International Business Machines Corporation

Uisee Technologies (beijing) Ltd

Tsinghua University

Lenovo (beijing) Limited

Peking University

Nuctech Company Limited

Chinese Academy of Medical Sciences

Intel Corporation

Honeywell International Inc.

Jinan University

Shijiazhuang Yiling Pharmaceutical Co., Ltd.

Sony Corporation

Huawei Technologies Co., Limited

Beijing Founder Electronics Co., Ltd.

Uisee (shanghai) Automotive Technologies Ltd.

Dan Zhang

Hong Bing Zhang

Fang Lu

Xue Ping Liu

Xin Zhou

Yan Jiang

Xiaocheng Zhou

Chao Xin

Fan Li

Sai Luo

Jinzhan Peng

Xiuqi Bao

Yaohong Liu

Li Ping Wang

Huaping Tang

Yuan Yuan Ding

Shi Kun Li

Wei Jia

Jinsheng Liu

Zhuo Jp Cai

Xi Zhang

Wei Yin

Xiao Feng Ji

Jianjun Gao

Jin Yan Chen

Chong Gu

Xu Min

Qinghui Zhang

Jun Zhou

Feng Gao

Yan Liu

Yang Yu

Richard D Lawrence

Yang Lv

Jing Wu

Xinshui Yan

Vijil Enara Chenthamarakshan

Yun Jing Zhao

Ka Lin

Ping Xie

Xinsheng Yao

Song Ye

Xiaotian Liang

De Wei

Yuanjing Li

Xin Zhang

Yu Meng Li

Wei Feng

Jinhui Chen

Jun Wei Zhang

Jing Yang

Feng Zhou

Wei Lin

Lin Li

Chuanxiang Tang

Zhong Fang Yuan

Tong Liu

Hui Calvin Yang

Gansha Wu

Xiaoxin Song

Song Wang

Peng Guo

Jianjun Zhang

Shoumeng Yan

Yi Chen Zhong

Guoqiang Hu

Peter C Hsi

Yongping Fan

Sheng Nan Zhu

Wangjun Wu

Dongsheng Zhang

Ye Xu

Xinyu Qi

Xingguo Wu

Nanxi Li

Hailong Yu

Jianwu Yang

Xin Fang Hao

Guang Qing Zhong

Yu Li

Yumei Chen

Zaixue Wei

Xinli Wu

Mei Gao

Shaofeng Wang

Tian Tian Chai

Zhen Xu

Jiangong Shi

Kui Lu

Hao Gao

Zhi Peng

Changfu Li

Yanfeng Cao

Weixiang Fu

Jianru Xiao

Ke Huan Yin

Xiaodong Shang

Lujun Zhang

Caixía Zang

This application provides a control method, a first electronic device, and a storage medium. The control method is applied to the first electronic device and includes determining whether a first prerequisite condition is satisfied and controlling a vibration component of a first electronic device to vibrate in a first vibration mode; and determining whether a second prerequisite condition is satisfied and controlling the vibration component to vibrate in a second vibration mode, wherein the first vibration mode and the second vibration mode are different, the first vibration mode is based on predefined parameters, and the second vibration mode is at least based on contact parameters between the first electronic device and a second electronic device.

Processing method and display device

A method of generating a prototype of a graphical user interface (GUI). The method includes acquiring a draft wireframe representing a GUI design, the draft wireframe including one or more wireframe components, and decomposing the draft wireframe into one or more component slices, each component slice including a respective wireframe component of the one or more wireframe components. The method also includes generating a component slice sequence including the one or more component slices and at least one additional component slice selected based on the draft wireframe, constructing a wireframe based on the component slice sequence, and generating a prototype of the GUI design based on the constructed wireframe.

Generation of graphical user interface prototypes

According to one embodiment, a method, computer system, and computer program product for adjusting an audible area of an avatar's voice is provided. The present invention may include receiving, at a microphone, a source audio; creating a received audio; calculating, by a generative model, a voice propagation distance of a user based on the source audio, the received audio, and a templated text sentence describing a category of a mixed reality environment experienced by the user; drawing a virtual circle within the mixed reality environment centered on a user avatar representing the user and with a radius equal to the voice propagation distance; and transmitting the source audio to one or more participants within the mixed-reality environment represented by one or more participant avatars located within the virtual circle.

Adjusting audible area of avatar's voice

Table lamp

A backlight module includes a first substrate, a control circuit, a plurality of light source points, a filling layer, and a reflection structure. The control circuit is arranged on a first side of the first substrate. The plurality of light source points are arranged on a side of the control circuit away from the first substrate, include at least one type of LED, and are controlled by the control circuit to emit light to a side of the LED away from the first substrate. The filling layer covers the plurality of light source points and a gap between neighboring light source points. The reflection structure is arranged on a side of the filling layer away from the plurality of light source points and configured to reflect the light emitted by the plurality of light source points.

