activity
20162026
most citedLearning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation

4 citations · 4 across the 3 of their papers we have counts for

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Showing 2016Show all

2 papers · 1 filter

cs.CV2016

FVQA: Fact-based Visual Question Answering

Peng Wang, Qi Wu, Chunhua Shen +2

Visual Question Answering (VQA) has attracted a lot of attention in both Computer Vision and Natural Language Processing communities, not least because it offers insight into the r…

cs.CV2016

Pushing the Limits of Deep CNNs for Pedestrian Detection

Qichang Hu, Peng Wang, Chunhua Shen +2

Compared to other applications in computer vision, convolutional neural networks have under-performed on pedestrian detection. A breakthrough was made very recently by using sophis…