Beijing Kuangshi Technology Co., Ltd.

Pinhole (beijing) Technology Co., Ltd.

Beijing Volcano Engine Technology Co., Ltd.

Megvii (beijing) Technology Co., Ltd.

Xinyu Zhou

Shuchang Zhou

Qi Yin

Cong Yao

Yuxin Wu

Xuan Luo

Xiangyu Zhang

Wenhai Yang

Jianan Wu

Weiran He

Mengxiao Lin

Dieqiao Feng

The present disclosure provides an asynchronous rendering method and apparatus, a device and a storage medium. The asynchronous rendering method is applied to a rendering engine, the rendering engine includes a synchronous rendering process and an asynchronous rendering process. The method includes: grouping primitives in an interface to be rendered to a plurality of primitive groups based on functions corresponding to each primitive of the primitives; determining rendering flags corresponding to each of the plurality of primitive groups, wherein the rendering flags include a synchronous rendering flag and an asynchronous rendering flag; and rendering primitive groups based on the rendering flags corresponding to each of the plurality of primitive groups, wherein a primitive group with the synchronous rendering flag is rendered by the synchronous rendering process, and a primitive group with the asynchronous rendering flag is rendered by the asynchronous rendering process.

Asynchronous rendering method and apparatus, device and storage medium

Provided are image processing method and apparatus for processing an input image using a convolutional neural network system, and a computer-readable storage medium. The convolutional neural network system that includes an input layer, an intermediate layer and an output layer, the image processing method includes: receiving the input image via the input layer; extracting image features of the input image via the intermediate layer; and outputting processing results for the input image via the output layer, wherein the intermediate layer includes at least one network block each of which includes a first convolutional layer, a first grouping rearrangement layer and a second convolutional layer that are cascaded.

Image processing method, image processing apparatus, and computer-readable storage medium

A method, a device and a computer program product for determining a geographical location of a user are disclosed. The method comprises: extracting characters or icons in an image taken at a place where the user is located; analyzing the extracted characters or icons to determine a meaning of the characters or the icons; and determining the geographical location of the user based on the meaning of the characters or the icons. With the method, the device and the computer program product, the geographical location of the user may be accurately determined in various scenarios.

Determination of a geographical location of a user

Provided are an image processing method and a client device, an image authentication method and a server device. The image processing method comprises: photographing an object to obtain a first image; sending a key acquiring request to a server and receiving a key from the server; generating a second image based on the key and the first image; and sending the second image to the server. The image authentication method comprises: receiving a key acquiring request from a client; generating a key and sending the key to the sever in response to the key acquiring request; receiving an image for authentication from the client; and authenticating the image for authentication by using the key.

Image processing method and client device, image authentication method and server device

There are provided a focusing point determining method and apparatus. The focusing point determining method comprises: obtaining a view-finding image within a view-finding coverage; identifying a significance area in the view-finding image; and extracting at least one focusing point from the identified significance area. By identifying the significance area in the view-finding image and extracting at least one focusing point from the identified significance area, the focusing point determining method and apparatus can ensure accuracy of a selected focusing point to a certain extent, so as to ensure accuracy of focusing.

Focusing point determining method and apparatus

Provided are a liveness authentication method and apparatus. The method comprises: filtering out light of a first predetermined waveband from incident light incident to a first area; detecting an intensity of the filtered light as a first light intensity; and determining that a liveness authentication is failed in the case that the first light intensity satisfies a predetermined condition. The liveness authentication is performed through determining whether the incident light is cold light. In the case that the incident light is light emitted from a liquid crystal display screen, it is determined that the incident light is the cold light, and it is determined that the liveness authentication is failed.

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Beijing, China

Xinyu Zhou