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 231–240 of 1149 papers

TitleStatusHype
Learning Temporally Causal Latent Processes from General Temporal DataCode1
Learning the Predictability of the FutureCode1
Point Primitive Transformer for Long-Term 4D Point Cloud Video UnderstandingCode1
Lightweight Network Architecture for Real-Time Action RecognitionCode1
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud VideosCode1
Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary DetectionCode1
Language Repository for Long Video UnderstandingCode1
Learning Optical Flow with Adaptive Graph ReasoningCode1
Language-Assisted Skeleton Action Understanding for Skeleton-Based Temporal Action SegmentationCode1
Compositional Video Understanding with Spatiotemporal Structure-based TransformersCode1
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