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公开(公告)号：US20190095795A1
公开(公告)日：2019-03-28
申请号：US16138279
申请日：2018-09-21
Applicant: Samsung Electronics Co., Ltd.
Inventor： Haoyu Ren , Mostafa El-Khamy , Jungwon Lee
Abstract: Apparatuses and methods of manufacturing same, systems, and methods are described. In one aspect, a method includes generating a convolutional neural network (CNN) by training a CNN having three or more convolutional layers, and performing cascade training on the trained CNN. The cascade training includes an iterative process of one or more stages, in which each stage includes inserting a residual block (ResBlock) including at least two additional convolutional layers and training the CNN with the inserted ResBlock.
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公开(公告)号：US12026627B2
公开(公告)日：2024-07-02
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
CPC classification number: G06N3/088 , G06F18/21 , G06N7/01 , G06N20/00 , G06T7/11 , G06T7/593 , G06T15/00 , G06V10/82 , G06T2200/08 , G06T2207/10028 , G06T2207/20081 , G06T2207/20132
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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13.发明授权公开(公告)号：US11094072B2
公开(公告)日：2021-08-17
申请号：US16574770
申请日：2019-09-18
Applicant: Samsung Electronics Co., Ltd.
Inventor： Haoyu Ren , Mostafa El-Khamy , Jungwon Lee
Abstract: A method and system for determining depth information of an image are herein provided. According to one embodiment, the method includes receiving an image input, classifying the input image into a depth range of a plurality of depth ranges, and determining a depth map of the image by applying depth estimation based on the depth range into which the input image is classified.
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公开(公告)号：US10970820B2
公开(公告)日：2021-04-06
申请号：US16693146
申请日：2019-11-22
Applicant: Samsung Electronics Co., Ltd.
Inventor： Mostafa El-Khamy , Jungwon Lee , Haoyu Ren
Abstract: In a method for super resolution imaging, the method includes: receiving, by a processor, a low resolution image; generating, by the processor, an intermediate high resolution image having an improved resolution compared to the low resolution image; generating, by the processor, a final high resolution image based on the intermediate high resolution image and the low resolution image; and transmitting, by the processor, the final high resolution image to a display device for display thereby.
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公开(公告)号：US20200090305A1
公开(公告)日：2020-03-19
申请号：US16693146
申请日：2019-11-22
Applicant: Samsung Electronics Co., Ltd.
Inventor： Mostafa El-Khamy , Jungwon Lee , Haoyu Ren
Abstract: In a method for super resolution imaging, the method includes: receiving, by a processor, a low resolution image; generating, by the processor, an intermediate high resolution image having an improved resolution compared to the low resolution image; generating, by the processor, a final high resolution image based on the intermediate high resolution image and the low resolution image; and transmitting, by the processor, the final high resolution image to a display device for display thereby.
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Patent Agency Ranking
公开(公告)号：US20180293707A1
公开(公告)日：2018-10-11
申请号：US15671036
申请日：2017-08-07
Applicant: Samsung Electronics Co., Ltd.
Inventor： Mostafa El-Khamy , Jungwon Lee , Haoyu Ren
IPC: G06T3/40
Abstract: In a method for super resolution imaging, the method includes: receiving, by a processor, a low resolution image; generating, by the processor, an intermediate high resolution image having an improved resolution compared to the low resolution image; generating, by the processor, a final high resolution image based on the intermediate high resolution image and the low resolution image; and transmitting, by the processor, the final high resolution image to a display device for display thereby.
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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
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.
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公开(公告)号：US11995856B2
公开(公告)日：2024-05-28
申请号：US18080599
申请日：2022-12-13
Applicant: Samsung Electronics Co., Ltd.
Inventor： Haoyu Ren , Mostafa El Khamy , Jungwon Lee
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.
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公开(公告)号：US11861859B2
公开(公告)日：2024-01-02
申请号：US17131129
申请日：2020-12-22
Applicant: Samsung Electronics Co., Ltd.
Inventor： Mostafa El-Khamy , Jungwon Lee , Haoyu Ren
IPC: G06T7/593 , H04N13/239 , H04N13/00
CPC classification number: G06T7/593 , G06T2207/20021 , G06T2207/20081 , H04N13/239 , H04N2013/0081
Abstract: Method and systems are provided for robust disparity estimation based on cost-volume attention. A method includes extracting first feature maps from left images captured by a first camera; extracting second feature maps from right images captured by a second camera; calculating a matching cost based on a comparison of the first and second feature maps to generate a cost volume; generating an attention-aware cost volume from the generated cost volume; and aggregating the attention-aware cost volume to generate an output disparity.
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20.发明授权公开(公告)号：US11790489B2
公开(公告)日：2023-10-17
申请号：US17133785
申请日：2020-12-24
Applicant: Samsung Electronics Co., Ltd.
Inventor： Haoyu Ren , Amin Kheradmand , Mostafa El-Khamy , Shuangquan Wang , Dongwoon Bai , Jungwon Lee
CPC classification number: G06T3/4046 , G06N3/045 , G06N3/088 , G06T3/4053
Abstract: A method and apparatus are provided. The method includes generating a dataset for real-world super resolution (SR), training a first generative adversarial network (GAN), training a second GAN, and fusing an output of the first GAN and an output of the second GAN.
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