Patents by Inventor Chunhua Shen
Chunhua Shen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240195541Abstract: Certain aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for xx. A method that may be performed by a user equipment (UE) includes receiving, from a network entity, a first transport block (TB) comprising one or more code blocks (CBs), transmitting, to the network entity, an indication of a preferred code block group (CBG) allocation scheme selected for re-transmission of at least one CB of the one or more CBs based, at least in part, on a decoding status for each of the one or more CBs, and receiving, from the network entity, the at least one CB re-transmitted in accordance with the preferred CBG allocation scheme.Type: ApplicationFiled: June 3, 2021Publication date: June 13, 2024Inventors: Chunhua LIU, Shanshan HEI, Jing ZHOU, Xuanfan SHEN, Hao ZHAO, Weikai ZHANG, Dimeng WANG
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Patent number: 12008797Abstract: This application discloses an image segmentation method in the field of artificial intelligence. The method includes: obtaining an input image and a processing requirement; performing multi-layer feature extraction on the input image to obtain a plurality of feature maps; downsampling the plurality of feature maps to obtain a plurality of feature maps with a reference resolution, where the reference resolution is less than a resolution of the input image; fusing the plurality of feature maps with the reference resolution to obtain at least one feature map group; upsampling the feature map group by using a transformation matrix W, to obtain a target feature map group; and performing target processing on the target feature map group based on the processing requirement to obtain a target image.Type: GrantFiled: July 22, 2021Date of Patent: June 11, 2024Assignee: Huawei Technologies Co., Ltd.Inventors: Zhi Tian, Tong He, Chunhua Shen, Youliang Yan, Songcen Xu, Yiren Zhou, Xiaofei Wu, Jianzhuang Liu
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Publication number: 20240105812Abstract: A nitride-based semiconductor device includes a first nitride-based semiconductor layer, a second nitride-based semiconductor layer, a third nitride-based semiconductor layer, a passivation layer, a gate insulator layer, and a gate electrode. The first nitride-based semiconductor layer includes at least two doped barrier regions defining an aperture between the doped barrier regions. The second nitride-based semiconductor layer is disposed over first nitride-based semiconductor layer. The third nitride-based semiconductor layer is disposed on the second nitride-based semiconductor layer and has a bandgap higher than a bandgap of the second nitride-based semiconductor layer. The passivation layer is disposed over the third nitride-based semiconductor layer, in which a vertical projection of the passivation layer on the first nitride-based semiconductor layer is spaced apart from the aperture. The gate insulator layer is disposed over the third nitride-based semiconductor layer.Type: ApplicationFiled: December 17, 2021Publication date: March 28, 2024Inventors: Chao YANG, Chunhua ZHOU, Yong LIU, Qiyue ZHAO, Jingyu SHEN
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Publication number: 20220335619Abstract: An instance segmentation method and apparatus are provided. A to-be-trained segmentation network performs the following processing on each instance group that is in a sample original image and that is of pixels of a marked instance, where each instance group includes at least one marked instance, and the processing includes: predicting at least two different first basic feature maps and a first attention feature map corresponding to each first basic feature map; performing weighted processing on the at least two first basic feature maps and pixel values of respective first attention feature maps corresponding to the at least two first basic feature maps, to obtain a first feature fusion map; and training the to-be-trained segmentation network based on the first feature fusion map and the sample original image. A segmentation model can precisely determine pixels of an instance in an original image.Type: ApplicationFiled: June 29, 2022Publication date: October 20, 2022Inventors: Kunyang SUN, Hao CHEN, Chunhua SHEN, Youliang YAN, Bin SHAO, Songcen XU
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Publication number: 20210350168Abstract: This application discloses an image segmentation method in the field of artificial intelligence. The method includes: obtaining an input image and a processing requirement; performing multi-layer feature extraction on the input image to obtain a plurality of feature maps; downsampling the plurality of feature maps to obtain a plurality of feature maps with a reference resolution, where the reference resolution is less than a resolution of the input image; fusing the plurality of feature maps with the reference resolution to obtain at least one feature map group; upsampling the feature map group by using a transformation matrix W, to obtain a target feature map group; and performing target processing on the target feature map group based on the processing requirement to obtain a target image.Type: ApplicationFiled: July 22, 2021Publication date: November 11, 2021Inventors: Zhi TIAN, Tong HE, Chunhua SHEN, Youliang YAN, Songcen XU, Yiren ZHOU, Xiaofei WU, Jianzhuang LIU
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Patent number: 10062303Abstract: This invention concerns the tracking of objects in video data for artificial vision; for instance for a bionic eye. More particularly, the invention concerns a vision enhancement apparatus for a vision-impaired user. In other aspects, the invention concerns a method for enhancing vision and software to perform the method. The image processor operates to process video data representing images of a scene. Automatically detect and track a user selected object, such as a face, in the images. And, automatically modify the video data, by reserving a user selected area of the displayed images for displaying the tracked object as a separate video tile within the scene. The separate video tile remains in the selected area despite movement of the camera relative to the scene, or movement of the user relative to the object or the scene.Type: GrantFiled: May 31, 2017Date of Patent: August 28, 2018Assignee: NATIONAL ICT AUSTRALIA LIMITEDInventors: Nick Barnes, Chunhua Shen
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Publication number: 20170263153Abstract: This invention concerns the tracking of objects in video data for artificial vision; for instance for a bionic eye. More particularly, the invention concerns a vision enhancement apparatus for a vision-impaired user. In other aspects, the invention concerns a method for enhancing vision and software to perform the method. The image processor operates to process video data representing images of a scene. Automatically detect and track a user selected object, such as a face, in the images. And, automatically modify the video data, by reserving a user selected area of the displayed images for displaying the tracked object as a separate video tile within the scene. The separate video tile remains in the selected area despite movement of the camera relative to the scene, or movement of the user relative to the object or the scene.Type: ApplicationFiled: May 31, 2017Publication date: September 14, 2017Inventors: Nick Barnes, Chunhua Shen
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Patent number: 9697746Abstract: This invention concerns the tracking of objects in video data for artificial vision; for instance for a bionic eye. More particularly, the invention concerns a vision enhancement apparatus for a vision-impaired user. In other aspects, the invention concerns a method for enhancing vision and software to perform the method. The image processor operates to process video data representing images of a scene. Automatically detect and track a user selected object, such as a face, in the images. And, automatically modify the video data, by reserving a user selected area of the displayed images for displaying the tracked object as a separate video tile within the scene. The separate video tile remains in the selected area despite movement of the camera relative to the scene, or movement of the user relative to the object or the scene.Type: GrantFiled: September 30, 2010Date of Patent: July 4, 2017Assignee: National ICT Australia LimitedInventors: Nick Barnes, Chunhua Shen
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Publication number: 20120212594Abstract: This invention concerns the tracking of objects in video data for artificial vision; for instance for a bionic eye. More particularly, the invention concerns a vision enhancement apparatus for a vision-impaired user. In other aspects, the invention concerns a method for enhancing vision and software to perform the method. The image processor operates to process video data representing images of a scene. Automatically detect and track a user selected object, such as a face, in the images. And, automatically modify the video data, by reserving a user selected area of the displayed images for displaying the tracked object as a separate video tile within the scene. The separate video tile remains in the selected area despite movement of the camera relative to the scene, or movement of the user relative to the object or the scene.Type: ApplicationFiled: September 30, 2010Publication date: August 23, 2012Applicant: National ICT Australia LimitedInventors: Nick Barnes, Chunhua Shen