Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight

Yunhua Zhang

Hazel Doughty

Cees G.M. Snoek

VIS Lab, University of Amsterdam

[Paper]

[Code]

[Dataset]

[Demo Video]

Our method adapts to darkness without requiring task-relevant dark videos and adaptively fuses appearance with the sound information.

Paper and Supplementary Material

Yunhua Zhang, Hazel Doughty, Cees G.M. Snoek
Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight
In Submission.
(hosted on ArXiv)
[Bibtex]

Contact

[Email]

[Twitter]

Acknowledgements

This work is financially supported by the Inception Institute of Artificial Intelligence, the University of Amsterdam and the allowance Top consortia for Knowledge and Innovation (TKIs) from the Netherlands Ministry of Economic Affairs and Climate Policy.

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