🤵 Biography
I am a third-year graduate student at Beijing Information Science and Technology University, under the supervision of Prof. Mingxin Yu. Prior to this, I received my bachelor’s degree from Hainan University. My research focuses on computer vision, particularly object detection and pose estimation.
🔥 News
- *2025.03:  🎉🎉 A paper is accepted by IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (SCI,JCR Q1,IF=5.6).
đź“ť Publication
YOLO-MousePose: A Novel Framework and Dataset for Mouse Pose Estimation From a Top–Down View
Mingxin Yu, Hao Dong, Rui You, Shengjun Liang, Qihao Zhang, Yiyuan Ge, Mingwei Lin，Zeshui Xu
Keywords
- Pose estimation
- Mice
- Feature extraction
- Deep learning
đź’» Dataset
Mouse pose dataset from open-field test (MPD-OFT)
The MPD-OFT dataset employs a top–down perspective. The closed-circuit television (CCTV) cameras are set
at different heights to accommodate different sizes and shapes
of open fields, such as small rectangular open fields, spacious
circular water mazes, or Y-shaped and cross mazes, ensuring
full coverage of the experimental areas. As shown in the figure,
(a) Top-view open-field conditions aimed to record the natural behavior of the mouse in system setup diagram. (b) and
(c) Rectangular open-field images. (d)–(f) Cross-maze open-field images.
(g) Morris circle water maze image. (h) Y-maze image.
Features
- Diversity of Open Field
- Multiheight and Multiresolution Camera Settings
- Open Scene With Background
How to use it can be found in the YOLO-MousePose github repository. If you need to obtain the dataset, please contact yumingxin@bistu.edu.cn or 540083559@qq.com
đź“– Educations
- 2022.06 - 2025.04 (now), M.S. Beijing Information Science and Technology University, Electronic Information.
- 2016.09 - 2020.06, B.S. Hainan University, Automation.