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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 1051–1060 of 1149 papers

Title	Date	Tasks	Status	Hype
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network	Jun 2, 2019	General ClassificationGraph Neural Network	—Unverified	0
Creative Flow+ Dataset	Jun 1, 2019	3D Character Animation From A Single PhotoDepth Estimation	CodeCode Available	0
Audio Caption in a Car Setting with a Sentence-Level Loss	May 31, 2019	Audio captioningDecoder	CodeCode Available	0
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures	May 30, 2019	Action ClassificationAction Recognition	CodeCode Available	0
Exploring Temporal Information for Improved Video Understanding	May 25, 2019	Action RecognitionOptical Flow Estimation	CodeCode Available	0
Representation Learning on Visual-Symbolic Graphs for Video Understanding	May 17, 2019	Action ClassificationAction Detection	—Unverified	0
Recurrent Space-time Graph Neural Networks	Apr 11, 2019	Action RecognitionHuman-Object Interaction Detection	CodeCode Available	0
Constructing Hierarchical Q&A Datasets for Video Story Understanding	Apr 1, 2019	Video Understanding	—Unverified	0
Wasserstein Dependency Measure for Representation Learning	Mar 28, 2019	Object Recognitionreinforcement-learning	—Unverified	0
4D Generic Video Object Proposals	Jan 26, 2019	Instance SegmentationObject	CodeCode Available	0

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