Patents by Inventor Guohui Wang

Guohui Wang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240372963
    Abstract: A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can be assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.
    Type: Application
    Filed: July 15, 2024
    Publication date: November 7, 2024
    Inventors: Lidiia Bogdanovych, William Brendel, Samuel Edward Hare, Fedir Paliakov, Guohui Wang, Xuehan Xiong, Jianchao Yang, Linjie Yang
  • Patent number: 12134386
    Abstract: A smooth cooperative lane change control method for multi-connected and autonomous vehicles (CAVs), including: acquiring vehicle information of a lane-changing vehicle M and four surrounding vehicles A, B, C and D; constructing uncontrolled-vehicle and controlled-vehicle motion state prediction models; according to the motion state prediction models, predicting motion states of the lane-changing vehicle M, and the vehicles A, B, C and D; constructing an upper-layer optimization model to calculate an optimal control value and an optimized motion state of the lane-changing vehicle M and an optimal control value of the vehicle A; constructing a lower-layer optimization model to calculate an optimal control value of the vehicle D; and controlling the lane-changing vehicle M, the vehicle A and the vehicle D to run according to a corresponding optimal control value.
    Type: Grant
    Filed: November 14, 2022
    Date of Patent: November 5, 2024
    Assignee: CHANG'AN UNIVERSITY
    Inventors: Siyuan Gong, Kang Sun, Xiangmo Zhao, Xia Wu, Licheng Zhang, Wenjing Wang, Yukun Ding, Congli Zhang, Yihan Sun, Hongda Chang, Ze Li, Lu Zeng, Xinxin Wang, Jiakai Yin, Yuqian Ma, Guohui Zheng
  • Patent number: 12118176
    Abstract: A notification processing method includes: displaying a first window and a second window in a display screen by regions; and popping up, in response to a preset operation on the first window, a first notification bar corresponding to the first window, and displaying, in the first notification bar, a current notification message of the first window or a notification message of a current application corresponding to the first window.
    Type: Grant
    Filed: August 2, 2021
    Date of Patent: October 15, 2024
    Assignee: Huawei Technologies Co., Ltd.
    Inventors: Guohui Han, Bin Liu, Bo Wang
  • Publication number: 20240331245
    Abstract: The present disclosure provides a video processing method, a video processing apparatus, and a storage medium. A picture of the video includes a landmark building and a moving subject. The video processing method includes: identifying and tracking the landmark building in the video; extracting and tracking a key point of the moving subject in the video, and determining a posture of the moving subject based on information of the extracted key point of the moving subject; and making the key point of the moving subject correspond to the landmark building, and driving the landmark building to perform a corresponding action based on an action of the key point of the moving subject, so as to make a posture of the landmark building in the picture of the video correspond to the posture of the moving subject. The video processing method may enhance interactions between the user and the shot landmark.
    Type: Application
    Filed: August 4, 2021
    Publication date: October 3, 2024
    Inventors: Zhili CHEN, Linjie LUO, Jianchao YANG, Guohui WANG
  • Patent number: 12075190
    Abstract: A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can be assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.
    Type: Grant
    Filed: July 13, 2023
    Date of Patent: August 27, 2024
    Assignee: Snap Inc.
    Inventors: Lidiia Bogdanovych, William Brendel, Samuel Edward Hare, Fedir Poliakov, Guohui Wang, Xuehan Xiong, Jianchao Yang, Linjie Yang
  • Publication number: 20240272479
    Abstract: The backlight module includes: a backplane and an adhesive frame. The backplane includes a bottom plate and a plurality of side plates, matching to define an accommodating space. The side plates include at least one first side plate. The first side plate has at least two clamping grooves distributed in an extending direction of the first side plate. The adhesive frame includes subframes connected with the side plates. A first subframe in the subframes is connected with the first side plate. The first subframe includes a bearing part and at least two clamping parts in correspondence with the clamping grooves. The bearing part is on a side of the accommodating space away from the bottom plate. The clamping parts are on a side of the bearing part facing the bottom plate. Each clamping part is clamped with the corresponding clamping groove in a matching mode.
    Type: Application
    Filed: April 26, 2022
    Publication date: August 15, 2024
    Inventors: Guohui WANG, Tianma LI, Liang LI
  • Publication number: 20240249522
    Abstract: A mobile device can generate real-time complex visual image effects using asynchronous processing pipeline. A first pipeline applies a complex image process, such as a neural network, to keyframes of a live image sequence. A second pipeline generates flow maps that describe feature transformations in the image sequence. The flow maps can be used to process non-keyframes on the fly. The processed keyframes and non-keyframes can be used to display a complex visual effect on the mobile device in real-time or near real-time.
