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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 61–70 of 1149 papers

TitleStatusHype
Valley2: Exploring Multimodal Models with Scalable Vision-Language DesignCode3
Video Mamba Suite: State Space Model as a Versatile Alternative for Video UnderstandingCode3
Online Video Understanding: OVBench and VideoChat-OnlineCode2
One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object TrajectoryCode2
OmniVid: A Generative Framework for Universal Video UnderstandingCode2
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person PerspectivesCode2
Omni-Video: Democratizing Unified Video Understanding and GenerationCode2
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?Code2
Neptune: The Long Orbit to Benchmarking Long Video UnderstandingCode2
Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMsCode2
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