Publications

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Preprints  |  2021  |  2020  |  2019  |  2018  |  2017  |  2016  |  2015  |  2014  |  2013

● Preprints

Continual Learning for Blind Image Quality Assessment
Weixia Zhang, Dingquan Li, Chao Ma, Guangtao Zhai, Xiaokang Yang, and Kede Ma
[arXiv]
Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment
Zhihua Wang and Kede Ma
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), to appear.
[arXiv]
Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition
Jiebin Yan, Yu Zhong, Yuming Fang, Zhangyang Wang, and Kede Ma
International Journal of Computer Vision (IJCV), to appear.
[arXiv] [GitHub]
Perceptual Quality Assessment of Omnidirectional Images as Moving Camera Videos
Xiangjie Sui, Kede Ma, Yiru Yao, and Yuming Fang
IEEE Transactions on Visualization and Computer Graphics (TVCG), to appear.
[arXiv] [GitHub]
Image Quality Assessment: Unifying Structure and Texture Similarity
Keyan Ding, Kede Ma, Shiqi Wang, and Eero P. Simoncelli
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), to appear.
[arXiv] [GitHub]

● 2021

Debiased Subjective Assessment of Real-World Image Enhancement
Peibei Cao, Zhangyang Wang, and Kede Ma
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[pdf]
Troubleshooting Blind Image Quality Models in the Wild
Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, and Kede Ma
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[pdf]
Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild
Weixia Zhang, Kede Ma, Guangtao Zhai, and Xiaokang Yang
IEEE Transactions on Image Processing (TIP), vol. 30, pp. 3474-3486, 2021.
[arXiv] [GitHub]
Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems
Keyan Ding, Kede Ma, Shiqi Wang, and Eero P. Simoncelli
International Journal of Computer Vision (IJCV), vol. 129, no. 4, pp. 1258-1281, 2021.
[arXiv] [GitHub]

● 2020

Learning to Blindly Assess Image Quality in the Laboratory and Wild
Weixia Zhang, Kede Ma, Guangtao Zhai, and Xiaokang Yang
IEEE International Conference on Image Processing (ICIP), 2020.
[arXiv] [GitHub]
Characterizing Generalized Rate-Distortion Performance of Video Coding: An Eigen Analysis Approach
Zhengfang Duanmu*, Wentao Liu*, Zhuoran Li, Kede Ma, and Zhou Wang (*Equal contribution)
IEEE Transactions on Image Processing (TIP), vol. 29, pp. 6180-6193, 2020.
[arXiv]
Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression
Mu Li, Kede Ma, Jane You, David Zhang, and Wangmeng Zuo
IEEE Transactions on Image Processing (TIP), vol. 29, pp. 5900-5911, 2020.
[arXiv] [GitHub]
Fast Multi-Scale Structural Patch Decomposition for Multi-Exposure Image Fusion
Hui Li, Kede Ma, Hongwei Yong, and Lei Zhang
IEEE Transactions on Image Processing (TIP), vol. 29, pp. 5805-5816, 2020.
[pdf] [GitHub]
Perceptual Quality Assessment of Smartphone Photography
Yuming Fang, Hanwei Zhu, Yan Zeng, Kede Ma, and Zhou Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[pdf] [GitHub]
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively
Haotao Wang, Tianlong Chen, Zhangyang Wang, and Kede Ma
International Conference on Learning Representations (ICLR), 2020.
[open review] [GitHub]
Deep Guided Learning for Fast Multi-Exposure Image Fusion
Kede Ma, Zhengfang Duanmu, Hanwei Zhu, Yuming Fang, and Zhou Wang
IEEE Transactions on Image Processing (TIP), vol. 29, pp. 2808-2819, 2020.
[pdf] [GitHub]
Perceptual Evaluation for Multi-Exposure Image Fusion of Dynamic Scenes
Yuming Fang, Hanwei Zhu, Kede Ma, Zhou Wang, and Shutao Li
IEEE Transactions on Image Processing (TIP), vol. 29, pp. 1127-1138, 2020.
[pdf] [GitHub]
Group Maximum Differentiation Competition: Model Comparison with Few Samples
Kede Ma, Zhengfang Duanmu, Zhou Wang, Qingbo Wu, Wentao Liu, Hongwei Yong, Hongliang Li, and Lei Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 42, no. 4, pp. 851-864, Apr. 2020.
[pdf] [project page]
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
Weixia Zhang, Kede Ma, Jia Yan, Dexiang Deng, and Zhou Wang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 30, no. 1, pp. 36-47, Jan. 2020.
[arXiv] [GitHub]

