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    Chapter and Conference Paper

    A 3D Reconstruction Method for Gastroscopic Minimally Invasive Surgery

    Minimally Invasive Surgery (MIS) has offered great benefits to the patients for reducing patient trauma and recovery time. However, traditional MIS still has some challenges due to the loss of 3D vision and th...

    Dong Yang, Yinhong Zhao, Jiquan Liu in Advances in Image and Graphics Technologies (2015)

  2. Chapter and Conference Paper

    Deep Variational Metric Learning

    Deep metric learning has been extensively explored recently, which trains a deep neural network to produce discriminative embedding features. Most existing methods usually enforce the model to be indiscriminat...

    Xudong Lin, Yueqi Duan, Qiyuan Dong, Jiwen Lu, Jie Zhou in Computer Vision – ECCV 2018 (2018)

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    Chapter and Conference Paper

    VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results

    The Vision Meets Drone Object Detection in Image Challenge (VisDrone-DET 2020) is the third annual object detector benchmarking activity. Compared with the previous VisDrone-DET 2018 and VisDrone-DET 2019 chal...

    Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan in Computer Vision – ECCV 2020 Workshops (2020)

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    Chapter and Conference Paper

    VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results

    The Vision Meets Drone (VisDrone2020) Multiple Object Tracking (MOT) is the third annual UAV MOT tracking evaluation activity organized by the VisDrone team, in conjunction with European Conference on Computer...

    Heng Fan, Dawei Du, Longyin Wen, Pengfei Zhu in Computer Vision – ECCV 2020 Workshops (2020)

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    Chapter and Conference Paper

    VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

    Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algori...

    Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan in Computer Vision – ECCV 2020 Workshops (2020)