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  1. No Access

    Article

    Gaussian-based adaptive frame skip** for visual object tracking

    Visual object tracking is a basic computer vision problem, which has been greatly developed in recent years. Although the accuracy of object tracking algorithms has been improved, the efficiency of most tracke...

    Fei Gao, Shengzhe You, Yisu Ge, Shifeng Zhang in The Visual Computer (2024)

  2. No Access

    Article

    Occluded person re-identification based on feature fusion and sparse reconstruction

    Person Re-identification is one of the hotspots in the field of computer vision, especially for occluded person re-identification, which is still a challenge. In this paper, a feature fusion and sparse reconst...

    Fei Gao, Yiming **, Yisu Ge, Shufang Lu… in Multimedia Tools and Applications (2024)

  3. No Access

    Article

    Light bottle transformer based large scale point cloud classification

    With the rapid development of computer vision, point clouds technique was widely used in practical applications, such as obstacle detection, roadside detection, smart city construction, etc. However, how to ef...

    En **e, Zhiyong Zhang, Guodao Zhang, **kuo Chen, Yisu Ge in Optoelectronics Letters (2023)

  4. No Access

    Chapter and Conference Paper

    Quantum Genetic Algorithm with Fuzzy Control Based on Clustering Analysis

    Finding the solution of NP hard problem is an interesting puzzle, and numerous evolutionary algorithms are proposed to accelerate the speed of searching. In recent decades, the quantum computer technology has ...

    Weipeng Tang, Yan Pan, Haojie Xu, Yisu Ge in Intelligent Robotics and Applications (2023)

  5. No Access

    Article

    MT-IVSN: a novel model for vehicle re-identification

    Image re-identification is usually used to find specific images from image libraries or video sequences. In recent years, convolutional neural networks have gradually become the dominant method in this field. ...

    Fei Gao, **n Shen, Yisu Ge, Shufang Lu in Journal of Ambient Intelligence and Humani… (2022)

  6. No Access

    Chapter and Conference Paper

    Dense Receptive Field Network: A Backbone Network for Object Detection

    Although training object detectors with ImageNet pre-trained models is very common, the models designed for classification are not suitable enough for detection tasks. So, designing a special backbone network ...

    Fei Gao, Chengguang Yang, Yisu Ge… in Artificial Neural Networks and Machine Lea… (2019)