His primary areas of investigation include Artificial intelligence, Pattern recognition, Computer vision, Discriminative model and Image. The study of Artificial intelligence is intertwined with the study of Machine learning in a number of ways. His studies deal with areas such as Facial recognition system and Feature as well as Pattern recognition.
Wangmeng Zuo interconnects Mixture model and Affine transformation in the investigation of issues within Computer vision. He combines subjects such as Time complexity, Visualization and Residual with his study of Discriminative model. His Image study incorporates themes from Deep learning and Face.
Wangmeng Zuo spends much of his time researching Artificial intelligence, Pattern recognition, Computer vision, Convolutional neural network and Image. Artificial intelligence is frequently linked to Machine learning in his study. His Pattern recognition research incorporates themes from Facial recognition system, Noise reduction, Image restoration and Metric.
The various areas that he examines in his Computer vision study include Visualization and Robustness. His biological study spans a wide range of topics, including Artificial neural network, Object detection and Noise. His studies deal with areas such as Pixel and Face as well as Image.
His primary scientific interests are in Artificial intelligence, Pattern recognition, Image, Convolutional neural network and Computer vision. He incorporates Artificial intelligence and Block in his studies. His work in the fields of Pattern recognition, such as Feature extraction, intersects with other areas such as Component.
The Image study combines topics in areas such as Convolution and Benchmark. His Convolutional neural network study incorporates themes from Normalization, Pooling, Computer engineering, Object detection and Residual. In general Computer vision study, his work on Image warping, Segmentation, Structural similarity and Landmark often relates to the realm of Pipeline, thereby connecting several areas of interest.
Wangmeng Zuo mainly focuses on Artificial intelligence, Pattern recognition, Image, Convolutional neural network and Noise reduction. His Artificial intelligence research is multidisciplinary, relying on both Metric, Residual and Computer vision. In general Computer vision, his work in Structural similarity, Image segmentation, Image signal and Normalization is often linked to Pipeline linking many areas of study.
His Pattern recognition research incorporates themes from Convolution and Feature. His work in Image covers topics such as Benchmark which are related to areas like Divide and conquer algorithms and Sharpening. His research in Noise reduction intersects with topics in Noise and Noise.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
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)
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)
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)
FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising
Kai Zhang;Wangmeng Zuo;Lei Zhang.
IEEE Transactions on Image Processing (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)
An Online System of Multispectral Palmprint Verification
D. Zhang;Zhenhua Guo;Guangming Lu;Lei Zhang.
IEEE Transactions on Instrumentation and Measurement (2010)
Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification
Faqiang Wang;Wangmeng Zuo;Liang Lin;David Zhang.
computer vision and pattern recognition (2016)
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
Kai Zhang;Wangmeng Zuo;Lei Zhang.
computer vision and pattern recognition (2018)
Profile was last updated on December 6th, 2021.
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Chinese University of Hong Kong, Shenzhen
Hong Kong Polytechnic University
Harbin Institute of Technology
Sun Yat-sen University
Xi'an Jiaotong University
Harbin Institute of Technology
Tianjin University
University of California, Merced
Tianjin University
Chinese Academy of Sciences
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