D-Index & Metrics Best Publications
Computer Science
China
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 107 Citations 49,299 691 World Ranking 155 National Ranking 16

Research.com Recognitions

Awards & Achievements

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.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

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.

His most cited work include:

  • A survey on visual surveillance of object motion and behaviors (1920 citations)
  • Recent developments in human motion analysis (924 citations)
  • Silhouette analysis-based gait recognition for human identification (920 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Artificial intelligence (88.27%)
  • Pattern recognition (50.42%)
  • Computer vision (46.93%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (88.27%)
  • Pattern recognition (50.42%)
  • Computer vision (46.93%)

In recent papers he was focusing on the following fields of study:

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.

Between 2016 and 2021, his most popular works were:

  • A Light CNN for Deep Face Representation With Noisy Labels (505 citations)
  • A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs (256 citations)
  • Session-Based Recommendation with Graph Neural Networks (217 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Machine learning

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.

Best Publications

A survey on visual surveillance of object motion and behaviors

Weiming Hu;Tieniu Tan;Liang Wang;S. Maybank.
systems man and cybernetics (2004)

3108 Citations

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)

1421 Citations

Recent developments in human motion analysis

Liang Wang;Weiming Hu;Tieniu Tan.
Pattern Recognition (2003)

1417 Citations

Personal identification based on iris texture analysis

Li Ma;Tieniu Tan;Yunhong Wang;Dexin Zhang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2003)

1396 Citations

An SVD-based watermarking scheme for protecting rightful ownership

Ruizhen Liu;Tieniu Tan.
IEEE Transactions on Multimedia (2002)

1385 Citations

Efficient iris recognition by characterizing key local variations

Li Ma;Tieniu Tan;Yunhong Wang;Dexin Zhang.
IEEE Transactions on Image Processing (2004)

1305 Citations

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)

799 Citations

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)

775 Citations

A system for learning statistical motion patterns

Weiming Hu;Xuejuan Xiao;Zhouyu Fu;D. Xie.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2006)

660 Citations

Brief review of invariant texture analysis methods

Jianguo Zhang;Tieniu Tan.
Pattern Recognition (2002)

644 Citations

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