● 2019

Blind Image Quality Assessment by Learning from Multiple Annotators
Kede Ma, Xuelin Liu, Yuming Fang, and Eero P. Simoncelli
IEEE International Conference on Image Processing (ICIP), 2019.
[pdf]
Intrinsic Image Popularity Assessment
Keyan Ding, Kede Ma, and Shiqi Wang
ACM Multimedia (MM), 2019.
[arXiv] [GitHub]

● 2018

Quality-of-Experience for Adaptive Streaming Videos: An Expectation Confirmation Theory Motivated Approach
Zhengfang Duanmu, Kede Ma, and Zhou Wang
IEEE Transactions on Image Processing (TIP), vol. 27, no. 12, pp. 6135-6146, Dec. 2018.
[pdf]
Deep Blur Mapping: Exploiting High-Level Semantics by Deep Neural Networks
Kede Ma, Huan Fu, Tongliang Liu, Zhou Wang, and Dacheng Tao
IEEE Transactions on Image Processing (TIP), vol. 27, no. 10, pp. 5155-5166, Oct. 2018.
[arXiv] [Caffe code]
Blind Image Quality Assessment Using Local Consistency Aware Retriever and Uncertainty Aware Evaluator
Qingbo Wu, Hongliang Li, King N. Ngan, and Kede Ma
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 28, no. 9, pp. 2078-2089, Sep. 2018.
[pdf]
Multi-Exposure Image Fusion by Optimizing A Structural Similarity Index
Kede Ma, Zhengfang Duanmu, Hojatollah Yeganeh, and Zhou Wang
IEEE Transactions on Computational Imaging (TCI), vol. 4, no. 1, pp. 60-72, Mar. 2018.
[pdf] [Matlab code] [data set]
End-to-End Blind Image Quality Assessment Using Deep Neural Networks
Kede Ma, Wentao Liu, Kai Zhang, Zhengfang Duanmu, Zhou Wang, and Wangmeng Zuo
IEEE Transactions on Image Processing (TIP), vol. 27, no. 3, pp. 1202-1213, Mar. 2018.
[pdf] [project page]
Geometric Transformation Invariant Image Quality Assessment Using Convolutional Neural Networks
Kede Ma, Zhengfang Duanmu, and Zhou Wang
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018.
[pdf] [Tensorflow code]
A Hybrid Quality Metric for Non-Integer Image Interpolation
Jinling Chen, Yiwen Xu, Kede Ma, Huiwen Huang, and Tiesong Zhao
Tenth International Conference on Quality of Multimedia Experience (QoMEX), 2018.
[pdf]

● 2017

Blind Image Quality Assessment: Exploiting New Evaluation and Design Methodologies
Kede Ma
University of Waterloo, 2017. (Finalist for the Governor General’s Gold Medal)
[link]
Advisor: Prof. Zhou Wang
Unified Blind Quality Assessment of Compressed Natural, Graphic, and Screen Content Images
Xiongkuo Min, Kede Ma, Ke Gu, Guangtao Zhai, Zhou Wang, and Weisi Lin
IEEE Transactions on Image Processing (TIP), vol. 26, no. 11, pp. 5462-5474, Nov. 2017.
[pdf] [project page]
dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs
Kede Ma, Wentao Liu, Tongliang Liu, Zhou Wang, and Dacheng Tao
IEEE Transactions on Image Processing (TIP), vol. 26, no. 8, pp. 3951-3964, Aug. 2017.
[arXiv] [Matlab code]
Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach
Kede Ma, Hui Li, Hongwei Yong, Zhou Wang, Deyu Meng, and Lei Zhang
IEEE Transactions on Image Processing (TIP), vol. 26, no. 5, pp. 2519-2532, May 2017.
[pdf] [sup] [Matlab code]
Perceptual Depth Quality in Distorted Stereoscopic Images
Jiheng Wang, Shiqi Wang, Kede Ma, and Zhou Wang
IEEE Transactions on Image Processing (TIP), vol. 26, no. 3, pp. 1202-1215, Mar. 2017.
[pdf] [project page]
Waterloo Exploration Database: New Challenges for Image Quality Assessment Models
Kede Ma, Zhengfang Duanmu, Qingbo Wu, Zhou Wang, Hongwei Yong, Hongliang Li, and Lei Zhang
IEEE Transactions on Image Processing (TIP), vol. 26, no. 2, pp. 1004-1016, Feb. 2017.
[pdf] [project page]
A Quality-of-Experience Index for Streaming Video
Zhengfang Duanmu, Kai Zeng, Kede Ma, Abdul Rehman, and Zhou Wang
IEEE Journal of Selected Topics in Signal Processing (JSTSP), vol. 11, no. 1, pp. 154-166, Feb. 2017.
[pdf] [project page]
Quality-of-Experience of Adaptive Video Streaming: Exploring the Space of Adaptations
Zhengfang Duanmu, Kede Ma, and Zhou Wang
ACM Multimedia (MM), 2017.
[pdf] [project page]
Perceptual Quality Assessment of HDR Deghosting Algorithms
Yuming Fang, Hanwei Zhu, Kede Ma, and Zhou Wang
IEEE International Conference on Image Processing (ICIP), 2017.
[pdf]

