- Zürich, Switzerland
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Towards-Visually-Explaining-Video-Understanding-Networks-With-Perturbation
Towards-Visually-Explaining-Video-Understanding-Networks-With-Perturbation PublicAttribution (or visual explanation) methods for understanding video classification networks. Demo codes for WACV2021 paper: Towards Visually Explaining Video Understanding Networks with Perturbation.
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Spatio-Temporal-Perturbations-for-Video-Attribution
Spatio-Temporal-Perturbations-for-Video-Attribution PublicThe source code for the journal paper: Spatio-Temporal Perturbations for Video Attribution, TCSVT-2021
Python 4
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Manipulation-Skill-Assessment-from-Videos-with-Spatial-Attention
Manipulation-Skill-Assessment-from-Videos-with-Spatial-Attention PublicSkill Assessment with Spatial Attention Network. Code for EPIC@ICCV2019 paper: Manipulation-skill assessment from videos with spatial attention network
Python 3
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Surgical-Skill-Assessment-via-Video-Semantic-Aggregation
Surgical-Skill-Assessment-via-Video-Semantic-Aggregation PublicCode for Surgical Skill Assessment via Video Semantic Aggregation (MICCAI 2022)
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Problems-I-met-when-convert-Torch-to-PyTorch
Problems-I-met-when-convert-Torch-to-PyTorch PublicProblems I met when convert Torch to PyTorch
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