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 751–760 of 1149 papers

TitleStatusHype
HENASY: Learning to Assemble Scene-Entities for Egocentric Video-Language Model—0
HFGCN:Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition—0
Hierarchical Action Recognition: A Contrastive Video-Language Approach with Hierarchical Interactions—0
HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding—0
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding—0
Highlight Timestamp Detection Model for Comedy Videos via Multimodal Sentiment Analysis—0
HLVU : A New Challenge to Test Deep Understanding of Movies the Way Humans do—0
H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving—0
How Can Objects Help Video-Language Understanding?—0
How to Make a BLT Sandwich? Learning to Reason towards Understanding Web Instructional Videos—0
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