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  1. Article

    Open Access

    Learning to Caricature via Semantic Shape Transform

    Caricature is an artistic drawing created to abstract or exaggerate facial features of a person. Rendering visually pleasing caricatures is a difficult task that requires professional skills, and thus it is of...

    Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai in International Journal of Computer Vision (2021)

  2. Chapter and Conference Paper

    Learning to Blend Photos

    Photo blending is a common technique to create aesthetically pleasing artworks by combining multiple photos. However, the process of photo blending is usually time-consuming, and care must be taken in the proc...

    Wei-Chih Hung, Jianming Zhang, **aohui Shen, Zhe Lin in Computer Vision – ECCV 2018 (2018)

  3. Chapter and Conference Paper

    Unsupervised Visual Representation Learning by Graph-Based Consistent Constraints

    Learning rich visual representations often require training on datasets of millions of manually annotated examples. This substantially limits the scalability of learning effective representations as labeled da...

    Dong Li, Wei-Chih Hung, Jia-Bin Huang, Sheng** Wang in Computer Vision – ECCV 2016 (2016)

  4. No Access

    Article

    Gaze direction estimation using support vector machine with active appearance model

    In recent years, research on human-computer interaction is becoming popular, most of which uses body movements, gestures or eye gaze direction. Until now, gazing estimation is still an active research domain. ...

    Yi-Leh Wu, Chun-Tsai Yeh, Wei-Chih Hung in Multimedia Tools and Applications (2014)

  5. No Access

    Chapter and Conference Paper

    Adaptive Affinity Propagation Clustering in MapReduce Environment

    The Affinity Propagation (AP) is a clustering algorithm based on the concept of “message passing” between data points. Unlike most clustering algorithms such as k-means, the AP does not require the number of c...

    Wei-Chih Hung, Yuan-Cheng Liu, Yi-Leh Wu in Technologies and Applications of Artificia… (2014)

  6. No Access

    Chapter and Conference Paper

    A Study of Real-Time Hand Gesture Recognition Using SIFT on Binary Images

    We present a novel way to use the Scale Invariance Feature Transform (SIFT) on binary images. As far as we know, we proposed employ SIFT on binary images for hand gesture recognition and provide more accurate ...

    Wei-Syun Lin, Yi-Leh Wu, Wei-Chih Hung in Advances in Intelligent Systems and Applic… (2013)