2016 - IEEE Fellow For contributions to multimedia content analysis and image search
2015 - ACM Distinguished Member
2009 - ACM Senior Member
Artificial intelligence, Information retrieval, Machine learning, Relevance and Computer vision are his primary areas of study. His Artificial intelligence study incorporates themes from Data mining and Pattern recognition. His Information retrieval study combines topics in areas such as Feature, Annotation and Image retrieval, Automatic image annotation, Visual Word.
His work on Support vector machine as part of general Machine learning research is often related to TRECVID, thus linking different fields of science. The concepts of his Relevance study are interwoven with issues in Multimedia and The Internet. His work focuses on many connections between Computer vision and other disciplines, such as Computer graphics, that overlap with his field of interest in Multiview Video Coding, Motion compensation and Video post-processing.
His primary areas of study are Artificial intelligence, Information retrieval, Machine learning, Pattern recognition and Multimedia. His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Computer vision. Annotation is closely connected to Automatic image annotation in his research, which is encompassed under the umbrella topic of Information retrieval.
His Machine learning research integrates issues from Classifier, Training set, Data mining and Video annotation. The study incorporates disciplines such as Contextual image classification, Kernel and Cluster analysis in addition to Pattern recognition. His Multimedia research is multidisciplinary, incorporating perspectives in Video content analysis, World Wide Web, The Internet, Video processing and Mobile computing.
Xian-Sheng Hua focuses on Artificial intelligence, Information retrieval, Machine learning, World Wide Web and Pattern recognition. Xian-Sheng Hua combines topics linked to Computer vision with his work on Artificial intelligence. His study in the field of Relevance and Ranking is also linked to topics like TRECVID.
His work in the fields of Machine learning, such as Margin, overlaps with other areas such as Identity. While the research belongs to areas of World Wide Web, Xian-Sheng Hua spends his time largely on the problem of Variety, intersecting his research to questions surrounding Semantic search, Semantic gap, Data science and Visualization. His biological study spans a wide range of topics, including Space partitioning and Ternary search tree.
His primary scientific interests are in Artificial intelligence, Information retrieval, Pattern recognition, Semantics and Automatic summarization. In general Artificial intelligence study, his work on Language bias, Image and Question answering often relates to the realm of Baseline and Causal inference, thereby connecting several areas of interest. His Information retrieval research incorporates themes from Tag cloud and Data mining.
His Spanning tree research extends to the thematically linked field of Pattern recognition. He has researched Semantics in several fields, including Social media, Leverage and Upload. His Automatic summarization research incorporates elements of Video tracking, Video compression picture types, Multimedia, Data compression 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.
Online video recommendation based on multimodal fusion and relevance feedback
Bo Yang;Tao Mei;Xian-Sheng Hua;Linjun Yang.
conference on image and video retrieval (2007)
Two-Dimensional Active Learning for image classification
Guo-Jun Qi;Xian-Sheng Hua;Yong Rui;Jinhui Tang.
computer vision and pattern recognition (2008)
Automatic video recommendation
Tao Mei;Xian-Sheng Hua;Bo Yang;Linjun Yang.
Automatic detection and segmentation of music videos in an audio/video stream
Lie Lu;Yan-Feng Sun;Mingjing Li;Xian-Sheng Hua.
Image-based semantic distance
Xian-Sheng Hua;Lei Wu;Shipeng Li.
Real-time large scale near-duplicate web video retrieval
Lifeng Shang;Linjun Yang;Fei Wang;Kwok-Ping Chan.
acm multimedia (2010)
Contextual in-image advertising
Tao Mei;Xian-Sheng Hua;Shipeng Li.
acm multimedia (2008)
Optimizing multi-graph learning: towards a unified video annotation scheme
Meng Wang;Xian-Sheng Hua;Xun Yuan;Yan Song.
acm multimedia (2007)
Tag refinement by regularized LDA
Hao Xu;Jingdong Wang;Xian-Sheng Hua;Shipeng Li.
acm multimedia (2009)
Predicting occupation via human clothing and contexts
Zheng Song;Meng Wang;Xian-sheng Hua;Shuicheng Yan.
international conference on computer vision (2011)
Profile was last updated on December 6th, 2021.
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