Patents by Inventor Yuchen Yuan

Yuchen Yuan 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).

  • Patent number: 11854237
    Abstract: A human body identification method, an electronic device and a storage medium, related to the technical field of artificial intelligence such as computer vision and deep learning, are provided. The method includes: inputting an image to be identified into a human body detection model, to obtain a plurality of preselected detection boxes; identifying a plurality of key points from each of the preselected detection boxes respectively according to a human body key point detection model, and obtaining a key point score of each of the key points; determining a target detection box from each of the preselected detection boxes, according to a number of the key points whose key point scores meet a key point threshold; and inputting the target detection box into a human body key point classification model, to obtain a human body identification result for the image to be identified.
    Type: Grant
    Filed: June 21, 2021
    Date of Patent: December 26, 2023
    Assignee: Beijing Baidu Netcom Science and Technology Co., LTD
    Inventors: Zipeng Lu, Jian Wang, Yuchen Yuan, Hao Sun, Errui Ding
  • Patent number: 11790553
    Abstract: Embodiments of the present disclosure provide a method and apparatus for detecting a target object, an electronic device, and a computer readable storage medium. The method may include: acquiring a to-be-detected image; processing the to-be-detected image using an object detection model including a deformable convolutional layer to obtain an offset prediction result of the deformable convolutional layer; and adjusting a size of an anchor point using the offset prediction result, and determining position information of the target object in the to-be-detected image using the anchor point of the adjusted size.
    Type: Grant
    Filed: June 22, 2021
    Date of Patent: October 17, 2023
    Assignee: Beijing Baidu Netcom Science and Technology Co., Ltd.
    Inventor: Yuchen Yuan
  • Publication number: 20220383535
    Abstract: The present disclosure provides an object tracking method, an object tracking device, an electronic device and a computer-readable storage medium, and relates to the field of computer vision technology.
    Type: Application
    Filed: September 25, 2020
    Publication date: December 1, 2022
    Inventors: Xiangbo SU, Yuchen YUAN, Hao SUN
  • Publication number: 20210334985
    Abstract: A method and apparatus for tracking a target are provided. The method may include: generating a position of a candidate box of a to-be-tracked target in a to-be-processed image; determining, for a pixel in the to-be-processed image, a probability that each anchor box of at least one anchor box arranged for the pixel includes the to-be-tracked target, and determining a deviation of the candidate box corresponding to the anchor box relative to the anchor box; determining candidate positions of the to-be-tracked target corresponding to the at least two anchor boxes respectively; and combining at least two candidate positions among the determined candidate positions to obtain a position of the to-be-tracked target in the to-be-processed image.
    Type: Application
    Filed: February 22, 2021
    Publication date: October 28, 2021
    Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.
    Inventors: Xiangbo SU, Yuchen Yuan, Hao Sun
  • Publication number: 20210319231
    Abstract: Embodiments of the present disclosure provide a method and apparatus for detecting a target object, an electronic device, and a computer readable storage medium. The method may include: acquiring a to-be-detected image; processing the to-be-detected image using an object detection model including a deformable convolutional layer to obtain an offset prediction result of the deformable convolutional layer; and adjusting a size of an anchor point using the offset prediction result, and determining position information of the target object in the to-be-detected image using the anchor point of the adjusted size.
    Type: Application
    Filed: June 22, 2021
    Publication date: October 14, 2021
    Inventor: Yuchen Yuan
  • Publication number: 20210312172
    Abstract: A human body identification method, an electronic device and a storage medium, related to the technical field of artificial intelligence such as computer vision and deep learning, are provided. The method includes: inputting an image to be identified into a human body detection model, to obtain a plurality of preselected detection boxes; identifying a plurality of key points from each of the preselected detection boxes respectively according to a human body key point detection model, and obtaining a key point score of each of the key points; determining a target detection box from each of the preselected detection boxes, according to a number of the key points whose key point scores meet a key point threshold; and inputting the target detection box into a human body key point classification model, to obtain a human body identification result for the image to be identified.
    Type: Application
    Filed: June 21, 2021
    Publication date: October 7, 2021
    Applicant: Beijing Baidu Netcom Science and Technology Co., LTD
    Inventors: Zipeng Lu, Jian Wang, Yuchen Yuan, Hao Sun, Errui Ding
  • Patent number: 10902300
    Abstract: The present disclosure provides a method and apparatus for training a fine-grained image recognition model, a device and a storage medium. The method comprises: obtaining images as training samples, and respectively obtaining a tag corresponding to each image, the tag including a class to which the image belongs; training according to the training samples and corresponding tags to obtain a fine-grained image recognition model, and performing constraint at a feature level from two dimensions, namely, the class and object parts, during the training, so that the fine-grained image recognition model learns key object parts in the images; upon performing the fine-grained image recognition, inputting a to-be-recognized image to the fine-grained image recognition model, so that the fine-grained image recognition model positions key object parts in the image, and completes fine-grained image classification according to the key object parts, and outputs a classification result.
    Type: Grant
    Filed: November 29, 2018
    Date of Patent: January 26, 2021
    Assignee: BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) CO., LTD.
    Inventors: Ming Sun, Yuchen Yuan, Feng Zhou
  • Publication number: 20190171904
    Abstract: The present disclosure provides a method and apparatus for training a fine-grained image recognition model, a device and a storage medium. The method comprises: obtaining images as training samples, and respectively obtaining a tag corresponding to each image, the tag including a class to which the image belongs; training according to the training samples and corresponding tags to obtain a fine-grained image recognition model, and performing constraint at a feature level from two dimensions, namely, the class and object parts, during the training, so that the fine-grained image recognition model learns key object parts in the images; upon performing the fine-grained image recognition, inputting a to-be-recognized image to the fine-grained image recognition model, so that the fine-grained image recognition model positions key object parts in the image, and completes fine-grained image classification according to the key object parts, and outputs a classification result.
    Type: Application
    Filed: November 29, 2018
    Publication date: June 6, 2019
    Applicant: BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) CO., LTD.
    Inventors: Ming Sun, Yuchen Yuan, Feng Zhou