INSTITUTIONAL DIGITAL REPOSITORY

Browsing Year-2019 by Subject "CNN"

Browsing Year-2019 by Subject "CNN"

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  • Cardinal color fusion network for single image haze removal 
    Dudhane, A.; Murala, S. (2021-08-25)
    Haze during bad weather degrades visibility of the scene drastically. Degradation of the scene visibility varies concerning the transmission map (TrMap) of the scene. Estimation of accurate TrMap is a key step to reconstruct ...
  • Cycle face aging generative adversarial networks 
    Thengane, V.G.; Gawande, M.B.; Dudhane, A.A.; Gonde, A.B. (2019-08-24)
    The facial features of human changes with age. It is important to model the human face for cross-age verification and recognition. In this paper, we introduce a Cycle Face Aging Generative Adversarial Network (CFA-GANs) ...
  • MsEDNet: Multi-Scale deep saliency learning for moving object detection 
    Patil, P. W.; Murala, S.; Dhall, A.; Chaudhary, S. (2021-08-27)
    Moving object detection (foreground and background) is an important problem in computer vision. Most of the works in this problem are based on background subtraction. However, these approaches are not able to handle ...
  • MSFGNet: a novel compact end-to-end deep network for moving object detection 
    Patil, P.W.; Murala, S. (2019-11-25)
    Moving object detection (MOD) in videos is a challenging task. Estimation of accurate background is the key to extracting the foreground from video frames. In this paper, we have proposed a novel compact end-to-end ...
  • TSNet: deep network for human action recognition in hazy videos 
    Chaudhar, S.; Murala, S. (2021-08-27)
    The all-weather intelligent surveillance system is the prime challenge for computer vision researchers. The surveillance is mostly done to analyze the human activity in a particular region. Several extreme weather ...

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