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@BCV-Uniandes

Biomedical Computer Vision Group @ Uniandes

We specialize in designing novel deep learning methodologies for computer vision, natural language understanding, and biomedicine.

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  1. SMIT Public

    Pytorch implemenation of Stochastic Multi-Label Image-to-image Translation (SMIT), ICCV Workshops 2019.

    Python 38 10

  2. DMS Public

    Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries, ECCV 2018

    Python 76 9

  3. AUNets Public

    Pytorch implementation of Multi-View Dynamic Facial Action Unit Detection, Image and Vision Computing (2018)

    Python 151 30

  4. BCVbrats Public

    Python 1

  5. PNG Public

    Python 61 10

  6. Bonet Public

    Hand Pose Estimation for Pediatric Bone Age Assessment

    Python 56 12

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