Huawei Technologies Co., Limited

Tencent Technology (shenzhen) Company Limited

Boe Technology Group Co., Ltd.

Beijing Bytedance Network Technology Co., Ltd.

Hefei Xinsheng Optoelectronics Technology Co., Ltd.

Beijing Boe Display Technology Co., Ltd.

Honor Device Co., Ltd.

Alibaba Group Holding Limited

Beijing Zitiao Network Technology Co., Ltd.

Aero Engine Academy of China

Shenzhen Mindray Bio-medical Electronics Co., Ltd.

Beijing University of Technology

Shenzhen Mindray Scientific Co., Ltd.

Nsfocus Information Technology Co., Ltd.

Tencent Technology Company Limited

Xiao Han

Jian Yu

Chenchen Liu

Yunbo Li

Yuchen Guo

Li Li Zhao

Ming Gan

Xun Yang

Yan Xin

Tao Li

Meilu Lin

Yingpei Lin

Jing Wang

Wei Zhang

Dong Li

Min He

Xiaodong Xie

Xiao Wang

Taofeng Xie

Yanchun Li

Jie Yi

Xiangqian Ding

Wen Tong

Lei Zhang

Yan Zhang

Jie Zhang

Zhi Zhang

Lin Yang

Tao N Zhang

Yongzhi Song

Huibin Guo

Long Wang

Xiaolong Li

Lin Y Yang

Bo Li

Jian Tian

Dandan Liang

Rui Du

Yan Long

Mengyao Ma

Meihong Zhang

Kojung Chen

Jianhua Yao

Jingsheng Yang

Chenlong Jia

Pei Zhou

Xuming Fang

Xun Zhou

Changfeng Ding

Qin Zeng

Jinchao Bai

Qitao Zheng

Zhiqiang Zhao

Lingyan Wu

Juan Li

Cheng Qian

Kuan Tian

Qidi Wu

Yin Shi

Yanhui Zhao

Kezhou Yan

Mengyuan Xiong

Kai Qian

Qian Zhang

Peng Han

Mingjie Dong

Wei Lin

Xiaoxiang Zhang

Mao Yang

Mingxuan Liu

Yun Zhang

Tsung Chieh Kuo

Jiawei Xu

Qian Yang

Yaoxian Zou

Muqing Lin

Jia He

Yong Jun Chen

Peng Yang

Xin Zhang

Fuzhou Xiao

Yaying Li

Jianping Xu

Xiang Zheng

Quan Wen

Feng Ge

Junzhou Huang

Shuncheng Zhu

Taolin Zhang

Li Yan

Gang Yao

Ying Zhang

Jinshu Wang

Wenfang Wang

Sen Yang

An image processing method includes: acquiring a standard image matched with an image processing model; determining light field variation parameters of a use environment of the image processing model based on the standard image; determining an image training sample set based on the light field variation parameters, the image training sample set including images of different light field backgrounds; training a correction network of the image processing model through the image training sample set to obtain a model updating parameter adapted to the correction network, and generating a trained image processing model based on the model updating parameter; acquiring a single image in the use environment, and performing prediction processing on the single image through the trained image processing model to obtain light field information corresponding to the single image; and correcting a light field of the single image based on the light field information.

Image processing method and apparatus based on image processing model, electronic device, storage medium, and computer program product

An electronic device and an information display method. The electronic device includes a first screen and a second screen. The first screen is larger than the second screen. The first screen is a foldable screen. The method includes: detecting a first operation when a plurality of cards are displayed on the second screen in a stacked manner; and displaying, on the first screen in response to the first operation, the plurality of cards displayed on the second screen. A first part of cards and a second part of cards among the plurality of cards are displayed in different positions on the first screen.

Electronic device and information display method applicable to same, and medium

Provided is a method for searching for a whole slide image performed by a computer device, which relate to the field of artificial intelligence. The method includes: cropping a whole slide image into a plurality of tissue images; generating, through an image encoder, image feature vectors respectively corresponding to the plurality of tissue images; clustering the image feature vectors respectively corresponding to the plurality of tissue images, to determine at least one key image from the plurality of tissue images; querying, based on image feature vectors respectively corresponding to the at least one key image, a database to obtain at least one target image package corresponding to the at least one key image; and determining a whole slide image to which at least one candidate tissue image comprised in the at least one target image package respectively belongs as a final search result.

Image encoder training method and apparatus, device, and medium

Disclosed are an interactive information processing method, an electronic device and a storage medium. The method includes establishing a correspondence between a multimedia data stream and a display text generated based on the multimedia data stream; presenting the multimedia data stream and the display text based on the correspondence; and in response to detecting a triggering operation triggering a display content in the display text, adjusting, based on a timestamp corresponding to the display content and the correspondence, the multimedia data stream to navigate to a playback position corresponding to the display content; the display content comprises a text corresponding to speech in the multimedia data stream; and the display text and the multimedia data stream are displayed on different display areas of a page respectively, and a display area occupied by the display text is not superimposed on a display area occupied by the multimedia data stream.

