Huawei Technologies Co., Limited

Boe Technology Group Co., Ltd.

Apple Inc.

Beijing Boe Display Technology Co., Ltd.

Intel Corporation

Beijing Xiaomi Mobile Software Co., Ltd.

Tsinghua University

Ntt Docomo, Inc.

Globalfoundries U.S. Inc.

Ordos Yuansheng Optoelectronics Co., Ltd.

Samsung Electronics Co., Ltd.

Microsoft Technology Licensing, LLC

Freescale Semiconductor,inc.

Merck Sharp + Dohme Corp.

Beijing Bytedance Network Technology Co., Ltd.

Xu Zhang

Lixia Xue

Zheng Chen

Jianguo Wang

Yan Cheng

Zhihua Sun

Feng Yang

Alexander Sasha Sirotkin

Yongxing Zhou

Min Huang

Bingyu Qu

Jianqin Liu

Jaemin Han

Di Zhang

Feng Wang

Guangjie Li

Shulin Yao

Jun Luo

Yongzhao Cao

Fei Gao

Hao Sun

Yi Qin

Seungmin Lee

Ning Zhang

Yifan Yu

Satoshi Nagata

Kazuki Takeda

Wei Zhang

Kunpeng Liu

Liu Liu

Qin Mu

Zukang Shen

Jing Li

Tao Li

Jing Liu

Wenting Chang

Hua Li

Junchao Li

Dan Liu

Qi Chen

Yang Zhao

Lei Song

Jian Hui Huang

Youn Hyoung Heo

Yuan Zhu

Hui Li

Yujian Zhang

Bin Wang

Markus Dominik Mueck

Bharat Shrestha

Yu Yang

Jing Zhu

Puneet K Jain

Zhenfei Tang

Jeongho Jeon

Yi Bin Wang

Sudeep K Palat

Huiling Jiang

Hui Zhang

Hao Tang

Dongmei Zhang

Seau Sian Lim

Marta Martinez Tarradell

Jing Cheng

Ulun Karacaoglu

Fang Yuan

Honglei Miao

Yu Liu

Chuanfeng He

Anthony Lee

Yuan Wang

Xiang Gao

Xingwei Zhang

Stewart S Taylor

Leiming Zhang

Jerome Parron

Li Liu

Alexander Pasternak

Kristoffer Fleming

Meghashree Dattatri Kedalagudde

Frank W Bennett

Song Liu

Jack D Scott

Honggang Li

Yongfeng Xia

Jingyi Xu

Yingmeng Miao

Jinlong Jiang

Yezhou Fang

Yong Chen

Chun Yen Liu

Michael A Stockinger

Pengfei Zhang

Zhangwei Xu

Xin Wu

Jie Gao

Xianda Liu

Yi Ding

Yinlong Zhang

Yujie Gao

This application relates to a communication method, a communication apparatus, and a device. The method includes: determining first signaling, where the first signaling is used to indicate at least one periodicity, and one of the at least one periodicity is a periodicity to be used by a terminal device to detect a downlink signal; and sending the first signaling. In embodiments of this application, a network device may indicate the at least one periodicity to the terminal device, so that the terminal device can detect the downlink signal based on the at least one periodicity. For example, the at least one periodicity matches a state of the network device. This is equivalent to describing that the terminal device can detect the downlink signal based on the state of the network device, to reduce power consumption of the terminal device as much as possible.

Communication method, communication apparatus, and device including periodicity

An uplink transmission method and a communication apparatus. A terminal device receives first indication information indicating at least two uplink carriers to effectively reduce control signaling overheads. The terminal device sends uplink transmission on the at least two uplink carriers based on the first indication information. The uplink transmission is sent on the at least two uplink carriers in response to control signaling overheads being reduced. The use of the at least two uplink carriers increases an uplink capacity.

Uplink transmission method and communication apparatus

A communication method includes receiving first signaling. The first signaling indicates a first reference signal resource. The first reference signal resource corresponds to P antenna ports. The method also includes receiving first indication information. The method further includes determining, by a processor, based on the first indication information, Q antenna ports that are in the P antenna ports and that are used to determine channel state information (CSI). Both P and Q are positive integers and P>Q.

Communication method and communication apparatus

A method includes: a network device sends a first synchronization signal/physical broadcast channel block on a first resource in resources corresponding to at least two candidate synchronization signal/physical broadcast channel blocks (SSBs), where the at least two candidate SSBs are respectively located at least two frequencies in a single serving cell or a single bandwidth part in a frequency division multiplexing manner; and the network device sends resource information of the first SSB.

Communications method and apparatus

A blocking artifact detection method is provided. The method, which is applied to a video encoder, includes: detecting, based on a sum of pixel differences between each coding unit in a current coding tree unit and its adjacent coding unit, whether the coding unit and the adjacent coding unit meet an edge detection condition; in response to determining that a coding unit and its adjacent coding unit meet the edge detection condition, determining, based on information about the coding unit, image regions of an original image corresponding to the coding unit and the adjacent coding unit; detecting whether the image regions meet the edge detection condition; and determining, in response to determining that the image regions do not meet the edge detection condition, that there is a blocking artifact between the coding unit and the adjacent coding unit. This implementation improves the accuracy of blocking artifact detection.

Blocking artifact detection

This application provides a control channel detection method, apparatus, and device. The method includes: A terminal device determines that resources of at least two candidate control channels overlap, where any two of the at least two candidate control channels are located in different search spaces; and the terminal device detects only at least one first candidate control channel in the at least two candidate control channels. This improves control channel detection reliability.

