Huazhu Fu

Senior Scientist
Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE
Email: hzfu[AT]ieee[DOT]org

[Recent News] - [Brief Bio] - [Projects] - [Publications]

Recent News:

• 2020-10: One paper for "COVID19 CT Screening" is accepted to IEEE JBHI.
• 2020-10: One paper for "Medical Image Retrieval" is accepted to MedIA.
• 2020-10: One paper for "Medical Image Segmentation" is accepted to MedIA.
• 2020-09: One paper for "DR Grading in Fundus" is accepted to IEEE TMI.
• 2020-07: One paper for "AGE Challenge Summary" is accepted to MedIA.
• 2020-07: One paper for "Fundus Image Enhancement" is accepted to ACM MM 2020.
• 2020-07: Six papers are accepted to MICCAI 2020.
• 2020-05: One paper for "COVID-19 CT segmentation" is accepted to IEEE TMI.
• 2020-04: We collect a paper list for COVID19 imaging-based AI research in Github. [Link]
• 2020-03: The REFUGE-2 challenge with the MICCAI 2020 is open for participation! [Link]
• 2020-03: I am nominated with honor to serve as an Associate Editor of the IEEE Transactions on Medical Imaging (TMI).
• 2020-02: Two papers are accepted to CVPR 2020.
• 2020-02: One paper for "Multi-modal GAN" is accepted to IEEE TMI.
• 2020-02: One paper for "Multi-view Learning" is accepted to IJCV.
• 2020-01: One paper for "Text co-detection" is accepted to IEEE TIP.
• 2020-01: I am nominated with honor to serve as an Associate Editor of the IEEE Journal of Biomedical and Health Informatics (JBHI).

Brief Bio:

I am the Senior Scientist with the Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE. I received the Ph.D. degree from Tianjin University, China, in 2013, and then worked as the research fellow at Nanyang Technological University (NTU), Singapore, for two years. From 2015 to 2018, I worked as a Research Scientist with the Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore.
My research interests include computer vision, machine learning, and medical image analysis.

Highlighted Projects:

• "COVID-19 Imaging-based AI Research Collection" HERE
• "Co-saliency detection" HERE
• "Glaucoma Screening in Fundus Image" HERE
• "Angle-Closure Detection in AS-OCT" HERE
• "DeepVessel: deep learning vessel segmentation" HERE
• "Video co-segmentation" HERE
• "Object-based RGBD segmentation" HERE

Selected Publications:

Full publications could be found in [Google Scholar] [DBLP]

Preprint:

• Wenguan Wang, Qiuxia Lai, Huazhu Fu, Jianbing Shen, Haibin Ling, and Ruigang Yang, "Salient Object Detection in the Deep Learning Era: An In-Depth Survey", in arXiv: 1904.09146, 2019. [Paper] [Project]
• Yuhui Ma, Huaying Hao, Huazhu Fu, Jiong Zhang, Jianlong Yang, Jiang Liu, Yalin Zheng, and Yitian Zhao, "ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model", in arXiv: 2007.05201, 2020. [Paper] [Code] [Data]
• Deng-Ping Fan,Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng, Huazhu Fu, and Jianbing Shen, "Re-thinking Co-Salient Object Detection", in arXiv: 2007.03380, 2020. [Paper] [Project]
• Ziyi Shen, Huazhu Fu, Jianbing Shen, and Ling Shao, "Modeling and Enhancing Low-quality Retinal Fundus Images", in arXiv: 2005.05594, 2020. [Paper] [Code]
• Yupeng Cheng, Felix Juefei-Xu, Qing Guo, Huazhu Fu, Xiaofei Xie, Shang-Wei Lin, Weisi Lin, Yang Liu, "Adversarial Exposure Attack on Diabetic Retinopathy Imagery", in arXiv: 2009.09231, 2020. [Paper]
• Chendi Rao, Jiezhang Cao, Runhao Zeng, Qi Chen, Huazhu Fu, Yanwu Xu, Mingkui Tan, "A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays", in arXiv: 2009.09231, 2020. [Paper]
• Jiansheng Fang, Huazhu Fu, Jiang Liu, "Deep Triplet Hashing Network for Case-based Medical Image Retrieval", Medical Image Analysis (MedIA), In press. [Paper]
• Lei Mou, Yitian Zhao, Huazhu Fu, Yonghuai Liu, Jun Cheng, Yalin Zheng, Pan Su, Jianlong Yang, Li Chen, Alejandro F Frangi, Masahiro Akiba, Jiang Liu, "CS^2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging", Medical Image Analysis (MedIA), In press. [Paper] [Code]
• Along He, Tao Li, Ning Li, Kai Wang, and, and Huazhu Fu, "CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading", IEEE Transactions on Medical Imaging (TMI), In press. [Paper] [Code]
• Chongyi Li, Runmin Cong, Sam Kwong, Junhui Hou, Huazhu Fu, Guopu Zhu, Dingwen Zhang, and Qingming Huang, "ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D Salient Object Detection", IEEE Transactions on Cybernetics (TCyb), In press. [Paper] [Code]
• Xuelin Qian, Huazhu Fu, Weiya Shi, Tao Chen, Yanwei Fu, Fei Shan, Xiangyang Xue, "M^3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging", IEEE Journal of Biomedical and Health Informatics (JBHI), In press. [Paper]