Interactive information processing method, device and medium

A method for sensing sneezing based on a wireless signal includes obtaining a wireless signal, where the wireless signal propagates in space including a first object. Doppler estimation is performed on the wireless signal, to obtain Doppler information of the wireless signal. The Doppler information of the wireless signal may be used for indicating impact of the first object on a frequency of the wireless signal. Whether the first object is sneeze droplets is determined based on the Doppler information of the wireless signal.

Method for sensing sneezing based on wireless signal, and related apparatus

A wireless local area network sensing method. The method includes: in a process in which a second network device performs high frequency MIMO channel access, a first network device sends indication information to a plurality of second network devices, where the indication information indicates the plurality of second network devices to send uplink sensing signals; and the first network device receives the uplink sensing signals from the second network devices and performs uplink sensing based on the uplink sensing signals.

Wireless local area network sensing method, network device, and chip

A radar measurement method and an apparatus are disclosed, which relate to the field of communications technologies, and are used to support radar measurement in a wireless local area network (WLAN). The method includes: An access point (AP) generates a first frame, where the first frame includes radar measurement information. Then the AP sends the first frame to M stations (STAs), to configure the way the M STAs perform radar measurement. This application is applicable to a radar measurement procedure.

Radar measurement method and apparatus

Embodiments of this application relate to the communications field, and in particular, to an information indication method and apparatus in the communications field. The embodiments of this application include: generating a PPDU including radar indication information, where the radar indication information is used to indicate that the PPDU is a PPDU used for radar testing, and transmitting the PPDU. According to the method provided in the embodiments of this application, the transmit end explicitly indicates that the PPDU is a PPDU used for radar testing rather than a PPDU used for communication between communications devices. When a receive end receives the PPDU, the receive end no longer monitors a channel, thereby reducing power consumption of the receive end.

Information indication method and apparatus

Provided are a text processing method and apparatus, an electronic device, and a medium. The method includes the following: target text information generated based on audio information is acquired; a to-be-error-corrected word in the target text information and a target candidate replacement word corresponding to the to-be-error-corrected word are determined; and a target replacement word corresponding to the to-be-error-corrected word is determined according to the target candidate replacement word, and the target text information is updated based on the target replacement word.

Text processing method and apparatus, electronic device, and medium

Embodiments of this application provide a video processing method and an electronic device. The method includes: The electronic device displays a first interface. In response to a tap operation performed by a user on a first option on the first interface, the electronic device displays a second interface. In response to a first operation performed by the user on a first control on the second interface, the electronic device generates a first finished video. The electronic device displays a third interface. In response to a tap operation performed by the user on the first option on the third interface, the electronic device displays a fourth interface. In response to the first operation performed by the user on the first control on the fourth interface, the electronic device generates a second finished video. The first finished video and the second finished video have different video effects.

Video processing method and electronic device

This application discloses a signal processing method and an apparatus. The method includes: A transmit device generates a PPDU, and sends the PPDU; and a receive device receives the PPDU, and processes M sequences carried in the PPDU. The PPDU shown in this application includes a first field, the first field is used for carrying M sequences, the M sequences correspond to M space-time streams, one sequence corresponds to one space-time stream, and M is a positive integer. According to the method provided in this application, sequence sending efficiency can be effectively improved.

Signal processing method and apparatus

The disclosure provides ranging methods and apparatuses. One example method includes that a first device sends a first signal on a first channel. The first device receives, on a second channel, a second signal from a second device, where the second signal is a signal obtained after frequency conversion is performed on the first signal. The first device calculates a distance between the first device and the second device based on a phase difference between carriers of the second signal.

Ranging method and apparatus

A spatial multiplexing method and apparatus are provided to introduce WLAN sensing into a conventional spatial multiplexing mechanism and improve communication efficiency. In the method an AP sends a first request message to a first station and a second station, to request to measure channel quality in one or more sensing beam directions in a first SP; the AP sends a second request message to a third station and a fourth station, to request to measure channel quality in a communications beam direction in a second SP; the first station, the second station, the third station, and the fourth station separately perform measurement and report respective first measurement results; and the AP receives the first measurement results of the stations, and determines, based on the first measurement results, whether to perform spatial multiplexing on the first SP and the second SP.

Spatial multiplexing method and apparatus, computer-readable storage medium, and chip

This application provides example object locating methods and apparatuses. One example method includes performing, by a first device, pulse measurement on a target object with assistance of a second device, where the pulse measurement is performed on the target object by using two types of pulse signals, and pulse repetition frequencies of the two types of pulse signals are different. The first device can then locate the target object based on a pulse measurement result of the pulse measurement.

Object locating method and apparatus

The technology of this application relates to a data transmission method and apparatus. The method includes sending, by a first device, first indication information in a first frequency band, and the first indication information is indicative of a resource in a second frequency band, used by the first device and the second device to perform data transmission, performing, by the first device, based on the scheduling information, data transmission with the second device, using the resource in the second frequency band. The data transmission method and apparatus in embodiments of this application can schedule a device based on a plurality of frequency bands to perform data transmission. In this way, a larger bandwidth is used, a throughput rate is increased, and system performance is improved.

Data transmission method and apparatus

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Beijing, China

Xiao Han