Patents by Inventor Dehui KONG
Dehui KONG 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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Patent number: 11908107Abstract: Provided are a method and apparatus for presenting image for a VR device, a device and a non-transitory computer-readable storage medium. The method for presenting image for a VR device includes steps of: acquiring input image data; establishing a correspondence between the input image data and output image data in a polar coordinate system, the polar coordinate system having a pole which is an intersection of a center of a field of view of the VR device and a display plane; obtaining image data to be presented according to the output image data; and presenting the image data to be presented on the basis of a convex lens.Type: GrantFiled: November 13, 2019Date of Patent: February 20, 2024Assignee: SANECHIPS TECHNOLOGY CO., LTD.Inventors: Dehui Kong, Ke Xu, Wei Yang, Jing You, Xin Liu, Jisong Ai
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Publication number: 20230415430Abstract: A thermoplastic composite material has an inner layer material and at least one layer of outer layer material. The inner layer material is a core layer that contains fiber bundles, a first thermoplastic resin and a first auxiliary agent; and the at least one layer of outer layer material wraps the core layer and is a resin layer comprising a second thermoplastic resin and an optional second auxiliary agent. The fiber bundles extend continuously from one end of the core layer to the opposite end thereof. The inner layer-outer layer composite structure, can effectively improves the processing performance of the thermoplastic composite material and the lubricity between fibers and resin matrixes during injection molding, and improves the fluidity of the fibers in a resin matrix melt.Type: ApplicationFiled: October 30, 2021Publication date: December 28, 2023Inventors: Dali GAO, Changjin LI, Shijun ZHANG, Kai XU, Peng KANG, Qi ZHANG, Hua YIN, Mingfu LV, Dehui KONG, Qi XIN, Tao CAI, Mu DONG, Jingbo SHAO, Hongwei SHI, Changhui SUN, Yiqing BAI, Yigang TAN, Guang LI, Xiaoyong GAO, Jinqi HE, Meijie LI, Meng XU, Baige CHOU, Yun LV, Yueming REN
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Patent number: 11810265Abstract: An image reconstruction method, device and apparatus and non-transitory computer-readable storage medium are disclosed. The method may include: determining norms of convolution kernels of each convolutional layer of a deep neural network model; determining the convolution kernels with norms greater than or equal to a preset threshold in each convolutional layer to obtain a target convolution kernel set of each convolutional layer; processing an input image of each convolutional layer by using the convolution kernels in the target convolution kernel set of each convolutional layer respectively, to obtain a first image processing result; obtaining a second image processing result by performing interpolation on an initial image; and determining a fusion result according to the first image processing result and the second image processing result and reconstructing the initial image according to the fusion result.Type: GrantFiled: December 20, 2019Date of Patent: November 7, 2023Assignee: SANECHIPS TECHNOLOGY CO., LTD.Inventors: Dehui Kong, Ke Xu, Xiao Zhang, Bin Han, Zhou Han, Hong Wang, Guoning Lu, Long Huang, Sheng Luo
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Patent number: 11798264Abstract: Dictionary learning method and means for zero-shot recognition can establish the alignment between visual space and semantic space at category layer and image level, so as to realize high-precision zero-shot image recognition. The dictionary learning method includes the following steps: (1) training a cross domain dictionary of a category layer based on a cross domain dictionary learning method; (2) generating semantic attributes of an image based on the cross domain dictionary of the category layer learned in step (1); (3) training a cross domain dictionary of the image layer based on the image semantic attributes generated in step (2); (4) completing a recognition task of invisible category images based on the cross domain dictionary of the image layer learned in step (3).Type: GrantFiled: January 29, 2022Date of Patent: October 24, 2023Assignee: Beijing University of TechnologyInventors: Lichun Wang, Shuang Li, Shaofan Wang, Dehui Kong, Baocai Yin
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Publication number: 20230269395Abstract: The present application provides a video processing method, a device, and a storage medium. The method includes: coding and decoding an original video to obtain a mixed resolution video, where the mixed resolution video includes a first resolution frame and a second resolution frame each corresponding to a key frame, and a third resolution frame corresponding to a non-key frame, where the first resolution frame has a resolution higher than a resolution of the second resolution frame or a resolution of the third resolution frame; and amplifying, according to the first resolution frame and the second resolution frame, the third resolution frame corresponding to the non-key frame to output an amplified video, where the amplified video includes the first resolution frame corresponding to the key frame, and an amplified target frame corresponding to the non-key frame.Type: ApplicationFiled: June 1, 2021Publication date: August 24, 2023Inventors: Wei YANG, Ke XU, Dehui KONG, Jianjun SONG, Fang ZHU
