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Structured Sequence Modeling with Graph Convolutional Recurrent Networks
This paper introduces Graph Convolutional Recurrent Network (GCRN), a deep learning model able to predict structured sequences of data. Precisely,...
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A Unified Framework for Multi-view Multi-class Object Pose Estimation
One[NOSPACE] Hager, Gregory [NOSPACE][SPACE]core challenge in object pose estimation is to ensure accurate and...
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Attentive Systems: A Survey
Visual saliency analysis detects salient regions/objects that attract human attention in natural scenes. It has attracted intensive research in...
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LSTM\(^{2}\): Multi-Label Ranking for Document Classification
Multi-label document classification is a typical challenge in many real-world applications. Multi-label ranking is a common approach, while existing...
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UnrealCV: Connecting Computer Vision to Unreal Engine
Computer graphics can not only generate synthetic images and ground truth but it also offers the possibility of constructing virtual worlds in which:...
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Multi-label Ranking with LSTM \(^2\) for Document Classification
Multi-label document classification is an important challenge with many real-world applications. While multi-label ranking is a common approach for...
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Generative Image Modeling Using Style and Structure Adversarial Networks
Current generative frameworks use end-to-end learning and generate images by sampling from uniform noise distribution. However, these approaches...
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Feature Learning and Deep Learning Architecture Survey
In this chapter we look at a wide range of feature learning architectures and deep learning architectures, which incorporate a range of feature...
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Sliding Shapes for 3D Object Detection in Depth Images
The depth information of RGB-D sensors has greatly simplified some common challenges in computer vision and enabled breakthroughs for several tasks....