World's Best Scientists 2026 revealed!
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Computer Science
Australia
2023

D-Index & Metrics

Computer Science

D-Index
83
Citations
32766
World Ranking
892
National Ranking
135

Research.com Recognitions

  • 2023 - Research.com Computer Science in Australia Leader Award
  • 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

Dong Xu is affiliated with the University of Hong Kong in China. Their research expertise lies primarily within the field of Computer Science, with a focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Signal Processing, and Radiology, Nuclear Medicine and Imaging.

The scientist has contributed to multiple main topics of research that include:

  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • 3D Shape Modeling and Analysis
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging

Dong Xu's work appears frequently in several publication venues, notably:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Among recent papers authored or co-authored by Dong Xu are:

  • Salient Object Detection via Integrity Learning, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • An End-to-End Learning Framework for Video Compression, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 3DVG-Transformer: Relation Modeling for Visual Grounding on Point Clouds, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • StyleFormer: Real-time Arbitrary Style Transfer via Parametric Style Composition, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Coarse-To-Fine Deep Video Coding with Hyperprior-Guided Mode Prediction, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent co-authors in the scientist's collaborative work include Wanli Ouyang, Guo Lu, Lu Sheng, Jinyang Guo, and Qian Yu. Dong Xu's collaborations with these individuals indicate robust engagement with other researchers in related disciplines.

The scientist has been recognized with fellowships awarded by professional organizations. These include the Fellow of the Indian National Academy of Engineering (INAE) in 2020 and the Fellow of the International Association for Pattern Recognition (IAPR) in 2016. The latter fellowship was conferred for contributions to machine learning for visual recognition and domain adaptation.

Best Publications

  • Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

    Shuicheng Yan;Dong Xu;Benyu Zhang;Hong-Jiang Zhang

  • Enhanced Computer Vision With Microsoft Kinect Sensor: A Review

    Jungong Han;Ling Shao;Dong Xu;Jamie Shotton

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

    Jun Liu;Amir Shahroudy;Dong Xu;Gang Wang

  • Mesh editing with poisson-based gradient field manipulation

    Yizhou Yu;Kun Zhou;Dong Xu;Xiaohan Shi

  • Generalized Latent Multi-View Subspace Clustering

    Changqing Zhang;Huazhu Fu;Qinghua Hu;Xiaochun Cao

  • DVC: An End-To-End Deep Video Compression Framework

    Guo Lu;Wanli Ouyang;Dong Xu;Xiaoyun Zhang

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

    Junwei Han;Dingwen Zhang;Gong Cheng;Nian Liu

  • Visual event recognition in videos by learning from web data

    Lixin Duan;Dong Xu;Ivor Wai-Hung Tsang;Jiebo Luo

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

    Rahul Rama Varior;Bing Shuai;Jiwen Lu;Dong Xu

  • Domain Transfer Multiple Kernel Learning

    Lixin Duan;I. W. Tsang;Dong Xu

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

    Feiping Nie;Dong Xu;Ivor Wai-Hung Tsang;Changshui Zhang

  • Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates

    Jun Liu;Amir Shahroudy;Dong Xu;Alex C. Kot

  • Collaborative and Adversarial Network for Unsupervised Domain Adaptation

    Weichen Zhang;Wanli Ouyang;Wen Li;Dong Xu

  • Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation

    Wen Li;Lixin Duan;Dong Xu;Ivor W. Tsang

  • A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback

    Yi Yang;Feiping Nie;Dong Xu;Jiebo Luo

  • Automated vocal analysis of naturalistic recordings from children with autism, language delay, and typical development.

    D. K. Oller;P. Niyogi;S. Gray;J. A. Richards

  • Visual event recognition in videos by learning from web data

    Unknown

  • Multilinear Discriminant Analysis for Face Recognition

    Shuicheng Yan;Dong Xu;Qiang Yang;Lei Zhang

  • Image Clustering Using Local Discriminant Models and Global Integration

    Yi Yang;Dong Xu;Feiping Nie;Shuicheng Yan

  • Trace Ratio vs. Ratio Trace for Dimensionality Reduction

    Huan Wang;Shuicheng Yan;Dong Xu;Xiaoou Tang

  • Domain adaptation from multiple sources via auxiliary classifiers

    Lixin Duan;Ivor W. Tsang;Dong Xu;Tat-Seng Chua

Frequent Co-Authors

Ivor W. Tsang
Ivor W. Tsang Agency for Science, Technology and Research
Wen Li
Wen Li University of Electronic Science and Technology of China
Shuicheng Yan
Shuicheng Yan National University of Singapore
Stephen Lin
Stephen Lin Microsoft Research Asia (China)
Jiebo Luo
Jiebo Luo University of Rochester
Xuelong Li
Xuelong Li China Telecom (China)
Wanli Ouyang
Wanli Ouyang Shanghai AI Lab
Lixin Duan
Lixin Duan University of Electronic Science and Technology of China
Dacheng Tao
Dacheng Tao Nanyang Technological University
Feiping Nie
Feiping Nie Northwestern Polytechnical University

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