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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 401–410 of 1149 papers

TitleStatusHype
Efficient Annotation and Learning for 3D Hand Pose Estimation: A Survey—0
An Effective Way to Improve YouTube-8M Classification Accuracy in Google Cloud Platform—0
AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction—0
IQViC: In-context, Question Adaptive Vision Compressor for Long-term Video Understanding LMMs—0
EAGLE: Egocentric AGgregated Language-video Engine—0
DynTok: Dynamic Compression of Visual Tokens for Efficient and Effective Video Understanding—0
BioVL-QR: Egocentric Biochemical Vision-and-Language Dataset Using Micro QR Codes—0
An Attempt towards Interpretable Audio-Visual Video Captioning—0
DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding—0
Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering—0
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