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  • Zürich, Switzerland
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  1. Towards-Visually-Explaining-Video-Understanding-Networks-With-Perturbation Towards-Visually-Explaining-Video-Understanding-Networks-With-Perturbation Public

    Attribution (or visual explanation) methods for understanding video classification networks. Demo codes for WACV2021 paper: Towards Visually Explaining Video Understanding Networks with Perturbation.

    Python 19 1

  2. Spatio-Temporal-Perturbations-for-Video-Attribution Spatio-Temporal-Perturbations-for-Video-Attribution Public

    The source code for the journal paper: Spatio-Temporal Perturbations for Video Attribution, TCSVT-2021

    Python 3

  3. Manipulation-Skill-Assessment-from-Videos-with-Spatial-Attention Manipulation-Skill-Assessment-from-Videos-with-Spatial-Attention Public

    Skill Assessment with Spatial Attention Network. Code for EPIC@ICCV2019 paper: Manipulation-skill assessment from videos with spatial attention network

    Python 3

  4. Surgical-Skill-Assessment-via-Video-Semantic-Aggregation Surgical-Skill-Assessment-via-Video-Semantic-Aggregation Public

    Code for Surgical Skill Assessment via Video Semantic Aggregation (MICCAI 2022)

    Python 9 1

  5. Problems-I-met-when-convert-Torch-to-PyTorch Problems-I-met-when-convert-Torch-to-PyTorch Public

    Problems I met when convert Torch to PyTorch

    1