Rui Chen

Orcid: 0000-0002-8003-4643

Affiliations:
  • Tianjin University, School of Microelectronics, China
  • Peking University, National Engineering Laboratory for Video Technology, Beijing, China (former)
  • Tsinghua University, Beijing, China (PhD 2010)


According to our database1, Rui Chen authored at least 29 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

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Bibliography

2024
High-order relational generative adversarial network for video super-resolution.
Pattern Recognit., February, 2024

2023
A Multi-Level Consistency Network for High-Fidelity Virtual Try-On.
ACM Trans. Multim. Comput. Commun. Appl., 2023

2022
Learning Dynamic Generative Attention for Single Image Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol., 2022

Multi-attention augmented network for single image super-resolution.
Pattern Recognit., 2022

BASNet: A Boundary-Aware Siamese Network for Accurate Remote-Sensing Change Detection.
IEEE Geosci. Remote. Sens. Lett., 2022

1000x Faster Camera and Machine Vision with Ordinary Devices.
CoRR, 2022

2021
S2Looking: A Satellite Side-Looking Dataset for Building Change Detection.
Remote. Sens., 2021

Point cloud denoising using non-local collaborative projections.
Pattern Recognit., 2021

S2Looking: A Satellite Side-Looking Dataset for Building Change Detection.
CoRR, 2021

MM-Flow: Multi-modal Flow Network for Point Cloud Completion.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

CG-GAN: Class-Attribute Guided Generative Adversarial Network for Old Photo Restoration.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
Single image super-resolution using deep hierarchical attention network.
Proceedings of the ICMIP 2020: 5th International Conference on Multimedia and Image Processing, 2020

2019
Robust Noise Suppression Technique for a LADAR System via Eigenvalue-Based Adaptive Filtering.
Sensors, 2019

Robust estimation for image noise based on eigenvalue distributions of large sample covariance matrices.
J. Vis. Commun. Image Represent., 2019

2018
Learning a collaborative multiscale dictionary based on robust empirical mode decomposition.
Neurocomputing, 2018

Noise Level Estimation for Overcomplete Dictionary Learning Based on Tight Asymptotic Bounds.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

2017
Blind restoration for nonuniform aerial images using nonlocal Retinex model and shearlet-based higher-order regularization.
J. Electronic Imaging, 2017

Noise Level Estimation for Overcomplete Dictionary Learning Based on Tight Asymptotic Bounds.
CoRR, 2017

Bayer Demosaicking Using Optimized Mean Curvature over RGB channels.
CoRR, 2017

Content Adaptive Constraint Based Image Upsampling.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

Sparsity-Promoting Adaptive Coding with Robust Empirical Mode Decomposition for Image Restoration.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

Correlation preserving on graphs for image denoising.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Correlation Preserving Sparse Coding Over Multi-level Dictionaries for Image Denoising.
CoRR, 2016

Blind restoration for non-uniform aerial images using non-local Retinex model and shearlet-based higher-order regularization.
CoRR, 2016

A structure-preserving image restoration method with high-level ensemble constraints.
Proceedings of the 2016 Visual Communications and Image Processing, 2016

Structure preserving single image super-resolution.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Robust image/video super-resolution display.
Proceedings of the 21st ACM Symposium on Virtual Reality Software and Technology, 2015

A HVS-guided approach for real-time image interpolation.
Proceedings of the 2015 Visual Communications and Image Processing, 2015

A fast super-resolution method based on sparsity properties.
Proceedings of the 2015 Visual Communications and Image Processing, 2015


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