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2020 – today
- 2025
[j117]Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong
, Huazhu Fu:
Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation. Pattern Recognit. 158: 110962 (2025)- [e8]Bhavna Josephine Antony, Hao Chen, Huihui Fang, Huazhu Fu, Cecilia S. Lee:
Ophthalmic Medical Image Analysis - 11th International Workshop, OMIA 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15188, Springer 2025, ISBN 978-3-031-73118-1 [contents] - 2024
- [j116]Liang Wan, Zhihao Chen, Yefan Xiao, Junting Zhao, Wei Feng, Huazhu Fu:
Iterative feedback-based models for image and video polyp segmentation. Comput. Biol. Medicine 177: 108569 (2024) - [j115]Junhao Lin, Lei Zhu, Jiaxing Shen, Huazhu Fu, Qing Zhang, Liansheng Wang:
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection. Int. J. Comput. Vis. 132(11): 5173-5191 (2024) - [j114]Zongbo Han, Tao Luo, Huazhu Fu, Qinghua Hu, Joey Tianyi Zhou, Changqing Zhang:
A principled framework for explainable multimodal disentanglement. Inf. Sci. 675: 120768 (2024) - [j113]Ke Zou, Tian Lin, Zongbo Han, Meng Wang, Xuedong Yuan, Haoyu Chen, Changqing Zhang, Xiaojing Shen, Huazhu Fu:
Confidence-aware multi-modality learning for eye disease screening. Medical Image Anal. 96: 103214 (2024) - [j112]Jiangbo Shi, Chen Li, Tieliang Gong, Huazhu Fu:
E2-MIL: An explainable and evidential multiple instance learning framework for whole slide image classification. Medical Image Anal. 97: 103294 (2024) - [j111]Qing Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Huazhu Fu, Lei Chen:
Stabilizing Multispectral Pedestrian Detection With Evidential Hybrid Fusion. IEEE Trans. Circuits Syst. Video Technol. 34(4): 3017-3029 (2024) - [j110]Yinglin Zhang, Ruiling Xi, Wei Wang, Heng Li, Lingxi Hu, Huiyan Lin, Dave Towey, Ruibin Bai, Huazhu Fu, Risa Higashita, Jiang Liu:
Low-Contrast Medical Image Segmentation via Transformer and Boundary Perception. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2297-2309 (2024) - [j109]Jicheng Liu, Hui Liu, Huazhu Fu, Yu Ye, Kun Chen, Yu Lu, Jianbo Mao, Ronald X. Xu, Mingzhai Sun:
Edge-Guided Contrastive Adaptation Network for Arteriovenous Nicking Classification Using Synthetic Data. IEEE Trans. Medical Imaging 43(3): 1237-1246 (2024) - [j108]Heng Li, Ziqin Lin, Zhongxi Qiu, Zinan Li, Ke Niu, Na Guo, Huazhu Fu, Yan Hu, Jiang Liu:
Enhancing and Adapting in the Clinic: Source-Free Unsupervised Domain Adaptation for Medical Image Enhancement. IEEE Trans. Medical Imaging 43(4): 1323-1336 (2024) - [j107]Along He, Tao Li, Juncheng Yan, Kai Wang, Huazhu Fu:
Bilateral Supervision Network for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 43(5): 1715-1726 (2024) - [j106]Yan Wang, Liangli Zhen, Tien-En Tan, Huazhu Fu, Yangqin Feng, Zizhou Wang, Xinxing Xu, Rick Siow Mong Goh, Yipin Ng, Claire Calhoun, Gavin Siew Wei Tan, Jennifer K. Sun, Yong Liu, Daniel Shu Wei Ting:
Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis. IEEE Trans. Medical Imaging 43(5): 1945-1957 (2024) - [j105]Wenjun Lin, Yan Hu, Huazhu Fu, Mingming Yang, Chin-Boon Chng, Ryo Kawasaki, Chee-Kong Chui, Jiang Liu:
Instrument-Tissue Interaction Detection Framework for Surgical Video Understanding. IEEE Trans. Medical Imaging 43(8): 2803-2813 (2024) - [j104]Geng Chen, Huazhu Fu, Tao Zhou, Guobao Xiao, Keren Fu, Yong Xia, Yanning Zhang:
Fusion-Embedding Siamese Network for Light Field Salient Object Detection. IEEE Trans. Multim. 26: 984-994 (2024) - [j103]Ming Li, Huazhu Fu, Shengfeng He, Hehe Fan, Jun Liu, Jussi Keppo, Mike Zheng Shou:
DR-FER: Discriminative and Robust Representation Learning for Facial Expression Recognition. IEEE Trans. Multim. 26: 6297-6309 (2024) - [j102]Yuntong Tian, Jiaxi Li, Huazhu Fu, Lei Zhu, Lequan Yu, Liang Wan:
Self-Mining the Confident Prototypes for Source-Free Unsupervised Domain Adaptation in Image Segmentation. IEEE Trans. Multim. 26: 7709-7720 (2024) - [j101]Changqing Zhang, Yu Geng, Zongbo Han, Yeqing Liu, Huazhu Fu, Qinghua Hu:
Autoencoder in Autoencoder Networks. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2263-2275 (2024) - [j100]Chun-Mei Feng, Yunlu Yan, Kai Yu, Yong Xu, Huazhu Fu, Jian Yang, Ling Shao:
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12251-12262 (2024) - [c132]Junde Wu, Wei Ji, Huazhu Fu, Min Xu, Yueming Jin, Yanwu Xu:
MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer. AAAI 2024: 6030-6038 - [c131]Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu:
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification. CVPR 2024: 11248-11258 - [c130]Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh:
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. CVPR 2024: 26223-26232 - [c129]Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao:
Self-Training Large Language and Vision Assistant for Medical Question Answering. EMNLP 2024: 20052-20060 - [c128]Huiyan Lin, Heng Li, Haojin Li, Xiangyang Yu, Kuai Yu, Chenhao Liang, Huazhu Fu, Jiang Liu:
Data Heterogeneity-Aware Personalized Federated Learning for Diagnosis. OMIA@MICCAI 2024: 53-62 - [c127]Meng Wang, Tian Lin, Ting Xu, Ke Zou, Haoyu Chen, Huazhu Fu, Ching-Yu Cheng:
Enhancing Large Foundation Models to Identify Fundus Diseases Based on Contrastive Enhanced Low-Rank Adaptation Prompt. OMIA@MICCAI 2024: 157-166 - [c126]Menghan Zhou, Yanyu Xu, Zhi Da Soh, Huazhu Fu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu, Liangli Zhen:
MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification. MICCAI (3) 2024: 262-272 - [c125]Along He, Tao Li, Yanlin Wu, Ke Zou, Huazhu Fu:
FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation. MICCAI (8) 2024: 305-315 - [c124]Yanyu Xu, Yingzhi Xia, Huazhu Fu, Rick Siow Mong Goh, Yong Liu, Xinxing Xu:
Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting. MICCAI (9) 2024: 467-477 - [c123]Kun Huang, Xiao Ma, Yuhan Zhang, Na Su, Songtao Yuan, Yong Liu, Qiang Chen, Huazhu Fu:
Memory-Efficient High-Resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models. MICCAI (7) 2024: 478-487 - [c122]Along He, Tao Li, Yitian Zhao, Junyong Zhao, Huazhu Fu:
Open-Set Semi-supervised Medical Image Classification with Learnable Prototypes and Outlier Filter. MICCAI (11) 2024: 492-501 - [c121]Chao Qin, Jiale Cao, Huazhu Fu, Fahad Shahbaz Khan, Rao Muhammad Anwer:
DB-SAM: Delving into High Quality Universal Medical Image Segmentation. MICCAI (12) 2024: 498-508 - [c120]Hongye Zeng, Ke Zou, Zhihao Chen, Rui Zheng, Huazhu Fu:
Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation. MICCAI (10) 2024: 622-632 - [c119]Renuga Kanagavelu, Madhav Walia, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh:
MedSynth: Leveraging Generative Model for Healthcare Data Sharing. MICCAI (12) 2024: 654-664 - [c118]Qinkai Yu, Jianyang Xie, Anh Nguyen, He Zhao, Jiong Zhang, Huazhu Fu, Yitian Zhao, Yalin Zheng, Yanda Meng:
CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-Aware Prompting. MICCAI (1) 2024: 667-677 - [c117]Ruiqi Wu, Chenran Zhang, Jianle Zhang, Yi Zhou, Tao Zhou, Huazhu Fu:
MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise. MICCAI (1) 2024: 722-732 - [c116]Yuanyuan Li, Huaying Hao, Dan Zhang, Huazhu Fu, Mengting Liu, Caifeng Shan, Yitian Zhao, Jiong Zhang:
MPMNet: Modal Prior Mutual-Support Network for Age-Related Macular Degeneration Classification. MICCAI (1) 2024: 733-742 - [c115]Lei Zhu, Yanyu Xu, Huazhu Fu, Xinxing Xu, Rick Siow Mong Goh, Yong Liu:
Partially Supervised Unpaired Multi-modal Learning for Label-Efficient Medical Image Segmentation. MLMI@MICCAI (2) 2024: 85-94 - [i156]Hongye Zeng, Ke Zou, Zhihao Chen, Yuchong Gao, Hongbo Chen, Haibin Zhang, Kang Zhou, Meng Wang, Rick Siow Mong Goh, Yong Liu, Chang Jiang, Rui Zheng, Huazhu Fu:
Training-free image style alignment for self-adapting domain shift on handheld ultrasound devices. CoRR abs/2402.11211 (2024) - [i155]Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jiang Jin Peng, Yong Liu, Rick Siow Mong Goh, Qingsong Wei:
Don't Forget What I did?: Assessing Client Contributions in Federated Learning. CoRR abs/2403.07151 (2024) - [i154]Young Seok Jeon, Hongfei Yang, Huazhu Fu, Mengling Feng:
AIC-UNet: Anatomy-informed Cascaded UNet for Robust Multi-Organ Segmentation. CoRR abs/2403.18878 (2024) - [i153]Wenjun Lin, Yan Hu, Huazhu Fu, Mingming Yang, Chin-Boon Chng, Ryo Kawasaki, Cheekong Chui, Jiang Liu:
Instrument-tissue Interaction Detection Framework for Surgical Video Understanding. CoRR abs/2404.00322 (2024) - [i152]Ke Zou, Yang Bai, Zhihao Chen, Yang Zhou, Yidi Chen, Kai Ren, Meng Wang, Xuedong Yuan, Xiaojing Shen, Huazhu Fu:
MedRG: Medical Report Grounding with Multi-modal Large Language Model. CoRR abs/2404.06798 (2024) - [i151]Qingyang Zhang, Yake Wei, Zongbo Han, Huazhu Fu, Xi Peng, Cheng Deng, Qinghua Hu, Cai Xu, Jie Wen, Di Hu, Changqing Zhang:
Multimodal Fusion on Low-quality Data: A Comprehensive Survey. CoRR abs/2404.18947 (2024) - [i150]Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh:
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. CoRR abs/2404.18962 (2024) - [i149]Heng Li, Haojin Li, Jianyu Chen, Zhongxi Qiu, Huazhu Fu, Lidai Wang, Yan Hu, Jiang Liu:
RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation. CoRR abs/2405.01228 (2024) - [i148]Junting Zhao, Yang Zhou, Zhihao Chen, Huazhu Fu, Liang Wan:
Topicwise Separable Sentence Retrieval for Medical Report Generation. CoRR abs/2405.04175 (2024) - [i147]Ruiqi Wu, Chenran Zhang, Jianle Zhang, Yi Zhou, Tao Zhou, Huazhu Fu:
MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise. CoRR abs/2405.11793 (2024) - [i146]Ziqin Lin, Heng Li, Zinan Li, Huazhu Fu, Jiang Liu:
Is Dataset Quality Still a Concern in Diagnosis Using Large Foundation Model? CoRR abs/2405.12584 (2024) - [i145]Hongye Zeng, Ke Zou, Zhihao Chen, Rui Zheng, Huazhu Fu:
Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation. CoRR abs/2405.16102 (2024) - [i144]Kun Huang, Xiao Ma, Yuhan Zhang, Na Su, Songtao Yuan, Yong Liu, Qiang Chen, Huazhu Fu:
Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models. CoRR abs/2405.16516 (2024) - [i143]Along He, Tao Li, Yanlin Wu, Ke Zou, Huazhu Fu:
FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation. CoRR abs/2405.16573 (2024) - [i142]Ke Zou, Tian Lin, Zongbo Han, Meng Wang, Xuedong Yuan, Haoyu Chen, Changqing Zhang, Xiaojing Shen, Huazhu Fu:
Confidence-aware multi-modality learning for eye disease screening. CoRR abs/2405.18167 (2024) - [i141]Tanvi Verma, Lukas Schwemer, Mingrui Tan, Fei Gao, Yong Liu, Huazhu Fu:
Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution. CoRR abs/2406.01054 (2024) - [i140]Kahou Tam, Kewei Xu, Li Li, Huazhu Fu:
Towards Federated Domain Unlearning: Verification Methodologies and Challenges. CoRR abs/2406.03078 (2024) - [i139]Meng Wang, Tian Lin, Aidi Lin, Kai Yu, Yuanyuan Peng, Lianyu Wang, Cheng Chen, Ke Zou, Huiyu Liang, Man Chen, Xue Yao, Meiqin Zhang, Binwei Huang, Chaoxin Zheng, Peixin Zhang, Wei Chen, Yilong Luo, Yifan Chen, Honghe Xia, Tingkun Shi, Qi Zhang, Jinming Guo, Xiaolin Chen, Jingcheng Wang, Yih Chung Tham, Dianbo Liu, Wendy Wong, Sahil Thakur, Beau Fenner, Danqi Fang, Siying Liu, Qingyun Liu, Yuqiang Huang, Hongqiang Zeng, Yanda Meng, Yukun Zhou, Zehua Jiang, Minghui Qiu, Changqing Zhang, Xinjian Chen, Sophia Y. Wang, Cecilia S. Lee, Lucia Sobrin, Carol Y. Cheung, Chi Pui Pang, Pearse A Keane, Ching-Yu Cheng, Haoyu Chen, Huazhu Fu:
Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases. CoRR abs/2406.09317 (2024) - [i138]Junhao Lin, Lei Zhu, Jiaxing Shen, Huazhu Fu, Qing Zhang, Liansheng Wang:
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection. CoRR abs/2406.12536 (2024) - [i137]Yuanyuan Peng, Aidi Lin, Meng Wang, Tian Lin, Ke Zou, Yinglin Cheng, Tingkun Shi, Xuelong Li, Lixia Feng, Zhen Liang, Xinjian Chen, Huazhu Fu, Haoyu Chen:
Enhancing Diagnostic Reliability of Foundation Model with Uncertainty Estimation in OCT Images. CoRR abs/2406.16942 (2024) - [i136]Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao:
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical. CoRR abs/2406.19973 (2024) - [i135]Qinkai Yu, Jianyang Xie, Anh Nguyen, He Zhao, Jiong Zhang, Huazhu Fu, Yitian Zhao, Yalin Zheng, Yanda Meng:
CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting. CoRR abs/2407.04068 (2024) - [i134]Shouyue Liu, Jinkui Hao, Yonghuai Liu, Huazhu Fu, Xinyu Guo, Shuting Zhang, Yitian Zhao:
Beyond the Eye: A Relational Model for Early Dementia Detection Using Retinal OCTA Images. CoRR abs/2408.05117 (2024) - [i133]Lianyu Wang, Meng Wang, Huazhu Fu, Daoqiang Zhang:
Say No to Freeloader: Protecting Intellectual Property of Your Deep Model. CoRR abs/2408.13161 (2024) - [i132]Nan Zhou, Ke Zou, Kai Ren, Mengting Luo, Linchao He, Meng Wang, Yidi Chen, Yi Zhang, Hu Chen, Huazhu Fu:
MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM. CoRR abs/2409.00924 (2024) - [i131]Hongqiu Wang, Yixian Chen, Wu Chen, Huihui Xu, Haoyu Zhao, Bin Sheng, Huazhu Fu, Guang Yang, Lei Zhu:
Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model. CoRR abs/2409.04356 (2024) - 2023
- [j99]Tao Zhou, Deng-Ping Fan, Geng Chen, Yi Zhou, Huazhu Fu:
Specificity-preserving RGB-D saliency detection. Comput. Vis. Media 9(2): 297-317 (2023) - [j98]Yangqin Feng, Zizhou Wang, Xinxing Xu, Yan Wang, Huazhu Fu, Shaohua Li, Liangli Zhen, Xiaofeng Lei, Yingnan Cui, Jordan Zheng Ting Sim, Yonghan Ting, Joey Tianyi Zhou, Yong Liu, Rick Siow Mong Goh, Cher Heng Tan:
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis. Medical Image Anal. 83: 102664 (2023) - [j97]Fahad Shamshad, Salman H. Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Shahbaz Khan, Huazhu Fu:
Transformers in medical imaging: A survey. Medical Image Anal. 88: 102802 (2023) - [j96]Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Yue Huang, Qinji Yu, Sifan Song, Xinxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu:
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. Medical Image Anal. 90: 102938 (2023) - [j95]Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hai Shu, Ke Niu, Yan Hu, Jiang Liu:
A generic fundus image enhancement network boosted by frequency self-supervised representation learning. Medical Image Anal. 90: 102945 (2023) - [j94]Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson:
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023) - [j93]Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen:
Consistency and Diversity Induced Human Motion Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 197-210 (2023) - [j92]Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification With Dynamic Evidential Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2551-2566 (2023) - [j91]Peng Zheng, Huazhu Fu, Deng-Ping Fan, Qi Fan, Jie Qin, Yu-Wing Tai, Chi-Keung Tang, Luc Van Gool:
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10929-10946 (2023) - [j90]Tao Zhou, Yi Zhou, Kelei He, Chen Gong, Jian Yang, Huazhu Fu, Dinggang Shen:
Cross-level Feature Aggregation Network for Polyp Segmentation. Pattern Recognit. 140: 109555 (2023) - [j89]Jingjing Chen, Linhai Zhuo, Zhipeng Wei, Hao Zhang, Huazhu Fu, Yu-Gang Jiang:
Knowledge driven weights estimation for large-scale few-shot image recognition. Pattern Recognit. 142: 109668 (2023) - [j88]Bo Peng, Mingliang Zhang, Jianjun Lei, Huazhu Fu, Haifeng Shen, Qingming Huang:
RGB-D Human Matting: A Real-World Benchmark Dataset and a Baseline Method. IEEE Trans. Circuits Syst. Video Technol. 33(8): 4041-4053 (2023) - [j87]Runmin Cong, Ning Yang, Chongyi Li, Huazhu Fu, Yao Zhao, Qingming Huang, Sam Kwong:
Global-and-Local Collaborative Learning for Co-Salient Object Detection. IEEE Trans. Cybern. 53(3): 1920-1931 (2023) - [j86]Liansheng Wang, Jiacheng Wang, Lei Zhu, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, Pheng-Ann Heng:
Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19. IEEE Trans. Cybern. 53(10): 6363-6375 (2023) - [j85]Tao Lei, Rui Sun, Xiaogang Du, Huazhu Fu, Changqing Zhang, Asoke K. Nandi:
SGU-Net: Shape-Guided Ultralight Network for Abdominal Image Segmentation. IEEE J. Biomed. Health Informatics 27(3): 1431-1442 (2023) - [j84]Hengyi Yang, Tao Zhou, Yi Zhou, Yizhe Zhang, Huazhu Fu:
Flexible Fusion Network for Multi-Modal Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics 27(7): 3349-3359 (2023) - [j83]Junting Zhao, Zhaohu Xing, Zhihao Chen, Liang Wan, Tong Han, Huazhu Fu, Lei Zhu:
Uncertainty-Aware Multi-Dimensional Mutual Learning for Brain and Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics 27(9): 4362-4372 (2023) - [j82]Huazhu Fu, Yitian Zhao, Pew-Thian Yap, Carola-Bibiane Schönlieb, Alejandro F. Frangi:
Guest Editorial Special Issue on Geometric Deep Learning in Medical Imaging. IEEE Trans. Medical Imaging 42(2): 332-335 (2023) - [j81]Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu:
Specificity-Preserving Federated Learning for MR Image Reconstruction. IEEE Trans. Medical Imaging 42(7): 2010-2021 (2023) - [j80]Erjian Guo, Huazhu Fu, Luping Zhou, Dong Xu:
Bridging Synthetic and Real Images: A Transferable and Multiple Consistency Aided Fundus Image Enhancement Framework. IEEE Trans. Medical Imaging 42(8): 2189-2199 (2023) - [j79]Along He, Kai Wang, Tao Li, Chengkun Du, Shuang Xia, Huazhu Fu:
H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation. IEEE Trans. Medical Imaging 42(9): 2763-2775 (2023) - [j78]Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu:
Multimodal Transformer for Accelerated MR Imaging. IEEE Trans. Medical Imaging 42(10): 2804-2816 (2023) - [j77]Jiangbo Shi, Lufei Tang, Zeyu Gao, Yang Li, Chunbao Wang, Tieliang Gong, Chen Li, Huazhu Fu:
MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification. IEEE Trans. Medical Imaging 42(12): 3871-3883 (2023) - [j76]Qing Li, Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu:
Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection. IEEE Trans. Multim. 25: 3420-3431 (2023) - [j75]Jixiang Gao, Jingjing Chen, Huazhu Fu, Yu-Gang Jiang:
Dynamic Mixup for Multi-Label Long-Tailed Food Ingredient Recognition. IEEE Trans. Multim. 25: 4764-4773 (2023) - [j74]Zhiqiang Tao, Jun Li, Huazhu Fu, Yu Kong, Yun Fu:
From Ensemble Clustering to Subspace Clustering: Cluster Structure Encoding. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2670-2681 (2023) - [c114]Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo:
