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 581–590 of 1149 papers

TitleStatusHype
Memory Consolidation Enables Long-Context Video Understanding—0
Spatio-temporal Prompting Network for Robust Video Feature ExtractionCode1
BehAVE: Behaviour Alignment of Video Game EncodingsCode1
A Survey on Generative AI and LLM for Video Generation, Understanding, and Streaming—0
Multi-granularity Correspondence Learning from Long-term Noisy VideosCode2
Cutup and Detect: Human Fall Detection on Cutup Untrimmed Videos Using a Large Foundational Video Understanding Model—0
Exploring Missing Modality in Multimodal Egocentric Datasets—0
Learning to Visually Connect Actions and their Effects—0
CrossVideo: Self-supervised Cross-modal Contrastive Learning for Point Cloud Video Understanding—0
Multi-scale 2D Temporal Map Diffusion Models for Natural Language Video Localization—0
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