Beijing Baidu Netcom Science and Technology Co., Ltd.

Baidu Online Network Technology (beijing) Co., Ltd.

Chinese Academy of Sciences

Beijing Baidu Netcom Science Technology Co., Ltd

Other

Beijing Increase Innovative Drug Co., Ltd

Baidu Online Network Technology Co., Ltd.

Hongwu Zhang

Hao Sun

Errui Ding

Shilei Wen

Xiao Tan

Yongjie Zhang

Xiaoqing Ye

Juan Du

Chaoqun Nie

Jian Wang

Bin Zhang

Fan Li

Mingyu Chen

Yuan Feng

Yingze Bao

Fu Li

Le Kang

Pengcheng Yuan

Zeyu Liu

Yuan Lin

Sili Chen

Jingwei Liu

Chengyue Zhang

Zhaoliang Liu

Shumin Han

Xiaodi Wang

Ying Xin

Shufei Lin

Yingbo Xu

Sichen Wang

Xin Li

Chao Li

Jun Li

Tao Liu

Xiao Xi Liu

Song Yang

Jie Hu

Xubin Li

Dongliang He

Henan Zhang

Zhizhen Chi

Wenhui Li

Tianwei Lin

Fang Wang

Jianfeng Zhu

Minyue Jiang

Xipeng Yang

Zhiyun Kang

Zipeng Lu

Yukang Ding

Jichao Li

Hongtian Yang

Jingxi Lu

Zhiting Tong

Mingyuan Mao

Chunmei Xue

Zhenzhen Wu

Baoxian Zhang

Yanwei Song

Anping Chen

Hengchun Ren

Xiao Liu

Provided are a Rho kinase inhibitor, a method for preparing same and the uses thereof. The Rho kinase inhibitor designates a compound of Formula I, a stereoisomer thereof or pharmaceutically acceptable salt thereof. The Rho kinase inhibitor promotes endothelial cells and endothelin expression, prostenin expression, and vascular factors NO synthesis and secretion, has a promoting effect on proprostin expression independently of the doses used, shows lower toxicity, while being safer.

Rho kinase inhibitor, method for preparing same and uses thereof

Embodiments of the present disclosure disclose a method and apparatus for determining a target anchor, a device and a storage medium. The method may include: extracting a plurality of feature maps of an original image using a feature extraction network; inputting the plurality of feature maps into a feature pyramid network to perform feature fusion, to obtain a plurality of fused feature maps; and using a region proposal network to implement operations as follows: determining an initial anchor of a network head using the fused feature map, based on a size of each fused feature map, and determining an offset parameter of the initial anchor, based on a ratio of the size of the fused feature map to the original image, and generating a plurality of candidate anchors in different directions, based on the offset parameter of the initial anchor.

Method and apparatus for determining target anchor, device and storage medium

A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.

Method for detecting surface defect, method for training model, apparatus, device, and media

The present application discloses a vehicle re-identification method and apparatus, a device and a storage medium, which relates to the field of computer vision, intelligent search, deep learning and intelligent transportation. The specific implementation scheme is: receiving a re-identification request from a terminal device, the re-identification request including a first image of a first vehicle shot by a first camera and information of the first camera; acquiring a first feature of the first vehicle and a first head orientation of the first vehicle according to the first image; determining a second image of the first vehicle from images of multiple vehicles according to the first feature, multiple second features extracted based on the images of the multiple vehicles in an image database, the first head orientation of the first vehicle, and the information of the first camera; and transmitting the second image to the terminal device.

Vehicle re-identification method, apparatus, device and storage medium

The present application discloses a method and an apparatus for detecting wearing of a safety helmet, a device and a storage medium. The method for detecting wearing of a safety helmet includes: acquiring a first image collected by a camera device, where the first image includes at least one human body image; determining the at least one human body image and at least one head image in the first image; determining a human body image corresponding to each head image in the at least one human body image according to an area where the at least one human body image is located and an area where the at least one head image is located; and processing the human body image corresponding to the at least one head image according to a type of the at least one head image.

Method and apparatus for detecting wearing of safety helmet, device and storage medium

A method and apparatus for positioning a key point, a device, and a storage medium are provided. The method may include: extracting a first feature map and a second feature map of a to-be-positioned image, the first feature map and the second feature map being different feature maps; determining, based on the first feature map, an initial position of a key point in the to-be-positioned image; determining, based on the second feature map, an offset of the key point; and adding the initial position of the key point with the offset of the key point to obtain a final position of the key point.

Method and apparatus for positioning key point, device, and storage medium

The disclosure provides human-tracking methods, systems, and storage media. The method includes: acquiring a plurality of human point clouds of a current frame from a plurality of cameras; generating a total point cloud of the current frame by integrating the plurality of human point clouds of the current frame; acquiring a plurality of human point clouds of a next frame from the plurality of cameras; acquiring a total point cloud of the next frame by integrating the plurality of human point clouds of the next frame; and performing human tracking based on the total point cloud of the current frame and the total point cloud of the next frame.

