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    Article

    RegGeoNet: Learning Regular Representations for Large-Scale 3D Point Clouds

    Deep learning has proven an effective tool for 3D point cloud processing. Currently, most deep set architectures are developed for sparse inputs (typically with a few thousand points), which are unable to prov...

    Qijian Zhang, Junhui Hou, Yue Qian in International Journal of Computer Vision (2022)

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    Chapter and Conference Paper

    Multiple Visual Fields Cascaded Convolutional Neural Network for Breast Cancer Detection

    This paper proposes a novel multiple visual fields cascaded convolutional neural network MVF-CasCNN to detect breast cancer metastases in the gigapixel whole slide image WSI. Here visual field is the total area o...

    Haomiao Ni, Hong Liu, Zichao Guo in PRICAI 2018: Trends in Artificial Intellig… (2018)

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    Chapter and Conference Paper

    Related HOG Features for Human Detection Using Cascaded Adaboost and SVM Classifiers

    Robust and fast human detection in static image is very important for real applications. Although different feature descriptors have been proposed for human detection, for HOG descriptor, how to select and com...

    Hong Liu, Tao Xu, **angdong Wang, Yueliang Qian in Advances in Multimedia Modeling (2013)

  4. Chapter and Conference Paper

    Real-Time Plane Segmentation and Obstacle Detection of 3D Point Clouds for Indoor Scenes

    Scene analysis is an important issue in computer vision and extracting structural information is one of the fundamental techniques. Taking advantage of depth camera, we propose a novel fast plane segmentation ...

    Zhe Wang, Hong Liu, Yueliang Qian, Tao Xu in Computer Vision – ECCV 2012. Workshops and… (2012)

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    Chapter and Conference Paper

    Motion and Gray Based Automatic Road Segment Method MGARS in Urban Traffic Surveillance

    This paper presents a novel method MGARS to automatic road area segmentation based on motion and gray feature for the purpose of urban traffic surveillance. The proposed method can locate road region by region...

    Hong Liu, **tao Li, Yueliang Qian in Advances in Machine Vision, Image Processi… (2006)