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Cuihua Li - IEEE Xplore Author Profile

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Author details

Cuihua Li

Also published under: Cui-Hua Li, Cui-hua Li

Publications

35

Citations

1,015

Publications by Year

20092024

Co-Authors:

Muneeb AadilNamhyuk AhnSun AnshunAditya AroraFurui Bai

Show All Co-Authors (279)

Cuihua Li

Also published under: Cui-Hua Li, Cui-hua Li

Affiliation

School of Informatics

Xiamen University

Xiamen, China

Publication Topics

Clustering Method,
Clustering Performance,
Clustering Results,
Joint Learning,
Multi-view Feature,
Self-supervised Learning,
Subspace Clustering,
Adjusted Rand Index,
Batch Normalization Layer,
Binary Clusters,
Binary Code,
Binary Method

Biography

Cuihua Li received the BS degree in computational mathematics from Shandong University, Jinan, China, in 1983, the MS degree in computational mathematics, and the PhD degree in automatic control theory and engineering from Xi’an Jiaotong University, Xi’an, China, in 1989 and 1999, respectively. Before 1999, he was an associate professor with the School of Science, Xi’an Jiaotong University. He is currently wth the Department of Computer Science, Xiamen University, Xiamen, China. His research interests include computer vision, video and image processing, and superresolution image reconstruction algorithms. He is a member of the editorial boards of both the Chinese Science Bulletin and Journal of Xiamen University Natural Science.(Based on document published on 14 February 2020).

Publications

35

Citations

1,015

Publications by Year

20092024

Co-Authors:

Muneeb Aadil
Namhyuk Ahn
Sun Anshun
Aditya Arora
Furui Bai

Show All Co-Authors (279)

Author's Published Works

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Showing 1-7 of 7 results

Conferences (7)

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Single Year
Rong Chen(7)
Cuihua Li(3)
Xiongbiao Luo(3)
Yanyun Qu(3)
Yinran Chen(3)
Department of Computer Science, Xiamen University, Xiamen, China(2)
Xiamen Universi, China(1)
BOE Technology Group Co., Ltd.(1)
Electrical and Computer Engineering, University of Alberta, Canada(1)
Satrec Initiative, R&D Center(1)
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(2)
2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)(1)
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(1)
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(1)
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)(1)
IEEE(7)
Salt Lake City, UT, USA(2)
Bordeaux, France(1)
Long Beach, CA, USA(1)
Mexico(1)
Nice, France(1)
Convolutional Neural Network(6)
Convolutional Layers(5)
Feature Maps(5)
Deep Convolutional Neural Network(3)
Deep Learning(3)

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Results

3D End-to-End Boundary-Aware Networks for Pancreas Segmentation

Ji Li;Yinran Chen;Rong Chen;Dongfang Shen;Xiongbiao Luo

2022 IEEE International Conference on Image Processing (ICIP)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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Accurate pancreas segmentation is crucial for computer aided pancreas diagnosis and surgery. It still remains challenging to precisely extract the pancreas due to its small size, unclear boundary, and shape variations on CT images. This work proposes a new 3D end-to-end boundary-aware network architecture for automatic accurate pancreas segmentation from CT images. Specifically, this architecture ...Show More

3D End-to-End Boundary-Aware Networks for Pancreas Segmentation

Ji Li;Yinran Chen;Rong Chen;Dongfang Shen;Xiongbiao Luo

2022 IEEE International Conference on Image Processing (ICIP)

Year: 2022 | Conference Paper |

Automatic Recognition of Ocular Surface Diseases on Smartphone Images Using Densely Connected Convolutional Networks

Rong Chen;Wankang Zeng;Wenkang Fan;Fang Lai;Yinran Chen;Xiang Lin;Liying Tang;Weijie Ouyang;Zuguo Liu;Xiongbiao Luo

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Year: 2021 | Conference Paper |

Cited by: Papers (7)

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Ocular surface disorder is one of common and prevalence eye diseases and complex to be recognized accurately. This work presents automatic classification of ocular surface disorders in accordance with densely connected convolutional networks and smartphone imaging. We use various smartphone cameras to collect clinical images that contain normal and abnormal, and modify end-to-end densely connected...Show More

Automatic Recognition of Ocular Surface Diseases on Smartphone Images Using Densely Connected Convolutional Networks

