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
Flexible Frame Selection for Efficient Video Reasoning—0
FlexSelect: Flexible Token Selection for Efficient Long Video Understanding—0
FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering—0
Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions—0
Four Eyes Are Better Than Two: Harnessing the Collaborative Potential of Large Models via Differentiated Thinking and Complementary Ensembles—0
Frame-Voyager: Learning to Query Frames for Video Large Language Models—0
From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models—0
From Broadcast to Minimap: Achieving State-of-the-Art SoccerNet Game State Reconstruction—0
From Image to Video, what do we need in multimodal LLMs?—0
From Shots to Stories: LLM-Assisted Video Editing with Unified Language Representations—0
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