H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 97 Citations 40,843 830 World Ranking 175 National Ranking 21

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

His primary scientific interests are in Artificial intelligence, Pattern recognition, Computer vision, Image retrieval and Feature extraction. The study of Artificial intelligence is intertwined with the study of Machine learning in a number of ways. His Pattern recognition research focuses on Object detection and how it relates to Detector, Background subtraction and Segmentation.

As part of the same scientific family, Qi Tian usually focuses on Computer vision, concentrating on Feature vector and intersecting with Salient and Construct. His Image retrieval research integrates issues from Codebook, Quantization, Information retrieval, Search engine indexing and Visualization. His Feature extraction study incorporates themes from Weighting, Motion analysis, Histogram, Key and Robustness.

His most cited work include:

  • Scalable Person Re-identification: A Benchmark (1581 citations)
  • Statistical modeling of complex backgrounds for foreground object detection (904 citations)
  • Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline) (717 citations)

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

Artificial intelligence, Pattern recognition, Computer vision, Image retrieval and Machine learning are his primary areas of study. His work on Artificial intelligence deals in particular with Feature extraction, Discriminative model, Feature, Contextual image classification and Visual Word. He has included themes like Visualization and Image in his Pattern recognition study.

His research related to Object detection, Video tracking, Segmentation, Image segmentation and Object might be considered part of Computer vision. He has researched Image retrieval in several fields, including Data mining and Information retrieval, Search engine indexing. His research integrates issues of Representation, Training set and Benchmark in his study of Machine learning.

He most often published in these fields:

  • Artificial intelligence (72.65%)
  • Pattern recognition (40.26%)
  • Computer vision (23.21%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (72.65%)
  • Pattern recognition (40.26%)
  • Machine learning (18.37%)

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

His primary areas of investigation include Artificial intelligence, Pattern recognition, Machine learning, Computer vision and Discriminative model. His study in Artificial intelligence focuses on Feature, Feature extraction, Feature learning, Benchmark and Deep learning. His research in Feature extraction intersects with topics in Visualization and Convolutional neural network.

Qi Tian interconnects Pixel, Similarity and Quantization in the investigation of issues within Pattern recognition. The various areas that Qi Tian examines in his Machine learning study include Contextual image classification, Sample, Training set and Key. In general Computer vision, his work in Object detection, Image, Moiré pattern and Segmentation is often linked to Domain linking many areas of study.

Between 2019 and 2021, his most popular works were:

  • GhostNet: More Features From Cheap Operations (93 citations)
  • PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search (93 citations)
  • Adversarial Domain Adaptation with Domain Mixup (51 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Feature extraction, Algorithm and Machine learning. Artificial neural network, Discriminative model, Feature, Convolutional neural network and Benchmark are the core of his Artificial intelligence study. His Pattern recognition research integrates issues from Precision and recall, Image, Object and Pixel.

His research integrates issues of Sequence, Deep learning, Feature learning and Image retrieval in his study of Feature extraction. His Algorithm research includes elements of Sketch and Robustness. His Machine learning research incorporates elements of Image, Probabilistic logic, Similarity and Graph.

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.

Top Publications

Scalable Person Re-identification: A Benchmark

Liang Zheng;Liang Zheng;Liyue Shen;Lu Tian;Shengjin Wang.
international conference on computer vision (2015)

1686 Citations

Statistical modeling of complex backgrounds for foreground object detection

Liyuan Li;Weimin Huang;Irene Yu-Hua Gu;Qi Tian.
IEEE Transactions on Image Processing (2004)

1144 Citations

Foreground object detection from videos containing complex background

Liyuan Li;Weimin Huang;Irene Y. H. Gu;Qi Tian.
acm multimedia (2003)

626 Citations

Algorithms for subpixel registration

Qi Tian;Michael N Huhns.
Graphical Models /graphical Models and Image Processing /computer Vision, Graphics, and Image Processing (1986)

568 Citations

Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)

Yifan Sun;Liang Zheng;Yi Yang;Qi Tian.
european conference on computer vision (2018)

552 Citations

MARS: A Video Benchmark for Large-Scale Person Re-Identification

Liang Zheng;Liang Zheng;Zhi Bie;Yifan Sun;Jingdong Wang.
european conference on computer vision (2016)

527 Citations

Pose-Driven Deep Convolutional Model for Person Re-identification

Chi Su;Jianing Li;Shiliang Zhang;Junliang Xing.
international conference on computer vision (2017)

422 Citations

Person Transfer GAN to Bridge Domain Gap for Person Re-identification

Longhui Wei;Shiliang Zhang;Wen Gao;Qi Tian.
computer vision and pattern recognition (2018)

395 Citations

SIFT Meets CNN: A Decade Survey of Instance Retrieval

Liang Zheng;Yi Yang;Qi Tian.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2018)

342 Citations

Deep Attributes Driven Multi-camera Person Re-identification

Chi Su;Shiliang Zhang;Junliang Xing;Wen Gao.
european conference on computer vision (2016)

302 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Qi Tian

Qingming Huang

Qingming Huang

Chinese Academy of Sciences

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Dacheng Tao

Dacheng Tao

University of Sydney

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Meng Wang

Meng Wang

Hefei University of Technology

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Changsheng Xu

Changsheng Xu

Chinese Academy of Sciences

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Yi Yang

Yi Yang

Zhejiang University

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Tao Mei

Tao Mei

Jingdong (China)

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Rongrong Ji

Rongrong Ji

Xiamen University

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Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 73

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 64

Hanqing Lu

Hanqing Lu

Chinese Academy of Sciences

Publications: 64

Yongdong Zhang

Yongdong Zhang

University of Science and Technology of China

Publications: 59

Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

Publications: 59

Xinbo Gao

Xinbo Gao

Chongqing University of Posts and Telecommunications

Publications: 56

Wen Gao

Wen Gao

Peking University

Publications: 56

Jiebo Luo

Jiebo Luo

University of Rochester

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