Rong Chen;Wankang Zeng;Wenkang Fan;Fang Lai;Yinran Chen;Xiang Lin;Liying Tang;Weijie Ouyang;Zuguo Liu;Xiongbiao Luo

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Year: 2021 | Conference Paper |

Accurate 3d Kidney Segmentation Using Unsupervised Domain Translation And Adversarial Networks

Wankang Zeng;Wenkang Fan;Rong Chen;Zhuohui Zheng;Song Zheng;Jianhui Chen;Rong Liu;Qiang Zeng;Zengqin Liu;Yinran Chen;Xiongbiao Luo

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)

Year: 2021 | Conference Paper |

Cited by: Papers (1)

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Computed tomography urography imaging is routinely performed to evaluate the kidneys. Kidney 3D segmentation and reconstruction from urographic images provides physicians with an intuitive visualization way to accurately diagnose and treat kidney diseases, particularly used in surgical planning and outcome analysis before and after kidney surgery. While 3D fully convolution networks have achieved ...Show More

Accurate 3d Kidney Segmentation Using Unsupervised Domain Translation And Adversarial Networks

Wankang Zeng;Wenkang Fan;Rong Chen;Zhuohui Zheng;Song Zheng;Jianhui Chen;Rong Liu;Qiang Zeng;Zengqin Liu;Yinran Chen;Xiongbiao Luo

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)

Year: 2021 | Conference Paper |

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results

Jianrui Cai;Shuhang Gu;Radu Timofte;Lei Zhang;Xiao Liu;Yukang Ding;Dongliang He;Chao Li;Yi Fu;Shilei Wen;Ruicheng Feng;Jinjin Gu;Yu Qiao;Chao Dong;Dongwon Park;Se Young Chun;Sanghoon Yoon;Junhyung Kwak;Donghee Son;Syed Waqas Zamir;Aditya Arora;Salman Khan;Fahad Shahbaz Khan;Ling Shao;Zhengping Wei;Lei Liu;Hong Cai;Darui Li;Fujie Gao;Zheng Hui;Xiumei Wang;Xinbo Gao;Guoan Cheng;Ai Matsune;Qiuyu Li;Leilei Zhu;Huaijuan Zang;Shu Zhan;Yajun Qiu;Ruxin wang;Jiawei Li;Yongcheng Jing;Mingli Song;Pengju Liu;Kai Zhang;Jingdong Liu;Jiye Liu;Hongzhi Zhang;Wangmeng Zuo;Wenyi Tang;Jing Liu;Youngjung Kim;Changyeop Shin;Minbeom Kim;Sungho Kim;Pablo Navarrete Michelini;Hanwen Liu;Dan Zhu;Xuan Xu;Xin Li;Furui Bai;Xiaopeng Sun;Lin Zha;Yuanfei Huang;Wen Lu;Yanpeng Cao;Du Chen;Zewei He;Sun Anshun;Siliang Tang;Hongfei Fan;Xiang Li;Guo Li;Wenjie Zhang;Yumei Zhang;Qingwen He;Jinghui Qin;Lishan Huang;Yukai Shi;Pengxu Wei;Wushao Wen;Liang Lin;Jun Yu;Guochen Xie;Mengyan Li;Rong Chen;Xiaotong Luo;Chen Hong;Yanyun Qu;Cuihua Li;Zhi-Song Liu;Li-Wen Wang;Chu-Tak Li;Can Zhao;Bowen Li;Chung-Chi Tsai;Shang-Chih Chuang;Joon-Hee Choi;Joonsoo Kim;Xiaoyun Jiang;Ze Pan;Qunbo Lv;Zheng Tan;Peidong He

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2019 | Conference Paper |

Cited by: Papers (43)

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This paper reviewed the 3rd NTIRE challenge on single-image super-resolution (restoration of rich details in a low-resolution image) with a focus on proposed solutions and results. The challenge had 1 track, which was aimed at the real-world single image super-resolution problem with an unknown scaling factor. Participants were mapping low-resolution images captured by a DSLR camera with a shorter...Show More

