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 531–540 of 1149 papers

TitleStatusHype
IPAD: Industrial Process Anomaly Detection Dataset—0
From Image to Video, what do we need in multimodal LLMs?—0
Leveraging Temporal Contextualization for Video Action RecognitionCode2
Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight DetectionCode1
In My Perspective, In My Hands: Accurate Egocentric 2D Hand Pose and Action RecognitionCode0
Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event AnalysisCode1
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention—0
A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos—0
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video UnderstandingCode3
SportsHHI: A Dataset for Human-Human Interaction Detection in Sports VideosCode1
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