Human-tracking methods, systems, and storage media

The present disclosure provides a three-dimensional (3D) object detection method, a 3D object detection apparatus, an electronic device, and a readable storage medium, belonging to a field of computer vision technologies. Two-dimensional (2D) image parameters and initial 3D image parameters are determined for a target object. Candidate 3D image parameters are determined for the target object based on a disturbance range of 3D parameters and the initial 3D image parameters determined for the target object. Target 3D image parameters are selected for the target object from the candidate 3D image parameters determined for the target object based on the 2D image parameters. A 3D detection result of the target object is determined based on the target 3D image parameters.

Three-dimensional object detection method, electronic device and readable storage medium

Embodiments of the present disclosure provide a method and apparatus for processing a video frame, and relates to the field of computer vision technology. The method may include: acquiring a plurality of candidate first-order radial distortion parameters preset for a to-be-processed video frame, and acquiring a specified value of a specified radial distortion parameter; performing radial distortion correction on the to-be-processed video frame to obtain a first initial corrected video frame; selecting a first initial corrected video frame in which a local region except for a center region after distortion correction includes a largest number of straight line segments; and determining a candidate first-order radial distortion parameter corresponding to the selected first initial corrected video frame for use as a target first-order radial distortion parameter of the to-be-processed video frame.

Method and apparatus for processing video frame

An apparatus for diagnosing and controlling the aerodynamic stability of a compressor and method there of are provided. The apparatus includes a measurement device (), a signal processing device () and a control and execution device (), wherein the measurement device () is configured to measure the pressure or velocity fluctuations of air flows in different positions inside a compressor in real time, and to transmit real-time measurement signals obtained from different positions to the signal processing device (); the signal processing device () is configured to determine, according to the real-time measurement signals, a type and spatial distribution of instability precursor in the compressor, and to output corresponding control strategy signals to the control and execution device (); and the control and execution device () executes, according to the received control strategy signals, corresponding control actions to regulate the stability of the compressor (S).

Apparatus and method for diagnosing and controlling aerodynamic stability of compressor

Embodiments of the present disclosure disclose a method and apparatus for generating position information, a device and a medium. A specific embodiment of the method includes: acquiring an image and vehicle position information, wherein the image includes a target element; inputting the image into a pre-established depth map generation model to obtain a first depth map, wherein the focal length of sample images of sample data used during the training of the model is a sample focal length; generating a second depth map based on the sample focal length, the first depth map, and an estimated focal length of the image; determining depth information of the target element according to element position information of the target element in the image and the second depth map; and generating position information of the target element based on the vehicle position information and the depth information of the target element.

Method and apparatus for generating position information, device, and medium

Embodiments of the present disclosure provide a method and apparatus for generating an image. The method may include: receiving a first image including a face input by a user in an interactive scene; presenting the first image to the user; inputting the first image into a pre-trained generative adversarial network in a backend to obtain a second image output by the generative adversarial network; where the generative adversarial network uses face attribute information generated based on the input image as a constraint; and presenting the second image to the user in response to obtaining the second image output by the generative adversarial network in the backend.

Method and apparatus for generating face image

A dynamic five-hole probe includes a pressure sensing part, a pressure measuring hole transition section, a pressure acquisition section, dynamic pressure sensors and flexible wall pressure buffering tubes, the pressure sensing part being provided with pressure measuring holes to sense three dimensional dynamic pressure components of an airflow; the pressure measuring hole transition section transits from an inlet end surface five-hole structure into an outlet end surface five-hole structure; the pressure acquisition section has therein a centrally symmetric pressure measuring hole structure; pressure sensor mounting holes are in communication with the five pressure measuring holes; each of the dynamic pressure sensors is mounted in a corresponding one of the sensor mounting holes to measure a dynamic pressure of the airflow. The pressure sensing part may have a diameter of 3 mm or less.

Dynamic five-hole probe

A method for video frame interpolation, a related electronic device and a storage medium is disclosed. A video is obtained. An (i&#x2212;1)frame and an iframe of the video are obtained. Visual semantic feature maps and depth maps of the (i&#x2212;1)frame and the iframe are obtained. Frame interpolation information is obtained based on the visual semantic feature maps and the depth maps. An interpolated frame between the (i&#x2212;1)frame and the iframe is generated based on the frame interpolation information and the (i&#x2212;1)frame and is inserted between the (i&#x2212;1)frame and the iframe.

Method for video frame interpolation, related electronic device and storage medium

A haptic signalizing device comprises a number of piezoelectric elements arranged below a device surface such that mechanical deformations caused by the converse piezoelectric effect in the at least one piezoelectric element make the device surface to move such that the device surface follows the piezoelectric element and a driving circuit configured to cause the converse piezoelectric effect on the at least one piezoelectric element by generating an alternating electric field over the piezoelectric element in a bipolar fashion, that is, consecutively in both the same and the opposite direction with respect to the polarization of the piezoelectric element, to make the piezoelectric element to move beyond its initial position consecutively in both directions. The piezoelectric element is arranged i) to locally move the device surface inwards when the mechanical deformation in the piezoelectric element is a deflection directed away from the device surface, and ii) to locally move the device surface outwards when the mechanical deformation in the piezoelectric element is a deflection that is directed towards the device surface.

High frequency response pressure sensor based on direct current glow discharge plasma principle

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Beijing, China

Hongwu Zhang