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61.发明授权公开(公告)号：US11989962B2
公开(公告)日：2024-05-21
申请号：US17559643
申请日：2021-12-22
Inventor： Chao Ma , Jingshuai Zhang , Qifan Huang , Kaichun Yao , Peng Wang , Hengshu Zhu
IPC: G06V30/00 , G06V30/148 , G06V30/18 , G06V30/262 , G06V30/41
CPC classification number: G06V30/153 , G06V30/18181 , G06V30/274 , G06V30/41
Abstract: A method, an apparatus, a device, a storage medium and a program product of performing a text matching are provided, which relate to a field of a computer technology, and in particular to natural language processing and deep learning technologies. The method includes: determining a word set and a plurality of semantic units from a text set, the word set is associated with a first predetermined attribute, and the text set contains a plurality of first texts indicating an object information and a plurality of second texts indicating an object demand information; generating a graph; and generating a final feature representation associated with the text set and the word set based on the graph and a graph convolution model, so as to perform the text matching.
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公开(公告)号：US11983086B2
公开(公告)日：2024-05-14
申请号：US17989644
申请日：2022-11-17
Inventor： Haifeng Wang , Xiaoguang Hu , Dianhai Yu , Xiang Lan , Yanjun Ma
CPC classification number: G06F11/3409 , G06N3/063
Abstract: The disclosure provides a method for processing data, and an electronic device. The method includes: obtaining first attribute information of input data and second attribute information of a computing device corresponding to the input data; selecting a target operator implementation mode from a plurality of candidate operator implementation modes based on the first attribute information and the second attribute information; determining a plurality of sub-operators included in an operator required for the input data from an operator library based on the target operator implementation mode, to generate the operator; and obtaining an operation result by performing an operation on the input data by the computing device based on the operator.
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公开(公告)号：US20240144570A1
公开(公告)日：2024-05-02
申请号：US17794081
申请日：2022-01-29
Inventor： Qu CHEN , Xiaoqing YE , Xiao TAN , Hao SUN
Abstract: A method and apparatus for generating a drivable 3D character, an electronic device and a storage medium are disclosed, which relate to the field of artificial intelligence, such as computer vision, deep learning, or the like, and may be applied to 3D vision and other scenarios. The method may include: acquiring a 3D human body mesh model corresponding to a to-be-processed 2D image; performing a skeleton embedding operation on the 3D human body mesh model; and performing a skin binding operation on the 3D human body mesh model after the skeleton embedding operation to obtain a drivable 3D human body mesh model.
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公开(公告)号：US20240143000A1
公开(公告)日：2024-05-02
申请号：US18409710
申请日：2024-01-10
Inventor： Yu TIAN , Qingrui SUN , Jingchao FENG , Pengjie ZHENG , Dengyu XIAO , Xiaoteng YUAN , Liming XIA
IPC: G05D1/80 , G05D1/227 , G05D109/10 , G05D111/10
CPC classification number: G05D1/80 , G05D1/227 , G05D2109/10 , G05D2111/10
Abstract: A method is provided that includes: obtaining a first state information of the remote driving system, where the remote driving system is configured to perform remote control on a vehicle communicatively connected with the remote driving system; determining whether an abnormality occurs in the remote driving system based on the first state information; determining abnormality information of the remote driving system in response to the occurrence of the abnormality in the remote driving system; and adjusting a state of the remote control based on the abnormality information.
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公开(公告)号：US11953609B2
公开(公告)日：2024-04-09
申请号：US17711339
申请日：2022-04-01
Inventor： Shenhua Hou , Yuzhe He , Liang Peng , Guowei Wan
CPC classification number: G01S19/48 , G01S19/485 , G01S19/49 , G01S19/53 , G01S5/0258 , G01S19/45 , G01S19/47
Abstract: The present disclosure provides a vehicle positioning method, an apparatus and an autonomous driving vehicle, relating to autonomous driving in the technical field of artificial intelligence, which can be applied to high-definition positioning of the autonomous driving vehicle, the method including: if there is no high-definition map in a vehicle, acquiring intermediate pose information of the vehicle based on a global navigation satellite system and/or an inertial measurement unit in the vehicle, and determining the intermediate pose information as global positioning information; acquiring local positioning information; performing fusion processing to the global pose information and the local pose information to obtain fused pose information; performing compensation processing to the fused pose information according to the global attitude angle information and the local attitude angle information to obtain a position of the vehicle.
