Skip to main content

and
  1. Chapter and Conference Paper

    Multi-context Deep Convolutional Features and Exemplar-SVMs for Scene Parsing

    Scene parsing is a challenging task in computer vision field. The work of scene parsing is labeling every pixel in an image with its semantic category to which it belongs. In this paper, we solve this problem ...

    **aofei Cui, Hanbing Qu, Songtao Wang, Liang Dong, Ziliang Qi in Computer Vision (2017)

  2. Chapter and Conference Paper

    High Capacity Reversible Data Hiding with Contrast Enhancement

    Reversible data hiding aims at recovering exactly the cover image from the marked image after extracting the hidden data. Reversible data hiding with contrast enhancement proposed by Wu et al. achieved a good eff...

    Yonggwon Ri, **g Dong, Wei Wang, Tieniu Tan in Computer Vision (2017)

  3. Chapter and Conference Paper

    Quality Assessment of Palm Vein Image Using Natural Scene Statistics

    Image quality has a great influence on the performance of non-contact biometric identification system. In order to acquire palm vein image with high-quality, an image quality assessment algorithm for palm vein...

    Chunyi Wang, **ongwei Sun, Wengong Dong, Zede Zhu, Shouguo Zheng in Computer Vision (2017)

  4. Chapter and Conference Paper

    Image Forgery Detection Based on Semantic Image Understanding

    Image forensics has been focusing on low-level visual features, paying little attention to high-level semantic information of the image. In this work, we propose the framework for image forgery detection based...

    Kui Ye, **g Dong, Wei Wang, **dong Xu, Tieniu Tan in Computer Vision (2017)