192 citations · 198 across the 5 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019★ 1 cited
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition
Biao Qian, Yang Wang, Zhao Zhang +3
Deep convolutional neural networks have largely benefited computer vision tasks. However, the high computational complexity limits their real-world applications. To this end, many…
cs.CV2019★ 3 cited
Dual-reference Age Synthesis
Yuan Zhou, Bingzhang Hu, and Jun He +2
Age synthesis methods typically take a single image as input and use a specific number to control the age of the generated image. In this paper, we propose a novel framework taking…
cs.CV2019★ 192 cited
Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted Image
Jun Xu, Yuan Huang, Ming-Ming Cheng +4
Supervised deep networks have achieved promisingperformance on image denoising, by learning image priors andnoise statistics on plenty pairs of noisy and clean images. Unsupervised…