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公开(公告)号：US11641446B2
公开(公告)日：2023-05-02
申请号：US17643687
申请日：2021-12-10
Inventor： Chao Li
Abstract: The disclosure discloses a method for video frame interpolation. The method includes: obtaining a first visual semantic feature and first pixel information of a first frame, and obtaining a second visual semantic feature and second pixel information of a second frame; generating semantic optical flow information based on the first visual semantic feature and the second visual semantic feature; generating pixel optical flow information based on the first pixel information and the second pixel information; and generating an interpolation frame between the first frame and the second frame based on the semantic optical flow information and the pixel optical flow information, and interpolating the interpolation frame between the first frame and the second frame.
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公开(公告)号：US20230130006A1
公开(公告)日：2023-04-27
申请号：US18145724
申请日：2022-12-22
Inventor： Dongliang HE , Errui DING , Haifeng WANG
IPC: G06V20/40 , G06V10/774 , G06V10/86 , G06F16/73 , G06F16/783
Abstract: The present application provides a method of processing a video, a method of querying a video, and a method of training a video processing model. A specific implementation solution of the method of processing the video includes: extracting, for a video to be processed, a plurality of video features under a plurality of receptive fields; extracting a local feature of the video to be processed according to a video feature under a target receptive field in the plurality of receptive fields; obtaining a global feature of the video to be processed according to a video feature under a largest receptive field in the plurality of receptive fields; and merging the local feature and the global feature to obtain a target feature of the video to be processed.
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公开(公告)号：US20230127699A1
公开(公告)日：2023-04-27
申请号：US18088872
申请日：2022-12-27
Inventor： Ji Liu , Sunjie Yu , Weijia Zhang , Hao Liu , Hengshu Zhu , Dejing Dou , Hui Xiong
Abstract: A method of training a model, a method of determining an asset valuation, a device, a storage medium, and a program product, which relate to a field of artificial intelligence, in particular to fields of deep learning and natural language understanding. A specific implementation can include: determining an event-level representation according to a first set of feature data; performing a multi-task learning for a first model according to the event-level representation, to obtain first price distribution data, and transmitting the first price distribution data to a central server; determining a first intra-region representation according to a second set of feature data; adding a noise signal to the first intra-region representation, and transmitting the noised intra-region representation to a client; and adjusting a parameter of the first model according to a noised parameter gradient in response to the noised parameter gradient being received from the central server.
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公开(公告)号：US20230127654A1
公开(公告)日：2023-04-27
申请号：US18088165
申请日：2022-12-23
Inventor： ZHUO SUN , Tianxing YANG , Chen YANG
Abstract: A method for knowledge answering includes: receiving a user question entered by a client, and obtaining a target insurance rule matching the user question from a plurality of insurance rules; searching for an answer in an insurance knowledge graph based on the target insurance rule, in which the insurance knowledge graph is generated based on the plurality of insurance rules; and returning the answer to the client.
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145.发明申请公开(公告)号：US20230120253A1
公开(公告)日：2023-04-20
申请号：US18082997
申请日：2022-12-16
Inventor： Jie Li , Haojie LIU , Yan ZHANG , Xuecen SHEN , Ruizhi CHEN , Chen ZHAO , Yuqiao TENG , Errui DING , Tian WU , Haifeng WANG
Abstract: A method and apparatus for generating a virtual character, an electronic device and a computer readable storage medium are provided. The method includes: performing mesh simplification on an initial model of a virtual character to obtain a mesh-simplified model; obtaining a first target model by performing white model mapping rendering on an area of each material type on the mesh-simplified model, and obtaining a second target model by performing hyper-realistic rendering on the area of each material type on the mesh-simplified model; and establishing a bidirectional mapping between the first target model and the second target model, and obtaining a target virtual character through iterative updating of the bidirectional mapping.
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Patent Agency Ranking
公开(公告)号：US20230117255A1
公开(公告)日：2023-04-20
申请号：US18084444
申请日：2022-12-19
Inventor： Donghai BIAN , Yuwei Wu , Guangzhi Sheng , Yehan Zheng , Weihua Peng , Weijian Xu
Abstract: A method for processing video data includes: acquiring a target segment of video data to be extracted; acquiring theme information to be extracted; and determining an association degree between the target segment and the theme information based on segment information of the video data and a relationship between the target segment and the video data.
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公开(公告)号：US20230113019A1
公开(公告)日：2023-04-13
申请号：US18080549
申请日：2022-12-13
Inventor： Hanyu PENG , Weiguo PIAN , Mingming SUN , Ping LI
IPC: G06N20/00
Abstract: A method for generating a model includes: obtaining training data for training a target model, in which the training data includes labeled data and unlabeled data; obtaining a first output result by the target model based on the labeled data; obtaining a second output result by the target model based on the unlabeled data; and obtaining an optimized target model by optimizing the target model based on the first output result and the second output result.
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公开(公告)号：US20230112576A1
公开(公告)日：2023-04-13
申请号：US18053303
申请日：2022-11-07
Inventor： Haocheng LIU , Cai CHEN , Bohao FENG , Shijie XU , Jian TIAN
IPC: G06N3/047
Abstract: Data processing techniques are provided. The techniques include: obtaining a first prediction data set, a model feature list and configuration information, wherein the model feature list indicates a plurality of features required by a data analysis model; generating a second prediction data set based on the model feature list and the first prediction data set, wherein the feature dimension of prediction data in the second prediction data set is smaller than the feature dimension of prediction data in the first prediction data set; performing feature transformation on a feature of the prediction data in the second prediction data set based on the configuration information to generate a third prediction data set; and inputting the third prediction data set into the data analysis model to obtain a prediction result.
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公开(公告)号：US20230111782A1
公开(公告)日：2023-04-13
申请号：US17964177
申请日：2022-10-12
Inventor： Tong JIN
Abstract: Request processing method based on a consortium blockchain, a device, and a storage medium. The implementation solution is: receiving a transaction processing request from a first party authority proxy service of a first party blockchain node through a second party authority proxy service of a second party blockchain node; performing authority verification on the transaction processing request; and in a case where the authority verification passes, sending the transaction processing request to the second party blockchain node to make the second party blockchain node process the transaction processing request. Therefore, the flexibility and convenience of request processing can be improved.
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公开(公告)号：US20230102422A1
公开(公告)日：2023-03-30
申请号：US17807375
申请日：2022-06-16
Inventor： Desen ZHOU , Jian WANG , Hao SUN
Abstract: Provided is an image recognition method. The method includes determining subject decoded features of a to-be-detected image and an original interaction decoded feature of a subject interactive relationship in the to-be-detected image; determining subject decoded features associated with the original interaction decoded feature, and updating the original interaction decoded feature by using the associated subject decoded features so as to obtain a new interaction decoded feature; and according to the subject decoded features of the to-be-detected image and the new interaction decoded feature, determining at least two subjects to which the subject interactive relationship in the to-be-detected belongs.
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