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Semantic Segmentation

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    Illuminating Pedestrians via Simultaneous Detection & Segmentation

    Garrick Brazil, Xi Yin, Xiaoming Liu

    Pedestrian detection is a critical problem in computer vision with significant impact on safety in urban autonomous driving. In this work, we explore how semantic segmentation can be used to boost pedestrian detection accuracy while having little to no impact on network efficiency. We propose a segmentation infusion network to ...

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    Keywords: Pedestrian Detection, Semantic Segmentation

2019

  • Recurrent Flow-Guided Semantic Forecasting
    Adam M. Terwilliger, Garrick Brazil, Xiaoming Liu
    Proc. IEEE Winter Conference on Application of Computer Vision (WACV 2019), Hawaii, Jan. 2019
    Bibtex | PDF | arXiv | Poster | Project Webpage | Code
  • @inproceedings{ recurrent-flow-guided-semantic-forecasting,
      author = { Adam M. Terwilliger and Garrick Brazil and Xiaoming Liu },
      title = { Recurrent Flow-Guided Semantic Forecasting },
      booktitle = { Proc. IEEE Winter Conference on Application of Computer Vision },
      address = { Hawaii },
      month = { January },
      year = { 2019 },
    }

2017

  • Illuminating Pedestrians via Simultaneous Detection & Segmentation
    Garrick Brazil, Xi Yin, Xiaoming Liu
    In Proceeding of International Conference on Computer Vision (ICCV 2017), Venice, Italy, Oct. 2017
    Bibtex | PDF | arXiv | Poster | Project Webpage | Code
  • @inproceedings{ illuminating-pedestrians-via-simultaneous-detection-segmentation,
      author = { Garrick Brazil and Xi Yin and Xiaoming Liu },
      title = { Illuminating Pedestrians via Simultaneous Detection & Segmentation },
      booktitle = { In Proceeding of International Conference on Computer Vision },
      address = { Venice, Italy },
      month = { October },
      year = { 2017 },
    }