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131.发明公开公开(公告)号：US20230237355A1
公开(公告)日：2023-07-27
申请号：US18125897
申请日：2023-03-24
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jongha Ryu , Yoo Jin Choi , Mostafa El-Khamy , Jungwon Lee
Abstract: A method and system are herein disclosed. The method includes developing a joint latent variable model having a first variable, a second variable, and a joint latent variable representing common information between the first and second variables; generating a variational posterior of the joint latent variable model; training the variational posterior; performing inference of the first variable from the second variable based on the variational posterior, wherein performing the inference comprises conditionally generating the first variable from the second variable; and extracting common information between the first variable and the second variable, wherein extracting the common information comprises adding a regularization term to a loss function.
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132.发明授权公开(公告)号：US11645869B2
公开(公告)日：2023-05-09
申请号：US16808357
申请日：2020-03-03
Applicant: Samsung Electronics Co., Ltd.
Inventor： Mostafa El-Khamy , Arvind Yedla , Marcel Nassar , Jungwon Lee
CPC classification number: G06V40/168 , G06T7/70 , G06V40/161 , G06T2207/20081 , G06T2207/20084 , G06T2207/30201
Abstract: A system to recognize objects in an image includes an object detection network outputs a first hierarchical-calculated feature for a detected object. A face alignment regression network determines a regression loss for alignment parameters based on the first hierarchical-calculated feature. A detection box regression network determines a regression loss for detected boxes based on the first hierarchical-calculated feature. The object detection network further includes a weighted loss generator to generate a weighted loss for the first hierarchical-calculated feature, the regression loss for the alignment parameters and the regression loss of the detected boxes. A backpropagator backpropagates the generated weighted loss. A grouping network forms, based on the first hierarchical-calculated feature, the regression loss for the alignment parameters and the bounding box regression loss, at least one of a box grouping, an alignment parameter grouping, and a non-maximum suppression of the alignment parameters and the detected boxes.
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133.发明授权公开(公告)号：US11604494B2
公开(公告)日：2023-03-14
申请号：US17394824
申请日：2021-08-05
Applicant: Samsung Electronics Co., Ltd.
Inventor： Wonkyu Sung , Kangmoon Kim , Sojung Kim , Dahyun Lee , Jungwon Lee , Junho Jin
IPC: G06F3/0346 , G06F1/16 , G06T7/70 , G09F9/30 , H04M1/02 , H04M1/72403 , H04N23/57 , H04N23/63
Abstract: An electronic device is provided. The electronic device includes a first housing including a first face and a second face, a second housing including a third face and a fourth face, a folding part rotatably connecting the first housing and the second housing, a flexible display disposed on the first face and the third face, a camera exposed through at least a portion of the fourth face, a memory configured to store instructions, and a processor configured to determine an orientation of the electronic device and a direction in which the camera is pointed while a camera application is executed, identify the first area or the second area as an area in which a preview image acquired through the camera is displayed based at least on the determined direction and the determined orientation, and display the preview image, acquired through the camera, in the identified area using the flexible display.
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公开(公告)号：US11528081B2
公开(公告)日：2022-12-13
申请号：US17265733
申请日：2019-08-08
Applicant: Samsung Electronics Co., Ltd.
Inventor： Inkyu Lee , Jeongwoo Kim , Youngjin Park , Sanggeun Lee , Jungwon Lee , Hyungjoon Cha , Junyoung Choi
Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. According to an embodiment of the present invention, a method for controlling a base station supporting a multi-antenna system may comprise the steps of: generating a plurality of test signals for a plurality of antennas in a modem; controlling the plurality of generated test signals to be fed back to the modem through a plurality of feedback paths which are formed for the plurality of antennas, respectively, and do not affect each other; and identifying the plurality of test signals fed back to the modem, on the basis of the plurality of generated test signals.
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公开(公告)号：US20220391632A1
公开(公告)日：2022-12-08
申请号：US17889883
申请日：2022-08-17
Applicant: Samsung Electronics Co., Ltd.
Inventor： Haoyu Ren , Mostafa El-Khamy , Jungwon Lee , Aman Raj
Abstract: A computer vision (CV) training system, includes: a supervised learning system to estimate a supervision output from one or more input images according to a target CV application, and to determine a supervised loss according to the supervision output and a ground-truth of the supervision output; an unsupervised learning system to determine an unsupervised loss according to the supervision output and the one or more input images; a weakly supervised learning system to determine a weakly supervised loss according to the supervision output and a weak label corresponding to the one or more input images; and a joint optimizer to concurrently optimize the supervised loss, the unsupervised loss, and the weakly supervised loss.
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Patent Agency Ranking
136.发明授权公开(公告)号：US11521634B2
公开(公告)日：2022-12-06
申请号：US17015931
申请日：2020-09-09
Applicant: Samsung Electronics Co., Ltd.
