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 1091–1100 of 1149 papers

TitleStatusHype
Spatio-Temporal Context for Action Detection—0
Spatio-Temporal Crop Aggregation for Video Representation Learning—0
Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos—0
Spatio-Temporal Video Representation Learning for AI Based Video Playback Style Prediction—0
Speeding Up Action Recognition Using Dynamic Accumulation of Residuals in Compressed Domain—0
Spherical World-Locking for Audio-Visual Localization in Egocentric Videos—0
Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions—0
SPOT! Revisiting Video-Language Models for Event Understanding—0
Stacked Temporal Attention: Improving First-person Action Recognition by Emphasizing Discriminative Clips—0
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training—0
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