114 citations · 365 across the 15 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CV2018★ 25 cited
S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact Reduction
Bolun Zheng, Rui Sun, Xiang Tian +1
Recent studies have used deep residual convolutional neural networks (CNNs) for JPEG compression artifact reduction. This study proposes a scalable CNN called S-Net. Our approach e…
cs.CV2018★ 110 cited
Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction
Bolun Zheng, Yaowu Chen, Xiang Tian +2
Several dual-domain convolutional neural network-based methods show outstanding performance in reducing image compression artifacts. However, they suffer from handling color images…
cs.CV2018★ 3 cited
Sharp Attention Network via Adaptive Sampling for Person Re-identification
Chen Shen, Guo-Jun Qi, Rongxin Jiang +4
In this paper, we present novel sharp attention networks by adaptively sampling feature maps from convolutional neural networks (CNNs) for person re-identification (re-ID) problem.…