World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
10619
World Ranking
7095
National Ranking
223

Overview

Qinfeng Shi is affiliated with the University of Adelaide in Australia and has produced a significant amount of research within the field of Computer Science, specializing in areas intersecting Computer Vision and Pattern Recognition, Artificial Intelligence, Materials Chemistry, Biomedical Engineering, and Civil and Structural Engineering.

The scientist's research contributions include a notable focus on topics such as Domain Adaptation and Few-Shot Learning, Advanced Image Processing Techniques, Multimodal Machine Learning Applications, Image Enhancement Techniques, Anomaly Detection Techniques and Applications, Human Pose and Action Recognition, and Image and Signal Denoising Methods.

Qinfeng Shi has contributed to numerous publications, with frequent appearances in several leading venues. These include:

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

Among recent research works are the following papers:

  • "MOT20: A benchmark for multi object tracking in crowded scenes" (2020), arXiv (Cornell University)
  • "Deep HDR Imaging via A Non-Local Network" (2020), IEEE Transactions on Image Processing
  • "A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations" (2024), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation" (2020), IEEE Journal of Biomedical and Health Informatics
  • "Implicit Sample Extension for Unsupervised Person Re-Identification" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The scientist has collaborated frequently with several co-authors, including Anton van den Hengel, Dong Gong, Qingsen Yan, Yanning Zhang, and Ehsan Abbasnejad. These collaborations have resulted in multiple joint publications contributing to the fields mentioned above.

Best Publications

  • Image-Based Recommendations on Styles and Substitutes

    Julian McAuley;Christopher Targett;Qinfeng Shi;Anton van den Hengel

  • Fast Supervised Hashing with Decision Trees for High-Dimensional Data

    Guosheng Lin;Chunhua Shen;Qinfeng Shi;Anton van den Hengel

  • From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur

    Dong Gong;Jie Yang;Lingqiao Liu;Yanning Zhang

  • Real-time visual tracking using compressive sensing

    Hanxi Li;Chunhua Shen;Qinfeng Shi

  • Joint Probabilistic Data Association Revisited

    Seyed Hamid Rezatofighi;Anton Milan;Zhen Zhang;Qinfeng Shi

  • Is face recognition really a Compressive Sensing problem

    Qinfeng Shi;Anders Eriksson;Anton van den Hengel;Chunhua Shen

  • Attention-Guided Network for Ghost-Free High Dynamic Range Imaging

    Qingsen Yan;Dong Gong;Qinfeng Shi;Anton van den Hengel

  • A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations

    Unknown

  • Hash Kernels for Structured Data

    Qinfeng Shi;James Petterson;Gideon Dror;John Langford

  • Inductive Hashing on Manifolds

    Fumin Shen;Chunhua Shen;Qinfeng Shi;Anton van den Hengel

  • Part-Based Visual Tracking with Online Latent Structural Learning

    Rui Yao;Qinfeng Shi;Chunhua Shen;Yanning Zhang

  • Deep HDR Imaging via A Non-Local Network

    Qingsen Yan;Lei Zhang;Yu Liu;Yu Zhu

  • Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal

    Jie Yang;Dong Gong;Lingqiao Liu;Qinfeng Shi

  • Hashing on Nonlinear Manifolds

    Fumin Shen;Chunhua Shen;Qinfeng Shi;Anton van den Hengel

  • Implicit Sample Extension for Unsupervised Person Re-Identification

    Unknown

  • Discriminative human action segmentation and recognition using semi-Markov model

    Qinfeng Shi;Li Wang;Li Cheng;A. Smola

  • Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering

    Ming Yin;Junbin Gao;Zhouchen Lin;Qinfeng Shi

  • Sensor enabled wearable RFID technology for mitigating the risk of falls near beds

    Roberto L. Shinmoto Torres;D. C. Ranasinghe;Qinfeng Shi;A. P. Sample

  • Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models

    Qinfeng Shi;Li Cheng;Li Wang;Alex Smola

  • Active Learning by Feature Mixing

    Unknown

  • COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution

    Qingsen Yan;Bo Wang;Dong Gong;Chuan Luo

  • Efficient Dense Labelling of Human Activity Sequences from Wearables using Fully Convolutional Networks

    Rui Yao;Rui Yao;Guosheng Lin;Qinfeng Shi;Damith Chinthana Ranasinghe

  • Counterfactual Vision and Language Learning

    Ehsan Abbasnejad;Damien Teney;Amin Parvaneh;Javen Shi

Frequent Co-Authors

Anton van den Hengel
Anton van den Hengel University of Adelaide
Chunhua Shen
Chunhua Shen Zhejiang University
Yanning Zhang
Yanning Zhang Northwestern Polytechnical University
Ian Reid
Ian Reid University of Adelaide
Mingkui Tan
Mingkui Tan South China University of Technology
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Damith C. Ranasinghe
Damith C. Ranasinghe University of Adelaide
Anthony Dick
Anthony Dick University of Adelaide
Lingqiao Liu
Lingqiao Liu University of Adelaide
Guosheng Lin
Guosheng Lin Nanyang Technological University

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