348 citations · 795 across the 31 of their papers we have counts for
6 papers · 2 filters
HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images
Runmin Cong, Jianjun Lei, Huazhu Fu +3
Co-saliency detection aims to discover common and salient objects in an image group containing more than two relevant images. Moreover, depth information has been demonstrated to b…
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Xiaojun Jia, Xingxing Wei, Xiaochun Cao +1
Deep neural networks (DNNs) have been demonstrated to be vulnerable to adversarial examples. Specifically, adding imperceptible perturbations to clean images can fool the well trai…
Transferable Adversarial Attacks for Image and Video Object Detection
Xingxing Wei, Siyuan Liang, Ning Chen +1
Adversarial examples have been demonstrated to threaten many computer vision tasks including object detection. However, the existing attacking methods for object detection have two…
Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image
Huazhu Fu, Jun Cheng, Yanwu Xu +4
Glaucoma is a chronic eye disease that leads to irreversible vision loss. Most of the existing automatic screening methods firstly segment the main structure, and subsequently calc…
Gated Fusion Network for Single Image Dehazing
Wenqi Ren, Lin Ma, Jiawei Zhang +4
In this paper, we propose an efficient algorithm to directly restore a clear image from a hazy input. The proposed algorithm hinges on an end-to-end trainable neural network that c…
Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation
Huazhu Fu, Jun Cheng, Yanwu Xu +3
Glaucoma is a chronic eye disease that leads to irreversible vision loss. The cup to disc ratio (CDR) plays an important role in the screening and diagnosis of glaucoma. Thus, the…