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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 351–360 of 1149 papers

TitleStatusHype
TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language ModelsCode1
ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models—0
Can MLLMs Guide Weakly-Supervised Temporal Action Localization Tasks?—0
EVQAScore: Efficient Video Question Answering Data Evaluation—0
Video RWKV:Video Action Recognition Based RWKV—0
StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video UnderstandingCode2
Personalized Video Summarization by Multimodal Video Understanding—0
PPLLaVA: Varied Video Sequence Understanding With Prompt GuidanceCode2
Language-Assisted Skeleton Action Understanding for Skeleton-Based Temporal Action SegmentationCode1
Video Token Merging for Long-form Video Understanding—0
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