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  1. Chapter and Conference Paper

    The Sixth Visual Object Tracking VOT2018 Challenge Results

    The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...

    Matej Kristan, Aleš Leonardis, Jiří Matas in Computer Vision – ECCV 2018 Workshops (2019)

  2. Chapter and Conference Paper

    Application of Growth Curve in Agricultural Scientific Research

    This paper introduces the application of logistic curve in agricultural science, and gives a division method of parameter estimation of logistic curve. Because the logistic curve contains three parameters, it ...

    Zeng-hui Wang, Yan-jun Zhao, Yang Liu in Computer and Computing Technologies in Agr… (2019)

  3. No Access

    Chapter and Conference Paper

    Threshold-Dependent Joint Bilateral Filter Algorithm for Enhancing 3D Gated Range-Intensity Correlation Imaging

    Three-dimensional gated range-intensity correlation imaging (GRICI) can acquire three-dimensional information of targets with high range resolution in real time. In practical applications, the intensity distri...

    Yuqing Yang, **nwei Wang, Liang Sun, Jianan Chen in Intelligent Robotics and Applications (2019)

  4. Chapter and Conference Paper

    China’s Wine Import Industry: An Economic Analysis of Influencing Trade Factors

    In recent years, China is undergoing a huge economic transformation since joining in World Trade Organization (WTO) and it has showed an increasing demand for wine. As China’s wine consumption market is increa...

    Yu Hu, Wei Ma, Ruimei Wang, Huan Song in Computer and Computing Technologies in Agr… (2019)

  5. No Access

    Chapter and Conference Paper

    Computer-Based Attention Training Improves Brain Cognitive Control Function: Evidences from Event-Related Potentials

    The present study explored the mechanism of attention bias modification (ABM) on Social Anxiety Disorder (SAD). The participants were assigned into training group (attention modification program, AMP) or atten...

    Lei Zheng, Dong-ni Pan, Yi Wang, Xuebing Li in Cognitive Systems and Signal Processing (2019)

  6. Chapter and Conference Paper

    The Study of the Work Parameters of the Corn Harvester Cutter

    In this paper, the analytical method of multivariate variance is applied to study the function of the various performance factors of the straight-edge cylindrical cutter. Research results indicate that the mai...

    Zeng-hui Wang, Yan-jun Zhao, Yang Liu in Computer and Computing Technologies in Agr… (2019)

  7. No Access

    Chapter and Conference Paper

    Trajectory Tracking Control of a 7-Axis Robot Arm Using SMCSPO

    Multi-axis-robots have been wildly used in industry for soldering, plasma cutting with an indirect contact without high disturbance. However, recently, the multi axis robot is designed for a direct contact wor...

    Wang Jie, Saad Jamshed, Dong-Jun Kim, Bao Yulong in Intelligent Robotics and Applications (2019)

  8. No Access

    Chapter and Conference Paper

    An Advanced Version of MDNet for Visual Tracking

    Tracking-by-detection is an effective framework for visual tracking tasks. For example, the Multi-Domain Convolution Neural Network (MDNet) achieves outstanding results in multiple benchmarks. However, the t...

    Junfei Zhuang, Yuan Dong, Hongliang Bai, Gang Wang in Neural Information Processing (2019)

  9. Chapter and Conference Paper

    Effects of Exogenous Gamma-Aminobutyric Acid on Absorption and Regulation of Ion in Wheat Under Salinity Stress

    Gamma-aminobutyric acid (GABA), a four-carbon non-protein amino acid, is a significant component of the free amino acid pool, there are numerous reports that rapid and large increases in GABA levels occur in p...

    **aodong Wang, Hongtu Dong, Peichen Hou in Computer and Computing Technologies in Agr… (2019)

  10. No Access

    Chapter and Conference Paper

    Enhanced LSTM with Batch Normalization

    Recurrent neural networks (RNNs) are powerful models for sequence learning. However, the training of RNNs is complicated because the internal covariate shift problem, where the input distribution at each iter...

    Li-Na Wang, Guoqiang Zhong, Shoujun Yan, Junyu Dong in Neural Information Processing (2019)

  11. No Access

    Chapter and Conference Paper

    Gated Contiguous Memory U-Net for Single Image Dehazing

    Single image dehazing is a challenging problem that aims to recover a high-quality haze-free image from a hazy image. In this paper, we propose an U-Net like deep network with contiguous memory residual blocks...

    Lei **ang, Hang Dong, Fei Wang, Yu Guo, Kaisheng Ma in Neural Information Processing (2019)

  12. No Access

    Chapter and Conference Paper

    Path Planning of Maritime Autonomous Surface Ships in Unknown Environment with Reinforcement Learning

    Recently, artificial intelligence algorithms represented by reinforcement learning and deep learning have promoted the development of autonomous driving technology. For the ship** industry, research and deve...

    Chengbo Wang, **nyu Zhang, Ruijie Li in Cognitive Systems and Signal Processing (2019)

  13. Chapter and Conference Paper

    PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results

    In this paper, we describe the Perceptual Image Restoration and Manipulation (PIRM) workshop challenge on spectral image super-resolution, motivate its structure and conclude on results obtained by the partici...

    Mehrdad Shoeiby, Antonio Robles-Kelly in Computer Vision – ECCV 2018 Workshops (2019)

  14. No Access

    Chapter and Conference Paper

    Shortest Paths in HSI Space for Color Texture Classification

    Color texture representation is an important step in the task of texture classification. Shortest paths was used to extract color texture features from RGB and HSV color spaces. In this paper, we propose to us...

    Mingxin **, Yongsheng Dong, Lintao Zheng, Lingfei Liang in Intelligence Science II (2018)

  15. No Access

    Chapter and Conference Paper

    SmartSwim: An Infrastructure-Free Swimmer Localization System Based on Smartphone Sensors

    Many works have focused their attention on the sports activity monitoring and recognition using inherit sensors on the smartphone. However, distinct from many on-the-ground activities, swimming is not only har...

    Dong **ao, Zhiwen Yu, Fei Yi, Liang Wang in Inclusive Smart Cities and Digital Health (2016)