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Chunwei Tian
Researcher at Harbin Institute of Technology
Publications - 50
Citations - 2140
Chunwei Tian is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Computer science & Convolutional neural network. The author has an hindex of 14, co-authored 32 publications receiving 806 citations. Previous affiliations of Chunwei Tian include Northwestern Polytechnical University & Harbin Institute of Technology Shenzhen Graduate School.
Papers
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Deep learning on image denoising: An overview.
TL;DR: A comparative study of deep techniques in image denoising by classifying the deep convolutional neural networks for additive white noisy images, the deep CNNs for real noisy images; the deepCNNs for blind Denoising and the deep network for hybrid noisy images.
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Attention-guided CNN for image denoising.
TL;DR: An attention-guided denoising convolutional neural network (ADNet), mainly including a sparse block (SB), a feature enhancement block (FEB), an attention block (AB) and a reconstruction block (RB) for image Denoising.
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Image denoising using deep CNN with batch renormalization.
TL;DR: The design of a novel network called a batch-renormalization denoising network (BRDNet) is reported, which combines two networks to increase the width of the network, and thus obtain more features.
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Coarse-to-Fine CNN for Image Super-Resolution
TL;DR: A coarse-to-fine SR CNN (CFSRCNN) to recover a high-resolution (HR) image from its low-resolution version, and demonstrates the high efficiency and good performance of the model on benchmark datasets compared with state-of-the-art SR models.
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Low-rank representation with adaptive graph regularization
TL;DR: Experimental results show that the proposed graph learning method can significantly improve the clustering performance and a novel rank constraint is further introduced to the model, which encourages the learned graph to have very clear clustering structures.