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公开(公告)号：US20240242365A1
公开(公告)日：2024-07-18
申请号：US18415839
申请日：2024-01-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Yi ZHOU , Seungin PARK , Byung In YOO , Sangil JUNG , Hui ZHANG
CPC classification number: G06T7/50 , G06V10/44 , G06V10/761 , G06V10/806
Abstract: A processor-implemented method including generating a depth-aware feature of an image dependent on image features extracted from image data of the image and generating image data, representing information corresponding to one or more segmentations of the image, based on the depth-aware feature and a depth-aware representation, the depth-aware representation being depth-related information and visual-related information for the image.
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公开(公告)号：US20220189031A1
公开(公告)日：2022-06-16
申请号：US17547767
申请日：2021-12-10
Applicant: Samsung Electronics Co., Ltd.
Inventor： Pingjun LI , Yi ZHOU , Byung In YOO , Hana LEE , Hui ZHANG
Abstract: A processor-implemented method includes: determining a probability that a pixel of an input image belongs to each of a plurality of preset categories; and determining a category of the pixel to be a category corresponding to either one or both of a plurality of category areas and a category determined based on the probability that the pixel belongs to each of the preset categories, based on a result of comparing, to a preset threshold value, a probability that the pixel belongs to the category corresponding to the category areas.
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公开(公告)号：US20190147617A1
公开(公告)日：2019-05-16
申请号：US16191102
申请日：2018-11-14
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Hui ZHANG , ByungIn YOO , Deheng QIAN
Abstract: A processor-implemented method includes acquiring, by a processor, a first undirected graph and a second undirected graph, generating, by the processor, a first lattice for the first undirected graph and a second lattice for the second undirected graph; matching, by the processor, the first lattice and the second lattice based on a first global structure of the first lattice and a second global structure of the second lattice, the first global structure corresponding to nodes of the first undirected graph and the second global structure corresponding to nodes of the second undirected graph, and processing the first undirected graph and the second undirected graph based on a result of the matching of the first lattice and the second lattice.
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公开(公告)号：US20180137388A1
公开(公告)日：2018-05-17
申请号：US15795677
申请日：2017-10-27
Applicant: Samsung Electronics Co., Ltd.
Inventor： Youngsung KIM , Byungin YOO , Deheng QIAN , Hui ZHANG , Chang Kyu CHOI , He ZHENG , Jae-Joon HAN , Jingtao XU , Tianchu GUO
CPC classification number: G06K9/623 , G06K9/00281 , G06K9/00288 , G06K9/6265 , G06K9/627 , G06K9/6297 , G06K9/66 , G06N3/0454
Abstract: A method to analyze a facial image includes: inputting a facial image to a residual network including residual blocks that are sequentially combined and arranged in a direction from an input to an output; processing the facial image using the residual network; and acquiring an analysis map from an output of an N-th residual block among the residual blocks using a residual deconvolution network, wherein the residual network transfers the output of the N-th residual block to the residual deconvolution network, and N is a natural number that is less than a number of all of the residual blocks, and wherein the residual deconvolution network includes residual deconvolution blocks that are sequentially combined, and the residual deconvolution blocks correspond to respective residual blocks from a first residual block among the residual blocks to the N-th residual block.
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公开(公告)号：US20250086953A1
公开(公告)日：2025-03-13
申请号：US18883424
申请日：2024-09-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Xiaoshuai HAO , Yi ZHOU , Byung In YOO , Hui ZHANG , Seungin PARK , Sangil JUNG
Abstract: An image processing method is provided. The method includes obtaining a first bird's eye view (BEV) feature of first data, obtaining a second BEV feature of second data, inputting the first BEV feature and the second BEV feature to a self-attention network to obtain a third BEV feature of the first data and a fourth BEV feature of the second data, and obtaining a fusion feature in which the third BEV feature and the fourth BEV feature are fused, wherein the first data and the second data are collected by different sensors. Related operations of the examples provided by the present disclosure are implemented by an AI model. AI-related functions are performed by non-volatile memory, volatile memory, and a processor.
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Patent Agency Ranking
公开(公告)号：US20210089760A1
公开(公告)日：2021-03-25
申请号：US17109762
申请日：2020-12-02
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Tianchu GUO , Youngsung KIM , Hui ZHANG , Byungin YOO , Chang Kyu CHOI , Jae-Joon HAN , Jingtao XU , Deheng QIAN
Abstract: A processor implemented method of processing a facial expression image, the method includes controlling a camera to capture a first facial expression image and a second facial expression image, acquiring a first expression feature of the first facial expression image, acquiring a second expression feature of the second facial expression image, generating a new expression feature dependent on differences between the acquired first expression feature and the acquired second expression feature, and adjusting a target facial expression image based on the new expression feature.
