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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 151–160 of 1149 papers

TitleStatusHype
M^3-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object SegmentationCode1
Self-supervised Learning of Echocardiographic Video Representations via Online Cluster DistillationCode1
CyberV: Cybernetics for Test-time Scaling in Video UnderstandingCode1
VideoCAD: A Large-Scale Video Dataset for Learning UI Interactions and 3D Reasoning from CAD SoftwareCode1
DisTime: Distribution-based Time Representation for Video Large Language ModelsCode1
SiLVR: A Simple Language-based Video Reasoning FrameworkCode1
PreFM: Online Audio-Visual Event Parsing via Predictive Future ModelingCode1
VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?Code1
VidText: Towards Comprehensive Evaluation for Video Text UnderstandingCode1
MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment GroundingCode1
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