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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 551–560 of 1149 papers

TitleStatusHype
MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval—0
iMOVE: Instance-Motion-Aware Video Understanding—0
Semantics-aware Test-time Adaptation for 3D Human Pose Estimation—0
Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering—0
A Survey on Mamba Architecture for Vision Applications—0
Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis—0
CoS: Chain-of-Shot Prompting for Long Video Understanding—0
A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems—0
WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs—0
MaxInfo: A Training-Free Key-Frame Selection Method Using Maximum Volume for Enhanced Video Understanding—0
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