Skip to main content

and
  1. No Access

    Article

    Traffic sign detection based on visual co-saliency in complex scenes

    Co-saliency detection aims at finding the salient regions from multiple images which capture the focus of human visual system. In this paper, a novel visual co-saliency algorithm is proposed, which adopts thre...

    Lingli Yu, Xumei **a, Kaijun Zhou in Applied Intelligence (2019)

  2. No Access

    Article

    Multi-channel biomimetic visual transformation for object feature extraction and recognition of complex scenes

    Object recognition occurs accurately with human visual neural mechanism despite in different complex background interference. For computer system, it is still a challenging work of object recognition and class...

    Lingli Yu, Mingyue **, Kaijun Zhou in Applied Intelligence (2020)

  3. No Access

    Article

    Occlusion tolerant object recognition using visual memory selection model

    The object image is occluded by obstacles or some of its pixels are removed, which results in incomplete features of the object image and increases the difficulty of object recognition. Aiming at the problem, ...

    Mingyue **, Lingli Yu, Kaijun Zhou, Qian Yi in Applied Intelligence (2022)

  4. No Access

    Article

    Multi-scale discriminant representation for generic palmprint recognition

    Palmprint shows great potential in biometric-based security due to its advantages of great stability, easy collection, and high accuracy. However, with insufficient training samples, how to extract discriminat...

    Lingli Yu, Qian Yi, Kaijun Zhou in Neural Computing and Applications (2023)