3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CV2021
Skeleton-Contrastive 3D Action Representation Learning
Fida Mohammad Thoker, Hazel Doughty, Cees G. M. Snoek
This paper strives for self-supervised learning of a feature space suitable for skeleton-based action recognition. Our proposal is built upon learning invariances to input skeleton…
cs.CV2021
Feature-Supervised Action Modality Transfer
Fida Mohammad Thoker, Cees G. M. Snoek
This paper strives for action recognition and detection in video modalities like RGB, depth maps or 3D-skeleton sequences when only limited modality-specific labeled examples are a…
cs.CV2019★ 3 cited
Cross-modal knowledge distillation for action recognition
Fida Mohammad Thoker, Juergen Gall
In this work, we address the problem how a network for action recognition that has been trained on a modality like RGB videos can be adapted to recognize actions for another modali…