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    Chapter and Conference Paper

    Multi-media e-Learning Platform Using Green Design with Near-Real Approach

    The most of e-Learning and video conference platform receives the limitation of population and the file format, the inconvenience to the users, and requirement of specific software. This paper proposes an effe...

    Yuan-Hsun Liao, Chia-Ming Liu, Bo-Yen Wang in Learning by Playing. Game-based Education … (2009)

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    Chapter and Conference Paper

    The Experience of Adopting Game-Based Learning in Library Instruction

    The research is based on the course of library instruction and also a pilot study before adopting game-based learning into real library instruction course. The difficulty of the research is how we can make the...

    Sheng-Hui Hsu, Shu-Chen Cheng in Learning by Playing. Game-based Education … (2009)

  3. Chapter and Conference Paper

    An Improved Adaptive Smoothing Method

    An improvement of the Chen’s method has been provided through the calculation of a more accurate H map. The H map is the pixel’s contextual inhomogeneity value reflecting its proximity position with respect to...

    **n Hu, Hui Peng, Joseph Kesker, **ang Cai in Image Analysis and Processing – ICIAP 2009 (2009)

  4. 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)

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    Article

    Trapezoid-structured LSTM with segregated gates and bridge joints for video frame inpainting

    This work considers the video frame inpainting problem, where several former and latter frames are given, and the goal is to predict the middle frames. The state-of-the-art solution has applied bidirectional l...

    Ting-Hui Chiang, Yun-Tang Lin, Jaden Chao-Ho Lin, Yu-Chee Tseng in The Visual Computer (2024)

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    Article

    HAPiCLR: heuristic attention pixel-level contrastive loss representation learning for self-supervised pretraining

    Recent self-supervised contrastive learning methods are powerful and efficient for robust representation learning, pulling semantic features from different crop** views of the same image while pushing other ...

    Van Nhiem Tran, Shen-Hsuan Liu, Chi-En Huang, Muhammad Saqlain Aslam in The Visual Computer (2024)