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 511–520 of 1149 papers

TitleStatusHype
Identity-aware Graph Memory Network for Action Detection—0
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding—0
AirLetters: An Open Video Dataset of Characters Drawn in the Air—0
Action Sensitivity Learning for Temporal Action Localization—0
i-Code: An Integrative and Composable Multimodal Learning Framework—0
Empowering LLMs with Pseudo-Untrimmed Videos for Audio-Visual Temporal Understanding—0
Development of a MultiModal Annotation Framework and Dataset for Deep Video Understanding—0
MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models—0
HuMoCon: Concept Discovery for Human Motion Understanding—0
HumanVBench: Exploring Human-Centric Video Understanding Capabilities of MLLMs with Synthetic Benchmark Data—0
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