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

Showing 561570 of 1149 papers

TitleStatusHype
Towards Neuro-Symbolic Video UnderstandingCode1
VideoAgent: Long-form Video Understanding with Large Language Model as AgentCode2
Don't Judge by the Look: Towards Motion Coherent Video RepresentationCode0
Video Mamba Suite: State Space Model as a Versatile Alternative for Video UnderstandingCode3
Action Reimagined: Text-to-Pose Video Editing for Dynamic Human Actions0
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language ModelsCode4
VideoMamba: State Space Model for Efficient Video UnderstandingCode5
Beyond MOT: Semantic Multi-Object TrackingCode2
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives0
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies0
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