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Patent Agency Ranking
公开(公告)号：US11953605B2
公开(公告)日：2024-04-09
申请号：US17151482
申请日：2021-01-18
Inventor： Chongchong Li , Jun Wang
IPC: G01S17/931 , G01S17/89 , G05D1/00 , G06F30/15 , G08G1/01
CPC classification number: G01S17/931 , G01S17/89 , G05D1/0248 , G06F30/15 , G08G1/0104 , G05D2201/0213
Abstract: The present application discloses a method, a device, equipment, and storage medium for determining a sensor solution, where the method includes: establishing a simulated unmanned vehicle and a simulation scene, where the simulation scene is used for the simulated unmanned vehicle to perform simulation driving; determining a first sensor solution according to a initialization parameter, and determining, according to the first sensor solution, simulation data generated by the simulated unmanned vehicle during the simulation driving in the simulation scene; and; and determining a first perception parameter of the first sensor solution according to the simulation data, and correcting the first sensor solution according to the first perception parameter to obtain a sensor solution applied to an unmanned vehicle.
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67.发明授权公开(公告)号：US11948236B2
公开(公告)日：2024-04-02
申请号：US17527473
申请日：2021-11-16
Inventor： Shaoxiong Yang , Yang Zhao , Chen Zhao
CPC classification number: G06T13/40 , G06T13/205 , G06V20/46 , G06V40/165 , G06V40/171 , G06V40/174 , G10L15/26
Abstract: The present disclosure discloses a method and apparatus for generating animation. An implementation of the method may include: processing a to-be-processed material to generate a normalized text; analyzing the normalized text to generate a Chinese pinyin sequence of the normalized text; generating a reference audio based on the to-be-processed material; and obtaining a animation of facial expressions corresponding to the timing sequence of the reference audio based on the Chinese pinyin sequence and the reference audio.
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公开(公告)号：US11947552B2
公开(公告)日：2024-04-02
申请号：US17947659
申请日：2022-09-19
Inventor： Xu Li , Yunfeng Cai , Mingming Sun , Ping Li
IPC: G06F17/00 , G06F16/22 , G06F16/2458
CPC classification number: G06F16/2465 , G06F16/2237
Abstract: A method for discovering causality from data includes acquiring to-be-processed data, and obtaining a covariance matrix of the to-be-processed data; determining a first target column in the covariance matrix, taking the number of columns of the first target column as a first place in a rearrangement sequence, and obtaining a first upper triangular matrix according to the first target column; determining a position of the number of columns of the covariance matrix other than the first target column except the first place in the rearrangement sequence according to the first target column and the first upper triangular matrix, and obtaining an upper triangular matrix in each position determination; obtaining an adjacency matrix according to an upper triangular matrix and a rearrangement sequence obtained in final position determination; and generating directed acyclic graph (DAG) by using the adjacency matrix, and taking the DAG as causality discovery result of the to-be-processed data.
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公开(公告)号：US20240104403A1
公开(公告)日：2024-03-28
申请号：US18521061
申请日：2023-11-28
Inventor： Yaqing Wang , Hongming Piao , Longteng Xu , Daxiang Dong , Jingbo Zhou
IPC: G06N5/022
CPC classification number: G06N5/022
Abstract: A method for training a click rate prediction model includes: obtaining sample feature information and a label value, in which the sample feature information includes feature information of a sample user and feature information of a target object, and the label value is configured to indicate whether the sample user interacts with the target object; obtaining a plurality of adjacent matrixes for feature interaction by processing the feature information of the target object based on the hypernetwork module; obtaining a click rate prediction value of the sample user on the target object using the prediction module, according to the sample feature information and the plurality of adjacent matrixes; and training the click rate prediction model according to the label value and the click rate prediction value.
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公开(公告)号：US20240104154A1
公开(公告)日：2024-03-28
申请号：US18016754
申请日：2022-07-25
Inventor： Zhou CHENG
IPC: G06F16/9538 , G06N3/0455
CPC classification number: G06F16/9538 , G06N3/0455
Abstract: A method is provided that includes: determining a plurality of recall data associated with data to be searched; determining, for each recall data of the plurality of recall data, a recommendation degree of the recall data based on a similarity between the recall data and each recall data of the plurality of recall data; and ranking the recall data in the plurality of recall data based on the recommendation degree of each recall data of the plurality of recall data.
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