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Publication number: 20230230206Abstract: The present application relates to the field of image processing, and provides an image denoising method and apparatus, an electronic device and a storage medium. The image denoising method includes: acquiring an image to be processed, and inputting the image to be processed into an image denoising model to acquire a denoised image, wherein the image denoising model is a model formed by combining a U-shaped network, a residual network and a dense network.Type: ApplicationFiled: April 22, 2021Publication date: July 20, 2023Inventors: Jisong AI, Ke XU, Dehui KONG, Ning WANG, Xin LIU, Jing YOU, Fang ZHU
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Publication number: 20230196721Abstract: A low-illuminance video processing method, a low-illuminance video processing device and a storage medium are disclosed. The method includes: acquiring a same number of preceding frame images and subsequent frame images corresponding to a current video frame of a low-illuminance video to obtain a frame image set corresponding to the current video frame, and performing traversal on the low-illuminance video to obtain frame image sets corresponding to all video frames; after performing image alignment on all frame images in the frame image sets corresponding to all video frames, inputting the frame image sets into a pre-trained low-illuminance image enhancement model to obtain enhanced frame images; and generating an enhanced video based on the enhanced frame images.Type: ApplicationFiled: June 9, 2021Publication date: June 22, 2023Inventors: Cong REN, Ke XU, Dehui KONG, Jing YOU, Xin LIU, Fang ZHU
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Publication number: 20230177650Abstract: Disclosed are a method and apparatus for training an image restoration model, an electronic device, and a computer-readable storage medium. The method for training an image restoration model includes: pre-processing training images to obtain a low-illumination image sample set (110); determining, based on low-illumination image samples in the low-illumination image sample set and the image restoration model, a weight coefficient of the image restoration model (120), wherein the image restoration model is a neural network model determined on a U-Net network and a deep residual network; and adjusting the image restoration model according to the weight coefficient, and further training the adjusted image restoration model using the low-illumination image samples until the image restoration model restores parameters of all the low-illumination image samples in the low-illumination image sample set into a preset range (130).Type: ApplicationFiled: May 6, 2021Publication date: June 8, 2023Inventors: Jing YOU, Hengqi LIU, Ke XU, Dehui KONG, Jisong AI, Xin LIU, Cong REN
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Publication number: 20230131545Abstract: Dictionary learning method and means for zero-shot recognition can establish the alignment between visual space and semantic space at category layer and image level, so as to realize high-precision zero-shot image recognition. The dictionary learning method includes the following steps: (1) training a cross domain dictionary of a category layer based on a cross domain dictionary learning method; (2) generating semantic attributes of an image based on the cross domain dictionary of the category layer learned in step (1); (3) training a cross domain dictionary of the image layer based on the image semantic attributes generated in step (2); (4) completing a recognition task of invisible category images based on the cross domain dictionary of the image layer learned in step (3).Type: ApplicationFiled: January 29, 2022Publication date: April 27, 2023Applicant: Beijing University of TechnologyInventors: Lichun WANG, Shuang LI, Shaofan WANG, Dehui KONG, Baocai YIN
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Patent number: 11595613Abstract: A de-interlacing processing method, a de-interlacing processing device and a computer-readable storage medium are provided. The method includes acquiring image content characteristic information of a pixel point to be interpolated; and determining according to the image content characteristic information whether a de-interlacing algorithm based on motion adaptive or a de-interlacing algorithm based on motion compensation is adopted to perform de-interlacing processing.Type: GrantFiled: December 10, 2019Date of Patent: February 28, 2023Assignee: ZTE CORPORATIONInventors: Chengqiang Liu, Ke Xu, Dehui Kong, Limin He, Wei Yang
