Beijing Bytedance Network Technology Co., Ltd.

Huawei Technologies Co., Limited

East China Jiaotong University

Kingfa Sci.&tech.co., Ltd.

Zte Corporation

Beijing University of Posts and Telecommunications

Tcl China Star Optoelectronics Technology Co., Ltd.

Other

Boe Technology Group Co., Ltd.

Guangdong Oppo Mobile Telecommunications Corp., Ltd.

Tsinghua University

University of South Florida

Beijing Boe Display Technology Co., Ltd.

Xi'an Zhongxing New Software Co., Ltd.

Beijing Microlive Vision Technology Co., Ltd

Hui Yang

Guangyao Ni

Xiangbin Zeng

Jian Jiao

Kaijin Mai

Xueteng Dong

Kai Xiong

Xianbo Huang

Tongmin Cai

Changli Lu

Zhimin Yuan

Renxu Yuan

Yuke Zhong

Jie Zhang

Qiuyan Yao

Jingjing Zhuge

Yanhao Shen

Rongxiu Lu

Gang Yang

Bowen Bao

Chao Li

Zhengjie Sun

Jianyong Zhu

Shentao Wang

Yuanyuan Zhang

Ling Liu

Xiao Yuan

Zhijun Liu

Hong Meng

Zhongqi Li

Yepeng Chen

Junfeng Cui

Fangping Xu

Xun Yang

Huan Yun Zhang

Yongjun Liu

Zhihao Xing

Xiaohui Xu

Xuefeng Shi

Jinben Wang

Yilin Wang

Haike Yan

Shaohui Lyu

Yanli Zhou

Qi Wang

Houcheng Tang

Lin Guan

Lizhen Dai

Siwei Dong

Yating Fu

Zhiqiang Chen

Bo Zhang

Wei Bai

Wei Wei

Ming Li

Jing Xu

Xiang Gao

Jia Shen

Peng Chen

Liang Zhang

Peng Yuan

Jian Ken Song

Liang Yang

Libin Zhang

Jun Feng

Hui Lu

Shupeng Zhang

Shengqian Ma

Yanping Jiang

Weidong Tang

Wei Zhao

Yizhen Wu

Hongming Zhang

Jifang He

Shuaihua Peng

Kaiyao Wang

Kunhui Hu

Jinghui Xu

Xiaojing Liu

Zhilong Guo

Sen Li

Jia Hu

Shanguo Huang

Meijun Tang

Tang Tang

Wenzhe Liao

Xu Fan

Gang Qiang

Boyuan Hu

Zhenzhuo Zeng

Jinlei Zhang

Baojian Qiu

Jack Han Chin Tai

Hong Helena Zheng

Shuai Dong

Miao Yan

Yunchun Rao

Xiaohui Cheng

Luojun Yang

Mingming Chen

This application discloses example image generation methods and apparatuses, and example electronic devices. One example method includes acquiring one or more spectrum images of a first scene by using a first camera. One or more color images of a second scene can be acquired by using a second camera, wherein the one or more color images and the one or more spectrum images comprise a same target object, and a quantity of photosensitive bands of the first camera is not less than a quantity of photosensitive bands of the second camera. One or more color casts of one or more reconstructed spectrum images of the one or more color images can be corrected based on the one or more spectrum images, to acquire a plurality of corrected reconstructed spectrum images. The plurality of corrected reconstructed spectrum images can be fused to generate a corrected color image.

Image generation method and apparatus and electronic device

Described herein is a simple and versatile synthetic strategy for the preparation of metal-organic frameworks comprising a carbon matrix doped with nitrogen atoms, wherein transition metal ions are bonded to the carbon matrix via the nitrogen atoms. This strategy is applicable for the synthesis of single metal catalysts or multi metal catalysts rich with atomically dispersed metal active sites. The metal-organic frameworks provided herein have numerous application when used in fuel cells.

