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Deep Learning

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DANet: Dual Attention Network for Scene Segmentatio

  • Post author:Li-Wen Wang
  • Post published:9th February 2021
  • Post category:Group Meeting

Abstract The paper introduces a position attention module and a channel attention module to capture global dependencies in the spatial and channel dimensions respectively. The proposed DANet adaptively integrates local…

Continue Reading DANet: Dual Attention Network for Scene Segmentatio

Deep Learning 2: Basic Theory of Convolutional Neural Network

  • Post author:Li-Wen Wang
  • Post published:7th March 2019
  • Post category:Guided Study

Objectives Deep learning is a recently hot machine learning method. The deep learning architectures are formed by the composition of several nonlinear transformations with the goal to yield more abstract…

Continue Reading Deep Learning 2: Basic Theory of Convolutional Neural Network

Deep Learning 1: Basic Theory of Neural Network

  • Post author:Li-Wen Wang
  • Post published:7th March 2019
  • Post category:Guided Study

Objectives Deep learning is a recently hot machine learning method. The deep learning architectures are formed by the composition of several nonlinear transformations with the goal to yield more abstract…

Continue Reading Deep Learning 1: Basic Theory of Neural Network

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@inproceedings{DRN2020,
title={Deep Relighting Networks for Image Light Source Manipulation},
author={Wang, Li-Wen and Siu, Wan-Chi and Liu, Zhi-Song and Li, Chu-Tak and Lun, Daniel P.K.},
booktitle={Proceedings of the European Conference on Computer Vision Workshops (ECCVW)},
year={2020}
}

@ARTICLE{DLN2020,
author={Li-Wen Wang and Zhi-Song Liu and Wan-Chi Siu and Daniel P.K. Lun},
journal={IEEE Transactions on Image Processing},
title={Lightening Network for Low-light Image Enhancement},
year={2020},
volume={29},
pages={7984-7996},
doi={10.1109/TIP.2020.3008396},
}