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公开(公告)号：US20130182958A1
公开(公告)日：2013-07-18
申请号：US13713351
申请日：2012-12-13
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Byung In YOO , Hee Seob RYU , Chang Kyu CHOI , Chang Kyo LEE , Jae Joon HAN
IPC: G06K9/00
CPC classification number: G06K9/00369
Abstract: An apparatus and method for analyzing body part association. The apparatus and method may recognize at least one body part from a user image extracted from an observed image, select at least one candidate body part based on association of the at least one body part, and output a user pose skeleton related to the user image based on the selected at least one candidate body part.
Abstract translation: 一种用于分析身体部位关联的装置和方法。 该装置和方法可以从从观察图像提取的用户图像中识别至少一个身体部位，基于至少一个身体部位的关联来选择至少一个候选人体部分，并且输出与用户图像相关的用户姿势骨架 基于所选择的至少一个候选身体部位。
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公开(公告)号：US20250148800A1
公开(公告)日：2025-05-08
申请号：US18636331
申请日：2024-04-16
Applicant: Samsung Electronics Co., Ltd.
Inventor： Solae LEE , Park SEUNGIN , Hyeongseok SON , Byung In YOO , Minki JEONG
Abstract: An object detection method and an object detection apparatus for detecting an object based on multi-features are provided. The object detection method includes: obtaining first-sensor data from a first sensor and obtaining second-sensor data from a second sensor, wherein the first sensor is a different type of sensor than the second sensor; extracting a first feature from the first-sensor data and extracting a second feature from the second-sensor data; determining a target feature-type by inputting the first and second features to a feature-type selection model which, based thereon, predicts the target feature-type; determining a target feature to be used for object detection according to the determined target feature-type; and determining an object detection result based on the determined target feature.
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公开(公告)号：US20250148262A1
公开(公告)日：2025-05-08
申请号：US18642167
申请日：2024-04-22
Applicant: Samsung Electronics Co., Ltd.
Inventor： Wonjun CHOI , Byung In YOO , Dongwook LEE
Abstract: A method and apparatus with a feature-level ensemble model are provided. A method of operating an ensemble model based on feature-level consolidation includes: obtaining queries by inputting a same input data item to respective transformer models, the transformer models generating respective queries from the input data item; forming an ensemble query corresponding to the queries; and generating a predicted value of the input data item by applying the ensemble query to a prediction model that includes a transformer decoder, the prediction model inferring the predicted value from the ensemble query.
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14.发明申请公开(公告)号：US20250104259A1
公开(公告)日：2025-03-27
申请号：US18631836
申请日：2024-04-10
Applicant: Samsung Electronics Co., Ltd.
Inventor： Hyeongseok SON , Seungin PARK , Byung In YOO , Dongwook LEE , Sangil JUNG
Abstract: A method performed by one or more processors of an electronic device includes: processing an input image and point cloud data corresponding to the input image; projecting the point cloud data to generate a first depth map and adding new depth values to the first depth map based on the input image; obtaining a second depth map by inputting the input image to a depth estimation model configured to infer depth maps from input images; and training the depth estimation model based on a loss difference between the first depth map and the second depth map.
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公开(公告)号：US20250078286A1
公开(公告)日：2025-03-06
申请号：US18803352
申请日：2024-08-13
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Zao YAO , Ju Hwan SONG , Ying MIN , Byung In YOO , Changbeom PARK , YunHao ZHANG , Junchen REN , Yuanzhang YAO , Sanqi LI
Abstract: An apparatus and method for quantizing a transformer-based target tracking model are provided. The method includes obtaining a transformer-based target tracking model including a template branch, a search branch, a stitching module, and a first transformer module, generating an optimized target tracking model by removing the stitching module from the transformer-based target tracking model and dividing the first transformer module into a second transformer module and a third transformer module, and generating a quantization model corresponding to the optimized target tracking model by quantizing the divided second transformer module independently of quantizing the divided third transformer module.
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Patent Agency Ranking
公开(公告)号：US20240242082A1
公开(公告)日：2024-07-18
申请号：US18338732
申请日：2023-06-21
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Seohyung LEE , Jiho CHOI , Byung In YOO
Abstract: An apparatus and method for training a neural network model for classification without a teacher model are disclosed. The includes: selecting classes from a database comprising a set of classes; generating a mean feature group comprising mean features extracted from the selected classes; receiving a batch comprising input data and extracting, by the neural network model, a feature from the input data, wherein the neural network model is to be trained according to a mean feature set; determining a first similarity between the extracted feature and a mean feature corresponding to the input data; determining a second similarity comprising a self-similarity of the mean feature; and updating a parameter of the neural network model based on the first similarity and the second similarity.
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公开(公告)号：US20230351610A1
公开(公告)日：2023-11-02
申请号：US17987231
申请日：2022-11-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Dongwook LEE , Seohyung LEE , Changbeom PARK , Byung In YOO , Hyunjeong LEE
CPC classification number: G06T7/20 , G06T7/97 , G06T2207/10016
Abstract: A processor-implemented method with object tracking includes: performing, using a first template, forward object tracking on first image frames in a first sequence group; determining a template candidate of a second template for second image frames in a second sequence group; performing backward object tracking on the first image frames using the template candidate; determining a confidence of the template candidate using a result of comparing a first tracking result determined by the forward object tracking performed on the first image frames and a second tracking result determined by the backward object tracking performed on the first image frames; determining the second template based on the confidence of the template candidate; and performing forward object tracking on the second image frames using the second template.
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公开(公告)号：US20230283876A1
公开(公告)日：2023-09-07
申请号：US17958564
申请日：2022-10-03
Applicant: Samsung Electronics Co., Ltd.
Inventor： Byung In YOO , Youngjun KWAK , Sungyoul PARK , Solae LEE , Hana LEE , Jiho CHOI
IPC: H04N5/232
CPC classification number: H04N5/23218 , H04N5/23299 , H04N5/23296
Abstract: A device and method with object recognition is included. In one general aspect, an electronic device includes a camera sensor configured to capture a first image of a scene, the camera sensor is configured to perform at least one type of physical camera motion relative to the electronic device, the at least one type of physical camera motion includes rolling, panning, tilting, or zooming the camera sensor relative to the electronic device, and a processor configured to control the camera sensor to perform a physical motion of the physical camera motion type based on detecting an object in the first image, acquire a second image captured using the camera sensor as adjusted based on the performed physical motion, and recognize the object in the second image.
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公开(公告)号：US20230102335A1
公开(公告)日：2023-03-30
申请号：US17722858
申请日：2022-04-18
Applicant: Samsung Electronics Co., Ltd.
Inventor： Seungin PARK , Sangil JUNG , Byung In YOO
Abstract: A method with dynamic convolution includes: determining kernel adaptation weights corresponding to weight matrices in a category set represented by a plurality of predetermined discrete values; determining a unified kernel based on the weight matrices and the kernel adaptation weights corresponding to the weight matrices; and performing a convolution operation based on the unified kernel.
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公开(公告)号：US20220156944A1
公开(公告)日：2022-05-19
申请号：US17525213
申请日：2021-11-12
Applicant: Samsung Electronics Co., Ltd.
Inventor： Hui ZHANG , Pingjun LI , Byung In YOO , Hana LEE , Yi ZHOU
Abstract: A processor-implemented method with video processing includes: determining a first image feature of a first image of video data and a second image feature of a second image that is previous to the first image; determining a time-domain information fusion processing result by performing time-domain information fusion processing on the first image feature and the second image feature; and determining a panoptic segmentation result of the first image based on the time-domain information fusion processing result.
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