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公开(公告)号：US20190229997A1
公开(公告)日：2019-07-25
申请号：US16371909
申请日：2019-04-01
Applicant: Huawei Technologies Co., Ltd.
Inventor： Jie Cheng , Haibin Wang , Yanhua Li
IPC: H04L12/24
Abstract: A network distance prediction method and apparatus, wherein the method includes: communicating, with at least two reference nodes, to determine values of at least some elements in a local distance matrix; constructing, the local distance matrix based on the values of the at least some elements in the local distance matrix; performing, low-rank sparse factorization on the local distance matrix to obtain a low-rank matrix; obtaining, values of elements in a first element set of the low-rank matrix, to use the values as target values of network distances between the to-be-positioned node and the at least two reference nodes; communicating, with the reference nodes, to obtain coordinates of the reference nodes in a network coordinate system; and determining, coordinates of the to-be-positioned node. The embodiments of the present invention can improve accuracy of network distance prediction.
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公开(公告)号：US20220006717A1
公开(公告)日：2022-01-06
申请号：US17482042
申请日：2021-09-22
Applicant: Huawei Technologies Co., Ltd.
IPC: H04L12/26
Abstract: A method for measuring available bandwidth includes a transmit end that sends a first probe sequence to a receive end, and receives a first available bandwidth measurement result from the receive end, the transmit end determines a second probe sequence based on the first available bandwidth measurement result, where the second probe sequence includes a group of probe packets with increasing sending rates, a range of the sending rates of the second probe sequence is the same as a range of the sending rates of the first probe sequence, the transmit end sends the second probe sequence to the receive end, and receives the second available bandwidth measurement result from the receive end, and the transmit end obtains the available bandwidth based on the second available bandwidth measurement result.
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公开(公告)号：US20250014255A1
公开(公告)日：2025-01-09
申请号：US18886730
申请日：2024-09-16
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Ziyang Zhang , Yaoyuan Wang , Minglei Li , Weihua He , Yuhan Zhang , Jie Cheng
Abstract: A rendering model training method and apparatus are provided. A related video rendering method and apparatus, a device, and a storage medium are also provided. The rendering model training method includes: obtaining a first video including a face of a target object; mapping a facial action of the target object in the first video based on a three-dimensional face model, to obtain a second video including a three-dimensional face; and training an initial rendering model by using the second video as an input of the initial rendering model and using the first video as supervision of an output of the initial rendering model, to obtain a target rendering model. The second video generated based on the three-dimensional face model is used as a sample for training the rendering model.
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Patent Agency Ranking
公开(公告)号：US11463338B2
公开(公告)日：2022-10-04
申请号：US17482042
申请日：2021-09-22
Applicant: Huawei Technologies Co., Ltd.
IPC: H04L43/0882 , H04L43/106 , H04L43/12
Abstract: A method for measuring available bandwidth includes a transmit end that sends a first probe sequence to a receive end, and receives a first available bandwidth measurement result from the receive end, the transmit end determines a second probe sequence based on the first available bandwidth measurement result, where the second probe sequence includes a group of probe packets with increasing sending rates, a range of the sending rates of the second probe sequence is the same as a range of the sending rates of the first probe sequence, the transmit end sends the second probe sequence to the receive end, and receives the second available bandwidth measurement result from the receive end, and the transmit end obtains the available bandwidth based on the second available bandwidth measurement result.
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公开(公告)号：US10749754B2
公开(公告)日：2020-08-18
申请号：US16371909
申请日：2019-04-01
Applicant: Huawei Technologies Co., Ltd.
Inventor： Jie Cheng , Haibin Wang , Yanhua Li
Abstract: A network distance prediction method and apparatus, wherein the method includes communicating, with at least two reference nodes, to determine values of at least some elements in a local distance matrix; constructing, the local distance matrix based on the values of the at least some elements in the local distance matrix; performing, low-rank sparse factorization on the local distance matrix to obtain a low-rank matrix; obtaining, values of elements in a first element set of the low-rank matrix, to use the values as target values of network distances between the to-be-positioned node and the at least two reference nodes; communicating, with the reference nodes, to obtain coordinates of the reference nodes in a network coordinate system; and determining, coordinates of the to-be-positioned node.
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公开(公告)号：US12217477B2
公开(公告)日：2025-02-04
申请号：US17680668
申请日：2022-02-25
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Gang Pan , Qianhui Liu , Lei Jiang , Jie Cheng , Haibo Ruan , Dong Xing , Huajin Tang , De Ma
Abstract: In an object recognition method, an object recognition device obtains AER data of a to-be-recognized object, wherein the AER data includes a plurality of AER events of the to-be-recognized object, each AER event comprising a timestamp and address information. The object recognition device extracts a plurality of feature maps of the AER data. Each feature map including partial spatial information and partial temporal information of the to-be-recognized object, and the partial spatial information and the partial temporal information are obtained based on the timestamp and the address information of each AER event. The object recognition device then recognizes the to-be-recognized object based on the plurality of feature maps of the AER data.
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公开(公告)号：US12299911B2
公开(公告)日：2025-05-13
申请号：US18064144
申请日：2022-12-09
Inventor： Jie Cheng , Lei Jiang , Yang Cao , Zhengjun Zha
IPC: G06T7/10 , G06T7/40 , G06V10/44 , G06V10/771 , G06V10/82
Abstract: An image processing method and apparatus, and a storage medium are provided, and relate to the image processing field. A dependency relationship between features of texture primitives of an image may be obtained based on direction information and a multi-scale feature map of the image, at least one group of texture features of the image may be obtained based on a feature map of the image on at least one scale, and a texture representation result of the image may be obtained based on the dependency relationship and the at least one group of texture features. Then, the image may be processed based on the texture representation result of the image. Because the texture representation result of the image can reflect more perfect texture information of the image, an image processing effect is better when image processing such as image recognition, image segmentation, or image synthesis is performed.
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公开(公告)号：US20220180619A1
公开(公告)日：2022-06-09
申请号：US17680668
申请日：2022-02-25
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Gang Pan , Qianhui Liu , Lei Jiang , Jie Cheng , Haibo Ruan , Dong Xing , Huajin Tang , De Ma
Abstract: In an object recognition method, an object recognition device obtains AER data of a to-be-recognized object, wherein the AER data includes a plurality of AER events of the to-be-recognized object, each AER event comprising a timestamp and address information. The object recognition device extracts a plurality of feature maps of the AER data. Each feature map including partial spatial information and partial temporal information of the to-be-recognized object, and the partial spatial information and the partial temporal information are obtained based on the timestamp and the address information of each AER event. The object recognition device then recognizes the to-be-recognized object based on the plurality of feature maps of the AER data.
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