2018 - ACM Fellow For contributions to multimedia content analysis and social multimedia informatics
2009 - IEEE Fellow For contributions to semantic image understanding and intelligent image processing
2008 - SPIE Fellow
His main research concerns Artificial intelligence, Computer vision, Pattern recognition, Machine learning and Image. His Artificial intelligence study frequently intersects with other fields, such as Natural language processing. Jiebo Luo has included themes like Benchmark and Closed captioning in his Natural language processing study.
His research integrates issues of Motion, Bayesian network, Feature and Visualization in his study of Pattern recognition. In the subject of general Machine learning, his work in Recurrent neural network, Support vector machine and Feature vector is often linked to Semantic computing, thereby combining diverse domains of study. His Image study combines topics from a wide range of disciplines, such as Metadata and Face detection.
His scientific interests lie mostly in Artificial intelligence, Computer vision, Pattern recognition, Social media and Machine learning. His work on Natural language processing expands to the thematically related Artificial intelligence. His work in Digital image, Image processing, Image segmentation, Segmentation and Object detection is related to Computer vision.
The Pattern recognition study combines topics in areas such as Context and Feature. His studies in Social media integrate themes in fields like Data science, Sentiment analysis, Scale and Internet privacy. His study in Multimedia extends to World Wide Web with its themes.
Artificial intelligence, Pattern recognition, Machine learning, Image and Social media are his primary areas of study. His studies deal with areas such as Computer vision and Natural language processing as well as Artificial intelligence. Jiebo Luo has researched Pattern recognition in several fields, including Matching and Recurrent neural network.
His Machine learning research integrates issues from Contextual image classification and Context. While the research belongs to areas of Image, Jiebo Luo spends his time largely on the problem of Theoretical computer science, intersecting his research to questions surrounding Representation. His Social media research includes elements of China, Social psychology and Public opinion, Politics.
The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Social media, Discriminative model and Image. The concepts of his Artificial intelligence study are interwoven with issues in Machine learning and Natural language processing. In the field of Pattern recognition, his study on Unsupervised learning overlaps with subjects such as Two-graph.
His biological study spans a wide range of topics, including Sentiment analysis and Topic model. His Discriminative model research incorporates elements of Subspace topology, Semantics, Image fusion and Re identification. Jiebo Luo interconnects Embedding and Translation in the investigation of issues within Image.
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.
Learning multi-label scene classification
Matthew R. Boutell;Jiebo Luo;Xipeng Shen;Christopher M. Brown.
Pattern Recognition (2004)
Recognizing realistic actions from videos “in the wild”
Jingen Liu;Jiebo Luo;Mubarak Shah.
computer vision and pattern recognition (2009)
Image Captioning with Semantic Attention
Quanzeng You;Hailin Jin;Zhaowen Wang;Chen Fang.
computer vision and pattern recognition (2016)
Visual event recognition in videos by learning from web data
Lixin Duan;Dong Xu;Ivor Wai-Hung Tsang;Jiebo Luo.
computer vision and pattern recognition (2010)
iCoseg: Interactive co-segmentation with intelligent scribble guidance
Dhruv Batra;Adarsh Kowdle;Devi Parikh;Jiebo Luo.
computer vision and pattern recognition (2010)
A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback
Yi Yang;Feiping Nie;Dong Xu;Jiebo Luo.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2012)
Method and apparatus for generating a composite image using the difference of two images
Kenneth A. Parulski;Jiebo Luo;Edward B. Gindele.
Method for automatic determination of main subjects in photographic images
Jiebo Luo;Stephen Etz;Amit Singhal.
Method and apparatus for determining the position of eyes and for correcting eye-defects in a captured frame
Image segmentation via adaptive K-mean clustering and knowledge-based morphological operations with biomedical applications
C.W. Chen;J. Luo;K.J. Parker.
IEEE Transactions on Image Processing (1998)
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