赵凯 (Kai ZHAO)

Hi😊 我是赵凯。我从南开大学获得计算机科学的博士学位，导师是程明明教授。 我在上海大学完成本科和硕士学业，我的硕士导师是沈为博士。 我的研究兴趣主要是 计算机视觉👁️， 统计学习🧠和 强化学习🤖。 通俗上我的研究领域属于 人工智能， 我对数学，特别是优化和统计，以及统计学习模型和背后的数学原理和理论解释很感兴趣。 您可以访问http://kaizhao.net/research来详细了解我的研究和发表的论文。

个人经历：

联系方式：

请访问 http://kaizhao.net/contact 查看详细的联系方式。这里是我的简历 http://kaizhao.net/cv 。

Publications

  1. Kai Zhao*, Qi Han*, Chang-bin Zhang, Jun Xu, Mingg-Ming Cheng. "Deep Hough Transform for Semantic Line Detection." (* denotes equal contribution) [arXiv: 2003.04676]
  2. Kai Zhao*, Xin-Yu Zhang*, Qi Han*, Ming-Ming Cheng. "Dependency Aware Filter Pruning." (* denotes equal contribution) [arXiv: 2005.02634]
  3. Qi Han*, Kai Zhao*, Jun Xu, Mingg-Ming Cheng. "Deep Hough Transform for Semantic Line Detection." (* denotes equal contribution) 2020 European Conference on Computer Vision (ECCV). [PDF]
  4. Xin-Yu Zhang*, Kai Zhao*, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang. "Model-Agnostic Structured Sparsification with Learnable Channel Shuffle." (* denotes equal contribution) [arXiv: 2002.08127]
  5. Kai Zhao, Shanghua Gao, Wenguan Wang, Ming-Ming Cheng. "Optimizing the F-measure for Threshold-free Salient Object Detection." International conference on computer vision (ICCV), Seoul, Korea, 2019. [Project page] [PDF] [] 
    @InProceedings{zhao2019optimizing,
  author    = {Kai Zhao and Shanghua Gao and Wenguan Wang and Ming-ming Cheng},
  title     = {Optimizing the {F}-measure for Threshold-free Salient Object Detection},
  booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
  pages     = {8849-8857},
  month     = {Oct},
  year      = {2019},
  url       = {http://kaizhao.net/fmeasure}
}
  6. Kai Zhao, Jingyi Xu, Ming-Ming Cheng. "RegularFace: Deep Face Recognition via Exclusive Regularization." IEEE conference on Computer Vision and Patterm Recognition (CVPR), Long Beach, USA, 2019. [PDF] [project page] [] 
    @InProceedings{zhao2019regularface,
  author = {Zhao, Kai and Xu, Jingyi and Cheng, Ming-Ming},
  title = {RegularFace: Deep Face Recognition via Exclusive Regularization},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages     = {1136-1144},
  month = {June},
  year = {2019}
}
  7. Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, Ming-Ming Cheng. "Hi-Fi: Hierarchical Feature Integration for Skeleton Detection." International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, 2018. [PDF] [LaTeX Source] [Project page] [] 
    @inproceedings{zhao2018hifi,
  title     = {Hi-{F}i: Hierarchical Feature Integration for Skeleton Detection},
  author    = {Kai Zhao and Wei Shen and Shanghua Gao and Dandan Li and Ming-Ming Cheng},
  booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on
               Artificial Intelligence, {IJCAI-18}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  pages     = {1191--1197},
  year      = {2018},
  month     = {7},
  doi       = {10.24963/ijcai.2018/166},
  url       = {http://kaizhao.net/hifi},
}
  8. Wei Shen, Kai Zhao, Yilu Guo, Alan Yuille. "Label Distribution Learning Forests." Proceedings of advances in neural information processing systems(NIPS), Long Beach, USA, 2017. [arXiv:1702.06086] [Project Page] [Code] [] 
    @InProceedings{shen2017label,
  title     = {Label Distribution Learning Forests},
  author    = {Shen, Wei and Zhao, Kai and Guo, Yilu and Yuille, Alan},
  booktitle = {Proceedings of Advances in neural information processing systems},
  year      = {2017},
  url       = {http://kaizhao.net/ldlf},
}
  9. Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Zhijiang Zhang, Xiang Bai. "Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs." Proceddings of the 29th IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Las Vegas, USA, 2016. [arXiv:1603.09446] [Code] [] 
    @InProceedings{shen2016object,
  title={Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs},
  author={Shen, Wei and Zhao, Kai and Jiang, Yuan and Wang, Yan and Zhang, Zhijiang and Bai, Xiang},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  year={2016},
  pages={222-230},
  publisher={IEEE},
  howpublished = "\url{http://kaizhao.net/deepsk}"
}
  10. Shang-Hua Gao, Ming-Ming Cheng, Kai Zhao, Xin-Yu Zhang, Ming-Hsuan Yang, Philip Torr. "Res2Net: A New Multi-scale Backbone Architecture." (IEEE Trans on Pattern Analysis and Machine Intelligence, 2019) [Project Page ] [Code ]
  11. Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan Yuille "Deep Differentiable Random Forests for Age Estimation." (IEEE Trans on Pattern Analysis and Machine Intelligence, 2019)
  12. Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Xiang Bai, Alan Yuille. "DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images." (IEEE Trans on Image Processing, 2017) [arXiv:1609.03659] [Project Page ] [Code] [SK-LARGE dataset] [] 
    @article{shen2017deepskeleton,
  title={DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images},
  author={Shen, Wei and Zhao, Kai and Jiang, Yuan and Wang, Yan and Bai, Xiang and Yuille, Alan},
  journal={IEEE Transactions on Image Processing},
  volume={26},
  number={11},
  pages={5298-5311},
  year={2017},
  publisher={IEEE},
  howpublished = "\url{http://kaizhao.net/deepsk}"
}

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