Search Results for author: Liquan Shen

Found 9 papers, 5 papers with code

RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionar

1 code implementation17 Aug 2023 Mengyao Li, Liquan Shen, Peng Ye, Guorui Feng, Zheyin Wang

Subsequently, an extreme UWI compression network with reference to the feature dictionary (RFD-ECNet) is creatively proposed, which utilizes feature match and reference feature variant to significantly remove redundancy among UWIs.

Image Compression MORPH

UIERL: Internal-External Representation Learning Network for Underwater Image Enhancement

1 code implementation14 Jun 2023 Zhengyong Wang, Liquan Shen, Yihan Yu, Yuan Hui

With performing region-wise feature learning for regions with different quality separately, the network provides an effective guidance for global features and thus guides intra-image differentiated enhancement.

Representation Learning UIE

Multi-Modality Deep Network for JPEG Artifacts Reduction

no code implementations4 May 2023 Xuhao Jiang, Weimin Tan, Qing Lin, Chenxi Ma, Bo Yan, Liquan Shen

In recent years, many convolutional neural network-based models are designed for JPEG artifacts reduction, and have achieved notable progress.

Contrastive Learning Image Compression +1

Multi-Modality Deep Network for Extreme Learned Image Compression

no code implementations26 Apr 2023 Xuhao Jiang, Weimin Tan, Tian Tan, Bo Yan, Liquan Shen

Image-based single-modality compression learning approaches have demonstrated exceptionally powerful encoding and decoding capabilities in the past few years , but suffer from blur and severe semantics loss at extremely low bitrates.

Image Compression

RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionary

1 code implementation ICCV 2023 Mengyao Li, Liquan Shen, Peng Ye, Guorui Feng, Zheyin Wang

Subsequently, an extreme UWI compression network with reference to the feature dictionary (RFD-ECNet) is creatively proposed, which utilizes feature match and reference feature variant to significantly remove redundancy among UWIs.

Image Compression MORPH

Domain Adaptation for Underwater Image Enhancement

1 code implementation22 Aug 2021 Zhengyong Wang, Liquan Shen, Mei Yu, Kun Wang, Yufei Lin, Mai Xu

However, these methods ignore the significant domain gap between the synthetic and real data (i. e., interdomain gap), and thus the models trained on synthetic data often fail to generalize well to real underwater scenarios.

Domain Adaptation Image Enhancement

Single Underwater Image Enhancement Using an Analysis-Synthesis Network

no code implementations20 Aug 2021 Zhengyong Wang, Liquan Shen, Mei Yu, Yufei Lin, Qiuyu Zhu

The proposed framework includes an analysis network and a synthesis network, one for priors exploration and another for priors integration.

Image Enhancement Image Generation

Patch-Wise Spatial-Temporal Quality Enhancement for HEVC Compressed Video

1 code implementation journal 2021 Qing Ding, Liquan Shen, Liangwei Yu, Hao Yang, Mai Xu

To overcome these limitations, we propose a patch-wise spatial-temporal quality enhancement network which firstly extracts spatial and temporal features, then recalibrates and fuses the obtained spatial and temporal features.

Quantization Video Enhancement

Deep Optimization model for Screen Content Image Quality Assessment using Neural Networks

no code implementations2 Mar 2019 Xuhao Jiang, Liquan Shen, Guorui Feng, Liangwei Yu, Ping An

In this paper, we propose a novel quadratic optimized model based on the deep convolutional neural network (QODCNN) for full-reference and no-reference screen content image (SCI) quality assessment.

Image Quality Assessment L2 Regularization +1

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