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20002023
most citedJoint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation

842 citations

Showing cs.CVShow all

9 papers · 1 filter

cs.CV2023★ 10 cited

Seeing is not Believing: An Identity Hider for Human Vision Privacy Protection

Tao Wang, Yushu Zhang, Zixuan Yang +3

Massive captured face images are stored in the database for the identification of individuals. However, these images can be observed unintentionally by data managers, which is not…

cs.CV2020★ 19 cited

Fake Generated Painting Detection via Frequency Analysis

Yong Bai, Yuanfang Guo, Jinjie Wei +3

With the development of deep neural networks, digital fake paintings can be generated by various style transfer algorithms.To detect the fake generated paintings, we analyze the fa…

cs.CV2018★ 4 cited

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…

cs.CV2018★ 401 cited

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…

cs.CV2018★ 1 cited

Learning to Deblur Images with Exemplars

Jinshan Pan, Wenqi Ren, Zhe Hu +1

Human faces are one interesting object class with numerous applications. While significant progress has been made in the generic deblurring problem, existing methods are less effec…

cs.CV2018★ 842 cited

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…

cs.CV2017★ 31 cited

Benchmarking Single Image Dehazing and Beyond

Boyi Li, Wenqi Ren, Dengpan Fu +4

We present a comprehensive study and evaluation of existing single image dehazing algorithms, using a new large-scale benchmark consisting of both synthetic and real-world hazy ima…

cs.CV2016★ 74 cited

Makeup like a superstar: Deep Localized Makeup Transfer Network

Si Liu, Xinyu Ou, Ruihe Qian +2

In this paper, we propose a novel Deep Localized Makeup Transfer Network to automatically recommend the most suitable makeup for a female and synthesis the makeup on her face. Give…

cs.CV2016

Quadratic Projection Based Feature Extraction with Its Application to Biometric Recognition

Yan Yan, Hanzi Wang, Si Chen +2

This paper presents a novel quadratic projection based feature extraction framework, where a set of quadratic matrices is learned to distinguish each class from all other classes.…