2023 - Research.com Computer Science in China Leader Award
2019 - Member of Academia Europaea
2017 - ACM Fellow For contributions to image, video and multimedia analysis, understanding, and retrieval
2016 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For pioneering contributions to multimedia analysis and retrieval
2012 - SPIE Fellow
2012 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to visual pattern analysis, recognition and retrieval
2009 - ACM Distinguished Member
2006 - ACM Senior Member
The Canadian Academy of Engineering
His primary areas of study are Artificial intelligence, Image retrieval, Information retrieval, Multimedia and Pattern recognition. Yong Rui combines subjects such as Machine learning and Computer vision with his study of Artificial intelligence. His work on Visual Word as part of his general Image retrieval study is frequently connected to Hypergraph, thereby bridging the divide between different branches of science.
His studies in Information retrieval integrate themes in fields like Ranking, Image processing and Relevance feedback. His Multimedia study combines topics in areas such as Uncompressed video, Video processing, Smacker video, Microphone array and Video compression picture types. His research in the fields of Nonlinear dimensionality reduction, Discriminative model and Feature extraction overlaps with other disciplines such as Graph theory.
His primary areas of investigation include Artificial intelligence, Multimedia, Computer vision, Information retrieval and Pattern recognition. In his study, TRECVID and Data mining is strongly linked to Machine learning, which falls under the umbrella field of Artificial intelligence. His research in Multimedia intersects with topics in Session, World Wide Web, Table of contents, Video browsing and Automatic summarization.
His research on Information retrieval often connects related areas such as Ranking. His Pattern recognition research is multidisciplinary, incorporating elements of Contextual image classification and Matching. Image retrieval and Feature are frequently intertwined in his study.
Artificial intelligence, Computer vision, Information retrieval, Convolutional neural network and Pattern recognition are his primary areas of study. His research combines Machine learning and Artificial intelligence. His research integrates issues of Layer and Background noise in his study of Computer vision.
His work on Automatic summarization and Collaborative filtering as part of general Information retrieval research is frequently linked to Scalability, bridging the gap between disciplines. His Convolutional neural network research integrates issues from Object, Representation, Margin and Set. As part of the same scientific family, Yong Rui usually focuses on Deep learning, concentrating on Multimedia and intersecting with Graphics and Artificial neural network.
Yong Rui mostly deals with Artificial intelligence, Information retrieval, Pattern recognition, Computer vision and Electronic mail. As a member of one scientific family, Yong Rui mostly works in the field of Artificial intelligence, focusing on Machine learning and, on occasion, Task. His Information retrieval research is multidisciplinary, incorporating perspectives in Metadata and Preference learning.
Yong Rui works in the field of Pattern recognition, namely Feature extraction. The Feature extraction study combines topics in areas such as Modality, Feature, Autoencoder and Representation. The concepts of his Video tracking study are interwoven with issues in Image segmentation and Video processing.
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.
Relevance feedback: a power tool for interactive content-based image retrieval
Yong Rui;T.S. Huang;M. Ortega;S. Mehrotra.
IEEE Transactions on Circuits and Systems for Video Technology (1998)
Content-based image retrieval with relevance feedback in MARS
Y. Rui;T.S. Huang;S. Mehrotra.
international conference on image processing (1997)
Adaptive key frame extraction using unsupervised clustering
Yueting Zhuang;Yong Rui;T.S. Huang;S. Mehrotra.
international conference on image processing (1998)
MSR-VTT: A Large Video Description Dataset for Bridging Video and Language
Jun Xu;Tao Mei;Ting Yao;Yong Rui.
computer vision and pattern recognition (2016)
Automatically extracting highlights for TV Baseball programs
Yong Rui;Anoop Gupta;Alex Acero.
acm multimedia (2000)
Correlative multi-label video annotation
Guo-Jun Qi;Xian-Sheng Hua;Yong Rui;Jinhui Tang.
acm multimedia (2007)
GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation
Defu Lian;Cong Zhao;Xing Xie;Guangzhong Sun.
knowledge discovery and data mining (2014)
system and method for distributed meetings
Ross Cutler;Yong Rui;Anoop Gupta.
Optimizing learning in image retrieval
Y. Rui;T. Huang.
computer vision and pattern recognition (2000)
Jointly Modeling Embedding and Translation to Bridge Video and Language
Yingwei Pan;Tao Mei;Ting Yao;Houqiang Li.
computer vision and pattern recognition (2016)
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