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 761–770 of 1149 papers

TitleStatusHype
VURF: A General-purpose Reasoning and Self-refinement Framework for Video UnderstandingCode0
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding—0
Don't Judge by the Look: Towards Motion Coherent Video RepresentationCode0
Action Reimagined: Text-to-Pose Video Editing for Dynamic Human Actions—0
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives—0
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies—0
Abductive Ego-View Accident Video Understanding for Safe Driving Perception—0
TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning—0
LLMs Meet Long Video: Advancing Long Video Question Answering with An Interactive Visual Adapter in LLMs—0
Slot-VLM: SlowFast Slots for Video-Language Modeling—0
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