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    Communication system with repeat-response combining mechanism and method of operation thereof
    22.
    发明授权
    Communication system with repeat-response combining mechanism and method of operation thereof 有权

    公开(公告)号：US09954643B2

    公开(公告)日：2018-04-24

    申请号：US13908765

    申请日：2013-06-03

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Mostafa El-Khamy ,  Jungwon Lee ,  Inyup Kang

    IPC: H04L1/00 ,  H04L1/18

    CPC classification number: H04L1/004 ,  H04L1/1845

    Abstract: A communication system includes: a validation module configured to transmit a repeat request corresponding to a preceding data including a communication content; an inter-block processing module, coupled to the validation module, configured to determine a previous communication value based on the preceding data; a detection module, coupled to the inter-block processing module, configured to identify a repeat data corresponding to the repeat request from a receiver signal; an accumulator module, coupled to the detection module, configured to generate an accumulation output based on the preceding data and the repeat data; and a decoding module, coupled to the accumulator module, configured to determine the communication content using the previous communication value and the accumulation output across instances of transmission blocks for communicating with a device.

    VIDEO DEPTH ESTIMATION BASED ON TEMPORAL ATTENTION
    24.
    发明公开
    VIDEO DEPTH ESTIMATION BASED ON TEMPORAL ATTENTION 审中-公开

    公开(公告)号：US20240346673A1

    公开(公告)日：2024-10-17

    申请号：US18676414

    申请日：2024-05-28

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Haoyu Ren ,  Mostafa El-Khamy ,  Jungwon Lee

    IPC: G06T7/579 ,  G06T3/18 ,  G06T7/194

    CPC classification number: G06T7/579 ,  G06T7/194 ,  G06T3/18 ,  G06T2207/10016 ,  G06T2207/20021 ,  G06T2207/20084

    Abstract: A method of depth detection based on a plurality of video frames includes receiving a plurality of input frames including a first input frame, a second input frame, and a third input frame respectively corresponding to different capture times, convolving the first to third input frames to generate a first feature map, a second feature map, and a third feature map corresponding to the different capture times, calculating a temporal attention map based on the first to third feature maps, the temporal attention map including a plurality of weights corresponding to different pairs of feature maps from among the first to third feature maps, each weight of the plurality of weights indicating a similarity level of a corresponding pair of feature maps, and applying the temporal attention map to the first to third feature maps to generate a feature map with temporal attention.

    Method and apparatus for video super resolution using convolutional neural network with two-stage motion compensation
    28.
    发明授权
    Method and apparatus for video super resolution using convolutional neural network with two-stage motion compensation 有权

    公开(公告)号：US11599979B2

    公开(公告)日：2023-03-07

    申请号：US16887511

    申请日：2020-05-29

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Mostafa El-Khamy ,  Haoyu Ren ,  Jungwon Lee

    IPC: G06T5/50 ,  G06K9/62 ,  G06T3/00 ,  G06T3/40 ,  G06V30/24

    Abstract: A method and an apparatus are provided. The method includes receiving a video with a first plurality of frames having a first resolution; generating a plurality of warped frames from the first plurality of frames based on a first type of motion compensation; generating a second plurality of frames having a second resolution, wherein the second resolution is of higher resolution than the first resolution, wherein each of the second plurality of frames having the second resolution is derived from a subset of the plurality of warped frames using a convolutional network; and generating a third plurality of frames having the second resolution based on a second type of motion compensation, wherein each of the third plurality of frames having the second resolution is derived from a fusing a subset of the second plurality of frames.

    System and method for deep machine learning for computer vision applications
    30.
    发明授权
    System and method for deep machine learning for computer vision applications 有权

    公开(公告)号：US11429805B2

    公开(公告)日：2022-08-30

    申请号：US16872199

    申请日：2020-05-11

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Haoyu Ren ,  Mostafa El-Khamy ,  Jungwon Lee ,  Aman Raj

    IPC: G06K9/62 ,  G06N20/00 ,  G06N7/00 ,  G06T7/593 ,  G06T7/11 ,  G06T15/00

    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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