2023 - Research.com Computer Science in China Leader Award
His Artificial intelligence study frequently involves adjacent topics like Pattern recognition (psychology). Wangmeng Zuo regularly links together related areas like Artificial intelligence in his Pattern recognition (psychology) studies. Wangmeng Zuo performs integrative study on Mathematical optimization and Algorithm in his works. Wangmeng Zuo integrates Algorithm with Mathematical optimization in his study. He performs integrative study on Coefficient matrix and Eigenvalues and eigenvectors. He combines Eigenvalues and eigenvectors and Quantum mechanics in his research. His Quantum mechanics study frequently intersects with other fields, such as Coefficient matrix. Wangmeng Zuo frequently studies issues relating to Composite material and Matrix (chemical analysis). His Composite material study frequently links to other fields, such as Matrix (chemical analysis).
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Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Kai Zhang;Wangmeng Zuo;Yunjin Chen;Deyu Meng.
IEEE Transactions on Image Processing (2017)
Weighted Nuclear Norm Minimization with Application to Image Denoising
Shuhang Gu;Lei Zhang;Wangmeng Zuo;Xiangchu Feng.
computer vision and pattern recognition (2014)
FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising
Kai Zhang;Wangmeng Zuo;Lei Zhang.
IEEE Transactions on Image Processing (2018)
Learning Deep CNN Denoiser Prior for Image Restoration
Kai Zhang;Wangmeng Zuo;Shuhang Gu;Lei Zhang.
computer vision and pattern recognition (2017)
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang.
computer vision and pattern recognition (2017)
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Qilong Wang;Banggu Wu;Pengfei Zhu;Peihua Li.
computer vision and pattern recognition (2020)
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
Kai Zhang;Wangmeng Zuo;Lei Zhang.
computer vision and pattern recognition (2018)
Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision
Shuhang Gu;Qi Xie;Deyu Meng;Wangmeng Zuo.
International Journal of Computer Vision (2017)
Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification
Ruimao Zhang;Liang Lin;Rui Zhang;Wangmeng Zuo.
IEEE Transactions on Image Processing (2015)
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking
Feng Li;Cheng Tian;Wangmeng Zuo;Lei Zhang.
computer vision and pattern recognition (2018)
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