Learning Federated Visual Prompt in Null Space for MRI Reconstruction. CVPR 2023: 8064-8073 - [c113]Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu:
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection. CVPR 2023: 20475-20484 - [c112]Yijun Yang, Angelica I. Avilés-Rivero, Huazhu Fu, Ye Liu, Weiming Wang, Lei Zhu:
Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation. ICCV 2023: 13154-13164 - [c111]Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Calibrating Multimodal Learning. ICML 2023: 23429-23450 - [c110]Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou:
dugMatting: Decomposed-Uncertainty-Guided Matting. ICML 2023: 37846-37859 - [c109]Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng:
Provable Dynamic Fusion for Low-Quality Multimodal Data. ICML 2023: 41753-41769 - [c108]Kai Ren, Ke Zou, Xianjie Liu, Yidi Chen, Xuedong Yuan, Xiaojing Shen, Meng Wang, Huazhu Fu:
Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation. MICCAI (4) 2023: 35-45 - [c107]Xuefei Li, Huaying Hao, Huazhu Fu, Dan Zhang, Da Chen, Yuchuan Qiao, Jiang Liu, Yitian Zhao, Jiong Zhang:
Privileged Modality Guided Network for Retinal Vessel Segmentation in Ultra-Wide-Field Images. OMIA@MICCAI 2023: 82-91 - [c106]Yijun Yang, Huazhu Fu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Lei Zhu:
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. MICCAI (6) 2023: 95-105 - [c105]Heng Li, Haojin Li, Wei Zhao, Huazhu Fu, Xiuyun Su, Yan Hu, Jiang Liu:
Frequency-Mixed Single-Source Domain Generalization for Medical Image Segmentation. MICCAI (6) 2023: 127-136 - [c104]Huihui Fang, Fei Li, Hanyi Yu, Dongyang Zhao, Xiang Li, Zhuoling Li, Huazhu Fu, Xiulan Zhang, Yanwu Xu:
STAGE Challenge: Structural-Functional Transition in Glaucoma Assessment Challenge in MICCAI 2023. OMIA@MICCAI 2023: 152-160 - [c103]Tao Chen, Yitian Zhao, Lei Mou, Dan Zhang, Xiayu Xu, Mengting Liu, Huazhu Fu, Jiong Zhang:
RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization. MICCAI (4) 2023: 163-172 - [c102]Jiaqi Zhang, Yan Hu, Xiaojuan Qi, Ting Meng, Lihui Wang, Huazhu Fu, Mingming Yang, Jiang Liu:
Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation. MICCAI (6) 2023: 180-190 - [c101]Yiming Qian, Liangzhi Li, Huazhu Fu, Meng Wang, Qingsheng Peng, Yih Chung Tham, Ching Yu Cheng, Yong Liu, Rick Siow Mong Goh, Xinxing Xu:
Category-Independent Visual Explanation for Medical Deep Network Understanding. MICCAI (2) 2023: 181-191 - [c100]Luoying Hao, Yan Hu, Wenjun Lin, Qun Wang, Heng Li, Huazhu Fu, Jinming Duan, Jiang Liu:
ACT-Net: Anchor-Context Action Detection in Surgery Videos. MICCAI (9) 2023: 196-206 - [c99]Meng Wang, Lianyu Wang, Xinxing Xu, Ke Zou, Yiming Qian, Rick Siow Mong Goh, Yong Liu, Huazhu Fu:
Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging. MICCAI (2) 2023: 222-232 - [c98]Yinglin Zhang, Ruiling Xi, Huazhu Fu, Dave Towey, Ruibin Bai, Risa Higashita, Jiang Liu:
Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-Aware Network. MICCAI (4) 2023: 323-332 - [c97]Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li:
Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 334-346 - [c96]Guoyao Deng, Ke Zou, Kai Ren, Meng Wang, Xuedong Yuan, Sancong Ying, Huazhu Fu:
SAM-U: Multi-box Prompts Triggered Uncertainty Estimation for Reliable SAM in Medical Image. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 368-377 - [c95]Zhihao Chen, Yang Zhou, Anh Tran, Junting Zhao, Liang Wan, Gideon Ooi, Lionel Tim-Ee Cheng, Choon Hua Thng, Xinxing Xu, Yong Liu, Huazhu Fu:
Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment. MICCAI (7) 2023: 371-381 - [c94]Chao Qin, Jiale Cao, Huazhu Fu, Rao Muhammad Anwer, Fahad Shahbaz Khan:
A Spatial-Temporal Deformable Attention Based Framework for Breast Lesion Detection in Videos. MICCAI (2) 2023: 479-488 - [c93]Junhao Lin, Qian Dai, Lei Zhu, Huazhu Fu, Qiong Wang, Weibin Li, Wenhao Rao, Xiaoyang Huang, Liansheng Wang:
Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos. MICCAI (3) 2023: 497-507 - [c92]Ke Zou, Tian Lin, Xuedong Yuan, Haoyu Chen, Xiaojing Shen, Meng Wang, Huazhu Fu:
Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions. MICCAI (7) 2023: 596-606 - [c91]Shouyue Liu, Jinkui Hao, Yanwu Xu, Huazhu Fu, Xinyu Guo, Jiang Liu, Yalin Zheng, Yonghuai Liu, Jiong Zhang, Yitian Zhao:
Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images. MICCAI (7) 2023: 607-617 - [c90]Yanyu Xu, Menghan Zhou, Yangqin Feng, Xinxing Xu, Huazhu Fu, Rick Siow Mong Goh, Yong Liu:
Minimal-Supervised Medical Image Segmentation via Vector Quantization Memory. MICCAI (3) 2023: 625-636 - [c89]Sanqian Li, Risa Higashita, Huazhu Fu, Heng Li, Jingxuan Niu, Jiang Liu:
Content-Preserving Diffusion Model for Unsupervised AS-OCT Image Despeckling. MICCAI (7) 2023: 660-670 - [c88]Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu:
Fairness-guided Few-shot Prompting for Large Language Models. NeurIPS 2023 - [e7]Bhavna Josephine Antony, Hao Chen, Huihui Fang, Huazhu Fu, Cecilia S. Lee, Yalin Zheng:
Ophthalmic Medical Image Analysis - 10th International Workshop, OMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Lecture Notes in Computer Science 14096, Springer 2023, ISBN 978-3-031-44012-0 [contents] - [e6]Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas Sudharshan Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets-Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard M. Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14394, Springer 2023, ISBN 978-3-031-47424-8 [contents] - [i130]Ke Zou, Xuedong Yuan, Xiaojing Shen, Yidi Chen, Meng Wang, Rick Siow Mong Goh, Yong Liu, Huazhu Fu:
EvidenceCap: Towards trustworthy medical image segmentation via evidential identity cap. CoRR abs/2301.00349 (2023) - [i129]Meng Wang, Kai Yu, Chun-Mei Feng, Yiming Qian, Ke Zou, Lianyu Wang, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Huazhu Fu:
TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature. CoRR abs/2301.12798 (2023) - [i128]Ke Zou, Zhihao Chen, Xuedong Yuan, Xiaojing Shen, Meng Wang, Huazhu Fu:
