"Training"

HEVC VMAF-oriented Perceptual Rate Distortion Optimization using CNN
Video coding standards like HEVC and VVC have achieved significant coding performance. However, the RDO module in coding framework …
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A Hybrid Model for Natural Face De-Identiation with Adjustable Privacy
As more and more personal photos are shared and tagged in social media, security and privacy protection are becoming an unprecedentedly …
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TSGAN: A Two-Stream Generative Adversarial Network for Bit-Depth Expansion
The rapid development of display devices and the continuous improvement of visual quality requirements put urgent demands on high …
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Identifying and Pruning Redundant Structures for Deep Neural Networks
Deep convolutional neural networks have achieved considerable success in the field of computer vision. However, it is difficult to …
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Advanced CNN Based Motion Compensation Fractional Interpolation
Fractional-sample precision motion compensation has been widely adopted in a series of video coding standards to further improve …
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Machine learning based VP9-to-HEVC video transcoding
As more and more coding standards are developed for videos with higher resolution and higher frame rates, the conversion between them …
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CNN Based Post-Processing to Improve HEVC
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A Parallel-Fusion RNN-LSTM Architecture for Image Caption Generation
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