2020:

• Changqing Zhang*, Huazhu Fu*, Qinghua Hu, Xiaochun Cao, Yuan Xie, Dacheng Tao, and Dong Xu, "Generalized Latent Multi-view Subspace Clustering", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 42, no. 1, pp. 86-99, 2020. (*equal contribution) [Paper] "ESI Highly Cited Paper", "ESI Hot Paper"
• Changqing Zhang, Huazhu Fu, Jing Wang, Qinghua Hu, Xiaochun Cao, and Wen Li, "Tensorized Multi-View Subspace Representation Learning", International Journal of Computer Vision (IJCV), vol. 128, no. 8-9, pp. 2344-2361, 2020. [Paper]
• Tianyang Zhang, Jun Cheng, Huazhu Fu, Zaiwang Gu, Yuting Xiao, Kang Zhou, Shenghua Gao, Rui Zheng, and Jiang Liu, "Noise Adaptation Generative Adversarial Network for Medical Image Analysis", IEEE Transactions on Medical Imaging (TMI), vol. 39, no. 4, pp. 1149-1159, 2020. [Paper]
• Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, and Ling Shao, "Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images", IEEE Transactions on Medical Imaging (TMI), vol. 39, no. 8, pp. 2626-2637, 2020. [Paper] [Code]
• Tao Zhou, Huazhu Fu, Jianbing Shen, Geng Chen, and Ling Shao, "Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis", IEEE Transactions on Medical Imaging (TMI), vol. 39, no. 9, pp. 2772-2781, 2020. [Paper] [Code]
• Huazhu Fu, Fei Li, Xu Sun, and et.al., "AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography", Medical Image Analysis (MedIA), vol. 66, pp. 101798, 2020. [Paper] [Challenge Link]
• José Ignacio Orlando, Huazhu Fu, João Barbossa Breda, and et.al., "REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs", Medical Image Analysis (MedIA), vol. 59, pp. 101570, 2020. [Paper] [Challenge Link]
• Chuan Wang, Huazhu Fu, Liang Yang, and Xiaochun Cao, "Text Co-detection in Multi-view Scene", IEEE Transactions on Image Processing (TIP), vol. 29, no. 1, pp. 4627-4642, 2020. [Paper]
• Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Mani Baskaran, Meenakshi Mahesh, Tin Aung, and Jiang Liu, "Angle-Closure Detection in Anterior Segment OCT Based on Multilevel Deep Network", IEEE Transactions on Cybernetics (TCyb), vol. 50, no. 7, pp. 3358-3366, 2020. [Paper]
• Changqing Zhang, Ziwei Yu, Huazhu Fu, Pengfei Zhu, Lei Chen, and Qinghua Hu, "Hybrid Noise-Oriented Multilabel Learning", IEEE Transactions on Cybernetics (TCyb), vol. 50, no. 6, pp. 2837-2850, 2020. [Paper]
• Runmin Cong, Jianjun Lei, Huazhu Fu, Junhui Hou, Qingming Huang, and Sam Kwong, "Going From RGB to RGBD Saliency: A Depth-Guided Transformation Model", IEEE Transactions on Cybernetics (TCyb), vol. 50, no. 8, pp. 3627-3639, 2020. [Paper] [Code]
• Tao Zhou, Huazhu Fu, Chen Gong, Jianbing Shen, Ling Shao, and Fatih Porikli, "Multi-mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 10277-10286. [Paper]
• Deng-Ping Fan, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Huazhu Fu, and Ming-Ming Cheng, "Taking a Deeper Look at the Co-salient Object Detection", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 2919-2929. [Paper] [Chinese version] [Project]
• Chongyi Li, Huazhu Fu, Runmin Cong, Zechao Li, Qianqian Xu, "NuI-Go: Recursive Non-local EncoderDecoder Network for Retinal Image Non-uniform Illumination Removal", in ACM International Conference on Multimedia (MM), 2020. [Paper]
• Jinkui Hao, Huazhu Fu, Yanwu Xu, Yan Hu, Fei Li, Xiulan Zhang, Jiang Liu, and Yitian Zhao, "Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020. [Paper]
• Huaying Hao, Huazhu Fu, Yanwu Xu, Jianlong Yang, Fei Li, Xiulan Zhang, Jiang Liu, and Yitian Zhao, "Open-Narrow-Synechiae Anterior Chamber Angle Classification in AS-OCT Sequences", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020. [Paper]
• Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, and Ling Shao, "M^2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020. [Paper]
• Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, and Ling Shao, "PraNet: Parallel Reverse Attention Network for Polyp Segmentation", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020. [Paper] [Chinese version] [Video] [Slide] [Code]
• Shihao Zhang, Huazhu Fu, Yanwu Xu, Yanxia Liu, and Mingkui Tan, "Structure-Texture Decomposition Network: Reducing Texture Influence Improves Accuracy", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020. [Paper]
• Lei Zhu, Rongzhen Chen, Huazhu Fu, Cong Xie, Liansheng Wang, Liang Wan, and Pheng-Ann Heng, "A Second-order Subregion Pooling Network for Breast Ultrasound Lesion Segmentation", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020. [Paper]

