Human action recognition from various data modalities: A review

Z Sun, Q Ke, H Rahmani, M Bennamoun… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …

Video description: A survey of methods, datasets, and evaluation metrics

N Aafaq, A Mian, W Liu, SZ Gilani, M Shah - ACM Computing Surveys …, 2019 - dl.acm.org
Video description is the automatic generation of natural language sentences that describe
the contents of a given video. It has applications in human-robot interaction, hel** the …

Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives

K Grauman, A Westbury, L Torresani… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract We present Ego-Exo4D a diverse large-scale multimodal multiview video dataset
and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric …

Howto100m: Learning a text-video embedding by watching hundred million narrated video clips

A Miech, D Zhukov, JB Alayrac… - Proceedings of the …, 2019 - openaccess.thecvf.com
Learning text-video embeddings usually requires a dataset of video clips with manually
provided captions. However, such datasets are expensive and time consuming to create and …