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 561–570 of 1149 papers

TitleStatusHype
A Decade of Action Quality Assessment: Largest Systematic Survey of Trends, Challenges, and Future Directions—0
LV-XAttn: Distributed Cross-Attention for Long Visual Inputs in Multimodal Large Language Models—0
Exploring the Role of Explicit Temporal Modeling in Multimodal Large Language Models for Video Understanding—0
Understanding Long Videos via LLM-Powered Entity Relation Graphs—0
HumanOmni: A Large Vision-Speech Language Model for Human-Centric Video Understanding—0
Temporal Preference Optimization for Long-Form Video Understanding—0
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling—0
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model—0
HFGCN:Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition—0
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks—0
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