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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 341–350 of 1149 papers

TitleStatusHype
OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under OcclusionsCode0
ReWind: Understanding Long Videos with Instructed Learnable Memory—0
Beyond Training: Dynamic Token Merging for Zero-Shot Video Understanding—0
Principles of Visual Tokens for Efficient Video Understanding—0
Extending Video Masked Autoencoders to 128 frames—0
Teaching VLMs to Localize Specific Objects from In-context ExamplesCode1
VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation—0
Video-RAG: Visually-aligned Retrieval-Augmented Long Video ComprehensionCode3
AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction—0
DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding—0
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