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 821–830 of 1149 papers

TitleStatusHype
Leveraging Foundation Models for Multimodal Graph-Based Action Recognition—0
Leveraging Local Temporal Information for Multimodal Scene Classification—0
LIGAR: Lightweight General-purpose Action Recognition—0
LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval—0
LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering—0
LLaVA-MLB: Mitigating and Leveraging Attention Bias for Training-Free Video LLMs—0
LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding—0
LLAVIDAL: A Large LAnguage VIsion Model for Daily Activities of Living—0
LLM4Brain: Training a Large Language Model for Brain Video Understanding—0
LLMs Meet Long Video: Advancing Long Video Question Answering with An Interactive Visual Adapter in LLMs—0
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