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 551–560 of 1149 papers

TitleStatusHype
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset—0
HAVANA: Hierarchical stochastic neighbor embedding for Accelerated Video ANnotAtions—0
Aggregating Frame-level Features for Large-Scale Video Classification—0
Harnessing Object and Scene Semantics for Large-Scale Video Understanding—0
HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models—0
Cutup and Detect: Human Fall Detection on Cutup Untrimmed Videos Using a Large Foundational Video Understanding Model—0
A Unified Framework for Human-centric Point Cloud Video Understanding—0
H2VU-Benchmark: A Comprehensive Benchmark for Hierarchical Holistic Video Understanding—0
GVT2RPM: An Empirical Study for General Video Transformer Adaptation to Remote Physiological Measurement—0
Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data—0
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