    Type: Application
    Filed: April 2, 2024
    Publication date: July 25, 2024
    Inventors: Samuel Edward Hare, Fedir Poliakov, Guohui Wang, Xuehan Xiong, Jianchao Yang, Linjie Yang, Shah Tanmay Anilkumar
  • Patent number: 11989938
    Abstract: A mobile device can generate real-time complex visual image effects using asynchronous processing pipeline. A first pipeline applies a complex image process, such as a neural network, to keyframes of a live image sequence. A second pipeline generates flow maps that describe feature transformations in the image sequence. The flow maps can be used to process non-keyframes on the fly. The processed keyframes and non-keyframes can be used to display a complex visual effect on the mobile device in real-time or near real-time.
    Type: Grant
    Filed: May 4, 2023
    Date of Patent: May 21, 2024
    Assignee: Snap Inc.
    Inventors: Samuel Edward Hare, Fedir Poliakov, Guohui Wang, Xuehan Xiong, Jianchao Yang, Linjie Yang, Shah Tanmay Anilkumar
  • Patent number: 11956330
    Abstract: Methods, systems and computer program products for data fetching in a networked computing environment. In one embodiment, the method comprises receiving a request from an analytical node for a set of data for a defined job, and identifying in networked storage a subset of the data for the job. The subset of data is loaded to the analytical node based on the sequence in which the data are projected to be accessed in the job. In an embodiment, the request includes a specification for the job, and the specification is analyzed to identify the subset of data. In one embodiment, the subset of data is identified by identifying another job having a relationship to the defined job, and identifying the data used for that other job. In an embodiment, the networked computing environment is a cloud computing environment, and the defined job is an analytics job.
    Type: Grant
    Filed: December 30, 2020
    Date of Patent: April 9, 2024
    Assignee: International Business Machines Corporation
    Inventors: Xiaoqiao Meng, Wei Tan, Guohui Wang, Zhe Zhang
  • Publication number: 20240062335
    Abstract: Remote distribution of multiple neural network models to various client devices over a network can be implemented by identifying a native neural network and remotely converting the native neural network to a target neural network based on a given client device operating environment. The native neural network can be configured for execution using efficient parameters, and the target neural network can use less efficient but more precise parameters.
    Type: Application
    Filed: November 1, 2023
    Publication date: February 22, 2024
    Inventors: Guohui Wang, Sumant Milind Hanumante, Ning Xu, Yuncheng Li
  • Publication number: 20230413479
    Abstract: A heat-dissipation assembly, a housing assembly, and an electronic device are provided in the present disclosure. The heat-dissipation assembly includes a liquid-cooling plate having a coolant flow path for receiving a cooling liquid inside the liquid-cooling plate. The liquid-cooling plate may have a coolant inlet and a coolant outlet in communication with the coolant flow path. A piezoelectric ceramic pump may be provided on the liquid-cooling plate. The piezoelectric ceramic pump may have a pump-in port in communication with the coolant outlet, and a pump-out port in communication with the coolant inlet.
    Type: Application
    Filed: August 31, 2023
    Publication date: December 21, 2023
    Inventors: Yunfei GE, Guohui WANG
  • Patent number: 11847760
    Abstract: Remote distribution of multiple neural network models to various client devices over a network can be implemented by identifying a native neural network and remotely converting the native neural network to a target neural network based on a given client device operating environment. The native neural network can be configured for execution using efficient parameters, and the target neural network can use less efficient but more precise parameters.
    Type: Grant
    Filed: April 6, 2022
    Date of Patent: December 19, 2023
    Assignee: Snap Inc.
    Inventors: Guohui Wang, Sumant Milind Hanumante, Ning Xu, Yuncheng Li
  • Publication number: 20230401791
    Abstract: A landmark data collection method includes: determining (S100) a first basic collection point (A), a second basic collection point (B), and a third basic collection point (C) sequentially in an observation area of a landmark building; and collecting (S200) photos of the landmark building based on each of the first basic collection point (A), the second basic collection point (B), and the third basic collection point (C) to obtain landmark data of the landmark building. A photo of the landmark building is taken by a camera at the i-th basic collection point; and a collection point is determined at every predetermined distance interval as the camera is moved in a counterclockwise direction and/or a clockwise direction, and the photo of the landmark building is taken by the camera at the collection point, until the camera is moved out of the observation area, where i=1, 2, 3.
    Type: Application
    Filed: August 4, 2021
    Publication date: December 14, 2023
    Inventors: Zhili CHEN, Linjie LUO, Xiao YANG, Jianchao YANG, Jing LIU, Guohui WANG
  • Publication number: 20230362331
    Abstract: A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can be assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.