● 2016

Group MAD Competition − A New Methodology to Compare Objective Image Quality Models
Kede Ma, Qingbo Wu, Zhou Wang, Zhengfang Duanmu, Hongwei Yong, Hongliang Li, and Lei Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (Spotlight)
[pdf] [project page]

● 2015

A Patch-Structure Representation Method for Quality Assessment of Contrast Changed Images
Shiqi Wang, Kede Ma, Hojatollah Yeganeh, Zhou Wang, and Weisi Lin
IEEE Signal Processing Letters (SPL), vol. 22, no. 12, pp. 2387-2390, Dec. 2015.
[pdf] [Matlab code]
Objective Quality Assessment for Color-to-Gray Image Conversion
Kede Ma, Tiesong Zhao, Kai Zeng, and Zhou Wang
IEEE Transactions on Image Processing (TIP), vol. 24, no. 12, pp. 4673-4685, Dec. 2015.
[pdf] [Matlab code]
Perceptual Quality Assessment for Multi-Exposure Image Fusion
Kede Ma, Kai Zeng, and Zhou Wang
IEEE Transactions on Image Processing (TIP), vol. 24, no. 11, pp. 3345-3356, Nov. 2015.
[pdf] [Matlab code] [data set]
High Dynamic Range Image Compression by Optimizing Tone Mapped Image Quality Index
Kede Ma, Hojatollah Yeganeh, Kai Zeng, and Zhou Wang
IEEE Transactions on Image Processing (TIP), vol. 24, no. 10, pp. 3086-3097, Oct. 2015.
[pdf] [Matlab code] [data set](upon request)
No-Reference Quality Assessment of Contrast-Distorted Images Based on Natural Scene Statistics
Yuming Fang, Kede Ma, Zhou Wang, Weisi Lin, Zhijun Fang, and Guangtao Zhai
IEEE Signal Processing Letters (SPL), vol. 22, no. 7, pp. 838-842, Jul. 2015.
[pdf] [Matlab code]
Multi-Exposure Image Fusion: A Patch-wise Approach
Kede Ma and Zhou Wang
IEEE International Conference on Image Processing (ICIP), 2015. (Top 10% Award)
[pdf] [Matlab code]
Perceptual Evaluation of Single Image Dehazing Algorithms
Kede Ma, Wentao Liu, and Zhou Wang
IEEE International Conference on Image Processing (ICIP), 2015.
[pdf] [data set]

● 2014

Recursive Code Construction for Reversible Data Hiding in DCT Domain
Biao Chen Weiming Zhang, Kede Ma, and Nenghai Yu
Multimedia Tools and Applications, vol. 72, no. 2, pp. 1985-2009, Sep. 2014.
[pdf]
Reversibility Improved Data Hiding in Encrypted Images
Weiming Zhang, Kede Ma, and Nenghai Yu
Signal Processing, vol. 94, pp. 118-127, Jan. 2014.
[pdf]
Perceptual Evaluation of Multi-Exposure Image Fusion Algorithms
Kai Zeng, Kede Ma, Rania Hassen, and Zhou Wang
Sixth International Workshop on Quality of Multimedia Experience (QoMEX), 2014.
[pdf]
High Dynamic Range Image Tone Mapping by Optimizing Tone Mapped Image Quality Index
Kede Ma, Hojatollah Yeganeh, Kai Zeng, and Zhou Wang
IEEE International Conference on Multimedia and Expo (ICME), 2014. (Oral)
[pdf]

● 2013

Reversible Data Hiding in Encrypted Images by Reserving Room before Encryption
Kede Ma, Weiming Zhang, Xianfeng Zhao, Nenghai Yu, and Fenghua Li
IEEE Transactions on Information Forensics and Security (TIFS), vol. 8, no. 3, pp. 553-562, Mar. 2013.
[pdf] [Matlab code]
Last updated: Feb. 23, 2021.