World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
11506
World Ranking
5562
National Ranking
740

Overview

Hongxun Yao is affiliated with the Harbin Institute of Technology in China. Their research primarily focuses on the field of Computer Science with a specific emphasis on Computer Vision and Pattern Recognition.

Their scholarly output includes 116 publications classified under Computer Science, with 93 focusing on Computer Vision and Pattern Recognition. Other subfields include Artificial Intelligence, Computational Mechanics, Computer Graphics and Computer-Aided Design, and Plant Science.

Key research topics in their work encompass Advanced Image and Video Retrieval Techniques, Advanced Vision and Imaging, Human Pose and Action Recognition, Multimodal Machine Learning Applications, Advanced Image Processing Techniques, Generative Adversarial Networks and Image Synthesis, and Domain Adaptation and Few-Shot Learning.

Frequent publication venues where Hongxun Yao's work appears include:

  • arXiv (Cornell University)
  • Neurocomputing
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Image Processing
  • International Journal of Computer Vision

Some recent papers published by Hongxun Yao are:

  • Deep Saliency Hashing for Fine-Grained Retrieval, 2020, IEEE Transactions on Image Processing
  • Improving Wheat Yield Prediction Accuracy Using LSTM-RF Framework Based on UAV Thermal Infrared and Multispectral Imagery, 2022, Agriculture
  • SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • GRNet: Gridding Residual Network for Dense Point Cloud Completion, 2020, arXiv (Cornell University)
  • Temporal Action Proposal Generation with Background Constraint, 2022, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent collaborators in Hongxun Yao's research include Shengping Zhang, Haozhe Xie, Shangchen Zhou, Sicheng Zhao, and Qingming Huang. These collaborations reflect ongoing partnerships contributing to the breadth of topics covered.

Best Publications

  • Auto-encoder based dimensionality reduction

    Yasi Wang;Hongxun Yao;Sicheng Zhao

  • Hedged Deep Tracking

    Yuankai Qi;Shengping Zhang;Lei Qin;Hongxun Yao

  • Pix2Vox: Context-Aware 3D Reconstruction From Single and Multi-View Images

    Haozhe Xie;Hongxun Yao;Xiaoshuai Sun;Shangchen Zhou

  • Deep Feature Fusion for VHR Remote Sensing Scene Classification

    Souleyman Chaib;Huan Liu;Yanfeng Gu;Hongxun Yao

  • Exploring Principles-of-Art Features For Image Emotion Recognition

    Sicheng Zhao;Yue Gao;Xiaolei Jiang;Hongxun Yao

  • GRNet: Gridding Residual Network for Dense Point Cloud Completion

    Haozhe Xie;Hongxun Yao;Shangchen Zhou;Jiageng Mao

  • Sparse coding based visual tracking: Review and experimental comparison

    Shengping Zhang;Hongxun Yao;Xin Sun;Xiusheng Lu

  • Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images

    Haozhe Xie;Haozhe Xie;Hongxun Yao;Shengping Zhang;Shangchen Zhou

  • Location Discriminative Vocabulary Coding for Mobile Landmark Search

    Rongrong Ji;Ling-Yu Duan;Jie Chen;Hongxun Yao

  • Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression

    Sicheng Zhao;Hongxun Yao;Yue Gao;Rongrong Ji

  • Efficient Regional Memory Network for Video Object Segmentation

    Haozhe Xie;Hongxun Yao;Shangchen Zhou;Shengping Zhang

  • Predicting Personalized Image Emotion Perceptions in Social Networks

    Sicheng Zhao;Hongxun Yao;Yue Gao;Guiguang Ding

  • Robust visual tracking based on online learning sparse representation

    Shengping Zhang;Hongxun Yao;Huiyu Zhou;Xin Sun

  • An image fragile watermark scheme based on chaotic image pattern and pixel-pairs

    Shao-Hui Liu;Hong-Xun Yao;Wen Gao;Yong-Liang Liu

  • Trajectory based event tactics analysis in broadcast sports video

    Guangyu Zhu;Qingming Huang;Changsheng Xu;Yong Rui

  • Exploiting the complementary strengths of multi-layer CNN features for image retrieval

    Wei Yu;Kuiyuan Yang;Hongxun Yao;Xiaoshuai Sun

  • Hedging Deep Features for Visual Tracking

    Yuankai Qi;Shengping Zhang;Lei Qin;Qingming Huang

  • Mining city landmarks from blogs by graph modeling

    Rongrong Ji;Xing Xie;Hongxun Yao;Wei-Ying Ma

  • Dynamic background modeling and subtraction using spatio-temporal local binary patterns

    Shengping Zhang;Hongxun Yao;Shaohui Liu

  • Event Tactic Analysis Based on Broadcast Sports Video

    Guangyu Zhu;Changsheng Xu;Qingming Huang;Yong Rui

  • Visual tracking via weakly supervised learning from multiple imperfect oracles

    Bineng Zhong;Hongxun Yao;Sheng Chen;Rongrong Ji

Frequent Co-Authors

Rongrong Ji
Rongrong Ji Xiamen University
Wen Gao
Wen Gao Peking University
Sicheng Zhao
Sicheng Zhao Tsinghua University
Shengping Zhang
Shengping Zhang Harbin Institute of Technology
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Xilin Chen
Xilin Chen University of Chinese Academy of Sciences
Ling-Yu Duan
Ling-Yu Duan Peking University
Debin Zhao
Debin Zhao Harbin Institute of Technology
Yong Rui
Yong Rui Lenovo (China)
Qi Tian
Qi Tian Huawei Technologies (China)

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