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MMTF: Multi-Modal Temporal Fusion for Commonsense Video Question Answering
To address this, we propose a novel vision-text fusion module that learns the temporal context of the video and question.
Ranked #8 on
Video Question Answering
on AGQA 2.0 balanced
(Average Accuracy metric)
ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications
We then generate KIST SynADL, a large-scale synthetic dataset of elders' activities of daily living, from ElderSim and use the data in addition to real datasets to train three state-of the-art human action recognition models.
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