: G06T7/11 , G06N3/04 , G06T7/149 , G06T7/168 , G06T7/174 , G06V10/82 , G06V20/46 , G06T2207/10016 , G06T2207/20084
Abstract: A method with video segmentation may include: acquiring, over time, a video sequence including a plurality of image frames, the plurality of image frames including a second image frame corresponding to a time t of the video sequence and a first image frame corresponding to a time t−1 before the time t; extracting a second feature vector from the second image frame; generating second hidden state information corresponding to the second image frame, based on first hidden state information corresponding to the first image frame and second fusion information in which the second feature vector is fused with information related to the second image frame stored in a memory; generating a second segmentation mask corresponding to the second image frame, based on an output vector corresponding to the second hidden state information; and outputting the second segmentation mask.
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公开(公告)号:US20210150727A1
公开(公告)日:2021-05-20
申请号:US16900649
申请日:2020-06-12
Applicant: Samsung Electronics Co., Ltd.
Inventor: Seungin Park , Seokhwan Jang
Abstract: A method with video segmentation may include: acquiring, over time, a video sequence including a plurality of image frames, the plurality of image frames including a second image frame corresponding to a time t of the video sequence and a first image frame corresponding to a time t−1 before the time t; extracting a second feature vector from the second image frame; generating second hidden state information corresponding to the second image frame, based on first hidden state information corresponding to the first image frame and second fusion information in which the second feature vector is fused with information related to the second image frame stored in a memory; generating a second segmentation mask corresponding to the second image frame, based on an output vector corresponding to the second hidden state information; and outputting the second segmentation mask.
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公开(公告)号:US20240054716A1
公开(公告)日:2024-02-15
申请号:US18096972
申请日:2023-01-13
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Seokhwan Jang , Nahyup KANG , Jiyeon KIM , Hyewon MOON , Donghoon SAGONG , Minjung SON
Abstract: Disclosed are a method and device for representing rendered scenes. A data processing method of training a neural network model includes obtaining spatial information of sampling data, obtaining one or more volume-rendering parameters by inputting the spatial information of the sampling data to the neural network model, obtaining a regularization term based on a distribution of the volume-rendering parameters, performing volume rendering based on the volume-rendering parameters, and training the neural network model to minimize a loss function determined based on the regularization term and based on a difference between a ground truth image and an image that is estimated according to the volume rendering.
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公开(公告)号:US11158093B2
公开(公告)日:2021-10-26
申请号:US16637453
申请日:2018-08-06
Inventor: Kihong Son , Jong Beom Ra , Seokhwan Jang , Kyoung-Yong Lee , Duhgoon Lee , Do Il Kim , Seungeon Kim
Abstract: A medical imaging apparatus includes an X-ray source configured to irradiate X-rays to an object; an X-ray detector configured to detect the X-rays radiated from the X-ray source to obtain projection data; and an image processor configured to reconstruct the projection data based on a motion parameter representing movement of at least one of the object, the X-ray source, and the X-ray detector, and to generate a medical image by applying a weighting process to the reconstructed projection data.
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公开(公告)号:US12288347B2
公开(公告)日:2025-04-29
申请号:US17714347
申请日:2022-04-06
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Seokhwan Jang , Seungeon Kim , Minjung Son
Abstract: A method and apparatus with depth map generation. The method may include generating points for a point cloud by unprojecting multi-view depth maps, of plural views, into a corresponding three-dimensional (3D) space using respective camera parameters corresponding to each view of the multi-view depth maps, extracting feature embedding vectors corresponding to the generated points, generating a two-dimensional (2D) feature map of a set view based on the extracted feature embedding vectors, generating a residual depth map using a refinement network with respect to the 2D feature map, generating a new depth map based on the residual depth map and an initial depth map, of the set view, among the multi-view depth maps.
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公开(公告)号:US11880990B2
公开(公告)日:2024-01-23
申请号:US17182580
申请日:2021-02-23
Applicant: Samsung Electronics Co., Ltd
Inventor: Seokhwan Jang , Minjung Son , Hyun Sung Chang
Abstract: A method and apparatus with feature embedding is provided. The method includes estimating a depth map for each of plural two-dimensional (2D) input images, transforming the depth maps into three-dimensional (3D) information in a point cloud form based on an aggregation of the depth maps, and generating an embedded feature by applying the 3D information to a machine learning model, where the embedded feature includes information about a 3D shape corresponding to a 2D object in the plural 2D input images.
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公开(公告)号:US11321848B2
公开(公告)日:2022-05-03
申请号:US16900649
申请日:2020-06-12
Applicant: Samsung Electronics Co., Ltd.
Inventor: Seungin Park , Seokhwan Jang
Abstract: A method with video segmentation may include: acquiring, over time, a video sequence including a plurality of image frames, the plurality of image frames including a second image frame corresponding to a time t of the video sequence and a first image frame corresponding to a time t−1 before the time t; extracting a second feature vector from the second image frame; generating second hidden state information corresponding to the second image frame, based on first hidden state information corresponding to the first image frame and second fusion information in which the second feature vector is fused with information related to the second image frame stored in a memory; generating a second segmentation mask corresponding to the second image frame, based on an output vector corresponding to the second hidden state information; and outputting the second segmentation mask.
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