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results

Jianrui Cai;Shuhang Gu;Radu Timofte;Lei Zhang;Xiao Liu;Yukang Ding;Dongliang He;Chao Li;Yi Fu;Shilei Wen;Ruicheng Feng;Jinjin Gu;Yu Qiao;Chao Dong;Dongwon Park;Se Young Chun;Sanghoon Yoon;Junhyung Kwak;Donghee Son;Syed Waqas Zamir;Aditya Arora;Salman Khan;Fahad Shahbaz Khan;Ling Shao;Zhengping Wei;Lei Liu;Hong Cai;Darui Li;Fujie Gao;Zheng Hui;Xiumei Wang;Xinbo Gao;Guoan Cheng;Ai Matsune;Qiuyu Li;Leilei Zhu;Huaijuan Zang;Shu Zhan;Yajun Qiu;Ruxin wang;Jiawei Li;Yongcheng Jing;Mingli Song;Pengju Liu;Kai Zhang;Jingdong Liu;Jiye Liu;Hongzhi Zhang;Wangmeng Zuo;Wenyi Tang;Jing Liu;Youngjung Kim;Changyeop Shin;Minbeom Kim;Sungho Kim;Pablo Navarrete Michelini;Hanwen Liu;Dan Zhu;Xuan Xu;Xin Li;Furui Bai;Xiaopeng Sun;Lin Zha;Yuanfei Huang;Wen Lu;Yanpeng Cao;Du Chen;Zewei He;Sun Anshun;Siliang Tang;Hongfei Fan;Xiang Li;Guo Li;Wenjie Zhang;Yumei Zhang;Qingwen He;Jinghui Qin;Lishan Huang;Yukai Shi;Pengxu Wei;Wushao Wen;Liang Lin;Jun Yu;Guochen Xie;Mengyan Li;Rong Chen;Xiaotong Luo;Chen Hong;Yanyun Qu;Cuihua Li;Zhi-Song Liu;Li-Wen Wang;Chu-Tak Li;Can Zhao;Bowen Li;Chung-Chi Tsai;Shang-Chih Chuang;Joon-Hee Choi;Joonsoo Kim;Xiaoyun Jiang;Ze Pan;Qunbo Lv;Zheng Tan;Peidong He

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2019 | Conference Paper |

NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results

Radu Timofte;Shuhang Gu;Jiqing Wu;Luc Van Gool;Lei Zhang;Ming-Hsuan Yang;Muhammad Haris;Greg Shakhnarovich;Norimichi Ukita;Shijia Hu;Yijie Bei;Zheng Hui;Xiao Jiang;Yanan Gu;Jie Liu;Yifan Wang;Federico Perazzi;Brian McWilliams;Alexander Sorkine-Hornung;Olga Sorkine-Hornung;Christopher Schroers;Jiahui Yu;Yuchen Fan;Jianchao Yang;Ning Xu;Zhaowen Wang;Xinchao Wang;Thomas S. Huang;Xintao Wang;Ke Yu;Tak-Wai Hui;Chao Dong;Liang Lin;Chen Change Loy;Dongwon Park;Kwanyoung Kim;Se Young Chun;Kai Zhang;Pengjv Liu;Wangmeng Zuo;Shi Guo;Jiye Liu;Jinchang Xu;Yijiao Liu;Fengye Xiong;Yuan Dong;Hongliang Bai;Alexandru Damian;Nikhil Ravi;Sachit Menon;Cynthia Rudin;Junghoon Seo;Taegyun Jeon;Jamyoung Koo;Seunghyun Jeon;Soo Ye Kim;Jae-Seok Choi;Sehwan Ki;Soomin Seo;Hyeonjun Sim;Saehun Kim;Munchurl Kim;Rong Chen;Kun Zeng;Jinkang Guo;Yanyun Qu;Cuihua Li;Namhyuk Ahn;Byungkon Kang;Kyung-Ah Sohn;Yuan Yuan;Jiawei Zhang;Jiahao Pang;Xiangyu Xu;Yan Zhao;Wei Deng;Sibt Ul Hussain;Muneeb Aadil;Rafia Rahim;Xiaowang Cai;Fang Huang;Yueshu Xu;Pablo Navarrete Michelini;Dan Zhu;Hanwen Liu;Jun-Hyuk Kim;Jong-Seok Lee;Yiwen Huang;Ming Qiu;Liting Jing;Jiehang Zeng;Ying Wang;Manoj Sharma;Rudrabha Mukhopadhyay;Avinash Upadhyay;Sriharsha Koundinya;Ankit Shukla;Santanu Chaudhury;Zhe Zhang;Yu Hen Hu;Lingzhi Fu

