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20162024
most citedLow-resolution Face Recognition in the Wild via Selective Knowledge Distillation

218 citations · 367 across the 25 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 12 cited

Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition

Jialin Gao, Tong He, Xi Zhou +1

A collection of approaches based on graph convolutional networks have proven success in skeleton-based action recognition by exploring neighborhood information and dense dependenci…

cs.CV2019★ 1 cited

Aesthetic Attributes Assessment of Images

Xin Jin, Le Wu, Geng Zhao +6

Image aesthetic quality assessment has been a relatively hot topic during the last decade. Most recently, comments type assessment (aesthetic captions) has been proposed to describ…

cs.CV2019★ 31 cited

Domain Adaptive Attention Learning for Unsupervised Person Re-Identification

Yangru Huang, Peixi Peng, Yi Jin +3

Person re-identification (Re-ID) across multiple datasets is a challenging task due to two main reasons: the presence of large cross-dataset distinctions and the absence of annotat…

cs.CV2019★ 28 cited

Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency

Jia Li, Kui Fu, Shengwei Zhao +1

The performance of video saliency estimation techniques has achieved significant advances along with the rapid development of Convolutional Neural Networks (CNNs). However, devices…

cs.CV2019

Ultrafast Video Attention Prediction with Coupled Knowledge Distillation

Kui Fu, Peipei Shi, Yafei Song +3

Large convolutional neural network models have recently demonstrated impressive performance on video attention prediction. Conventionally, these models are with intensive computati…