Control channel detection method, apparatus, and device to improve reliability

A network device sends at least one piece of DCI on a PDCCH monitoring occasion of a first PO, where all or a part of the at least one piece of DCI includes first indication information, each piece of first indication information indicates that at least one CSI-RS is available, the CSI-RS corresponds to an SSB, and the SSB corresponds to a PDCCH monitoring occasion for sending the DCI including the first indication information. The network device sends the CSI-RS indicated by the first indication information as available.

Communication method and apparatus

The present disclosure relates to communication methods and communication apparatus. One example method includes determining a quantity and a position of control channel element (CCE) used by a control channel of user equipment, where each of the CCE corresponds to a plurality of resource element groups (REGs), the plurality of REGs form at least one REG bundle, and any REG bundle in the at least one REG bundle includes a plurality of resource blocks (RBs) that are consecutive or adjacent in at least one of time domain or frequency domain, and receiving, from a network device, the control channel by using the CCE.

A common CORESET determining method, an apparatus and a non-transitory computer-readable storage medium are provided. The method includes: receiving configuration information, wherein the configuration information indicates where a physical resource block occupied by a first common control resource set is located in a first downlink bandwidth part; determining a frequency domain resource of the first common control resource set based on a frequency domain resource of the first downlink bandwidth part and the physical resource block occupied by the first common control resource set within the first downlink bandwidth part; and monitoring a physical downlink control channel in the first common control resource set before the first downlink bandwidth part configured by a SIB1 takes effect to obtain scheduling control information. According to this application, complexity of determining a frequency domain location of the first control resource set can be reduced.

Method for determining frequency domain location of control resource set and related device

This application provides methods and apparatuses for determining a resource indication value. One method includes: a terminal device receives downlink control information, which includes a resource indication value (RIV) determined based on a first bandwidth part and indicates a data channel occupying contiguous virtual resource blocks in a second bandwidth part. The terminal device then determines, based on the RIV, the contiguous virtual resource blocks in the second bandwidth part, and sends or receives the data channel in the contiguous virtual resource blocks.

Method and apparatus for obtaining resource indication value

A control information sending/receiving method and device are provided, to implement indicating a time-frequency location of a control channel to a terminal device in a 5G NR system or a future evolved LTE system. The method includes: receiving, by a terminal device, broadcast information; determining, from at least two predefined time-domain locations, a time-domain location of a broadcast channel carrying the broadcast information; determining a time-domain location of a control channel based on the time-domain location of the broadcast channel; and performing control channel detection in the determined time-domain location of the control channel.

Control information sending/receiving method and device

A network device and a terminal device both determine, based on an identifier of the terminal device, that the terminal device belongs to a first terminal device group on a first PO, where the first terminal device group is one of X terminal device groups on the first PO. The network device sends paging DCI on the first PO, where the paging DCI includes first indication information, and the first indication information is used to indicate a terminal device in the first terminal device group to receive a paging physical downlink shared channel PDSCH. The network device sends the paging PDSCH to the terminal device.

Communication method, communication apparatus, and computer-readable storage medium

Provided are a video frame processing method, a model training method, a device and a storage medium, relates to a field of artificial intelligence, and in particular, to cloud computing, video processing, and medium cloud technology, and may be applied in an intelligent cloud scenario. The video frame processing method includes: acquiring a target characteristic corresponding to a current video frame in a video frame sequence to be encoded, in the case of the video frame sequence to be encoded satisfies a preset condition; inputting the target characteristic corresponding to the current video frame to a first target model, to obtain a first output result corresponding to the current video frame; and determining a first target group of pictures (GOP) length corresponding to the current video frame, based on the first output result corresponding to the current video frame.

Method for processing video frame, method for training model, electronic device, and storage medium

Provided are a method for tracking carbon flow of a power system, a device and a medium. The method includes: acquiring related data of carbon flow tracking, where the related data include an injected active power sum column matrix of generator sets of all substations to be tracked, an injected carbon flow rate sum column matrix of generator sets of all substations to be tracked, an output power distribution matrix of a branch formed between substations to be tracked, and a power flow proportion distribution matrix of the branch formed between substations to be tracked; acquiring a carbon potential matrix Eof each substation to be tracked; and acquiring a carbon flow rate of each substation to be tracked, a carbon flow rate of the branch, and a carbon flow rate of an output load on the basis of the carbon potential matrix of each substation to be tracked.

Method for tracking carbon flow of power system, device and medium

Embodiments described herein are generally directed to an end-to-end trainable degradation restoration network (DRN) that enhances the ability of a super-resolution (SR) subnetwork to deal with noisy low-resolution images. An embodiment of a method includes estimating, by a noise estimator (NE) subnetwork of the DRN, an estimated noise map for a noisy input image; and predicting, by the SR subnetwork of the DRN, a clean upscaled image based on the input image and the noise map by, for each of multiple conditional residual dense blocks (CRDBs) stacked within one or more cascade blocks representing the SR subnetwork, adjusting, by a noise control layer of the CRDB that follows a stacked set of a multiple residual dense blocks of the CRDB, feature values of an intermediate feature map associated with the input image by applying (i) a scaling factor and (ii) an offset factor derived from the noise map.

Adaptive deep learning model for noisy image super-resolution

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Beijing, China

Xu Zhang