2019:

• Huazhu Fu, Mani Baskaran, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Jiang Liu, Tin A. Tun, Meenakshi Mahesh, Shamira A. Perera, and Tin Aung, "A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images", American Journal of Ophthalmology (AJO), vol. 203, pp. 37-45, 2019. [Paper]
• Zaiwang Gu, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao, and Jiang Liu, "CE-Net: Context Encoder Network for 2D Medical Image Segmentation", IEEE Transactions on Medical Imaging (TMI), vol. 38, no. 10, pp. 2281-2292, 2019. [Paper] [Code] "ESI Highly Cited Paper"
• Zhiqiang Tao, Hongfu Liu, Huazhu Fu, and Yun Fu, "Multi-View Saliency-Guided Clustering for Image Cosegmentation", IEEE Transactions on Image Processing (TIP), vol. 28, no. 9, pp. 4634-4645, 2019. [Paper]
• Runmin Cong, Jianjun Lei, Huazhu Fu, Fatih Porikli, Qingming Huang, and Chunping Hou, "Video Saliency Detection via Sparsity-based Reconstruction and Propagation", IEEE Transactions on Image Processing (TIP), vol. 28, no. 10, pp. 4819-4831, 2019. [Paper] [Code]
• Chunle Guo, Chongyi Li, Jichang Guo, Runmin Cong, Huazhu Fu, and Ping Han, "Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution", IEEE Transactions on Image Processing (TIP), vol. 28, no. 5, pp. 2545-2557, 2019. [Paper] [Code]
• Runmin Cong, Jianjun Lei, Huazhu Fu, Weisi Lin, Qingming Huang, Xiaochun Cao, and Chunping Hou, "An Iterative Co-saliency Detection Framework for RGBD Images", IEEE Transactions on Cybernetics (TCyb), vol. 49, no. 1, pp. 233-246, 2019. [Paper] [Result]
• Changqing Zhang, Zongbo Han, Yajie Cui, Huazhu Fu, Joey Tianyi Zhou, and Qinghua Hu, "CPM-Nets: Cross Partial Multi-View Networks", in Neural Information Processing Systems (NeurIPS), 2019. (Spotlight, ~ 2.4%) [Paper] [Code]
• Changqing Zhang, Yeqing Liu, and Huazhu Fu, "AE^2-Nets: Autoencoder in Autoencoder Networks", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (Oral, ~ 5.6%) [Paper] [Code]
• Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, and Qinghua Hu, "Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering", in IEEE International Conference in Computer Vision (ICCV), 2019. [Paper]
• Jimmy Lee, Peng Liu, Jun Cheng, and Huazhu Fu, "A Deep Step Pattern Representation for Multimodal Retinal Image Registration", in IEEE International Conference in Computer Vision (ICCV), 2019. [Paper]
• Huazhu Fu, Boyang Wang, Jianbing Shen, Shanshan Cui, Yanwu Xu, Jiang Liu, and Ling Shao, "Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019. [Paper] [Dataset and Code]
• Zhijie Zhang, Huazhu Fu, Hang Dai, Jianbing Shen, Yanwei Pang, and Ling Shao, "ET-Net: A Generic Edge-Attention Guidance Network for Medical Image Segmentation", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019. [Paper]
• Tianyang Zhang, Huazhu Fu, Yitian Zhao, Jun Cheng, Mengjie Guo, Zaiwang Gu, Bing Yang, Yuting Xiao, Shenghua Gao, and Jiang Liu, "SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019. [Paper]
• Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, and Yanwu Xu, "Attention Guided Network for Retinal Image Segmentation", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019. [Paper] [Code]
• Lixi Deng, Sheng Tang, Huazhu Fu, Bin Wang, and Yongdong Zhang, "Spatiotemporal Breast Mass Detection Network (MD-Net) in 4D DCE-MRI Images", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019. [Paper]
• Tao Zhou, Mingxia Liu, Huazhu Fu, Jun Wang, Jianbing Shen, Ling Shao, and Dinggang Shen, "Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019. [Paper]
• Tao Zhou, Kim Han Thung, Yu Zhang, Huazhu Fu, Jianbing Shen, Dinggang Shen, and Ling Shao, "Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019. [Paper]

