H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 69 Citations 22,606 213 World Ranking 901 National Ranking 16

Research.com Recognitions

Awards & Achievements

2020 - Fellow of the Indian National Academy of Engineering (INAE)

2016 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to machine learning for visual recognition and domain adaption

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Dong Xu mostly deals with Artificial intelligence, Pattern recognition, Machine learning, Feature extraction and Classifier. Much of his study explores Artificial intelligence relationship to Computer vision. His Pattern recognition research incorporates elements of Kernelization and Cluster analysis.

Many of his research projects under Machine learning are closely connected to Action recognition with Action recognition, tying the diverse disciplines of science together. His studies deal with areas such as Pyramid, Object detection, Earth mover's distance, Visualization and Discriminative model as well as Feature extraction. His Classifier research is multidisciplinary, relying on both Contextual image classification and Training set.

His most cited work include:

  • Graph Embedding and Extensions: A General Framework for Dimensionality Reduction (2213 citations)
  • Enhanced Computer Vision With Microsoft Kinect Sensor: A Review (1123 citations)
  • Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition (679 citations)

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

Dong Xu mainly investigates Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Machine learning. All of his Artificial intelligence and Classifier, Support vector machine, Feature, Dimensionality reduction and Visualization investigations are sub-components of the entire Artificial intelligence study. Dong Xu combines subjects such as Transfer of learning, Information retrieval and Image retrieval with his study of Support vector machine.

His Dimensionality reduction research is multidisciplinary, incorporating perspectives in Iterative method and Algorithm. His study explores the link between Pattern recognition and topics such as Contextual image classification that cross with problems in Scale-invariant feature transform and The Internet. His Feature extraction research incorporates themes from Object detection, Mixture model, Discriminative model, Kernel and Hidden Markov model.

He most often published in these fields:

  • Artificial intelligence (73.00%)
  • Pattern recognition (48.10%)
  • Computer vision (21.52%)

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

  • Artificial intelligence (73.00%)
  • Data compression (6.33%)
  • Artificial neural network (7.59%)

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

Dong Xu spends much of his time researching Artificial intelligence, Data compression, Artificial neural network, Pattern recognition and Benchmark. The Artificial intelligence study combines topics in areas such as Machine learning and Computer vision. His study in Machine learning is interdisciplinary in nature, drawing from both Field and Cognitive neuroscience of visual object recognition.

Dong Xu works mostly in the field of Artificial neural network, limiting it down to topics relating to Computer engineering and, in certain cases, End-to-end principle, Mixture model and Redundancy, as a part of the same area of interest. His research integrates issues of Representation, Cluster analysis, Data point, RGB color model and Visualization in his study of Pattern recognition. His Benchmark study combines topics in areas such as Sentence and Pruning.

Between 2019 and 2021, his most popular works were:

  • Generalized Latent Multi-View Subspace Clustering (137 citations)
  • P-CNN: Part-Based Convolutional Neural Networks for Fine-Grained Visual Categorization. (27 citations)
  • Synthesizing Supervision for Learning Deep Saliency Network without Human Annotation (26 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

His primary areas of study are Artificial intelligence, Data compression, Artificial neural network, Optical flow and Feature extraction. The study incorporates disciplines such as Machine learning and Pattern recognition in addition to Artificial intelligence. His Pattern recognition research includes themes of Subspace topology, Representation, Cluster analysis, Data point and Augmented Lagrangian method.

Dong Xu has included themes like Decoding methods and Computer engineering in his Data compression study. His work carried out in the field of Optical flow brings together such families of science as Classifier, Cognitive neuroscience of visual object recognition, Adversarial network and RGB color model. Dong Xu interconnects Categorization, Duplex, Detector and Visualization in the investigation of issues within 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.

Top Publications

Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

Shuicheng Yan;Dong Xu;Benyu Zhang;Hong-Jiang Zhang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2007)

3014 Citations

Enhanced Computer Vision With Microsoft Kinect Sensor: A Review

Jungong Han;Ling Shao;Dong Xu;Jamie Shotton.
IEEE Transactions on Systems, Man, and Cybernetics (2013)

1673 Citations

Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition

Jun Liu;Amir Shahroudy;Dong Xu;Gang Wang.
european conference on computer vision (2016)

834 Citations

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)

559 Citations

Domain Transfer Multiple Kernel Learning

Lixin Duan;I. W. Tsang;Dong Xu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2012)

474 Citations

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)

414 Citations

Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey

Junwei Han;Dingwen Zhang;Gong Cheng;Nian Liu.
IEEE Signal Processing Magazine (2018)

401 Citations

Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction

Feiping Nie;Dong Xu;Ivor Wai-Hung Tsang;Changshui Zhang.
IEEE Transactions on Image Processing (2010)

384 Citations

Multilinear Discriminant Analysis for Face Recognition

Shuicheng Yan;Dong Xu;Qiang Yang;Lei Zhang.
IEEE Transactions on Image Processing (2007)

369 Citations

A Siamese Long Short-Term Memory Architecture for Human Re-identification

Rahul Rama Varior;Bing Shuai;Jiwen Lu;Dong Xu.
european conference on computer vision (2016)

362 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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