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 511–520 of 1149 papers

TitleStatusHype
PVChat: Personalized Video Chat with One-Shot Learning—0
Temporal Action Detection Model Compression by Progressive Block Drop—0
DocVideoQA: Towards Comprehensive Understanding of Document-Centric Videos through Question Answering—0
What can Off-the-Shelves Large Multi-Modal Models do for Dynamic Scene Graph Generation?—0
MASH-VLM: Mitigating Action-Scene Hallucination in Video-LLMs through Disentangled Spatial-Temporal Representations—0
FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding—0
SpaceVLLM: Endowing Multimodal Large Language Model with Spatio-Temporal Video Grounding Capability—0
Improving LLM Video Understanding with 16 Frames Per Second—0
Impossible Videos—0
Towards Scalable Modeling of Compressed Videos for Efficient Action Recognition—0
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