SOTAVerified

Video Understanding

A crucial task of Video Understanding is to recognise and localise (in space and time) different actions or events appearing in the video.

Source: Action Detection from a Robot-Car Perspective

Papers

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Showing 671–680 of 1149 papers

TitleStatusHype
Efficient Video Understanding via Layered Multi Frame-Rate Analysis—0
EgoEnv: Human-centric environment representations from egocentric video—0
Egocentric Video Task Translation—0
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding—0
Egok360: A 360 Egocentric Kinetic Human Activity Video Dataset—0
Ego-VPA: Egocentric Video Understanding with Parameter-efficient Adaptation—0
ElasticPlay: Interactive Video Summarization with Dynamic Time Budgets—0
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding—0
EmbRACE-3K: Embodied Reasoning and Action in Complex Environments—0
Empowering Agentic Video Analytics Systems with Video Language Models—0
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