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 501–510 of 1149 papers

TitleStatusHype
Temporal Grounding of Activities using Multimodal Large Language Models—0
DeMamba: AI-Generated Video Detection on Million-Scale GenVideo BenchmarkCode2
EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery VideosCode1
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long VideosCode2
Hierarchical Action Recognition: A Contrastive Video-Language Approach with Hierarchical Interactions—0
MMCTAgent: Multi-modal Critical Thinking Agent Framework for Complex Visual Reasoning—0
Hawk: Learning to Understand Open-World Video AnomaliesCode3
Streaming Long Video Understanding with Large Language Models—0
MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models—0
Dense Connector for MLLMsCode2
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