Projects

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    Towards Interpretable Face Recognition

    Bangjie Yin, Luan Tran, Haoxiang Li, Xiaohui Shen, Xiaoming Liu

    Deep CNNs have been pushing the frontier of visual recognition over past years. Besides recognition accuracy, strong demands in understanding deep CNNs in the research community motivate developments of tools to dissect pre-trained models to visualize how they make predictions. Recent works further push the interpretability in the network learning ...

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    Keywords: Face recognition

Publications

2020

  • The Untold Secrets of WiFi-Calling Services: Vulnerabilities, Attacks, and Countermeasures
    Tian Xie, Guan-Hua Tu, Bangjie Yin, Chi-Yu Li, Chunyi Peng, Mi Zhang, Hui Liu, Xiaoming Liu
    IEEE Transactions on Mobile Computing, , May. 2020 (in press)
    Bibtex | PDF
  • @article{ the-untold-secrets-of-wifi-calling-services-vulnerabilities-attacks-and-countermeasures,
      author = { Tian Xie and Guan-Hua Tu and Bangjie Yin and Chi-Yu Li and Chunyi Peng and Mi Zhang and Hui Liu and Xiaoming Liu },
      title = { The Untold Secrets of WiFi-Calling Services: Vulnerabilities, Attacks, and Countermeasures },
      journal = { IEEE Transactions on Mobile Computing },
      month = { May },
      year = { 2020 },
    }

2019

  • Towards Interpretable Face Recognition
    Bangjie Yin*, Luan Tran*, Haoxiang Li, Xiaohui Shen, Xiaoming Liu
    In Proceeding of International Conference on Computer Vision (ICCV 2019), Seoul, South Korea, Oct. 2019 (Oral presentation)
    Bibtex | PDF | arXiv | Project Webpage | Video
  • @inproceedings{ towards-interpretable-face-recognition,
      author = { Bangjie Yin* and Luan Tran* and Haoxiang Li and Xiaohui Shen and Xiaoming Liu },
      title = { Towards Interpretable Face Recognition },
      booktitle = { In Proceeding of International Conference on Computer Vision },
      address = { Seoul, South Korea },
      month = { October },
      year = { 2019 },
    }