2018:

• Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, and Xiaochun Cao, "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation", IEEE Transactions on Medical Imaging (TMI), vol. 37, no. 7, pp. 1597-1605, 2018. [Paper] [Project] [Code] "ESI Highly Cited Paper"
• Huazhu Fu, Jun Cheng, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, and Xiaochun Cao, "Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image", IEEE Transactions on Medical Imaging (TMI), vol. 37, no. 11, pp. 2493-2501, 2018. [Paper] [Project] [Code]
• Jun Cheng, Zhengguo Li, Zaiwang Gu, Huazhu Fu, Damon Wing Kee Wong, and Jiang Liu, "Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis", IEEE Transactions on Medical Imaging (TMI), vol. 37, no. 11, pp. 2536-2546, 2018. [Paper] [Code]
• Runmin Cong, Jianjun Lei, Huazhu Fu, Qingming Huang, Xiaochun Cao, and Chunping Hou, "Co-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation", IEEE Transactions on Image Processing (TIP), vol. 27, no. 2, pp. 568-579, 2018. [Paper] [Project]
• Hongyuan Zhu, Romain Vial, Shijian Lu, Xi Peng, Huazhu Fu, Yonghong Tian, and Xianbin Cao, "YoTube: Searching Action Proposal via Recurrent and Static Regression Networks", IEEE Transactions on Image Processing (TIP), vol. 27, no. 6, pp. 2609-2622, 2018. [Paper] "ESI Highly Cited Paper"
• Dingwen Zhang, Huazhu Fu, Junwei Han, Ali Borji, and Xuelong Li, "A Review of Co-saliency Detection Algorithms: Fundamentals, Applications, and Challenges", ACM Transactions on Intelligent Systems and Technology (TIST), vol. 9, no. 4, pp. 1-31, 2018. [Paper] "ESI Highly Cited Paper"
• Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Baskaran Mani, Meenakshi Mahesh, Tin Aung, and Jiang Liu, "Multi-Context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018. [Paper]

2017:

• Huazhu Fu, Yanwu Xu, Stephen Lin, Xiaoqin Zhang, Damon Wing Kee Wong, Jiang Liu, Alejandro F. Frangi, Mani Baskaran, and Tin Aung, "Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCT", IEEE Transactions on Medical Imaging (TMI), vol. 36, no. 9, pp. 1930-1938, 2017. [Paper] [Project]
• Huazhu Fu, Dong Xu, and Stephen Lin, "Object-based Multiple Foreground Segmentation in RGBD Video", IEEE Transactions on Image Processing (TIP), vol. 26, no. 3, pp. 1418-1427, 2017. [Paper] [Project]
• Changqing Zhang, Huazhu Fu, Qinghua Hu, Pengfei Zhu, and Xiaochun Cao, "Flexible Multi-view Dimensionality co-Reduction", IEEE Transactions on Image Processing (TIP), vol. 26, no. 2, pp. 648-659, 2017. [Paper] [Code] [Data]
• Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu, and Xiaochun Cao, "Latent Multi-view Subspace Clustering", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. (Spotlight, ~ 8%) [Paper] [Code] [Data]

2016:

• Xiaochun Cao, Changqing Zhang, Huazhu Fu, Xiaojie Guo, and Qi Tian, "Saliency-aware Nonparametric Foreground Annotation based on Weakly Labeled Data", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 27, no. 6, pp. 1253-1265, 2016. [Paper]
• Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, and Jiang Liu, "DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016. [Paper] [Project]
• Yanwu Xu, Lixin Duan, Huazhu Fu, Damon Wing Kee Wong, Baskaran Mani, Tin Aung, and Jiang Liu, "Axial Alignment for Anterior Segment Swept Source Optical Coherence Tomography via Robust Low-rank Tensor Recovery", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016. [Paper]

2015:

• Huazhu Fu, Dong Xu, Bao Zhang, Stephen Lin, and Rabab K. Ward, "Object-based Multiple Foreground Video Co-segmentation via Multi-state Selection Graph", IEEE Transactions on Image Processing (TIP), vol. 24, no. 11, pp. 3415-3424, 2015. [Paper] [Project] [Code]
• Xiaochun Cao, Changqing Zhang, Chengju Zhou, Huazhu Fu, and Hassan Foroosh, "Constrained Multi-View Video Face Clustering", IEEE Transactions on Image Processing (TIP), vol. 24, no. 11, pp. 4381-4393, 2015. [Paper] [Project] [Code]
• Huazhu Fu, Dong Xu, Stephen Lin, and Jiang Liu, "Object-based RGBD Image Co-segmentation with Mutex Constraint", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [Paper] [Project]
• Xiaochun Cao, Changqing Zhang, Huazhu Fu, Si Liu, and Hua Zhang, "Diversity-induced Multiview Subspace Clustering", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [Paper] [Code] [Data]
• Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu, and Xiaochun Cao, "Low-Rank Tensor Constrained Multiview Subspace Clustering", in IEEE International Conference on Computer Vision (ICCV), 2015. [Paper] [Code] [Data]

Before 2015:

• Huazhu Fu, Xiaochun Cao, Zhuowen Tu, and Dongdai Lin, "Symmetry Constraint for Foreground Extraction", IEEE Transactions on Cybernetics (TCyb), vol. 44, no. 5, pp. 644-654, 2014. [Paper]
• Xiaochun Cao, Zhiqiang Tao, Bao Zhang, Huazhu Fu, and Wei Feng, "Self-adaptively Weighted Co-saliency Detection via Rank Constraint", IEEE Transactions on Image Processing (TIP), vol. 23, no. 9, pp. 4175-4186, 2014. [Paper] [Code]
• Huazhu Fu, Dong Xu, Bao Zhang, and Stephen Lin, "Object-based Multiple Foreground Video Co-segmentation", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. [Paper]
• Huazhu Fu, Xiaochun Cao, and Zhuowen Tu, "Cluster-based Co-saliency Detection", IEEE Transactions on Image Processing (TIP), vol. 22, no. 10, pp. 3766-3778, 2013. [Paper] [Code] "ESI Highly Cited Paper"
• Huazhu Fu, and Xiaochun Cao, "Forgery Authentication in Extreme Wide-angle Lens Using Distortion Cue and Fake Saliency Map", IEEE Transactions on Information Forensics and Security (TIFS), vol. 7, no. 4, pp. 1301-1314, 2012. [Paper]