公开(公告)号：US20240420502A1

公开(公告)日：2024-12-19

申请号：US18799194

申请日：2024-08-09

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Cheng LI ,  Fenglong SONG ,  Ziluan LIU ,  Gang CHEN

IPC: G06V40/16 ,  G06V10/762 ,  G06V10/80 ,  G06V20/70

Abstract: Example facial image processing methods and apparatus are described. One example method includes obtaining a low-quality facial image and a first cluster label. A first target facial feature and a second target facial feature of the low-quality facial image are extracted. Each of P third target facial features is divided into R categories of first facial sub-features according to the first cluster label, where the P third target facial features are an output of a target convolutional neural network module of a face generator. An input that is of the target convolutional neural network module and that corresponds to the P third target facial features is obtained based on the first target facial feature. The first facial sub-features that are obtained through division are combined to obtain a first combined facial feature.

公开(公告)号：US20180121126A1

公开(公告)日：2018-05-03

申请号：US15827746

申请日：2017-11-30

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Fenglong SONG ,  Guangfei ZHANG ,  Tao WANG

IPC: G06F3/06 ,  G06F12/1045

CPC classification number: G06F3/0641 ,  G06F3/0608 ,  G06F3/0659 ,  G06F3/0673 ,  G06F12/08 ,  G06F12/084 ,  G06F12/0895 ,  G06F12/1045 ,  G06F2212/1044 ,  Y02D10/13

Abstract: A memory access system includes a memory, a controller, and a redundancy elimination unit. The memory is a multi-way set associative memory, and the redundancy elimination unit records M record items. Each record item is used to store a tag of a stored data block in one of storage sets. The controller determines a read data block and a target storage set of the read data block and sends a query message to the redundancy elimination unit. The query message carries a set identifier of the target storage set of the read data block and a tag of the read data block. The redundancy elimination unit determines a record item corresponding to the set identifier of the target storage set, matches the tag of the read data block with a tag of a stored data block in the record item corresponding to the target storage set of the read data block.

公开(公告)号：US20190318245A1

公开(公告)日：2019-10-17

申请号：US16452290

申请日：2019-06-25

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Fenglong SONG ,  Wulong LIU ,  Xijun XUE ,  Huimin ZHANG

IPC: G06N3/08 ,  G06N3/063 ,  G06F9/50

Abstract: This application provides a method, a terminal-side device, and a cloud-side device for data processing and a terminal-cloud collaboration system. The method includes: sending, by the terminal-side device, a request message to the cloud-side device; receiving, by the terminal-side device, a second neural network model that is obtained by compressing a first neural network model and that is sent by the cloud-side device, where the first neural network model is a neural network model on the cloud-side device that is used to process the cognitive computing task, and a hardware resource required when the second neural network model runs on the terminal-side device is within an available hardware resource capability range of the terminal-side device; and processing, by the terminal-side device, the cognitive computing task based on the second neural network model.

公开(公告)号：US20220188999A1

公开(公告)日：2022-06-16

申请号：US17687374

申请日：2022-03-04

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Tao WANG ,  Xian WANG ,  Fenglong SONG

IPC: G06T5/50 ,  G06V10/26 ,  G06T7/162 ,  G06V10/80 ,  G06V10/42 ,  G06V10/44 ,  G06T5/00

Abstract: This application relates to an image enhancement technology in the field of computer vision in the field of artificial intelligence, and provides an image enhancement method and apparatus. This application relates to the field of artificial intelligence, and specifically, to the field of computer vision. The method includes: adjusting a pixel value of a to-be-processed image, to obtain K images, where pixel values of the K images are different, and K is a positive integer greater than 1; extracting local features of the K images; extracting a global feature of the to-be-processed image; and performing image enhancement processing on the to-be-processed image based on the global feature and the local features, to obtain an image-enhanced output image. This method helps to improve the effect of image quality enhancement processing.

公开(公告)号：US20210073957A1

公开(公告)日：2021-03-11

申请号：US17030038

申请日：2020-09-23

Applicant: Huawei Technologies Co., Ltd.

Inventor： Gregory SLABAUGH ,  Youliang YAN ,  Fenglong SONG ,  Gang CHEN ,  Jiangwei LI ,  Tao WANG ,  Liu LIU ,  Ioannis ALEXIOU ,  Ioannis MARRAS ,  Sean MORAN ,  Steven George MCDONAGH ,  Jose Costa PEREIRA ,  Viktor Vladimirovich SMIRNOV

IPC: G06T5/00 ,  G06T3/40 ,  H04N9/73 ,  H04N9/64 ,  G06N3/08

Abstract: An image processing apparatus and a method are provided. The apparatus comprises a plurality of processing modules configured to operate in series to refine a raw image captured by a camera, the modules comprising a first module and a second module, each of which independently implements a respective trained artificial intelligence model, wherein: the first module implements an image transformation operation that performs an operation from the set comprising: (i) an essentially pixel-level operation that increases sharpness of an image input to the module, (ii) an essentially pixel-level operation that decreases sharpness of an image input to the module, (iii) an essentially pixel-block-level operation on an image input to the module; and the second module as a whole implements a different operation from the said set.