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Publication number: 20220351335Abstract: The present disclosure discloses a video denoising method and device, and a computer-readable storage medium. The video denoising method includes: dividing each video frame in an input video frame sequence into sub-image blocks, and calculating a block variance of each of the sub-image blocks; calculating an average variance of the sub-image blocks in a current video frame according to the calculated block variances, determining a noise level of the current video frame according to the average variance, selecting a denoise strength and a noise characteristic curve that match the noise level; and denoising the current video frame according to the denoise strength and the noise characteristic curve.Type: ApplicationFiled: July 14, 2020Publication date: November 3, 2022Inventors: Jisong AI, Ke XU, Dehui KONG, Ning WANG, Xin LIU, Jing YOU, Fang ZHU
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Patent number: 11474594Abstract: A virtual reality display method, device, apparatus and storage medium are provided. The method includes: acquiring multimedia data to be displayed and a visible region of a viewer on a curved display surface, wherein the visible region is obtained by projecting a visible range of the viewer to the curved display surface, and is not larger than a display area of the curved display surface; determining target curvatures of at least two positions in the visible region of the viewer, wherein in the target curvatures, target curvatures of different positions are related to a distance to a center of the visible region of the viewer; adjusting, based on the target curvatures of the at least two positions in the visible region, a curvature of a corresponding position on the curved display surface; and mapping the multimedia data to be displayed to the curved display surface having the adjusted curvature.Type: GrantFiled: December 16, 2019Date of Patent: October 18, 2022Assignee: ZTE CORPORATIONInventors: Dehui Kong, Ke Xu, Xiao Zhang, Bin Han, Chong Xiang, Shuai Jiao, Hong Wang, Guoning Lu, Degen Zhen
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Patent number: 11450066Abstract: 3D reconstruction method based on deep learning includes the following steps: (1) The potential vector constrained in the input image is used to reconstruct the complete 3D shape of the target, and the mapping between the part and the complete 3D shape is learned, then the 3D reconstruction of a single depth image is realized. (2) Learn the intermediate feature representation between the 3D real object and the reconstructed object to obtain the target potential variables in step (1). (3) The voxel floating value predicted in step (1) is transformed into binary value by using the limit learning machine to complete high-precision reconstruction.Type: GrantFiled: March 4, 2020Date of Patent: September 20, 2022Assignee: BEIJING UNIVERSITY OF TECHNOLOGYInventors: Dehui Kong, Caixia Liu, Shaofan Wang, Jinghua Li, Lichun Wang
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Publication number: 20220253668Abstract: A data processing method and device, a storage medium and an electronic device are disclosed. The method includes: reading M*N feature map data of all input channels and weights of a preset number of output channels, here a value of M*N and a value of the preset number are respectively determined by preset Y*Y weights; inputting the read feature map data and the weights of the preset number of output channels into a multiply-add array of the preset number of output channels for a convolution calculation; here a mode of the convolution calculation includes: not performing the convolution calculation in a case that the feature map data or the weights of the output channels are zero, and selecting one from same values for the convolution calculation in a case that there are a plurality of feature map data with the same values; and outputting a result of the convolution calculation.Type: ApplicationFiled: April 20, 2020Publication date: August 11, 2022Applicant: ZTE CORPORATIONInventors: Hong WANG, Ke XU, Guoning LU, Degen ZHEN, Dehui KONG, Xiao ZHANG
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Publication number: 20220245761Abstract: The present application provides an image processing method, an image processing device, a computer storage medium and a terminal, the image processing method includes: determining convolution kernels of at least two sizes for feature extraction; performing sparsity constraint for the determined convolution kernels of at least two sizes for feature extraction through a preset objective function; and performing feature extraction on an image based on the convolution kernels subjected to the sparsity constraint.Type: ApplicationFiled: April 16, 2020Publication date: August 4, 2022Inventors: Dehui KONG, Ke XU, Xiao ZHANG, Hong WANG, Bin HAN, Ning WANG, Xin LIU, Guoning LU, Fang ZHU