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2018 | Conference Paper |

Cited by: Papers (183)

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This paper reviews the 2nd NTIRE challenge on single image super-resolution (restoration of rich details in a low resolution image) with focus on proposed solutions and results. The challenge had 4 tracks. Track 1 employed the standard bicubic downscaling setup, while Tracks 2, 3 and 4 had realistic unknown downgrading operators simulating camera image acquisition pipeline. The operators were lear...Show More

NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results

Radu Timofte;Shuhang Gu;Jiqing Wu;Luc Van Gool;Lei Zhang;Ming-Hsuan Yang;Muhammad Haris;Greg Shakhnarovich;Norimichi Ukita;Shijia Hu;Yijie Bei;Zheng Hui;Xiao Jiang;Yanan Gu;Jie Liu;Yifan Wang;Federico Perazzi;Brian McWilliams;Alexander Sorkine-Hornung;Olga Sorkine-Hornung;Christopher Schroers;Jiahui Yu;Yuchen Fan;Jianchao Yang;Ning Xu;Zhaowen Wang;Xinchao Wang;Thomas S. Huang;Xintao Wang;Ke Yu;Tak-Wai Hui;Chao Dong;Liang Lin;Chen Change Loy;Dongwon Park;Kwanyoung Kim;Se Young Chun;Kai Zhang;Pengjv Liu;Wangmeng Zuo;Shi Guo;Jiye Liu;Jinchang Xu;Yijiao Liu;Fengye Xiong;Yuan Dong;Hongliang Bai;Alexandru Damian;Nikhil Ravi;Sachit Menon;Cynthia Rudin;Junghoon Seo;Taegyun Jeon;Jamyoung Koo;Seunghyun Jeon;Soo Ye Kim;Jae-Seok Choi;Sehwan Ki;Soomin Seo;Hyeonjun Sim;Saehun Kim;Munchurl Kim;Rong Chen;Kun Zeng;Jinkang Guo;Yanyun Qu;Cuihua Li;Namhyuk Ahn;Byungkon Kang;Kyung-Ah Sohn;Yuan Yuan;Jiawei Zhang;Jiahao Pang;Xiangyu Xu;Yan Zhao;Wei Deng;Sibt Ul Hussain;Muneeb Aadil;Rafia Rahim;Xiaowang Cai;Fang Huang;Yueshu Xu;Pablo Navarrete Michelini;Dan Zhu;Hanwen Liu;Jun-Hyuk Kim;Jong-Seok Lee;Yiwen Huang;Ming Qiu;Liting Jing;Jiehang Zeng;Ying Wang;Manoj Sharma;Rudrabha Mukhopadhyay;Avinash Upadhyay;Sriharsha Koundinya;Ankit Shukla;Santanu Chaudhury;Zhe Zhang;Yu Hen Hu;Lingzhi Fu

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2018 | Conference Paper |

Persistent Memory Residual Network for Single Image Super Resolution

Rong Chen;Yanyun Qu;Kun Zeng;Jinkang Guo;Cuihua Li;Yuan Xie

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2018 | Conference Paper |

Cited by: Papers (13)

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Progresses has been witnessed in single image superresolution in which the low-resolution images are simulated by bicubic downsampling. However, for the complex image degradation in the wild such as downsampling, blurring, noises, and geometric deformation, the existing superresolution methods do not work well. Inspired by a persistent memory network which has been proven to be effective in image ...Show More

Persistent Memory Residual Network for Single Image Super Resolution

Rong Chen;Yanyun Qu;Kun Zeng;Jinkang Guo;Cuihua Li;Yuan Xie

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2018 | Conference Paper |

Research on color correction algorithm for mobile-end tongue images

Rong Chen;Jun-wei Xie;Cui-hua Li

2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

Year: 2017 | Conference Paper |

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Shadows and chromatic aberration problems are existed in the mobile tongue images, which result in tongue images obtained from the mobile devices cannot be directly used for auxiliary diagnosis. To better acquire the color features of the tongue images, we analyze the HIT tongue database and our mobile tongue dataset. Comparing to the HIT tongue database, we found insufficient exposure might be th...Show More

Research on color correction algorithm for mobile-end tongue images

Rong Chen;Jun-wei Xie;Cui-hua Li

2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

Year: 2017 | Conference Paper |

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