2010 - Fellow of the American Association for the Advancement of Science (AAAS)
1996 - SPIE Fellow
C.-C. Jay Kuo spends much of his time researching Artificial intelligence, Computer vision, Algorithm, Pattern recognition and Speech recognition. Artificial intelligence is frequently linked to Video quality in his study. C.-C. Jay Kuo interconnects Coding, Orthographic projection and Surface in the investigation of issues within Computer vision.
The Algorithm study which covers MNIST database that intersects with Subspace topology and Backpropagation. His Pattern recognition study deals with Boundary intersecting with Inpainting. His work in Speech recognition addresses subjects such as Audio signal, which are connected to disciplines such as Audio mining.
His primary scientific interests are in Artificial intelligence, Computer vision, Algorithm, Pattern recognition and Computer network. The study of Artificial intelligence is intertwined with the study of Machine learning in a number of ways. His Image processing, Motion estimation, Motion compensation, Block-matching algorithm and Image compression investigations are all subjects of Computer vision research.
His Algorithm research is multidisciplinary, relying on both Coding, Wavelet, Theoretical computer science and Distortion. His studies deal with areas such as Image, Feature and Cluster analysis as well as Pattern recognition. The Computer network study combines topics in areas such as Wireless and Real-time computing.
C.-C. Jay Kuo focuses on Artificial intelligence, Pattern recognition, Computer vision, Convolutional neural network and Machine learning. His is involved in several facets of Artificial intelligence study, as is seen by his studies on Segmentation, Feature extraction, Image, Subspace topology and Deep learning. In his study, which falls under the umbrella issue of Subspace topology, Coding is strongly linked to Algorithm.
His studies in Pattern recognition integrate themes in fields like Visualization and Feature. His work deals with themes such as Codec, Distortion and Video quality, which intersect with Computer vision. C.-C. Jay Kuo has researched Convolutional neural network in several fields, including Artificial neural network, Backpropagation, MNIST database, Cluster analysis and Robustness.
C.-C. Jay Kuo mostly deals with Artificial intelligence, Pattern recognition, Computer vision, Convolutional neural network and Segmentation. His research on Artificial intelligence frequently links to adjacent areas such as Machine learning. In his research on the topic of Pattern recognition, Focus and Process is strongly related with Boundary.
His Computer vision study integrates concerns from other disciplines, such as Codec, Coding, Video quality and Masking. His Convolutional neural network research is multidisciplinary, incorporating elements of Backpropagation, MNIST database, Benchmark, Algorithm and Robustness. His Segmentation course of study focuses on Pascal and Incremental learning and Contextual image classification.
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Perceptual visual quality metrics: A survey
Weisi Lin;C. C. Jay Kuo.
Journal of Visual Communication and Image Representation (2011)
Image database TID2013
Nikolay Ponomarenko;Lina Jin;Oleg Ieremeiev;Vladimir Lukin.
Signal Processing-image Communication (2015)
Audio content analysis for online audiovisual data segmentation and classification
T. Zhang;C.-C. Jay Kuo.
IEEE Transactions on Speech and Audio Processing (2001)
A new initialization technique for generalized Lloyd iteration
I. Katsavounidis;C.-C. Jay Kuo;Zhen Zhang.
IEEE Signal Processing Letters (1994)
Color image database TID2013: Peculiarities and preliminary results
Nikolay Ponomarenko;Oleg Ieremeiev;Vladimir Lukin;Karen Egiazarian.
european workshop on visual information processing (2013)
Technologies for 3D mesh compression: A survey
Jingliang Peng;Chang-Su Kim;C. C. Jay Kuo.
Journal of Visual Communication and Image Representation (2005)
Wavelet-based digital image watermarking
Houng-Jyh Mike Wang;Po-Chyi Su;C.-C. Jay Kuo.
Optics Express (1998)
Review of Postprocessing Techniques for Compression Artifact Removal
Mei-Yin Shen;C.-C.Jay Kuo.
Journal of Visual Communication and Image Representation (1998)
Rule-based video classification system for basketball video indexing
Wensheng Zhou;Asha Vellaikal;C. C. Jay Kuo.
acm multimedia (2000)
Geometry-guided progressive lossless 3D mesh coding with octree (OT) decomposition
Jingliang Peng;C.-C. Jay Kuo.
international conference on computer graphics and interactive techniques (2005)
Profile was last updated on December 6th, 2021.
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