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 851–860 of 1149 papers

TitleStatusHype
Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection—0
GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning—0
GVT2RPM: An Empirical Study for General Video Transformer Adaptation to Remote Physiological Measurement—0
H2VU-Benchmark: A Comprehensive Benchmark for Hierarchical Holistic Video Understanding—0
HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models—0
Harnessing Object and Scene Semantics for Large-Scale Video Understanding—0
HAVANA: Hierarchical stochastic neighbor embedding for Accelerated Video ANnotAtions—0
HENASY: Learning to Assemble Scene-Entities for Egocentric Video-Language Model—0
HFGCN:Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition—0
Hierarchical Action Recognition: A Contrastive Video-Language Approach with Hierarchical Interactions—0
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