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Jianrui Cai - IEEE Xplore Author Profile
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Jianrui Cai

Publications
9
Citations
2,563
Publications by Year
20182022
Co-Authors:
Show All Co-Authors (111)
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Jianrui Cai

Affiliation

Department of Computing, The Hong Kong Polytechnic University, Hong Kong

Publication Topics

Biography

Jianrui Cai received the B.Sc. and M.Sc. degrees from the College of Computer Science and Electronic Engineering, Hunan University, and the Ph.D. degree from the Department of Computing, The Hong Kong Polytechnic University. His research interests include image processing, computational photography, and computer vision.(Based on document published on 20 January 2021).
Publications
9
Citations
2,563
Publications by Year
20182022
Co-Authors:
Show All Co-Authors (111)
Author's Published Works

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Learning Image-Adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-Time

Hui Zeng;Jianrui Cai;Lida Li;Zisheng Cao;Lei Zhang

IEEE Transactions on Pattern Analysis and Machine Intelligence
Year: 2022 | Volume: 44, Issue: 4 | Journal Article |
Cited by: Papers (123)
Recent years have witnessed the increasing popularity of learning based methods to enhance the color and tone of photos. However, many existing photo enhancement methods either deliver unsatisfactory results or consume too much computational and memory resources, hindering their application to high-resolution images (usually with more than 12 megapixels) in practice. In this paper, we learn image-...Show More

Learning Image-Adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-Time

Hui Zeng;Jianrui Cai;Lida Li;Zisheng Cao;Lei Zhang

Year: 2022 | Volume: 44, Issue: 4 | Journal Article |

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning

Zhetong Liang;Jianrui Cai;Zisheng Cao;Lei Zhang

IEEE Transactions on Image Processing
Year: 2021 | Volume: 30 | Journal Article |
Cited by: Papers (40)
Traditional image signal processing (ISP) pipeline consists of a set of cascaded image processing modules onboard a camera to reconstruct a high-quality sRGB image from the sensor raw data. Recently, some methods have been proposed to learn a convolutional neural network (CNN) to improve the performance of traditional ISP. However, in these works usually a CNN is directly trained to accomplish the...Show More

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning

Zhetong Liang;Jianrui Cai;Zisheng Cao;Lei Zhang

Year: 2021 | Volume: 30 | Journal Article |

Dark and Bright Channel Prior Embedded Network for Dynamic Scene Deblurring

Jianrui Cai;Wangmeng Zuo;Lei Zhang

IEEE Transactions on Image Processing
Year: 2020 | Volume: 29 | Journal Article |
Cited by: Papers (65)
Recent years have witnessed the significant progress on convolutional neural networks (CNNs) in dynamic scene deblurring. While most of the CNN models are generally learned by the reconstruction loss defined on training data, incorporating suitable image priors as well as regularization terms into the network architecture could boost the deblurring performance. In this work, we propose a Dark and ...Show More

Dark and Bright Channel Prior Embedded Network for Dynamic Scene Deblurring

Jianrui Cai;Wangmeng Zuo;Lei Zhang

Year: 2020 | Volume: 29 | Journal Article |

Learning a Single Tucker Decomposition Network for Lossy Image Compression With Multiple Bits-per-Pixel Rates

Jianrui Cai;Zisheng Cao;Lei Zhang

IEEE Transactions on Image Processing
Year: 2020 | Volume: 29 | Journal Article |
Cited by: Papers (27)
Lossy image compression (LIC), which aims to utilize inexact approximations to represent an image more compactly, is a classical problem in image processing. Recently, deep convolutional neural networks (CNNs) have achieved interesting results in LIC by learning an encoder-quantizer-decoder network from a large amount of data. However, existing CNN-based LIC methods generally train a network for a...Show More

Learning a Single Tucker Decomposition Network for Lossy Image Compression With Multiple Bits-per-Pixel Rates

Jianrui Cai;Zisheng Cao;Lei Zhang

Year: 2020 | Volume: 29 | Journal Article |

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)
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

Year: 2019 | Conference Paper |

Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model

Jianrui Cai;Hui Zeng;Hongwei Yong;Zisheng Cao;Lei Zhang

2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Year: 2019 | Conference Paper |
Cited by: Papers (308)
Most of the existing learning-based single image super-resolution (SISR) methods are trained and evaluated on simulated datasets, where the low-resolution (LR) images are generated by applying a simple and uniform degradation (i.e., bicubic downsampling) to their high-resolution (HR) counterparts. However, the degradations in real-world LR images are far more complicated. As a consequence, the SIS...Show More

Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model

Jianrui Cai;Hui Zeng;Hongwei Yong;Zisheng Cao;Lei Zhang

Year: 2019 | Conference Paper |

Second-Order Attention Network for Single Image Super-Resolution

Tao Dai;Jianrui Cai;Yongbing Zhang;Shu-Tao Xia;Lei Zhang

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2019 | Conference Paper |
Cited by: Papers (1202)
Recently, deep convolutional neural networks (CNNs) have been widely explored in single image super-resolution (SISR) and obtained remarkable performance. However, most of the existing CNN-based SISR methods mainly focus on wider or deeper architecture design, neglecting to explore the feature correlations of intermediate layers, hence hindering the representational power of CNNs. To address this ...Show More

Second-Order Attention Network for Single Image Super-Resolution

Tao Dai;Jianrui Cai;Yongbing Zhang;Shu-Tao Xia;Lei Zhang

Year: 2019 | Conference Paper |

Deep Image Compression with Iterative Non-Uniform Quantization

Jianrui Cai;Lei Zhang

2018 25th IEEE International Conference on Image Processing (ICIP)
Year: 2018 | Conference Paper |
Cited by: Papers (17)
Image compression, which aims to represent an image with less storage space, is a classical problem in image processing. Recently, by training an encoder-quantizer-decoder network, deep convolutional neural networks (CNNs) have achieved promising results in image compression. As a nondifferentiable part of the compression system, quantizer is hard to be updated during the network training. Most of...Show More

Deep Image Compression with Iterative Non-Uniform Quantization

Jianrui Cai;Lei Zhang

Year: 2018 | Conference Paper |

Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images

Jianrui Cai;Shuhang Gu;Lei Zhang

IEEE Transactions on Image Processing
Year: 2018 | Volume: 27, Issue: 4 | Journal Article |
Cited by: Papers (738)
Due to the poor lighting condition and limited dynamic range of digital imaging devices, the recorded images are often under-/over-exposed and with low contrast. Most of previous single image contrast enhancement (SICE) methods adjust the tone curve to correct the contrast of an input image. Those methods, however, often fail in revealing image details because of the limited information in a singl...Show More

Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images

Jianrui Cai;Shuhang Gu;Lei Zhang

Year: 2018 | Volume: 27, Issue: 4 | Journal Article |

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