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  1. No Access

    Article

    Target-aware pooling combining global contexts for aerial tracking

    The UAVs captured targets are relatively small when compared with the ordinary surveillance cameras. Thus, a strong discriminative ability is required for aerial trackers to accurately locate small targets, es...

    Yue Wu, Chengtao Cai, Chai Kiat Yeo, Kejun Wu in The Visual Computer (2024)

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    Chapter and Conference Paper

    EFPNet: Effective Fusion Pyramid Network for Tiny Person Detection in UAV Images

    Unmanned Aerial Vehicles (UAVs) have found extensive applications in the field of rescue and navigation scenarios. The objects in UAV images are generally with small sizes, which rises a serious challenge of o...

    Ruichen Zhang, Qiong Liu, Kejun Wu in Artificial Intelligence (2024)

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    Article

    Convex hull regression strategy for people detection on top-view fisheye images

    Due to the severe distortion of the fisheye image, the rectangular bounding box contain a lot of invalid information. So the multi-point representation method are emerging. However, it will fail in some extrem...

    Rengjie Qiao, Chengtao Cai, Haiyang Meng, Kejun Wu, Feng Wang in The Visual Computer (2023)

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    Chapter and Conference Paper

    U-TEN: An Unsupervised Two-Branch Enhancement Network for Object Detection Under Complex-Light Condition

    The goal of low-light enhancement is to improve the visual quality of dark regions in an image. However, the existing low-light enhancement methods always failed in nighttime traffic surveillance. The reason c...

    **aolei Luo, **aoxuan Ma, Song Hu, Kejun Wu, Jiang Tang, You Yang in Image and Graphics (2023)

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    Chapter and Conference Paper

    An Integrated Navigation Method for UAV Autonomous Landing Based on Inertial and Vision Sensors

    In the process of autonomous landing of unmanned aerial vehicles (UAV), the vision sensor is restricted by the field of view and UAV maneuvering process, which may make the acquired relative position/attitude ...

    Kejun Shang, **xi Li, Chongliang Liu, Li Ming, Guangfeng Hu in Artificial Intelligence (2022)

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    Article

    HEU Emotion: a large-scale database for multimodal emotion recognition in the wild

    The study of affective computing in the wild setting is underpinned by databases. Existing multimodal emotion databases in the real-world conditions are few and small, with a limited number of subjects and exp...

    **g Chen, Chenhui Wang, Kejun Wang, Chaoqun Yin in Neural Computing and Applications (2021)

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    Chapter and Conference Paper

    Association of PvuII and XbaI Polymorphisms in Estrogen Receptor Alpha (ESR1) Gene with the Chronic Hepatitis B Virus Infection

    This study aims to investigate the correlation of PvuII (rs2234693) and XbaI (rs9340799) polymorphisms in estrogen receptor alpha (ESR1) gene with Chronic Hepatitis B Virus Infection, and provide new insight a...

    Ke Men, Wen Ren, **a Wang, Tianjian Men, ** Li in Recent Advances in Data Science (2020)

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    Chapter and Conference Paper

    Cross-Database Facial Expression Recognition with Domain Alignment and Compact Feature Learning

    Expression recognition has achieved impressive success in recent years. Most methods are based on the assumption that the training and testing databases follow the same feature distribution. However, distribut...

    Lan Wang, Jianbo Su, Kejun Zhang in Advances in Neural Networks – ISNN 2019 (2019)

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    Chapter and Conference Paper

    Nonstandard Periodic Gait Energy Image for Gait Recognition and Data Augmentation

    The method for synthesizing Gait Energy Image (GEI) is to use the silhouettes overlay of a pedestrian gait cycle, whereas, it is difficult to obtain the silhouettes of a pedestrian gait cycle in practical appl...

    Kejun Wang, Liangliang Liu, Yilong Lee in Pattern Recognition and Computer Vision (2019)

  10. Chapter and Conference Paper

    A Regression Approach for Robust Gait Periodicity Detection with Deep Convolutional Networks

    This paper presents a regression approach to gait periodicity detection via fitting gait sequence to a sine function by deep convolutional neural networks. The key idea is to model the gait fluctuation as a si...

    Kejun Wang, Liangliang Liu, **nnan Ding, Yibo Xu in Pattern Recognition and Computer Vision (2018)

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    Article

    An adaptive neural networks formulation for the two-dimensional principal component analysis

    This study, for the first time, developed an adaptive neural networks (NNs) formulation for the two-dimensional principal component analysis (2DPCA), whose space complexity is far lower than that of its stati...

    **anye Ben, Weixiao Meng, Kejun Wang, Rui Yan in Neural Computing and Applications (2016)

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    Chapter and Conference Paper

    Design and Implementation of a Prototype System for Automatic Obstacle Avoidance Information Collection Vehicle

    For acquiring information about an environment under which people cannot work, a prototype system of autonomous information collection is designed and implemented. The prototype system consists of a vehicle an...

    Yan Zhang, Xuying Zhao, Ri Xu, Jian** Jiang in Inclusive Smart Cities and Digital Health (2016)

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    Chapter and Conference Paper

    Preprocessing Algorithm Research of Touchless Fingerprint Feature Extraction and Matching

    Touchless fingerprint recognition with high acceptance, high security, hygiene advantages, is currently a hot research field of biometrics, but because of the different image principle of the non-contact finge...

    Kejun Wang, **yi Jiang, Yi Cao, **anglei **ng, Rongyi Zhang in Pattern Recognition (2016)

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    Chapter and Conference Paper

    A Finger Vein Image Quality Assessment Method Using Object and Human Visual System Index

    A finger vein image quality assessment method which uses object and human visual system index is proposed. This is based on both the human visual characteristics and finger vein image characteristics captured ...

    Hui Ma, Kejun Wang, Linlin Fan, Fengpeng Cui in Intelligent Science and Intelligent Data E… (2013)

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    Article

    A hybrid intelligent optimization method for multiple metal grades optimization

    One of the most important aspects of metal mine design is to determine the optimum cut-off grades and milling grades which relate to the economic efficiency of enterprises and the service life of mines. This p...

    Shiwei Yu, Kejun Zhu, Yong He in Neural Computing and Applications (2012)

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    Article

    A hybrid MPSO-BP structure adaptive algorithm for RBFNs

    This paper introduces a novel hybrid algorithm to determine the parameters of radial basis function neural networks (number of neurons, centers, width and weights) automatically. The hybrid algorithm combines ...

    Shiwei Yu, Kejun Zhu, Siwei Gao in Neural Computing and Applications (2009)

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    Chapter and Conference Paper

    A Genetic-Neural Method of Optimizing Cut-Off Grade and Grade of Crude Ore

    Cut-off grade and grade of crude ore is crucial to the economic benefit of enterprise and sustainable utilization of resource in mining system. Generally, they are determined by experiment data or worker’s exp...

    Yong He, Sixin Xu, Kejun Zhu, Ting Liu, Yue Li in Advances in Neural Networks - ISNN 2008 (2008)