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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 821–830 of 1149 papers

TitleStatusHype
Temporally-Adaptive Models for Efficient Video Understanding—0
M^3Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition—0
DPMix: Mixture of Depth and Point Cloud Video Experts for 4D Action Segmentation—0
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation—0
HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge UnderstandingCode0
VideoGLUE: Video General Understanding Evaluation of Foundation Models—0
ICSVR: Investigating Compositional and Syntactic Understanding in Video Retrieval ModelsCode0
Temporal Action Proposal Generation With Action Frequency Adaptive NetworkCode0
Learning Space-Time Semantic Correspondences—0
Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment—0
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