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Recent Submissions

  • On the Reduction of Computational Complexity of Deep Convolutional Neural Networks 

    Maji, Partha; Mullins, Robert David (MDPI AG, 2018-04)
    Deep convolutional neural networks (ConvNets), which are at the heart of many new emerging applications, achieve remarkable performance in audio and visual recognition tasks. Unfortunately, achieving accuracy often requires ...
  • Dataset and metrics for predicting local visible differences 

    Wolski, Krzysztof; Giunchi, Daniele; Ye, Nanyang; Didyk, Piotr; Myszkowski, Karol; Mantiuk, Radosław; Seidel, Hans-Peter et al.
    A large number of imaging and computer graphics applications require localized information on the visibility of image distortions. Existing image quality metrics are not suitable for this task as they provide a single ...
  • High Dynamic Range Imaging Technology. 

    Artusi, Alessandro; Richter, Thomas; Ebrahimi, Touradj; Mantiuk, Rafal Konrad (IEEE, 2017)
    Abstract: In this lecture note, we describe high dynamic range (HDR) imaging systems. Such systems are able to represent luminances of much larger brightness and, typically, a larger range of colors than conventional ...
  • Langevin Dynamics with Continuous Tempering for High-dimensional Non-convex Optimization. 

    Ye, Nanyang; Zhu, Zhanxing; Mantiuk, Rafal Konrad (2017)
    Minimizing non-convex and high-dimensional objective functions is challenging, especially when training modern deep neural networks. In this paper, a novel approach is proposed which divides the training process into two ...

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