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公开(公告)号：US20230052389A1
公开(公告)日：2023-02-16
申请号：US17976662
申请日：2022-10-28
Inventor： Desen ZHOU , Jian WANG , Hao SUN
Abstract: A human-object interaction detection method, a neural network and a training method therefor is provided. The human-object interaction detection method includes: extracting a plurality of first target features and one or more first motion features from an image feature of an image to be detected; fusing each first target feature and some of the first motion features to obtain enhanced first target features; fusing each first motion feature and some of the first target features to obtain enhanced first motion features; processing the enhanced first target features to obtain target information of a plurality of targets including human targets and object targets; processing the enhanced first motion features to obtain motion information of one or more motions, where each motion is associated with one human target and one object target; and matching the plurality of targets with the one or more motions to obtain a human-object interaction detection result.
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公开(公告)号：US20230047748A1
公开(公告)日：2023-02-16
申请号：US17974073
申请日：2022-10-26
Inventor： Fu LI , Tianwei LIN
IPC: G06V10/774 , G06T5/50 , G06V10/82
Abstract: A method of fusing an image, a method of training an image fusion model, an electronic device, and a storage medium. The method of fusing the image includes: encoding a stitched image obtained by stitching a foreground image and a background image, so as to obtain a feature map; and decoding the feature map to obtain a fused image, wherein the feature map is decoded by: performing a weighting on the feature map by using an attention mechanism, so as to obtain a weighted feature map; performing a fusion on the feature map according to feature statistical data of the weighted feature map, so as to obtain a fused feature; and decoding the fused feature to obtain the fused image.
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公开(公告)号：US11581021B2
公开(公告)日：2023-02-14
申请号：US17207132
申请日：2021-03-19
Inventor： Weiguo Li
IPC: G11B27/10 , G06V20/40 , G10L15/18 , G10L15/22 , G10L25/57 , H04N21/472 , H04N21/488 , H04N21/44 , H04N21/845 , H04N21/439
Abstract: The disclosure provides a method for locating a video playing node, and relates to fields of big data and video processing. The method includes: selecting a target video out from a plurality of videos; and sending the target video, a plurality of subtitle text segments of the target video and start time information of each of the plurality of subtitle text segments to a client, to cause the client to display the plurality of subtitle text segments, and determine, in response to a trigger operation on an any subtitle text segment of the plurality of subtitle text segments, a start playing node of the target video based on the start time information of the any subtitle text segment. The disclosure further provides an apparatus for locating a video playing node, an electronic device and a storage medium.
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公开(公告)号：US20230044508A1
公开(公告)日：2023-02-09
申请号：US17970755
申请日：2022-10-21
Inventor： Yaping ZHANG , Haoran GAO
IPC: G06K9/62
Abstract: A data labeling processing method and apparatus, an electronic device, and a medium are provided. A method includes: determining an item feature of an item to be labeled and a resource feature of a labeling end to be matched; determining a co-occurrence feature for the item to be labeled and the labeling end to be matched; obtaining a classification result based on the item feature, the resource feature, and the co-occurrence feature, wherein the classification result indicates whether the labeling end to be matched is matched with the item to be labeled; and sending the item to be labeled to the labeling end to be matched based on the classification result.
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公开(公告)号：US20230042838A1
公开(公告)日：2023-02-09
申请号：US17879906
申请日：2022-08-03
Inventor： Jianbo ZHU
IPC: G06N3/04
Abstract: A method for data processing, an electronic device, and a computer-readable storage medium, which relate to the field of computers. The method includes: acquiring a scheduling information for a perception model based on a user application; determining, based on the scheduling information for the perception model, a scheduling set of the perception model, where the scheduling set of the perception model comprises one or more sub-models of a plurality of sub-models of the perception model; and running, based on perception data from a data collection device, the one or more sub-models of the scheduling set of the perception model, so as to output one or more perception results corresponding to the one or more sub-models.
