Search Results for author: Wang Shen

Found 7 papers, 4 papers with code

H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System

no code implementations4 Aug 2022 Ming Cheng, Yiling Xu, Wang Shen, M. Salman Asif, Chao Ma, Jun Sun, Zhan Ma

We utilize a disparity network to transfer spatiotemporal information across views even in large disparity scenes, based on which, we propose disparity-guided flow-based warping for LSR-HFR view and complementary warping for HSR-LFR view.

Super-Resolution Vocal Bursts Intensity Prediction

Enhanced Deep Animation Video Interpolation

2 code implementations25 Jun 2022 Wang Shen, Cheng Ming, Wenbo Bao, Guangtao Zhai, Li Chen, Zhiyong Gao

With AutoFI and SktFI, the interpolated animation frames show high perceptual quality.

Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution

no code implementations5 Nov 2021 Zhenxing Dong, Hong Cao, Wang Shen, Yu Gan, Yuye Ling, Guangtao Zhai, Yikai Su

In particular, we propose to use a convolutional neural network (CNN) to learn the cutoff frequency of real-world degradation process.

Image Super-Resolution

Dual Attention Guided Gaze Target Detection in the Wild

1 code implementation CVPR 2021 Yi Fang, Jiapeng Tang, Wang Shen, Wei Shen, Xiao Gu, Li Song, Guangtao Zhai

In the third stage, we use the generated dual attention as guidance to perform two sub-tasks: (1) identifying whether the gaze target is inside or out of the image; (2) locating the target if inside.

Prediction-assistant Frame Super-Resolution for Video Streaming

no code implementations17 Mar 2021 Wang Shen, Wenbo Bao, Guangtao Zhai, Charlie L Wang, Jerry W Hu, Zhiyong Gao

An effective approach is to transmit frames in lower-quality under poor bandwidth conditions, such as using scalable video coding.

Super-Resolution Video Enhancement +1

Improving Biomedical Named Entity Recognition with Syntactic Information

1 code implementation BMC Bioinformatics 2020 Yuanhe Tian, Wang Shen, Yan Song, Fei Xia, Min He, Kenli Li

The experimental results on six English benchmark datasets demonstrate that auto-processed syntactic information can be a useful resource for BioNER and our method with KVMN can appropriately leverage such information to improve model performance.

named-entity-recognition Named Entity Recognition +2

Blurry Video Frame Interpolation

1 code implementation CVPR 2020 Wang Shen, Wenbo Bao, Guangtao Zhai, Li Chen, Xiongkuo Min, Zhiyong Gao

Existing works reduce motion blur and up-convert frame rate through two separate ways, including frame deblurring and frame interpolation.

Deblurring Video Enhancement +1

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