Atomically dispersed metal catalysts and applications thereof

Provided are an image processing method, an image processing apparatus, an electronic device, and a computer-readable storage medium. The image processing method includes: obtaining a to-be-displayed text; generating a first base image comprising the to-be-displayed text; generating a second base image by determining, based on a display time parameter of the to-be-displayed text, a transparency of the to-be-displayed text in the first base image; generating, based on the second base image, a burr effect image of a to-be-displayed character; generating, based on the burr effect image, an external luminous effect image of the to-be-displayed character; obtaining a rendering image by superimposing the burr effect image and the external luminous effect image; and determining a transparency of a to-be-displayed character in the rendering image based on a position parameter of the to-be-displayed character in the to-be-displayed text, a time stamp, and the display time parameter of the to-be-displayed text.

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

Provided are a character display method and apparatus, an electronic device, and a computer-readable storage medium. The method includes: obtaining a to-be-displayed character; determining a type of the to-be-displayed character; determining a display origin of the to-be-displayed character based on the type of the to-be-displayed character; displaying, at the display origin of the to-be-displayed character, the to-be-displayed character in a first manner in response to the to-be-displayed character being of a first type; and displaying, at the display origin of the to-be-displayed character, the to-be-displayed character in a second manner in response to the to-be-displayed character being of a second type.

Character display method and apparatus, electronic device, and computer-readable storage medium

A pixel structure and an image sensor are provided, to improve photoelectric conversion efficiency under a weak light condition and resolve a problem that an image generated in weak light is dim. The pixel structure includes a metallic ground plane, and a substrate unit cell located on the metallic ground plane. The pixel structure further includes a nano antenna unit that is located on the substrate unit cell and that includes one or more nano antennas, each of the one or more nano antennas corresponding to one optical band and including M parts A nano gap is formed between the M parts, a metal-insulator-metal diode is formed at the nano gap, and M is a multiple of 2. The pixel structure further includes a packaging unit that covers the nano antenna unit. The image sensor includes a plurality of pixel structures.

Pixel structure and image sensor including a nano antenna unit

Provided is an image inpainting method and system guided by an image structure and texture information. The method includes: constructing an image inpainting model with an interaction ability between the image structure and the texture information; preprocessing a damaged image sample to obtain a mask image sample and an edge structure image sample; inputting the damaged image sample, the mask image sample, and the edge structure image sample into the image inpainting model, training the image inpainting model, and generating weight information of the image inpainting model, to obtain a target image inpainting model; obtaining a damaged image to be restored, preprocessing the damaged image to be restored, to obtain a mask image and an edge structure image, separately inputting the damaged image to be restored, the mask image, and the edge structure image into the target image inpainting model, outputting, by the target image inpainting model, a restored image.

Image inpainting method and system guided by image structure and texture information

A transverse wave excitation plasma array generator is provided, comprising a plasma array controller and a controlled profile. The plasma array controller includes a plurality of plasma generators, and the plasma array controller is mounted on the controlled profile. The plasma array controller is configured to: control the plurality of plasma generators to generate high-frequency jets under an excitation of high-frequency electricity, obtain spatially distributed high-frequency transverse waves, and generate, based on the high-frequency transverse waves, high-frequency excitation for controlling a second mode of a boundary layer of the controlled profile to promote transition of the boundary layer of the controlled profile, improving a boundary of a frequency domain of plasma flow control. Besides, each of the plurality of plasma generators is connected in series with a plurality of capacitor units and the plurality of inductive coils to form a multi-level array loop. A lower array loop is connected with the inductive coil of a higher array loop to form a loop module. A plurality of the loop modules are connected in series to form a loop module group. A plurality of the loop module groups are connected in parallel to form the plasma array controller.

Transverse wave excitation plasma array generators

A method and a device for performing special effect processing on an image, an electronic apparatus, and a computer-readable storage medium are provided. The method includes: acquiring a video; arranging a preset movable window on the video, where the window moves on the video; determining a current image based on a current play progress of the video; acquiring, from a data storage layer by an image acquisition unit of a rendering layer, a historical image when the window is moved to a preset position; combining the historical image and the current image by an animation logic processing unit of a script layer and a special effect unit of the rendering layer; and outputting the combined image and displaying the combined image on a terminal screen.

