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Found 2 papers, 1 papers with code
ActionFlowNet: Learning Motion Representation for Action Recognition
Even with the recent advances in convolutional neural networks (CNN) in various visual recognition tasks, the state-of-the-art action recognition system still relies on hand crafted motion feature such as optical flow to achieve the best performance.
Ranked #69 on
Action Recognition
on HMDB-51
Learning Temporal Regularity in Video Sequences
Perceiving meaningful activities in a long video sequence is a challenging problem due to ambiguous definition of 'meaningfulness' as well as clutters in the scene.
Ranked #2 on
Traffic Accident Detection
on A3D
