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 721–730 of 1149 papers

TitleStatusHype
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
From Trial to Triumph: Advancing Long Video Understanding via Visual Context Sample Scaling and Self-reward Alignment—0
Fully Automated Hand Hygiene Monitoring\ Operating Room using 3D Convolutional Neural Network—0
Future semantic segmentation of time-lapsed videos with large temporal displacement—0
Gameplay Highlights Generation—0
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention—0
Generating the Future With Adversarial Transformers—0
Generating Videos with Scene Dynamics—0
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