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Data-driven Meta-set Based Fine-Grained Visual Classification
Constructing fine-grained image datasets typically requires domain-speci...
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Spatiotemporal Co-attention Recurrent Neural Networks for Human-Skeleton Motion Prediction
Human motion prediction aims to generate future motions based on the obs...
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Region-Manipulated Fusion Networks for Pancreatitis Recognition
This work first attempts to automatically recognize pancreatitis on CT s...
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Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition
In this paper, we aim to address the problem of human interaction recogn...
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Deep Ordinal Hashing with Spatial Attention
Hashing has attracted increasing research attentions in recent years due...
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Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging
Image retagging aims to improve tag quality of social images by refining...
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Face Aging with Contextual Generative Adversarial Nets
Face aging, which renders aging faces for an input face, has attracted e...
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Personalized Age Progression with Bi-level Aging Dictionary Learning
Age progression is defined as aesthetically re-rendering the aging face ...
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Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition
Recently, Long Short-Term Memory (LSTM) has become a popular choice to m...
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Instance-Aware Hashing for Multi-Label Image Retrieval
Similarity-preserving hashing is a commonly used method for nearest neig...
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