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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 51–60 of 1149 papers

TitleStatusHype
LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via a Hybrid ArchitectureCode3
Harnessing Temporal Causality for Advanced Temporal Action DetectionCode3
SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language ModelsCode3
VideoGPT+: Integrating Image and Video Encoders for Enhanced Video UnderstandingCode3
Flash-VStream: Memory-Based Real-Time Understanding for Long Video StreamsCode3
MLVU: Benchmarking Multi-task Long Video UnderstandingCode3
Hawk: Learning to Understand Open-World Video AnomaliesCode3
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video UnderstandingCode3
Video Mamba Suite: State Space Model as a Versatile Alternative for Video UnderstandingCode3
Video ReCap: Recursive Captioning of Hour-Long VideosCode3
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