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 271–280 of 1149 papers

TitleStatusHype
Q-Bench-Video: Benchmark the Video Quality Understanding of LMMs—0
Mamba4D: Efficient 4D Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space ModelsCode1
HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding—0
Video Language Model Pretraining with Spatio-temporal Masking—0
HuMoCon: Concept Discovery for Human Motion Understanding—0
Adaptive Keyframe Sampling for Long Video UnderstandingCode2
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception—0
AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction—0
Efficient Motion-Aware Video MLLM—0
Language-Guided Audio-Visual Learning for Long-Term Sports AssessmentCode1
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