Beijing Sensetime Technology Development Co., Ltd.

Jianping Shi

Mingyang Huang

Zhe Wang

Yi Qu

Qing Luan

Wanzeng Fu

Xiaoou Tang

Ping Luo

Xing Dai

Lei Wang

Xiaogang Wang

Kai Chen

Shu Hua Liu

Hongsheng Li

Xiaoxiao Li

Chen Change Loy

Qinqin Xu

Dahua Lin

Ziwei Liu

Yuankai Qi

Yuanzhen Hao

Hengshuang Zhao

Xingang Pan

Yule Li

Jiaya Jia

Haifang Qin

Lu Qi

Guangliang Cheng

A face image processing method and apparatus, an electronic device, and a storage medium are provided. The method includes: obtaining face key points and a face deflection angle in a face image; determining a submalar triangle center in the face image according to the face key points and the face deflection angle; determining a submalar triangle region in the face image according to the face key points and the submalar triangle center; and performing color filling on the submalar triangle region. By means of the present disclosure, a submalar triangle region can be accurately positioned, and submalar triangle filling is performed based on the accurately positioned submalar triangle region, thereby obtaining a more natural filling effect.

Face image processing method and apparatus, electronic device, and storage medium

An image processing method and apparatus, and a computer-readable storage medium are provided. The method includes: determining a first region matching a target object in a first image; determining a deformation parameter based on a preset deformation effect, the deformation parameter being used for determining a position deviation, generated based on the preset deformation effect, of each pixel point of the target object; and performing deformation processing on the target object in the first image based on the deformation parameter to obtain a second image.

Image processing method and apparatus, electronic device, and computer-readable storage medium

Method and apparatus for generating a road map, electronic device, and non-transitory computer storage medium are disclosed, including: inputting a remote sensing image into a first neural network to extract first road feature information of multiple channels via the first neural network; inputting the first road feature information of multiple channels into a third neural network, to extract third road feature information of multiple channels via the third neural network, where the third neural network is a neural network trained by using road direction information as supervision information; fusing the first road feature information and the third road feature information; and generating a road map according to a fusion result.

Method and apparatus for generating road map, electronic device, and computer storage medium

An instance segmentation method includes: performing feature extraction on an image via a neural network to output features at at least two different hierarchies; extracting region features corresponding to at least one instance candidate region in the image from the features at the at least two different hierarchies, and fusing region features corresponding to a same instance candidate region, to obtain a first fusion feature of each instance candidate region; and performing instance segmentation based on each first fusion feature, to obtain at least one of an instance segmentation result of the corresponding instance candidate region or an instance segmentation result of the image.

Instance segmentation methods and apparatuses, electronic devices, programs, and media

A method and an apparatus for segmenting a video object, an electronic device, a storage medium, and a program include: performing, among at least some frames of a video, inter-frame transfer of an object segmentation result of a reference frame in sequence from the reference frame, to obtain an object segmentation result of at least one other frame among the at least some frames; determining other frames having lost objects with respect to the object segmentation result of the reference frame among the at least some frames; using the determined other frames as target frames to segment the lost objects, so as to update the object segmentation results of the target frames; and transferring the updated object segmentation results of the target frames to the at least one other frame in the video in sequence. The accuracy of video object segmentation results can therefore be improved.

Method and apparatus for segmenting video object, electronic device, and storage medium

Vehicle-mounted camera pose estimation methods, apparatuses, and systems, and electronic devices involve performing lane line detection of a road on which a vehicle drives on the basis of a video stream of the road acquired by a vehicle-mounted camera; obtaining horizon information of the road on which the vehicle drives according to a lane line detection result; and obtaining pose information of the vehicle-mounted camera according to the horizon information.

Vehicle-mounted camera pose estimation method, apparatus, and system, and electronic device

Image detection methods and apparatuses, electronic devices and storage media include: down-sampling a second image to obtain a first image; determining at least one key sub-region in the second image for category detection; respectively extracting a feature of the first image and a feature of the at least one key sub-region; and generating a category detection result of the second image at least based on the extracted features.

Methods and apparatuses for image detection, electronic devices and storage media

A method for implementing image enhancement includes: performing filtering processing on a to-be-processed image to obtain an image subjected to the filtering processing; determining similarity degrees between pixel points in the to-be-processed image and a target region of a target object in the to-be-processed image; and fusing the similarity degrees, the to-be-processed image and the image subjected to the filtering processing, so that the higher a similarity degree between a pixel point and the target object in the to-be-processed image, the stronger a filtering effect of the pixel point, and the lower a similarity degree between the pixel point and the target object in the to-be-processed image, the weaker a filtering effect of the pixel point.

Method and apparatus for implementing image enhancement, and electronic device

A key frame scheduling method and apparatus include: performing feature extraction on a current frame through a first network layer of a neural network to obtain low-layer features of the current frame acquiring a scheduling probability of the current frame according to low-level features of a previous key frame adjacent to the current frame and the low-level features of the current frame; determining whether the current frame is scheduled as a key frame according to the scheduling probability value of the current frame; and when determining that the current frame is scheduled as a key frame, performing feature extraction on low-level features of a current key frame via a second network layer of the neural network to obtain high-level features of the current key frame, where the network depth of the first network layer is less than the network depth of the second network layer.

Keyframe scheduling method and apparatus, electronic device, program and medium

A method and device for image recognition and a storage medium are provided. The method includes: a target image is acquired; feature extraction processing is performed on the target image through convolutional layers in a neural network model to obtain feature maps, and Instance Normalization (IN) and Batch Normalization (BN) processing is performed on the feature maps to obtain a recognition result of the target image; and the recognition result of the target image is output.

Method and device for image processing, and computer storage medium

A visual positioning method includes: detecting a lane line of a surface based on a video stream of the road surface collected by a camera mounted on a vehicle; determining first reference point information at a current angle of view according to a detection result of the lane line; determining a third homography matrix according to the first and second reference point information at a previous angle of view of the camera, the position of a second reference point corresponds to that of a first reference point, and the third homography matrix is used for representing a mapping relationship between a coordinate of the camera at the current angle of view and a coordinate of the camera at the previous angle of view; determining a first homography matrix according to the third homography matrix and a predetermined homography matrix; and performing positioning according to the first homography matrix.

Visual positioning method and apparatus, electronic device, and system

A method for scene parsing includes: performing a convolution operation on a to-be-parsed image by using a deep neural network to obtain a first feature map, the first feature map including features of at least one pixel in the image; performing a pooling operation on the first feature map to obtain at least one second feature map, a size of the second feature map being less than that of the first feature map; and performing scene parsing on the image according to the first feature map and the at least one second feature map to obtain a scene parsing result of the image, the scene parsing result including a category of the at least one pixel in the image. A system for scene parsing and a non-transitory computer-readable storage medium can facilitate realizing the method.

Method and system for scene parsing and storage medium

Embodiments of the present disclosure provide a method and an apparatus for displaying a business object in a video image and an electronic device. The method for displaying a business object in a video image includes: detecting at least one target object from a video image, and determining a feature point of the at least one target object; determining a display position of a to-be-displayed business object in the video image according to the feature point of the at least one target object; and drawing the business object at the display position by using computer graphics. According to the embodiments of the present disclosure, the method and apparatus are conductive to saving network resources and system resources of a client.

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Beijing, China

Jianping Shi