Yuan Feng

Orcid: 0000-0003-2563-8724

Affiliations:
  • Zhejiang University of Technology, Institute of Computer Vision, Hangzhou, China
  • Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China


According to our database1, Yuan Feng authored at least 11 papers between 2016 and 2024.

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

Timeline

2016
2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Asymmetric Dual-Decoder U-Net for Joint Rain and Haze Removal.
ACM Trans. Multim. Comput. Commun. Appl., March, 2024

DFCNet +: Cross-modal dynamic feature contrast net for continuous sign language recognition.
Image Vis. Comput., 2024

Cross-Modality Consistency Mining For Continuous Sign Language Recognition with Text-Domain Equivalents.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
Gradient recovery based finite element methods for the two-dimensional quad-curl problem.
Appl. Math. Lett., December, 2023

2022
Hyperspectral Image Restoration via Subspace-Based Nonlocal Low-Rank Tensor Approximation.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
Regularizing Subspace Representation for Fusing Hyperspectral and Multispectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2019
$L_0$ Sparse Regularization-Based Image Blind Deblurring Approach for Solid Waste Image Restoration.
IEEE Trans. Ind. Electron., 2019

2018
An RGB-D-Based Cross-Field of View Pose Estimation System for a Free Flight Target in a Wind Tunnel.
Complex., 2018

2017
RGB-D Based Object Segmentation in Severe Color Degraded Environment.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

Statistical Degradation Analysis for Real-Time Tracking in Severely Degraded Videos.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016
Structured Degradation Model for Object Tracking in Non-uniform Degraded Videos.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016


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