Backlight module and manufacturing method thereof and electronic device

Embodiments of the invention are directed to automatically capturing user interface screenshots for use in documentation of a software product. Aspects include identifying a user interface window of the software product and creating a degree-of-completion graph for the user interface window. Aspects also include capturing a plurality of screenshots of the user interface window during use of the software product and calculating a degree-of-completion percentage for each of the plurality of screenshots. Aspects further include identifying a subset of the plurality of screenshots to be included in the software product documentation based on the degree-of-completion percentage.

Automatic capture of user interface screenshots for software product documentation

In an aspect for generating a 2-dimensional (2D) building mapping, a computer-implemented method may include one or more processors configured for receiving scanning data in a first file format corresponding to 3-dimensional (3D) aerial Light Detection and Ranging (LiDaR) images. Further, the method may include transforming the first file format to a second file format and transmitting the scanning data to a building semantic segmentation component. Further, the computer-implemented method may include generating semantic segmentation data corresponding to building structures defined by point clusters; generating instance segmentation data corresponding to top surfaces of the building structures; generating building boundary data for each one of the point clusters based on one or more of the semantic segmentation data and the instance segmentation data; and processing the building boundary data to generate a 2D building mapping comprising refined boundary lines for each of the point clusters.

Generating 2D mapping using 3D data

Analysis of edge closures of metal surface particles based on a graph structure.

Analyzing edge closures of metal surface particles based on graph structures

Technology for inspection for detecting a defect of a printed matter using machine logic informed by machine learning. Some embodiments of the present invention may include one, or more, of the following features: (i) generates defect datasets; (ii) generates defect libraries; (iii) uses the generated defect libraries for deep learning training; and (iv) uses machine learning to detect defects using computer code (for example, a *.jpg format file) corresponding to an image of a piece of printed matter instead of using a visual image (that is, an image of the type that is created when a person takes a picture using a traditional film camera).

Automatically generating defect data of printed matter for flaw detection

An approach is provided in which the approach receives an image that includes multiple image points and constructs a plane in the image based on a first subset of the plurality of image points. The approach identifies a second subset of the image points that belong to the plane and are not part of the first subset of image points, and removes the first subset of image points and the second subset of image points form the image points. The approach annotates the remaining subset of image points in the image.

Three-dimensional segmentation annotation

An information processing method includes, in a situation that a connection between a first electronic device and a second electronic device is established for first time, obtaining identity information of the second electronic device; obtaining a communication protocol corresponding to the identity information; and based on a data path formed after the first electronic device is connected to the second electronic device, sending the communication protocol to the second electronic device, to enable the second electronic device to communicate with the first electronic device based on the communication protocol.

Information processing method based on electronic device interaction, and electronic device for establishing communication by sending communication protocol

A method for detecting and labeling a target object in a 2D image includes receiving a plurality of 2D images from a visual sensor, manually marking points of the target object on each of the 2D images, generating from the 2D images a 3D world coordinate system of the environment surrounding the target object, mapping each of the marked points on the 2D images to the 3D world coordinate system using a simultaneous localization and mapping (SLAM) engine, automatically generating a 3D bounding box covering all the marked points mapped to the 3D world coordinate system, mapping the 3D bounding box to each of the 2D images, generating a label for the target object on each of the 2D images using a machine learning object detection model, and training the machine learning object detection model based on the generated label for the target object.

AR-based labeling tool for 3D object detection model training

A speed planning method and apparatus and a calculating apparatus for automatic driving of a vehicle. The method comprises: using a training sample set to perform machine learning to obtain a machine learning model; partitioning an input space, and obtaining a decision result corresponding to a determined partition based on the obtained machine learning model to form a partition decision table of each partition corresponding to the corresponding decision result; and obtaining each dimensional feature vector of a vehicle while driving in real time as an input feature, determining an input partition to which the input feature belongs, and querying the partition decision table based on the determined partition to obtain the corresponding decision result.

Speed planning method and apparatus and calculating apparatus for automatic driving of vehicle

In an approach for detecting vehicle identity and analyzing damage status using a single video, a processor provides an instruction for taking a video of a vehicle for a damage evaluation. A processor receives the video of the vehicle for the damage evaluation. A processor verifies the vehicle in the video being the same vehicle for the damage evaluation. A processor evaluates a damage status of the vehicle. A processor outputs a damage report based on the damage status of the vehicle.

Detecting vehicle identity and damage status using single video analysis

Computer automated interactive activity recognition based on keypoint detection includes retrieving, by one or more processors, a temporal sequence of image frames from a video recording. The one or more processors identify first and second keypoints in each of the image frames in the temporal sequence using machine learning techniques. The first keypoints are associated with an object in the temporal sequence of image frames while the second keypoints are associated with an individual interacting with the object. The one or more processors combine the first keypoints with the second keypoints and extract spatial-temporal features from the combination that are used to train a classification model based on which interactive activities can be recognized.

Computer automated interactive activity recognition based on keypoint detection

Growing community of inventors

Beijing, China

Dan Zhang