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  1. No Access

    Article

    Knowledge transfer via distillation from time and frequency domain for time series classification

    Although deep learning has achieved great success on time series classification, two issues are unsolved. First, existing methods mainly extract features in the single domain only, which means that useful info...

    Kewei Ouyang, Yi Hou, Ye Zhang, Chao Ma, Shilin Zhou in Applied Intelligence (2023)

  2. No Access

    Article

    Evaluation of Object Proposals and ConvNet Features for Landmark-based Visual Place Recognition

    Despite significant progress has been made in visual place recognition for mobile robot navigation, challenges remain, especially in changing environments. Recently, a landmark-based visual place description t...

    Yi Hou, Hong Zhang, Shilin Zhou in Journal of Intelligent & Robotic Systems (2018)

  3. No Access

    Article

    A robust non-rigid point set registration method based on inhomogeneous Gaussian mixture models

    In this paper, we propose a novel robust non-rigid point set registration method adopting a new probability model called inhomogeneous Gaussian mixture models (IGMM), where we regard one point set as the centr...

    Wanxia Deng, Huanxin Zou, Fang Guo, Lin Lei, Shilin Zhou… in The Visual Computer (2018)

  4. No Access

    Article

    BoCNF: efficient image matching with Bag of ConvNet features for scalable and robust visual place recognition

    Recent advances in visual place recognition (VPR) have exploited ConvNet features to improve the recognition accuracy under significant environmental and viewpoint changes. However, it remains unsolved how to ...

    Yi Hou, Hong Zhang, Shilin Zhou in Autonomous Robots (2018)

  5. No Access

    Article

    Point-pattern matching based on point pair local topology and probabilistic relaxation labeling

    This paper presents a robust point-pattern matching (PPM) algorithm, in which the invariant feature and probabilistic relaxation labeling are combined to improve the assignment accuracy and efficiency. A local...

    Wanxia Deng, Huanxin Zou, Fang Guo, Lin Lei, Shilin Zhou in The Visual Computer (2018)

  6. No Access

    Article

    Discriminative Subspace Alignment for Unsupervised Visual Domain Adaptation

    We address the problem of unsupervised visual domain adaptation for transferring category models from one visual domain or image data set to another. We present a new unsupervised domain adaptation algorithm b...

    Hao Sun, Shuai Liu, Shilin Zhou in Neural Processing Letters (2016)