World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
79
Citations
38656
World Ranking
1120
National Ranking
159

Overview

Wenyu Liu is affiliated with Huazhong University of Science and Technology in China. Their research focuses primarily on the fields of Computer Science and Engineering, contributing extensively to subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Biomedical Engineering, and Mechanical Engineering.

The scientist has produced a substantial body of work covering multiple specialized topics, such as:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Visual Attention and Saliency Detection

Wenyu Liu's recent publications include:

  • "Deep High-Resolution Representation Learning for Visual Recognition," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT," 2020, IEEE Transactions on Medical Imaging
  • "CCNet: Criss-Cross Attention for Semantic Segmentation," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions," 2022, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent co-authors include:

  • Xinggang Wang
  • Tianheng Cheng
  • Jiemin Fang
  • Shaoyu Chen
  • Qian Zhang

The most common venues for Wenyu Liu's publications are:

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

Best Publications

  • Deep High-Resolution Representation Learning for Visual Recognition

    Jingdong Wang;Ke Sun;Tianheng Cheng;Borui Jiang

  • CCNet: Criss-Cross Attention for Semantic Segmentation

    Zilong Huang;Xinggang Wang;Lichao Huang;Chang Huang

  • ByteTrack: Multi-Object Tracking by Associating Every Detection Box

    Unknown

  • FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking

    Yifu Zhang;Chunyu Wang;Xinggang Wang;Wenjun Zeng

  • CCNet: Criss-Cross Attention for Semantic Segmentation

    Zilong Huang;Xinggang Wang;Yunchao Wei;Lichao Huang

  • TextBoxes: a fast text detector with a single deep neural network

    Minghui Liao;Baoguang Shi;Xiang Bai;Xinggang Wang

  • Detecting texts of arbitrary orientations in natural images

    Cong Yao;Xiang Bai;Wenyu Liu;Yi Ma

  • Mining user similarity based on location history

    Quannan Li;Yu Zheng;Xing Xie;Yukun Chen

  • High-Resolution Representations for Labeling Pixels and Regions

    Ke Sun;Yang Zhao;Borui Jiang;Tianheng Cheng

  • Minimizing Electricity Cost: Optimization of Distributed Internet Data Centers in a Multi-Electricity-Market Environment

    Lei Rao;Xue Liu;Le Xie;Wenyu Liu

  • Multi-oriented Text Detection with Fully Convolutional Networks

    Zheng Zhang;Chengquan Zhang;Wei Shen;Cong Yao

  • A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT

    Xinggang Wang;Xianbo Deng;Qing Fu;Qiang Zhou

  • Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution

    Xiang Bai;L.J. Latecki;Wen-Yu Liu

  • Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing

    Zilong Huang;Xinggang Wang;Jiasi Wang;Wenyu Liu

  • Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions

    Unknown

  • YOLO-World: Real-Time Open-Vocabulary Object Detection

    Unknown

  • Multiple Instance Detection Network with Online Instance Classifier Refinement

    Peng Tang;Xinggang Wang;Xiang Bai;Wenyu Liu

  • Revisiting multiple instance neural networks

    Xinggang Wang;Yongluan Yan;Peng Tang;Xiang Bai

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification

    Cheng Wang;Qian Zhang;Chang Huang;Wenyu Liu

  • PCL: Proposal Cluster Learning for Weakly Supervised Object Detection

    Peng Tang;Xinggang Wang;Song Bai;Wei Shen

  • A unified framework for multioriented text detection and recognition.

    Cong Yao;Xiang Bai;Wenyu Liu

  • Learning Context-Sensitive Shape Similarity by Graph Transduction

    Xiang Bai;Xingwei Yang;L.J. Latecki;Wenyu Liu

  • Strokelets: A Learned Multi-scale Representation for Scene Text Recognition

    Cong Yao;Xiang Bai;Baoguang Shi;Wenyu Liu

Frequent Co-Authors

Xinggang Wang
Xinggang Wang Huazhong University of Science and Technology
Xiang Bai
Xiang Bai Huazhong University of Science and Technology
Longin Jan Latecki
Longin Jan Latecki Temple University
Hongbo Jiang
Hongbo Jiang Hunan University
Zhuowen Tu
Zhuowen Tu University of California, San Diego
Cong Yao
Cong Yao Alibaba Group (China)
Xue Liu
Xue Liu McGill University
Jingdong Wang
Jingdong Wang Baidu (China)
Chonggang Wang
Chonggang Wang InterDigital (United States)
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University

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