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公开(公告)号：US20210334979A1
公开(公告)日：2021-10-28
申请号：US17366691
申请日：2021-07-02
Inventor： Mian PENG , Jian WANG , Hao SUN , Xiao TAN , Errui DING
Abstract: A method of segmenting an image includes acquiring a first segmentation probability map of an input portrait image and detecting a region where a target part of the input portrait image is located. The method also includes acquiring a partial image including the target part and corresponding to the region and acquiring a partial segmentation probability map of the region in the first segmentation probability map. The method further includes segmenting the partial image in accordance with the partial segmentation probability map to acquire a second segmentation probability map. The first segmentation probability map and the second segmentation probability map are combined to acquire a segmentation result of the input portrait image.
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Patent Agency Ranking
公开(公告)号：US20210209731A1
公开(公告)日：2021-07-08
申请号：US17024253
申请日：2020-09-17
Inventor： Chao LI , Shilei WEN , Errui DING
Abstract: Embodiments of the present disclosure provide a video processing method, a video processing device and a related non-transitory computer readable storage medium. The method includes the following. Frame sequence data of a low-resolution video to be converted is obtained. Pixel tensors of each frame in the frame sequence data are inputted into a pre-trained neural network model to obtain high-resolution video frame sequence data corresponding to the video to be converted output by the neural network model. The neural network model obtains the high-resolution video frame sequence data based on high-order pixel information of each frame in the frame sequence data.
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公开(公告)号：US20200342271A1
公开(公告)日：2020-10-29
申请号：US16817419
申请日：2020-03-12
Inventor： Zhigang WANG , Jian WANG , Shilei WEN , Errui DING , Hao SUN
Abstract: The present disclosure provides a pedestrian re-identification method and apparatus, computer device and readable medium. The method comprises: collecting a target image and a to-be-identified image including a pedestrian image; obtaining a feature expression of the target image and a feature expression of the to-be-identified image respectively, based on a pre-trained feature extraction model; wherein the feature extraction model is obtained by training based on a self-attention feature of a base image as well as a co-attention feature of the base image relative to a reference image; identifying whether a pedestrian in the to-be-identified image is the same pedestrian as that in the target image according to the feature expression of the target image and the feature expression of the to-be-identified image. According to the pedestrian re-identification method of the present disclosure, the accuracy of the pedestrian re-identification can be effectively improved when the feature extraction model is used to perform the pedestrian re-identification.
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14.发明公开公开(公告)号：US20230290126A1
公开(公告)日：2023-09-14
申请号：US18115059
申请日：2023-02-28
Inventor： Pengyuan LV , Sen FAN , Chengquan ZHANG , Kun YAO , Junyu HAN , Jingtuo LIU , Errui DING , Jingdong WANG
IPC: G06V10/774 , G06V10/77 , G06V10/42 , G06V10/44 , G06V10/25
CPC classification number: G06V10/7747 , G06V10/25 , G06V10/42 , G06V10/44 , G06V10/7715 , G06V30/148
Abstract: Provided are a method for training a region of interest (ROI) detection model, a method for detecting an ROI, a device, and a medium. The specific implementation includes: performing feature extraction on a sample image to obtain a sample feature data; performing non-linear mapping on the sample feature data to obtain a first feature data and a second feature data; determining an inter-region difference data according to the second feature data and a third feature data of the first feature data in a region associated with a label ROI; and adjusting at least one of a to-be-trained feature extraction parameter and a to-be-trained feature enhancement parameter of the ROI detection model according to the inter-region difference data and the region associated with the label ROI.
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公开(公告)号：US20210312174A1
公开(公告)日：2021-10-07
申请号：US17353540
申请日：2021-06-21
Inventor： Chengquan ZHANG , Mengyi EN , Ju HUANG , Qunyi XIE , Xiameng QIN , Kun YAO , Junyu HAN , Jingtuo LIU , Errui DING
Abstract: A method and apparatus for processing an image, a device and a storage medium are provided. An implementation of the method includes: acquiring a template image, the template image including at least one region of interest; determining a first feature map corresponding to each region of interest in the template image; acquiring a target image; determining a second feature map of the target image; and determining at least one region of interest in the target image according to the first feature map and the second feature map.
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16.发明申请公开(公告)号：US20210216782A1
公开(公告)日：2021-07-15
申请号：US17144205
申请日：2021-01-08
Inventor： Tianwei LIN , Xin LI , Dongliang HE , Fu LI , Hao SUN , Shilei WEN , Errui DING
Abstract: A method and apparatus for detecting a temporal action of a video, an electronic device and a storage medium are disclosed, which relates to the field of video processing technologies. An implementation includes: acquiring an initial temporal feature sequence of a video to be detected; acquiring, by a pre-trained video-temporal-action detecting module, implicit features and explicit features of a plurality of configured temporal anchor boxes based on the initial temporal feature sequence; and acquiring, by the video-temporal-action detecting module, the starting position and the ending position of a video clip containing a specified action, the category of the specified action and the probability that the specified action belongs to the category from the plural temporal anchor boxes according to the explicit features and the implicit features of the plural temporal anchor boxes.
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