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公开(公告)号：US20210026446A1
公开(公告)日：2021-01-28
申请号：US16937722
申请日：2020-07-24
Applicant: Samsung Electronics Co., Ltd.
Inventor： Yongchao LIU , Hui ZHANG , Xiabing LIU , Byung In YOO , Chang Kyu CHOI , Jaejoon HAN , Youngjun KWAK , Tianchu GUO
Abstract: A gaze tracking method and apparatus, and a gaze tracking neural network training method and apparatus are provided. The gaze tracking apparatus includes one or more processors and a memory, and the one or more processors obtain output position information from an input face image of a user using a neural network model, determines a position adjustment parameter for the user, and predicts gaze position information of the user by adjusting the output position information based on the position adjustment parameter.
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公开(公告)号：US20160234474A1
公开(公告)日：2016-08-11
申请号：US15019046
申请日：2016-02-09
Applicant: Samsung Electronics Co., Ltd.
Inventor： Hui ZHANG , Yongjie ZHANG , Fei DUAN , Haoxing WANG , Jaejoon HAN , Jungbae KIM , Meng YE , Seon Min RHEE
CPC classification number: H04N13/128 , G06T7/593 , H04N13/271 , H04N2013/0081
Abstract: An apparatus and corresponding method are provided to match images and include assigning depth candidate values to a pixel in a first image, and reassigning third depth candidate values to a first pixel in the first image based on first depth candidate values assigned to the first pixel and second depth candidate values assigned to a second pixel adjacent to the first pixel. The apparatus and method also include determining one of the third depth candidate values to be a depth value of the first pixel, and matching the first pixel and a third pixel in a second image corresponding to the determined depth value of the first pixel.
Abstract translation: 提供了一种装置和相应的方法以匹配图像，并且包括将深度候选值分配给第一图像中的像素，并且基于分配给第一像素的第一深度候选值，将第三深度候选值重新分配给第一图像中的第一像素;以及 分配给与第一像素相邻的第二像素的第二深度候选值。 所述装置和方法还包括将所述第三深度候选值中的一个确定为所述第一像素的深度值，并且将所述第一像素与对应于所确定的所述第一像素的深度值的第二图像中的第三像素进行匹配。
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公开(公告)号：US20250157206A1
公开(公告)日：2025-05-15
申请号：US18946809
申请日：2024-11-13
Applicant: Samsung Electronics Co., Ltd.
Inventor： Yi ZHOU , Hui ZHANG , Byung In YOO , Seungin PARK , Sangil JUNG , Xiaoshuai HAO
IPC: G06V10/80 , G06V10/764 , G06V10/77 , G06V10/774
Abstract: A high-definition (HD) map-related map construction method, electronic device, and storage medium are provided. The method includes: extracting a bird's-eye view (BEV) feature map based on the data; determining map information through a hybrid decoder based on the BEV feature map and a hybrid query; and constructing an HD map corresponding to the data based on the map information, wherein the map includes a plurality of map elements each including an area formed by a plurality of coordinate points in the map, the map information comprises coordinate information and class information of the plurality of map elements, and the hybrid query includes a plurality of hybrid features each corresponding to one map element and including a point feature and an element feature. Optionally, the method may be executed using an artificial intelligence (AI) model.
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公开(公告)号：US20240169733A1
公开(公告)日：2024-05-23
申请号：US18514455
申请日：2023-11-20
Applicant: Samsung Electronics Co., Ltd.
Inventor： Yi ZHOU , Seung-In PARK , Byung In YOO , Sangil JUNG , Hui ZHANG
IPC: G06V20/40 , G06V10/77 , G06V10/774 , G06V10/776 , G06V10/82 , G06V20/70
CPC classification number: G06V20/49 , G06V10/7715 , G06V10/774 , G06V10/776 , G06V10/82 , G06V20/41 , G06V20/46 , G06V20/70
Abstract: A processor-implemented method includes: obtaining a video feature of a video comprising a plurality of video frames; determining a target object representation of the video based on the video feature using a neural network; and generating a panorama segmentation result of the video based on the target object representation.
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