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

A method and an apparatus for processing a facial expression image, an electronic device and a computer-readable storage medium are provided. The method includes: acquiring a first image, the first image comprising a facial image; recognizing a facial expression of the facial image; performing, in response to recognizing the facial expression as a first facial expression, a first processing on the facial image to acquire a first facial image; and covering the first facial image at a position of the facial image, to acquire a first image effect. Generation of a facial image effect is controlled based on a facial expression, thereby solving the technical problem that the image effect is complicated to produce and is fixed since the processing effect cannot be flexibly configured.

Facial expression image processing method and apparatus, and electronic device

Disclosed is an adaptive control method and system for train operating condition identification. The method includes acquiring train operating state data under various traction conditions and calculating traction and braking performance data. An adhesion condition characteristic data set is formed, and train adhesion conditions are divided into Ngrades based on this data set, where Nis a natural number. The current adhesion condition grade Nis identified using the number of adhesion condition grades and current operating state data, where N≤N, establishing a mapping relationship between an adhesion coefficient and maximum deceleration for braking under the identified grade. An optimal train protection curve is generated. By clustering and grading adhesion conditions through a clustering algorithm, the method achieves more accurate adhesion condition analysis. Adaptively generating optimal train protection curves based on adhesion condition grades enhances the reliability and safety of train operations.

Adaptive control method and system based on train operating condition identification

An image matting method and apparatus, an electronic device, and a computer-readable storage medium. The method comprises: performing feature point detection on an image so as to obtain a feature point; acquiring a first image region manually marked on the image; adjusting the first image region according to the feature point, so as to obtain a second image region; and performing matting on the image according to the second image region. The manually marked first image region is adjusted according to the feature point, so as to acquire the second image region which is more accurately positioned, and then matting can be performed according to the second image region so as to accurately extract a required region.

Image matting method and apparatus involve performing feature points detection on image, first image area manually marked on image, and first image area is adjusted according to feature points

A speech signal processing method and a related device thereof are provided. The method may be applied to the audio field and includes: obtaining a user speech signal captured by a sensor; obtaining a corresponding vibration signal when a user generates a speech, where the vibration signal indicates a vibration feature of a body part of the user, and the body part is a part that vibrates correspondingly based on sound-making behavior when the user is making a sound; and obtaining target speech information based on the vibration signal and the user speech signal captured by the sensor. In this application, the vibration signal is used as a basis for speech recognition.

Speech signal processing method and related device thereof

A camera module is provided. The camera module may be separately used as a camera, or may be applied to a terminal device such as a mobile phone or a tablet computer, or a vehicle-mounted device. The camera module includes an optical lens component, a light filtering layer, an image sensor and a drive module. The optical lens component is configured to receive a light beam from a photographed object, and transmit the light beam to the light filtering layer. The light filtering layer is configured to move a position under the drive of the drive module, and respectively transmit light signals filtered at different positions to the image sensor. The image sensor is configured to receive the light signals at the different positions from the light filtering layer, and determine image information based on the light signals at the different positions.

Camera module, camera, terminal device, and method for determining image information

Provided are a character display method and apparatus, an electronic device, and a computer-readable storage medium. The character display method includes: receiving a display parameter; obtaining a to-be-displayed character; obtaining a texture of the to-be-displayed character; and displaying the texture of the to-be-displayed character on a screen based on the display parameter and an attribute of the texture of the to-be-displayed character. According to the method, the display parameter is received, and the texture of the to-be-displayed character is drawn based on the display parameter, which can solve the problem of inflexible controlling on the drawing of the character.

Disclosed are a low congestion routing method of an Optical Network-on-Chip (ONoC) and related devices. In the method, a source IP node sends a route setup request to a first electrical router; the first electrical router determines a first target output port and sends the request to the destination IP node through the first target output port; the destination IP node generates an ACK packet and sends the ACK packet to a second electrical router; the second electrical router determines a second target output port and sends the ACK packet to the source IP node through the second target output port; the source IP node transmits the ACK packet to an optical transmission port, performs an E/O conversion on the ACK packet and sends an optical information packet through optical routers to the destination IP node; the destination IP node performs an O/E conversion on the optical information packet.

Low congestion routing method of Optical Network-on-Chip and related device

Growing community of inventors

Beijing, China

Hui Yang