    Type: Application
    Filed: July 13, 2023
    Publication date: November 9, 2023
    Inventors: Lidiia Bogdanovych, William Brendel, Samuel Edward Hare, Fedir Poliakov, Guohui Wang, Xuehan Xiong, Jianchao Yang, Linjie Yang
  • Patent number: 11783448
    Abstract: Systems and methods are provided for initiating transfer of image data corresponding to at least one predetermined level of an image pyramid comprising higher resolution to a graphic processing unit (GPU) of the computing device, calculating, by the central processing unit (CPU) of the computing device, optical flow of at least one predetermined coarse level of the image pyramid, transferring, by the CPU of the computing device, the calculated optical flow of the at least one predetermined coarse level of the image pyramid to the GPU, calculating, by the GPU of the computing device, the optical flow of the at least one predetermined level of the image pyramid comprising higher resolution, and outputting, by the GPU of the computing device, the optical flow of the image data.
    Type: Grant
    Filed: May 24, 2021
    Date of Patent: October 10, 2023
    Assignee: Snap Inc.
    Inventors: Shah Tanmay Anilkumar, Samuel Edward Hare, Guohui Wang
  • Publication number: 20230306694
    Abstract: A list information display method and apparatus, an electronic device, and a storage medium are provided, the method includes: displaying list information in response to an information display operation triggered by a user; obtaining a real scene shooting image; and loading a plurality of types of information related to the list information into the real scene shooting image and display the real scene shooting image. Due to the use of virtual enhanced display technology, while the list information is displayed in the real scene shooting image, the plurality of types of information related to the list information are also displayed. On one hand, the user can obtain more information related to the list information while obtaining the list information, which improves the efficiency of information acquisition; and on the other hand, the user can obtain information in the real scene shooting image, which improves the visual effect and interactive experience.
    Type: Application
    Filed: August 26, 2021
    Publication date: September 28, 2023
    Inventors: Jingcong ZHANG, Weikai LI, Zihao CHEN, Guohui WANG, Xiao YANG, Haiying CHENG, Anda LI, Ray MCCLURE, Zhili CHEN, Yiheng ZHU, Shihkuang CHU, Liyou XU, Yunzhu LI, Jianchao YANG
  • Publication number: 20230290094
    Abstract: A positioning model optimization method, a positioning method, and a positioning device are provided. The positioning model optimization method includes: inputting a positioning model for a scene, the positioning model including a three-dimensional (3D) point cloud and a plurality of descriptors corresponding to each 3D point in the 3D point cloud; calculating a significance of each 3D point in the 3D point cloud, and if the significance is greater than a predetermined threshold, outputting the 3D point and the plurality of descriptors corresponding to the 3D point to an optimized positioning model for the scene; and outputting the optimized positioning model for the scene.
    Type: Application
    Filed: July 22, 2021
    Publication date: September 14, 2023
    Inventors: Linjie LUO, Jing LIU, Zhili CHEN, Guohui WANG, Xiao YANG., Jianchao YANG, Xiaochen LIAN
  • Patent number: 11756276
    Abstract: An image processing method and apparatus for augmented reality, an electronic device and a storage medium, including: acquiring a target image in response to an image acquiring instruction triggered by a user, where the target image includes a target object; acquiring an augmented reality model of the target object, and outputting the augmented reality model in combination with the target object; acquiring target audio data selected by the user, and determining an audio feature with temporal regularity according to the target audio data; and driving the augmented reality model according to the audio feature and a playing progress of the target audio data when outputting the target audio data.
    Type: Grant
    Filed: November 8, 2022
    Date of Patent: September 12, 2023
    Assignees: BEIJING BYTEDANCE NETWORK TECHNOLOGY CO., LTD., BYTEDANCE INC.
    Inventors: Yunzhu Li, Jingcong Zhang, Xuchen Song, Jianchao Yang, Guohui Wang, Zhili Chen, Linjie Luo, Xiao Yang, Haoze Li, Jing Liu
  • Publication number: 20230274543
    Abstract: A mobile device can generate real-time complex visual image effects using asynchronous processing pipeline. A first pipeline applies a complex image process, such as a neural network, to keyframes of a live image sequence. A second pipeline generates flow maps that describe feature transformations in the image sequence. The flow maps can be used to process non-keyframes on the fly. The processed keyframes and non-keyframes can be used to display a complex visual effect on the mobile device in real-time or near real-time.
    Type: Application
    Filed: May 4, 2023
    Publication date: August 31, 2023
    Inventors: Samuel Edward Hare, Fedir Poliakov, Guohui Wang, Xuehan Xiong, Jianchao Yang, Linjie Yang, Shah Tanmay Anilkumar
  • Patent number: 11743426
    Abstract: A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can he assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented. using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.
    Type: Grant
    Filed: August 13, 2020
    Date of Patent: August 29, 2023
    Assignee: Snap Inc.
    Inventors: Lidiia Bogdanovych, William Brendel, Samuel Edward Hare, Fedir Poliakov, Guohui Wang, Xuehan Xiong, Jianchao Yang, Linjie Yang