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 71–80 of 1149 papers

TitleStatusHype
Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language ModelsCode2
TinyLLaVA-Video-R1: Towards Smaller LMMs for Video ReasoningCode2
Re-thinking Temporal Search for Long-Form Video UnderstandingCode2
Scaling Video-Language Models to 10K Frames via Hierarchical Differential DistillationCode2
SpaceR: Reinforcing MLLMs in Video Spatial ReasoningCode2
Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1Code2
Mobile-VideoGPT: Fast and Accurate Video Understanding Language ModelCode2
ViSpeak: Visual Instruction Feedback in Streaming VideosCode2
AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language UnderstandingCode2
QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video ComprehensionCode2
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