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Publication number: 20220122233Abstract: Provided are a method and apparatus for presenting image for a VR device, a device and a non-transitory computer-readable storage medium. The method for presenting image for a VR device includes steps of: acquiring input image data; establishing a correspondence between the input image data and output image data in a polar coordinate system, the polar coordinate system having a pole which is an intersection of a center of a field of view of the VR device and a display plane; obtaining image data to be presented according to the output image data; and presenting the image data to be presented on the basis of a convex lens.Type: ApplicationFiled: November 13, 2019Publication date: April 21, 2022Inventors: Dehui KONG, Ke Xu, Wei Yang, Jing YOU, Xin Liu, Jisong Al
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Patent number: 11292038Abstract: A combined remediation method of petroleum-contaminated soil includes: impurity removal pretreatment, photocatalytic pre-oxidation, stepwise thermal desorption of petroleum from soil, and high-temperature oxidation; with iron-titanium composite metal oxide (ITCMO) as a catalyst, conducting oxidation pretreatment under light conditions so that some cross-linked structures in macromolecular petroleum contaminants are broken and degraded; and conducting stepwise pyrolysis to achieve a removal rate of more than 98.00%. The new method adopts a combined remediation technology of photocatalytic pre-oxidation-stepwise pyrolysis, which realizes a relatively-high removal rate of petroleum hydrocarbons and the efficient and harmless remediation of high-concentration petroleum-contaminated soil, and remedied soil can be reused.Type: GrantFiled: October 19, 2020Date of Patent: April 5, 2022Assignee: CHINA UNIVERSITY OF PETROLEUMInventors: Dong Liu, Shuhai Guo, Wei Zhu, Fushan Wen, Nan Shi, Yu Qiu, Xiaoning Feng, Bo Wu, Gang Li, Changlong Yin, Xiujie Yang, Dehui Kong, Hongbo Dai, Mengfei Li, Sa Wang
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Publication number: 20220036506Abstract: An image reconstruction method, device and apparatus and non-transitory computer-readable storage medium are disclosed. The method may include: determining norms of convolution kernels of each convolutional layer of a deep neural network model; determining the convolution kernels with norms greater than or equal to a preset threshold in each convolutional layer to obtain a target convolution kernel set of each convolutional layer; processing an input image of each convolutional layer by using the convolution kernels in the target convolution kernel set of each convolutional layer respectively, to obtain a first image processing result; obtaining a second image processing result by performing interpolation on an initial image; and determining a fusion result according to the first image processing result and the second image processing result and reconstructing the initial image according to the fusion result.Type: ApplicationFiled: December 20, 2019Publication date: February 3, 2022Inventors: Dehui KONG, Ke XU, Xiao ZHANG, Bin HAN, Zhou HAN, Hong WANG, Guoning LU, Long HUANG, Sheng LUO
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Publication number: 20220026982Abstract: A virtual reality display method, device, apparatus and storage medium are provided. The method includes: acquiring multimedia data to be displayed and a visible region of a viewer on a curved display surface, wherein the visible region is obtained by projecting a visible range of the viewer to the curved display surface, and is not larger than a display area of the curved display surface; determining target curvatures of at least two positions in the visible region of the viewer, wherein in the target curvatures, target curvatures of different positions are related to a distance to a center of the visible region of the viewer; adjusting, based on the target curvatures of the at least two positions in the visible region, a curvature of a corresponding position on the curved display surface; and mapping the multimedia data to be displayed to the curved display surface having the adjusted curvature.Type: ApplicationFiled: December 16, 2019Publication date: January 27, 2022Inventors: Dehui KONG, Ke XU, Xiao ZHANG, Bin HAN, Chong XIANG, Shuai JIAO, Hong WANG, Guoning LU, Degen ZHEN
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Publication number: 20220030192Abstract: A de-interlacing processing method, a de-interlacing processing device and a computer-readable storage medium are provided. The method includes acquiring image content characteristic information of a pixel point to be interpolated; and determining according to the image content characteristic information whether a de-interlacing algorithm based on motion adaptive or a de-interlacing algorithm based on motion compensation is adopted to perform de-interlacing processing.Type: ApplicationFiled: December 10, 2019Publication date: January 27, 2022Inventors: Chengqiang LIU, Ke XU, Dehui KONG, Limin HE, Wei YANG