Qiang Wang
Ph.D. candidate
National Laboratory of Pattern Recognition
Institute of Automation Chinese Academy of Sciences

Email / GitHub / Google Scholar / Resume

About me

I am a fifth-year Ph.D. candidate in National Laboratory of Pattern Recognition at the Institute of Automation, Chinese Academic of Sciences. My supervisor is Prof. Weiming Hu. Before that, I received the B. Eng degree from University of Science and Technology Beijing in 2015. My research interest includes machine learning and pattern recognition, with a focus on visual tracking and video object segmentation. I was a visiting scholar in the Department of Engineering Science at the University of Oxford, under the supervision of Philip H.S. Torr, for 6 months from September 2018.

News

Publications

Anchor Diffusion for Unsupervised Video Object Segmentation
Zhao Yang *, Qiang Wang *, Luca Bertinetto, Weiming Hu, Song Bai, Philip H.S. Torr
The IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019.

pdf | bibtex | Code
@inproceedings{yang2019anchor,
title={Anchor Diffusion for Unsupervised Video Object Segmentation},
author={Yang, Zhao and Wang, Qiang and Bertinetto, Luca and Bai, Song and Hu, Weiming and Torr, Philip H.S.},
booktitle={ICCV},
year={2019}
}
    
Fast Online Object Tracking and Segmentation: A Unifying Approach
Qiang Wang *, Li Zhang *, Luca Bertinetto *, Weiming Hu, Philip H.S. Torr
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, June 2019.

arXiv | Project | bibtex | Code
@inproceedings{wang2019fast,
title={Fast online object tracking and segmentation: A unifying approach},
author={Wang, Qiang and Zhang, Li and Bertinetto, Luca and Hu, Weiming and Torr, Philip HS},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
year={2019}
}
    
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
Bo Li *, Wei Wu *, Qiang Wang *, Fangyi Zhang, Junliang Xing, Junjie Yan
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, June 2019. (Oral)

arXiv | Project | bibtex | Code
@InProceedings{Li_2019_CVPR,
author = {Li, Bo and Wu, Wei and Wang, Qiang and Zhang, Fangyi and Xing, Junliang and Yan, Junjie},
title = {SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
    
Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning
Jin Gao, Qiang Wang, Junliang Xing, Haibin Ling, Weiming Hu, Stephen Maybank
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.

Paper | Results | bibtex
@article{gao2018tracking,
  title = {Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  author = {Gao, Jin and Wang, Qiang and Xing, Junliang and Ling, Haibin and Hu, Weiming and Maybank, Stephen},
  year = {2018},
  doi = {10.1109/TPAMI.2018.2889070},
}
    
Distractor-aware Siamese Networks for Visual Object Tracking
Zheng Zhu *, Qiang Wang *, Bo Li *, Wei Wu, Junjie Yan, Weiming Hu
European Conference on Computer Vision (ECCV), Munich, Germany, Septemeber 2018.

arXiv | PDF | Slides at VOT18 | bibtex | Code
@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Zheng and Wang, Qiang and Li, Bo and Wu, Wei and Yan, Junjie and Hu, Weiming},
title = {Distractor-aware Siamese Networks for Visual Object Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
    
Visual Tracking via Spatially Aligned Correlation Filters Network
Mengdan Zhang *, Qiang Wang *, Junliang Xing, Jin Gao, Peixi Peng, Weiming Hu, Steve Maybank
European Conference on Computer Vision (ECCV), Munich, Germany, Septemeber 2018.

PDF | bibtex
@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Mengdan and Wang, Qiang and Xing, Junliang and Gao, Jin and Peng, Peixi and Hu, Weiming and Maybank, Steve},
title = {Visual Tracking via Spatially Aligned Correlation Filters Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
    
SPCNet: Scale Position Correlation Network for End-to-End Visual Tracking
Qiang Wang *, Jin Gao, Mengdan Zhang, Junliang Xing, Weiming Hu
International Conference on Pattern Recognition (ICPR), Beijing, China, Aug 2018.

PDF | IEEE | bibtex
@InProceedings{Wang_2018_ICPR,
author = {Wang, Qiang and Gao, Jin and Xing, Junliang and Mengdan Zhang and Hu, Weiming and Maybank, Stephen},
title = {SPCNet: Scale Position Correlation Network for End-to-End Visual Tracking},
booktitle = {International Conference on Pattern Recognition (ICPR)},
month = {Aug},
year = {2018}
}
    
Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking
Qiang Wang *, Mengdan Zhang *, Junliang Xing, Jin Gao, Weiming Hu, Steve Maybank
International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, July 2018.

PDF | bibtex
@inproceedings{Wang_2018_IJCAI,
  title     = {Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking},
  author    = {Qiang Wang and Mengdan Zhang and Junliang Xing and Jin Gao and Weiming Hu and Steve Maybank},
  booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on
               Artificial Intelligence, {IJCAI-18}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},             
  pages     = {985--991},
  year      = {2018},
  month     = {7},
  doi       = {10.24963/ijcai.2018/137},
  url       = {https://doi.org/10.24963/ijcai.2018/137},
}
    
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking
Qiang Wang *, Zhu Teng *, Junliang Xing, Jin Gao, Weiming Hu, Steve Maybank
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 2018.

PDF | bibtex
@InProceedings{Wang_2018_CVPR,
author = {Wang, Qiang and Teng, Zhu and Xing, Junliang and Gao, Jin and Hu, Weiming and Maybank, Stephen},
title = {Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
    
Robust Object Tracking based on Temporal and Spatial Deep Networks
Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng, Yi Jin
The IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.

PDF | bibtex
@InProceedings{Teng_2017_ICCV,
author = {Teng, Zhu and Xing, Junliang and Wang, Qiang and Lang, Congyan and Feng, Songhe and Jin, Yi},
title = {Robust Object Tracking Based on Temporal and Spatial Deep Networks},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {Oct},
year = {2017}
}
    

Preprints

DCFNet: Discriminant Correlation Filters Network for Visual Tracking
Qiang Wang, Jin Gao, Junliang Xing, Mengdan Zhang, Weiming Hu
arXiv preprint arXiv: 1704.04057, 2017.

arXiv | bibtex | Code ( MatConNet / PyTorch )
@article{Wang2017dcfnet,
title={Dcfnet: Discriminant correlation filters network for visual tracking},
author={Wang, Qiang and Gao, Jin and Xing, Junliang and Zhang, Mengdan and Hu, Weiming},
journal={arXiv preprint arXiv:1704.04057},
year={2017}
}
    

Github Project

Roadmap for Visual Tracking from 2013 High-Speed Tracking with Kernelized Correlation Filters, TPAMI2015 In Defense of Color-based Model-free Tracking, CVPR2015 Learning to Segment Object Candidates, NIPS2015
Learning Efficient Convolutional Networks through Network Slimming, ICCV2017 PySOT: Research Platform for Single Object Tracking

From RBG.