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 581–590 of 1149 papers

TitleStatusHype
Efficient Motion-Aware Video MLLM—0
VEU-Bench: Towards Comprehensive Understanding of Video Editing—0
Video Language Model Pretraining with Spatio-temporal Masking—0
Q-Bench-Video: Benchmark the Video Quality Understanding of LMMs—0
AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction—0
HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding—0
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception—0
Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models—0
Flexible Frame Selection for Efficient Video Reasoning—0
OV-HHIR: Open Vocabulary Human Interaction Recognition Using Cross-modal Integration of Large Language Models—0
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