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Found 4 papers, 3 papers with code
Learning to Estimate External Forces of Human Motion in Video
Analyzing sports performance or preventing injuries requires capturing ground reaction forces (GRFs) exerted by the human body during certain movements.
Temporally Guided Articulated Hand Pose Tracking in Surgical Videos
Additionally, we collect the first dataset, Surgical Hands, that provides multi-instance articulated hand pose annotations for in-vivo videos.
ViP: Video Platform for PyTorch
This work presents the Video Platform for PyTorch (ViP), a deep learning-based framework designed to handle and extend to any problem domain based on videos.
Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction
A naive extension of this approach to the video domain is to treat the entire segment as a bag of spatial object proposals.
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