Search Results for author: Kirill Gavrilyuk

Found 5 papers, 1 papers with code

Motion-Augmented Self-Training for Video Recognition at Smaller Scale

no code implementations ICCV 2021 Kirill Gavrilyuk, Mihir Jain, Ilia Karmanov, Cees G. M. Snoek

With the motion model we generate pseudo-labels for a large unlabeled video collection, which enables us to transfer knowledge by learning to predict these pseudo-labels with an appearance model.

Action Recognition Optical Flow Estimation +3

Go with the Flow: Perception-refined Physics Simulation

no code implementations17 Oct 2019 Tom F. H. Runia, Kirill Gavrilyuk, Cees G. M. Snoek, Arnold W. M. Smeulders

Nevertheless, inferring specifics from visual observations is challenging due to the high number of causally underlying physical parameters -- including material properties and external forces.

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