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cs.CV2024
EgoLM: Multi-Modal Language Model of Egocentric Motions
Fangzhou Hong, Vladimir Guzov, Hyo Jin Kim +4
As the prevalence of wearable devices, learning egocentric motions becomes essential to develop contextual AI. In this work, we present EgoLM, a versatile framework that tracks and…
cs.CV2024
Nymeria: A Massive Collection of Multimodal Egocentric Daily Motion in the Wild
Lingni Ma, Yuting Ye, Fangzhou Hong +14
We introduce Nymeria - a large-scale, diverse, richly annotated human motion dataset collected in the wild with multiple multimodal egocentric devices. The dataset comes with a) fu…