2023 - Research.com Computer Science in China Leader Award
2014 - Fellow, The World Academy of Sciences
2004 - IEEE Fellow For contributions to pattern recognition research and applications.
The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Biometrics. His study in Machine learning extends to Artificial intelligence with its themes. He focuses mostly in the field of Pattern recognition, narrowing it down to matters related to Facial recognition system and, in some cases, Word error rate.
His study in the field of Image segmentation, Image processing and Face is also linked to topics like Gait analysis. His Feature extraction study integrates concerns from other disciplines, such as Pixel, Feature vector, Contextual image classification, Discriminative model and Convolutional neural network. In his study, Handwriting is strongly linked to Identification, which falls under the umbrella field of Biometrics.
Tieniu Tan spends much of his time researching Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Biometrics. The study of Artificial intelligence is intertwined with the study of Machine learning in a number of ways. His Pattern recognition research incorporates themes from Contextual image classification, Histogram and Feature.
The various areas that he examines in his Feature extraction study include Classifier and Edge detection. Biometrics is closely attributed to Identification in his study. His Iris recognition research integrates issues from IRIS and Iris.
Tieniu Tan focuses on Artificial intelligence, Pattern recognition, Computer vision, Machine learning and Image. His works in Deep learning, Convolutional neural network, Discriminative model, Feature extraction and Pixel are all subjects of inquiry into Artificial intelligence. Tieniu Tan interconnects Ranking, Data mining and Pattern recognition in the investigation of issues within Deep learning.
His Pattern recognition research incorporates elements of Margin, Facial recognition system, Invariant and Feature. His Computer vision research includes elements of Normal and Robustness. His work carried out in the field of Image brings together such families of science as Natural language processing, Key, Embedding and Benchmark.
His primary scientific interests are in Artificial intelligence, Pattern recognition, Computer vision, Machine learning and Facial recognition system. His study on Class is often connected to Action recognition as part of broader study in Pattern recognition. His Biometrics, Iris recognition and Pose study in the realm of Computer vision interacts with subjects such as Lenslet.
Tieniu Tan has researched Biometrics in several fields, including Field and Fingerprint. His Machine learning research is multidisciplinary, incorporating perspectives in Embedding, Feature extraction and Social media. His studies deal with areas such as Classifier, Cluster analysis and Feature vector as well as Feature extraction.
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.
A survey on visual surveillance of object motion and behaviors
Weiming Hu;Tieniu Tan;Liang Wang;S. Maybank.
systems man and cybernetics (2004)
Silhouette analysis-based gait recognition for human identification
Liang Wang;Tieniu Tan;Huazhong Ning;Weiming Hu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2003)
Recent developments in human motion analysis
Liang Wang;Weiming Hu;Tieniu Tan.
Pattern Recognition (2003)
Personal identification based on iris texture analysis
Li Ma;Tieniu Tan;Yunhong Wang;Dexin Zhang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2003)
An SVD-based watermarking scheme for protecting rightful ownership
Ruizhen Liu;Tieniu Tan.
IEEE Transactions on Multimedia (2002)
Efficient iris recognition by characterizing key local variations
Li Ma;Tieniu Tan;Yunhong Wang;Dexin Zhang.
IEEE Transactions on Image Processing (2004)
A Light CNN for Deep Face Representation With Noisy Labels
Xiang Wu;Ran He;Zhenan Sun;Tieniu Tan.
IEEE Transactions on Information Forensics and Security (2018)
A Framework for Evaluating the Effect of View Angle, Clothing and Carrying Condition on Gait Recognition
Shiqi Yu;Daoliang Tan;Tieniu Tan.
international conference on pattern recognition (2006)
A system for learning statistical motion patterns
Weiming Hu;Xuejuan Xiao;Zhouyu Fu;D. Xie.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2006)
Brief review of invariant texture analysis methods
Jianguo Zhang;Tieniu Tan.
Pattern Recognition (2002)
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