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Patent Agency Ranking
公开(公告)号：US20230039293A1
公开(公告)日：2023-02-09
申请号：US17973326
申请日：2022-10-25
Inventor： Feng TIAN , Daochen CHONG , Yuting LIU
Abstract: A method of processing an image, an electronic device, and a storage medium, which relate to the artificial intelligence field, in particular to fields of computer vision and intelligent transportation technologies. The method includes: determining at least one key frame image in a scene image sequence captured by a target camera; determining a camera pose parameter associated with each key frame image in the at least one key frame image, according to a geographic feature associated with the key frame image; and projecting each scene image in the scene image sequence to obtain a target projection image according to the camera pose parameter associated with the key frame image, so as to generate a scene map based on the target projection image. The geographic feature associated with any key frame image indicates localization information of the target camera at a time instant of capturing the corresponding key frame image.
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467.发明申请公开(公告)号：US20230036338A1
公开(公告)日：2023-02-02
申请号：US17963384
申请日：2022-10-11
Inventor： Fanglong Liu , Xin Li , Dongliang He
Abstract: A method and apparatus for generating an image restoration model, a medium and a program product are provided. The method includes: obtaining a first image and a second image, wherein the second image is an image obtained by restoring the first image; synthesizing images corresponding to feature points of the first image and the first image to obtain a synthesized image; and performing training by using the second image and the synthesized image to obtain an image restoration model.
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468.发明申请公开(公告)号：US20230035954A1
公开(公告)日：2023-02-02
申请号：US17844094
申请日：2022-06-20
Inventor： Jing HU , Guodong ZHAO
IPC: G16B45/00 , G16B40/20 , G16H50/50 , G06K9/62 , G06F16/901
Abstract: The present disclosure discloses a method for establishing a medicine synergism prediction model, a prediction method and corresponding apparatus, and relates to deep learning and artificial intelligence (AI) medical technologies in the field of AI technologies. A specific implementation solution includes: acquiring a relation graph, nodes in the relation graph including medicine nodes and protein nodes, and edges indicating that interaction exists between the nodes; collecting, from the relation graph, a medicine node pair with definite synergism and a label of whether the medicine node pair has synergism as training samples; and training the medicine synergism prediction model by taking the medicine node pair in the training samples as input to the medicine synergism prediction model and taking the label of whether the medicine node pair has synergism as target output; wherein the medicine synergism prediction model is obtained by learning the relation graph based on a graph convolutional network.
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469.发明申请公开(公告)号：US20230031709A1
公开(公告)日：2023-02-02
申请号：US17814135
申请日：2022-07-21
Inventor： Zhihua YU , Jianfeng SUN , Yun ZHAO , Ganghui WANG , Yanfu ZHANG
IPC: B60W60/00
Abstract: The present disclosure provides an autonomous driving vehicle detection method and apparatus, an electronic device and a readable storage medium, and relates to the field of computer technologies, and in particular, to the field of artificial intelligence technologies such as intelligent transportation and autonomous driving technologies. A specific implementation solution involves: acquiring passengers' ride information on an autonomous driving vehicle; determining a vehicle component change state of the autonomous driving vehicle according to the ride information of the autonomous driving vehicle; wherein the vehicle component change state includes a door change state of the autonomous driving vehicle and a seat belt change state of the autonomous driving vehicle; and determining a seat load of the autonomous driving vehicle according to the vehicle component change state of the autonomous driving vehicle.
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公开(公告)号：US20230031579A1
公开(公告)日：2023-02-02
申请号：US17938457
申请日：2022-10-06
Inventor： Guanghua YU , Qingqing DANG , Haoshuang WANG , Guanzhong WANG , Xiaoguang HU , Dianhai YU , Yanjun MA , Qiwen LIU , Can WEN
IPC: G06V10/77 , G06V10/82 , G06V10/764 , G06V10/80
Abstract: A method for detecting an object in an image includes: obtaining an image to be detected; generating a plurality of feature maps based on the image to be detected by a plurality of feature extracting networks in a neural network model trained for object detection, in which the plurality of feature extracting networks are connected sequentially, and input data of a latter feature extracting network in the plurality of feature extracting networks is based on output data and input data of a previous feature extracting network; and generating an object detection result based on the plurality of feature maps by an object detecting network in the neural network model.
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