Inventor： Amin Fazeli , Mostafa El-Khamy , Jungwon Lee
IPC: G10L21/0232 , H04R3/04 , G06N20/10 , G06N3/08 , G10L21/0208
Abstract: A method for performing echo cancellation includes: receiving a far-end signal from a far-end device at a near-end device; recording a microphone signal at the near-end device including: a near-end signal; and an echo signal corresponding to the far-end signal; extracting far-end features from the far-end signal; extracting microphone features from the microphone signal; computing estimated near-end features by supplying the microphone features and the far-end features to an acoustic echo cancellation module including: an echo estimator including a first stack of a recurrent neural network configured to compute estimated echo features based on the far-end features; and a near-end estimator including a second stack of the recurrent neural network configured to compute the estimated near-end features based on an output of the first stack and the microphone signal; computing an estimated near-end signal from the estimated near-end features; and transmitting the estimated near-end signal to the far-end device.
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公开(公告)号：US20220375044A1
公开(公告)日：2022-11-24
申请号：US17572223
申请日：2022-01-10
Applicant: Samsung Electronics Co., Ltd.
Inventor： Seongjun Park , Shuangquan Wang , Dongwoon Bai , Jungwon Lee
Abstract: A method of performing scene-dependent lens shading correction (SD-LSC) is provided. The method includes collecting scene information from a Bayer thumbnail of an input image; generating a standard red green blue (sRGB) thumbnail by processing the Bayer thumbnail of the input image to simulate white balance (WB) and pre-gamma blocks; determining a representative color channel ratio of the input image based on the scene information and the sRGB thumbnail; determining an ideal grid gain of the input image based on the representative color channel ratio and a grid gain of the input image; merging the ideal grid gain and the grid gain of the input image to generate a new grid gain; and applying the new grid gain to the input image.
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公开(公告)号：US11461998B2
公开(公告)日：2022-10-04
申请号：US16777734
申请日：2020-01-30
Applicant: Samsung Electronics Co., Ltd.
Inventor： Qingfeng Liu , Mostafa El-Khamy , Dongwoon Bai , Jungwon Lee
Abstract: Some aspects of embodiments of the present disclosure relate to using a boundary aware loss function to train a machine learning model for computing semantic segmentation maps from input images. Some aspects of embodiments of the present disclosure relate to deep convolutional neural networks (DCNNs) for computing semantic segmentation maps from input images, where the DCNNs include a box filtering layer configured to box filter input feature maps computed from the input images before supplying box filtered feature maps to an atrous spatial pyramidal pooling (ASPP) layer. Some aspects of embodiments of the present disclosure relate to a selective ASPP layer configured to weight the outputs of an ASPP layer in accordance with attention feature maps.
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139.发明申请公开(公告)号：US20220293120A1
公开(公告)日：2022-09-15
申请号：US17827424
申请日：2022-05-27
Applicant: Samsung Electronics Co., Ltd.
Inventor： Amin Fazeli , Mostafa El-Khamy , Jungwon Lee
IPC: G10L21/0232 , G06N3/08 , G06N20/10 , H04R3/04
Abstract: A system for performing echo cancellation includes: a processor configured to: receive a far-end signal; record a microphone signal including: a near-end signal; and an echo signal corresponding to the far-end signal; extract far-end features from the far-end signal; extract microphone features from the microphone signal; compute estimated near-end features by supplying the microphone features and the far-end features to an acoustic echo cancellation module including a recurrent neural network including: an encoder including a plurality of gated recurrent units; and a decoder including a plurality of gated recurrent units; compute an estimated near-end signal from the estimated near-end features; and transmit the estimated near-end signal to the far-end device. The recurrent neural network may include a contextual attention module; and the recurrent neural network may take, as input, a plurality of error features computed based on the far-end features, the microphone features, and acoustic path parameters.
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公开(公告)号：US11423510B2
公开(公告)日：2022-08-23
申请号：US16814184
申请日：2020-03-10
Applicant: Samsung Electronics Co., Ltd.
Inventor： Rohit R. Ranade , Yangwen Liang , Shuangquan Wang , Dongwoon Bai , Jungwon Lee
Abstract: A method and an apparatus are provided for providing a dolly zoom effect by an electronic device. A first image with a first depth map and a second image with a second depth map are obtained. A first synthesized image and a corresponding first synthesized depth map are generated using the first image and the first depth map respectively. A second synthesized image and a corresponding second synthesized depth map are generated using the second image and the second depth map respectively. A fused image is generated from the first synthesized image and the second synthesized image. A fused depth map is generated from the first synthesized depth map and the second synthesized depth map. A final synthesized image is generated based on processing the fused image and the fused depth map.
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