3 citations · 5 across the 4 of their papers we have counts for
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cs.CV2021★ 3 cited
Evaluating Transformers for Lightweight Action Recognition
Raivo Koot, Markus Hennerbichler, Haiping Lu
In video action recognition, transformers consistently reach state-of-the-art accuracy. However, many models are too heavyweight for the average researcher with limited hardware re…
cs.CV2021★ 2 cited
VideoLightFormer: Lightweight Action Recognition using Transformers
Raivo Koot, Haiping Lu
Efficient video action recognition remains a challenging problem. One large model after another takes the place of the state-of-the-art on the Kinetics dataset, but real-world effi…
cs.CV2021
Team PyKale (xy9) Submission to the EPIC-Kitchens 2021 Unsupervised Domain Adaptation Challenge for Action Recognition
Xianyuan Liu, Raivo Koot, Shuo Zhou +2
This report describes the technical details of our submission to the EPIC-Kitchens 2021 Unsupervised Domain Adaptation Challenge for Action Recognition. The EPIC-Kitchens dataset i…