His primary areas of study are Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Compressed sensing. His study in Wavelet, Transform coding, Image restoration, JPEG and Discrete cosine transform is carried out as part of his studies in Artificial intelligence. His works in Pixel, Data compression, Image compression, Motion compensation and Multiview Video Coding are all subjects of inquiry into Computer vision.
His research in Pattern recognition tackles topics such as Speech recognition which are related to areas like Natural language. His work in the fields of Coding tree unit overlaps with other areas such as Distortion. The concepts of his Compressed sensing study are interwoven with issues in Computational complexity theory, Optimization problem, Iterative reconstruction and Minification.
Debin Zhao mainly focuses on Artificial intelligence, Computer vision, Algorithm, Pattern recognition and Motion compensation. His work on Decoding methods expands to the thematically related Artificial intelligence. He works mostly in the field of Computer vision, limiting it down to concerns involving Interpolation and, occasionally, Image scaling.
As a part of the same scientific study, he usually deals with the Algorithm, concentrating on Discrete cosine transform and frequently concerns with Quantization. His Pattern recognition research incorporates themes from Facial recognition system, Iterative reconstruction and Feature. The Motion compensation study combines topics in areas such as Motion estimation, Inter frame and Block-matching algorithm.
His primary areas of study are Artificial intelligence, Pattern recognition, Computer vision, Algorithm and Convolutional neural network. His work in Image, Deep learning, Iterative reconstruction, Image quality and Noise reduction are all subfields of Artificial intelligence research. His Pattern recognition study incorporates themes from Pixel, Entropy and Feature.
Computer vision and Convolution are commonly linked in his work. His Algorithm research integrates issues from Smoothing and Template matching. Debin Zhao combines subjects such as Decoding methods, Quantization, Quantization and Discrete cosine transform with his study of JPEG.
His primary scientific interests are in Artificial intelligence, Pattern recognition, Computer vision, Algorithm and Image. His work on Artificial intelligence deals in particular with Convolutional neural network, Deep learning, Transform coding, JPEG and Artificial neural network. His Pattern recognition study frequently links to related topics such as Video tracking.
As part of one scientific family, Debin Zhao deals mainly with the area of Computer vision, narrowing it down to issues related to the Convolution, and often Single image, Superresolution, Kernel and Signal reconstruction. The various areas that he examines in his Algorithm study include Laplacian matrix and Thresholding. His Image research focuses on subjects like Iterative reconstruction, which are linked to Compressed sensing.
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The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations
Wen Gao;Bo Cao;Shiguang Shan;Xilin Chen.
systems man and cybernetics (2008)
Group-based sparse representation for image restoration.
Jian Zhang;Debin Zhao;Wen Gao.
IEEE Transactions on Image Processing (2014)
Illumination normalization for robust face recognition against varying lighting conditions
Shiguang Shan;Wen Gao;Bo Cao;Debin Zhao.
international soi conference (2003)
Fast and robust text detection in images and video frames
Qixiang Ye;Qingming Huang;Wen Gao;Debin Zhao.
Image and Vision Computing (2005)
Fast mode decision algorithm for intra prediction in HEVC
Liang Zhao;Li Zhang;Siwei Ma;Debin Zhao.
visual communications and image processing (2011)
Learning Convolutional Networks for Content-Weighted Image Compression
Mu Li;Wangmeng Zuo;Shuhang Gu;Debin Zhao.
computer vision and pattern recognition (2018)
Joint Source-Channel Rate-Distortion Optimization for H.264 Video Coding Over Error-Prone Networks
Yuan Zhang;Wen Gao;Yan Lu;Qingming Huang.
IEEE Transactions on Multimedia (2007)
Large-Vocabulary Continuous Sign Language Recognition Based on Transition-Movement Models
Gaolin Fang;Wen Gao;Debin Zhao.
systems man and cybernetics (2007)
Image Restoration Using Joint Statistical Modeling in a Space-Transform Domain
Jian Zhang;Debin Zhao;Ruiqin Xiong;Siwei Ma.
IEEE Transactions on Circuits and Systems for Video Technology (2014)
Image Compressive Sensing Recovery via Collaborative Sparsity
Jian Zhang;Debin Zhao;Chen Zhao;Ruiqin Xiong.
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2012)
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