A Review of Uncertainty Estimation and its Application in Medical Imaging. CoRR abs/2302.08119 (2023) - [i127]Erjian Guo, Huazhu Fu, Luping Zhou, Dong Xu:
Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework. CoRR abs/2302.11795 (2023) - [i126]Zhihao Chen, Yang Zhou, Anh Tran, Junting Zhao, Liang Wan, Gideon Ooi, Lionel Cheng, Choon Hua Thng, Xinxing Xu, Yong Liu, Huazhu Fu:
Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment. CoRR abs/2303.07618 (2023) - [i125]Zhihao Chen, Liang Wan, Yefan Xiao, Lei Zhu, Huazhu Fu:
Learning Physical-Spatio-Temporal Features for Video Shadow Removal. CoRR abs/2303.09370 (2023) - [i124]Ke Zou, Tian Lin, Xuedong Yuan, Haoyu Chen, Xiaojing Shen, Meng Wang, Huazhu Fu:
Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions. CoRR abs/2303.09790 (2023) - [i123]Bangzheng Pu, Xingxing Wei, Shiji Zhao, Huazhu Fu:
MedLocker: A Transferable Adversarial Watermarking for Preventing Unauthorized Analysis of Medical Image Dataset. CoRR abs/2303.09858 (2023) - [i122]Kai Ren, Ke Zou, Xianjie Liu, Yidi Chen, Xuedong Yuan, Xiaojing Shen, Meng Wang, Huazhu Fu:
Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation. CoRR abs/2303.10049 (2023) - [i121]Zhaohu Xing, Liang Wan, Huazhu Fu, Guang Yang, Lei Zhu:
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation. CoRR abs/2303.10326 (2023) - [i120]Yijun Yang, Huazhu Fu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Lei Zhu:
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. CoRR abs/2303.10610 (2023) - [i119]Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu:
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection. CoRR abs/2303.11078 (2023) - [i118]Meng Wang, Lianyu Wang, Xinxing Xu, Ke Zou, Yiming Qian, Rick Siow Mong Goh, Yong Liu, Huazhu Fu:
Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging. CoRR abs/2303.13033 (2023) - [i117]Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu:
Fairness-guided Few-shot Prompting for Large Language Models. CoRR abs/2303.13217 (2023) - [i116]Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo:
Learning Federated Visual Prompt in Null Space for MRI Reconstruction. CoRR abs/2303.16181 (2023) - [i115]Meng Wang, Tian Lin, Lianyu Wang, Aidi Lin, Ke Zou, Xinxing Xu, Yi Zhou, Yuanyuan Peng, Qingquan Meng, Yiming Qian, Guoyao Deng, Zhiqun Wu, Junhong Chen, Jianhong Lin, Mingzhi Zhang, Weifang Zhu, Changqing Zhang, Xinjian Chen, Daoqiang Zhang, Rick Siow Mong Goh, Yong Liu, Chi Pui Pang, Haoyu Chen, Huazhu Fu:
Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification. CoRR abs/2304.03981 (2023) - [i114]Huihui Fang, Fei Li, Junde Wu, Huazhu Fu, Xu Sun, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation. CoRR abs/2305.07816 (2023) - [i113]Yinglin Zhang, Ruiling Xi, Huazhu Fu, Dave Towey, Ruibin Bai, Risa Higashita, Jiang Liu:
Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network. CoRR abs/2305.18865 (2023) - [i112]Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Calibrating Multimodal Learning. CoRR abs/2306.01265 (2023) - [i111]Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou:
dugMatting: Decomposed-Uncertainty-Guided Matting. CoRR abs/2306.01452 (2023) - [i110]Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng:
Provable Dynamic Fusion for Low-Quality Multimodal Data. CoRR abs/2306.02050 (2023) - [i109]Sanqian Li, Risa Higashita, Huazhu Fu, Heng Li, Jingxuan Liu, Jiang Liu:
Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling. CoRR abs/2306.17717 (2023) - [i108]Guoyao Deng, Ke Zou, Kai Ren, Meng Wang, Xuedong Yuan, Sancong Ying, Huazhu Fu:
SAM-U: Multi-box prompts triggered uncertainty estimation for reliable SAM in medical image. CoRR abs/2307.04973 (2023) - [i107]Guoyao Deng, Ke Zou, Meng Wang, Xuedong Yuan, Sancong Ying, Huazhu Fu:
A Multi-view Impartial Decision Network for Frontotemporal Dementia Diagnosis. CoRR abs/2307.04981 (2023) - [i106]Heng Li, Haojin Li, Wei Zhao, Huazhu Fu, Xiuyun Su, Yan Hu, Jiang Liu:
Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation. CoRR abs/2307.09005 (2023) - [i105]Along He, Kai Wang, Zhihong Wang, Tao Li, Huazhu Fu:
DVPT: Dynamic Visual Prompt Tuning of Large Pre-trained Models for Medical Image Analysis. CoRR abs/2307.09787 (2023) - [i104]Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li:
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification. CoRR abs/2307.14959 (2023) - [i103]Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hui Shu, Ke Niu, Yan Hu, Jiang Liu:
A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning. CoRR abs/2309.00885 (2023) - [i102]Chao Qin, Jiale Cao, Huazhu Fu, Rao Muhammad Anwer, Fahad Shahbaz Khan:
A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos. CoRR abs/2309.04702 (2023) - [i101]Yijun Yang, Angelica I. Avilés-Rivero, Huazhu Fu, Ye Liu, Weiming Wang, Lei Zhu:
Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation. CoRR abs/2309.13700 (2023) - [i100]Junhao Lin, Qian Dai, Lei Zhu, Huazhu Fu, Qiong Wang, Weibin Li, Wenhao Rao, Xiaoyang Huang, Liansheng Wang:
Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos. CoRR abs/2310.01861 (2023) - [i99]Luoying Hao, Yan Hu, Wenjun Lin, Qun Wang, Heng Li, Huazhu Fu, Jinming Duan, Jiang Liu:
ACT-Net: Anchor-context Action Detection in Surgery Videos. CoRR abs/2310.03377 (2023) - [i98]Huan Ma, Changqing Zhang, Huazhu Fu, Peilin Zhao, Bingzhe Wu:
Adapting Large Language Models for Content Moderation: Pitfalls in Data Engineering and Supervised Fine-tuning. CoRR abs/2310.03400 (2023) - [i97]Siqi Li, Di Miao, Qiming Wu, Chuan Hong, Danny D'Agostino, Xin Li, Yilin Ning, Yuqing Shang, Huazhu Fu, Marcus Eng Hock Ong, Hamed Haddadi, Nan Liu:
Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches. CoRR abs/2311.03417 (2023) - [i96]Shouyue Liu, Jinkui Hao, Yanwu Xu, Huazhu Fu, Xinyu Guo, Jiang Liu, Yalin Zheng, Yonghuai Liu, Jiong Zhang, Yitian Zhao:
Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images. CoRR abs/2311.06009 (2023) - [i95]Yuheng Fan, Hanxi Liao, Shiqi Huang, Yimin Luo, Huazhu Fu, Haikun Qi:
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI. CoRR abs/2311.11383 (2023) - [i94]Jiaxin Mei, Tao Zhou, Kaiwen Huang, Yizhe Zhang, Yi Zhou, Ye Wu, Huazhu Fu:
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends. CoRR abs/2311.18373 (2023) - [i93]Yiming Zhao, Tao Zhou, Yunqi Gu, Yi Zhou, Yizhe Zhang, Ye Wu, Huazhu Fu:
Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation. CoRR abs/2312.00312 (2023) - [i92]Heng Li, Ziqin Lin, Zhongxi Qiu, Zinan Li, Huazhu Fu, Yan Hu, Jiang Liu:
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement. CoRR abs/2312.01338 (2023) - [i91]Haili Ye, Xiaoqing Zhang, Yan Hu, Huazhu Fu, Jiang Liu:
VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering. CoRR abs/2312.13116 (2023) - [i90]Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu:
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation. CoRR abs/2312.16039 (2023) - 2022
- [j73]Xiaoqing Zhang, Zunjie Xiao, Huazhu Fu, Yan Hu, Jin Yuan, Yanwu Xu, Risa Higashita, Jiang Liu:
Attention to region: Region-based integration-and-recalibration networks for nuclear cataract classification using AS-OCT images. Medical Image Anal. 80: 102499 (2022) - [j72]Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu:
Deep Partial Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2402-2415 (2022) - [j71]Wenguan Wang, Qiuxia Lai, Huazhu Fu, Jianbing Shen, Haibin Ling, Ruigang Yang:
Salient Object Detection in the Deep Learning Era: An In-Depth Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3239-3259 (2022) - [j70]Deng-Ping Fan, Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng, Huazhu Fu, Jianbing Shen:
Re-Thinking Co-Salient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4339-4354 (2022) - [j69]Junbing Li, Changqing Zhang, Joey Tianyi Zhou, Huazhu Fu, Shuyin Xia, Qinghua Hu:
Deep-LIFT: Deep Label-Specific Feature Learning for Image Annotation. IEEE Trans. Cybern. 52(8): 7732-7741 (2022) - [j68]Xiaoqiang Wang, Lei Zhu, Siliang Tang, Huazhu Fu, Ping Li, Fei Wu, Yi Yang, Yueting Zhuang:
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images. IEEE Trans. Image Process. 31: 1107-1119 (2022) - [j67]Huazhu Fu, Tao Zhou, Shuo Li, Alejandro F. Frangi:
Guest Editorial Generative Adversarial Networks in Biomedical Image Computing. IEEE J. Biomed. Health Informatics 26(1): 4-6 (2022) - [j66]Jinkui Hao, Fei Li, Huaying Hao, Huazhu Fu, Yanwu Xu, Risa Higashita, Xiulan Zhang, Jiang Liu, Yitian Zhao:
Hybrid Variation-Aware Network for Angle-Closure Assessment in AS-OCT. IEEE Trans. Medical Imaging 41(2): 254-265 (2022) - [j65]Kang Zhou, Jing Li, Weixin Luo, Zhengxin Li, Jianlong Yang, Huazhu Fu, Jun Cheng, Jiang Liu, Shenghua Gao:
Proxy-Bridged Image Reconstruction Network for Anomaly Detection in Medical Images. IEEE Trans. Medical Imaging 41(3): 582-594 (2022) - [j64]Heng Li, Haofeng Liu, Yan Hu, Huazhu Fu, Yitian Zhao, Hanpei Miao, Jiang Liu:
An Annotation-Free Restoration Network for Cataractous Fundus Images. IEEE Trans. Medical Imaging 41(7): 1699-1710 (2022) - [j63]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, Ching-Wei Wang, Shih-Chang Lo, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images. IEEE Trans. Medical Imaging 41(10): 2828-2847 (2022) - [j62]Along He, Kai Wang, Tao Li, Wang Bo, Hong Kang, Huazhu Fu:
Progressive Multiscale Consistent Network for Multiclass Fundus Lesion Segmentation. IEEE Trans. Medical Imaging 41(11): 3146-3157 (2022) - [c87]Ruijun Gao, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Huazhu Fu, Wei Feng, Yang Liu, Song Wang:
Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection. CVPR 2022: 2140-2149 - [c86]Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang:
Trustworthy Long-Tailed Classification. CVPR 2022: 6960-6969 - [c85]Liang Gao, Huazhu Fu, Li Li, Yingwen Chen, Ming Xu, Cheng-Zhong Xu:
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction. CVPR 2022: 10102-10111 - [c84]Xiaoxiao Liang, Yiqun Lin, Huazhu Fu, Lei Zhu, Xiaomeng Li:
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning. CVPR 2022: 10144-10153 - [c83]Shuai Wang, Lei Zhu, Huazhu Fu, Jing Qin, Carola-Bibiane Schönlieb, Wei Feng, Song Wang:
Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior. ECCV (19) 2022: 565-582 - [c82]Jinmian Cai, Zheng Wang, Huazhu Fu, Jingjing Chen, Yu-Gang Jiang:
Data-Free Network Debiasing for Long-Tailed Visual Recognition. ICME 2022: 1-6 - [c81]Linh D. Le, Huazhu Fu, Xinxing Xu, Yong Liu, Yanyu Xu, Jiawei Du, Joey Tianyi Zhou, Rick Siow Mong Goh:
An Efficient Defending Mechanism Against Image Attacking on Medical Image Segmentation Models. REMIA@MICCAI 2022: 65-74 - [c80]Jiayu Chen, Lei Mou, Shaodong Ma, Huazhu Fu, Lijun Guo, Yalin Zheng, Jiong Zhang, Yitian Zhao:
NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation. MICCAI (4) 2022: 79-88 - [c79]Xiaofeng Lei, Shaohua Li, Xinxing Xu, Huazhu Fu, Yong Liu, Yih Chung Tham, Yangqin Feng, Mingrui Tan, Yanyu Xu, Jocelyn Hui Lin Goh, Rick Siow Mong Goh, Ching-Yu Cheng:
Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks. OMIA@MICCAI 2022: 94-104 - [c78]Meng Wang, Kai Yu, Xinxing Xu, Yi Zhou, Yuanyuan Peng, Yanyu Xu, Rick Siow Mong Goh, Yong Liu, Huazhu Fu:
Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer. OMIA@MICCAI 2022: 125-134 - [c77]Yanyu Xu, Xinxing Xu, Huazhu Fu, Meng Wang, Rick Siow Mong Goh, Yong Liu:
Facing Annotation Redundancy: OCT Layer Segmentation with only 10 Annotated Pixels per Layer. REMIA@MICCAI 2022: 126-136 - [c76]Huihui Fang, Fei Li, Huazhu Fu, Junde Wu, Xiulan Zhang, Yanwu Xu:
Dataset and Evaluation Algorithm Design for GOALS Challenge. OMIA@MICCAI 2022: 135-142 - [c75]Wenjun Lin, Yan Hu, Luoying Hao, Dan Zhou, Mingming Yang, Huazhu Fu, Cheekong Chui, Jiang Liu:
Instrument-tissue Interaction Quintuple Detection in Surgery Videos. MICCAI (8) 2022: 399-409 - [c74]Heng Li, Haofeng Liu, Huazhu Fu, Hai Shu, Yitian Zhao, Xiaoling Luo, Yan Hu, Jiang Liu:
Structure-Consistent Restoration Network for Cataract Fundus Image Enhancement. MICCAI (2) 2022: 487-496 - [c73]Ke Zou, Xuedong Yuan, Xiaojing Shen, Meng Wang, Huazhu Fu:
TBraTS: Trusted Brain Tumor Segmentation. MICCAI (8) 2022: 503-513 - [c72]Haofeng Liu, Heng Li, Huazhu Fu, Ruoxiu Xiao, Yunshu Gao, Yan Hu, Jiang Liu:
Degradation-Invariant Enhancement of Fundus Images via Pyramid Constraint Network. MICCAI (2) 2022: 507-516 - [c71]Yanmiao Bai, Jinkui Hao, Huazhu Fu, Yan Hu, Xinting Ge, Jiang Liu, Yitian Zhao, Jiong Zhang:
Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography. MICCAI (2) 2022: 560-570 - [c70]Zhi Lin, Junhao Lin, Lei Zhu, Huazhu Fu, Jing Qin, Liansheng Wang:
A New Dataset and a Baseline Model for Breast Lesion Detection in Ultrasound Videos. MICCAI (3) 2022: 614-623 - [c69]Yi Zhou, Shaochen Bai, Tao Zhou, Yu Zhang, Huazhu Fu:
Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis. MICCAI (8) 2022: 682-692 - [c68]Xingyue Wang, Heng Li, Zunjie Xiao, Huazhu Fu, Yitian Zhao, Richu Jin, Shuting Zhang, William Robert Kwapong, Ziyi Zhang, Hanpei Miao, Jiang Liu:
Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity. MICCAI (2) 2022: 688-698 - [c67]Ye Liu, Liang Wan, Huazhu Fu, Jing Qin, Lei Zhu:
Phase-based Memory Network for Video Dehazing. ACM Multimedia 2022: 5427-5435 - [e5]Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Huazhu Fu:
Resource-Efficient Medical Image Analysis - First MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13543, Springer 2022, ISBN 978-3-031-16875-8 [contents] - [e4]Bhavna Josephine Antony, Huazhu Fu, Cecilia S. Lee, Tom J. MacGillivray, Yanwu Xu, Yalin Zheng:
Ophthalmic Medical Image Analysis - 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13576, Springer 2022, ISBN 978-3-031-16524-5 [contents] - [i89]Xiaoqiang Wang, Lei Zhu, Siliang Tang, Huazhu Fu, Ping Li, Fei Wu, Yi Yang, Yueting Zhuang:
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images. CoRR abs/2201.00100 (2022) - [i88]Fahad Shamshad, Salman Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Shahbaz Khan, Huazhu Fu:
Transformers in Medical Imaging: A Survey. CoRR abs/2201.09873 (2022) - [i87]Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen:
Consistency and Diversity induced Human Motion Segmentation. CoRR abs/2202.04861 (2022) - [i86]Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Lexing Huang, Qinji Yu, Sifan Song, Xingxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu:
GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. CoRR abs/2202.06511 (2022) - [i85]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. CoRR abs/2202.07983 (2022) - [i84]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Jaemin Son, Shuang Yu, Menglu Zhang, Chenglang Yuan, Cheng Bian, Baiying Lei, Benjian Zhao, Xinxing Xu, Shaohua Li, Francisco Fumero, José F. Sigut, Haidar Almubarak, Yakoub Bazi, Yuanhao Guo, Yating Zhou, Ujjwal Baid, Shubham Innani, Tianjiao Guo, Jie Yang, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment. CoRR abs/2202.08994 (2022) - [i83]Heng Li, Haofeng Liu, Yan Hu, Huazhu Fu, Yitian Zhao, Hanpei Miao, Jiang Liu:
An Annotation-free Restoration Network for Cataractous Fundus Images. CoRR abs/2203.07737 (2022) - [i82]Liang Gao, Huazhu Fu, Li Li, Yingwen Chen, Ming Xu, Cheng-Zhong Xu:
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction. CoRR abs/2203.11751 (2022) - [i81]Xiaoxiao Liang, Yiqun Lin, Huazhu Fu, Lei Zhu, Xiaomeng Li:
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning. CoRR abs/2203.13993 (2022) - [i80]Ge-Peng Ji, Guobao Xiao, Yu-Cheng Chou, Deng-Ping Fan, Kai Zhao, Geng Chen, Huazhu Fu, Luc Van Gool:
Video Polyp Segmentation: A Deep Learning Perspective. CoRR abs/2203.14291 (2022) - [i79]Runmin Cong, Ning Yang, Chongyi Li, Huazhu Fu, Yao Zhao, Qingming Huang, Sam Kwong:
Global-and-Local Collaborative Learning for Co-Salient Object Detection. CoRR abs/2204.08917 (2022) - [i78]Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification with Dynamic Evidential Fusion. CoRR abs/2204.11423 (2022) - [i77]Peng Zheng, Huazhu Fu, Deng-Ping Fan, Qi Fan, Jie Qin, Luc Van Gool:
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector. CoRR abs/2205.15469 (2022) - [i76]Along He, Kai Wang, Tao Li, Wang Bo, Hong Kang, Huazhu Fu:
Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation. CoRR abs/2205.15720 (2022) - [i75]Heng Li, Haofeng Liu, Huazhu Fu, Hai Shu, Yitian Zhao, Xiaoling Luo, Yan Hu, Jiang Liu:
Structure-consistent Restoration Network for Cataract Fundus Image Enhancement. CoRR abs/2206.04684 (2022) - [i74]Ke Zou, Xuedong Yuan, Xiaojing Shen, Meng Wang, Huazhu Fu:
TBraTS: Trusted Brain Tumor Segmentation. CoRR abs/2206.09309 (2022) - [i73]Zhi Lin, Junhao Lin, Lei Zhu, Huazhu Fu, Jing Qin, Liansheng Wang:
A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos. CoRR abs/2207.00141 (2022) - [i72]Huihui Fang, Fei Li, Huazhu Fu, Junde Wu, Xiulan Zhang, Yanwu Xu:
Dataset and Evaluation algorithm design for GOALS Challenge. CoRR abs/2207.14447 (2022) - [i71]Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu:
Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain. CoRR abs/2209.01870 (2022) - [i70]Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Yanwu Xu:
Learning to screen Glaucoma like the ophthalmologists. CoRR abs/2209.11431 (2022) - [i69]Xiaofeng Lei, Shaohua Li, Xinxing Xu, Huazhu Fu, Yong Liu, Yih Chung Tham, Yangqin Feng, Mingrui Tan, Yanyu Xu, Jocelyn Hui Lin Goh, Rick Siow Mong Goh, Ching-Yu Cheng:
Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive Networks. CoRR abs/2210.02445 (2022) - [i68]Haofeng Liu, Heng Li, Huazhu Fu, Ruoxiu Xiao, Yunshu Gao, Yan Hu, Jiang Liu:
Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network. CoRR abs/2210.09606 (2022) - [i67]Liansheng Wang, Jiacheng Wang, Lei Zhu, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, Pheng-Ann Heng:
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19. CoRR abs/2211.05548 (2022) - [i66]Junde Wu, Huihui Fang, Yehui Yang, Yu Zhang, Haoyi Xiong, Huazhu Fu, Yanwu Xu:
ExpNet: A unified network for Expert-Level Classification. CoRR abs/2211.15672 (2022) - 2021
- [j61]Xinxin Zhu, Yi Li, Huazhu Fu, Xiaoting Fan, Yanan Shi, Jianjun Lei:
RGB-D salient object detection via cross-modal joint feature extraction and low-bound fusion loss. Neurocomputing 453: 623-635 (2021) - [j60]Bo Peng, Jianjun Lei, Huazhu Fu, Yalong Jia, Zongqian Zhang, Yi Li:
Deep video action clustering via spatio-temporal feature learning. Neurocomputing 456: 519-527 (2021) - [j59]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:
CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging. Medical Image Anal. 67: 101874 (2021) - [j58]Tao Li, Wang Bo, Chunyu Hu, Hong Kang, Hanruo Liu, Kai Wang, Huazhu Fu:
Applications of deep learning in fundus images: A review. Medical Image Anal. 69: 101971 (2021) - [j57]Jiansheng Fang, Huazhu Fu, Jiang Liu:
Deep triplet hashing network for case-based medical image retrieval. Medical Image Anal. 69: 101981 (2021) - [j56]Cheng Xue, Lei Zhu, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, Pheng-Ann Heng:
Global guidance network for breast lesion segmentation in ultrasound images. Medical Image Anal. 70: 101989 (2021) - [j55]Chongyi Li, Runmin Cong, Sam Kwong, Junhui Hou, Huazhu Fu, Guopu Zhu, Dingwen Zhang, Qingming Huang:
ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D Salient Object Detection. IEEE Trans. Cybern. 51(1): 88-100 (2021) - [j54]Jiansheng Fang, Huazhu Fu, Dan Zeng, Xiao Yan, Yuguang Yan, Jiang Liu:
Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval. IEEE J. Biomed. Health Informatics 25(10): 3943-3954 (2021) - [j53]Along He, Tao Li, Ning Li, Kai Wang, Huazhu Fu:
CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading. IEEE Trans. Medical Imaging 40(1): 143-153 (2021) - [j52]Yuhui Ma, Huaying Hao, Jianyang Xie, Huazhu Fu, Jiong Zhang, Jianlong Yang, Zhen Wang, Jiang Liu, Yalin Zheng, Yitian Zhao:
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model. IEEE Trans. Medical Imaging 40(3): 928-939 (2021) - [j51]Ziyi Shen, Huazhu Fu, Jianbing Shen, Ling Shao:
Modeling and Enhancing Low-Quality Retinal Fundus Images. IEEE Trans. Medical Imaging 40(3): 996-1006 (2021) - [j50]Yi Zhou, Tianfei Zhou, Tao Zhou, Huazhu Fu, Jiacheng Liu, Ling Shao:
Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning. IEEE Trans. Medical Imaging 40(4): 1196-1206 (2021) - [j49]Yuhui Ma, Jiang Liu, Yonghuai Liu, Huazhu Fu, Yan Hu, Jun Cheng, Hong Qi, Yufei Wu, Jiong Zhang, Yitian Zhao:
Structure and Illumination Constrained GAN for Medical Image Enhancement. IEEE Trans. Medical Imaging 40(12): 3955-3967 (2021) - [c66]Zhihao Chen, Liang Wan, Lei Zhu, Jia Shen, Huazhu Fu, Wennan Liu, Jing Qin:
Triple-Cooperative Video Shadow Detection. CVPR 2021: 2715-2724 - [c65]Qi Fan, Deng-Ping Fan, Huazhu Fu, Chi-Keung Tang, Ling Shao, Yu-Wing Tai:
Group Collaborative Learning for Co-Salient Object Detection. CVPR 2021: 12288-12298 - [c64]Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu, Ling Shao:
Visual-Textual Attentive Semantic Consistency for Medical Report Generation. ICCV 2021: 3965-3974 - [c63]Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao:
Specificity-preserving RGB-D Saliency Detection. ICCV 2021: 4661-4671 - [c62]Xing Zhang, Zuxuan Wu, Zejia Weng, Huazhu Fu, Jingjing Chen, Yu-Gang Jiang, Larry Davis:
VideoLT: Large-scale Long-tailed Video Recognition. ICCV 2021: 7940-7949 - [c61]Yujun Zhang, Lei Zhu, Wei Feng, Huazhu Fu, Mingqian Wang, Qingxia Li, Cheng Li, Song Wang:
VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection. ICCV 2021: 15661-15670 - [c60]Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification. ICLR 2021 - [c59]Zhibin Wan, Changqing Zhang, Yu Geng, Huazhu Fu, Xi Peng, Pengfei Zhu, Qinghua Hu:
Cross-View Equivariant Auto-Encoder. ICME 2021: 1-6 - [c58]Yinglin Zhang, Risa Higashita, Huazhu Fu, Yanwu Xu, Yang Zhang, Haofeng Liu, Jian Zhang, Jiang Liu:
A Multi-branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation. MICCAI (1) 2021: 99-108 - [c57]Huihui Fang, Fangxin Shang, Huazhu Fu, Fei Li, Xiulan Zhang, Yanwu Xu:
Multi-modality Images Analysis: A Baseline for Glaucoma Grading via Deep Learning. OMIA@MICCAI 2021: 139-147 - [c56]Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu:
Multi-contrast MRI Super-Resolution via a Multi-stage Integration Network. MICCAI (6) 2021: 140-149 - [c55]Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha, Ling Shao:
Progressively Normalized Self-Attention Network for Video Polyp Segmentation. MICCAI (1) 2021: 142-152 - [c54]Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu:
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. MICCAI (6) 2021: 307-317 - [c53]Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh:
Few-Shot Domain Adaptation with Polymorphic Transformers. MICCAI (2) 2021: 330-340 - [c52]Ye Liu, Lei Zhu, Shunda Pei, Huazhu Fu, Jing Qin, Qing Zhang, Liang Wan, Wei Feng:
From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data. ACM Multimedia 2021: 50-58 - [c51]Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. NeurIPS 2021: 6881-6893 - [p2]Chongyi Li, Huazhu Fu, Miao Yang, Runmin Cong, Chunle Guo:
Deep Retinal Image Non-Uniform Illumination Removal. Generalization with Deep Learning 2021: 235-257 - [e3]Huazhu Fu, Mona Kathryn Garvin, Tom J. MacGillivray, Yanwu Xu, Yalin Zheng:
Ophthalmic Medical Image Analysis - 8th International Workshop, OMIA 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12970, Springer 2021, ISBN 978-3-030-86999-1 [contents] - [i65]Tao Li, Wang Bo, Chunyu Hu, Hong Kang, Hanruo Liu, Kai Wang, Huazhu Fu:
Applications of Deep Learning in Fundus Images: A Review. CoRR abs/2101.09864 (2021) - [i64]Jiansheng Fang, Huazhu Fu, Jiang Liu:
Deep Triplet Hashing Network for Case-based Medical Image Retrieval. CoRR abs/2101.12346 (2021) - [i63]Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification. CoRR abs/2102.02051 (2021) - [i62]Zhihao Chen, Liang Wan, Lei Zhu, Jia Shen, Huazhu Fu, Wennan Liu, Jing Qin:
Triple-cooperative Video Shadow Detection. CoRR abs/2103.06533 (2021) - [i61]Qi Fan, Deng-Ping Fan, Huazhu Fu, Chi-Keung Tang, Ling Shao, Yu-Wing Tai:
Group Collaborative Learning for Co-Salient Object Detection. CoRR abs/2104.01108 (2021) - [i60]Cheng Xue, Lei Zhu, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, PhengAnn Heng:
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images. CoRR abs/2104.01896 (2021) - [i59]Xing Zhang, Zuxuan Wu, Zejia Weng, Huazhu Fu, Jingjing Chen, Yu-Gang Jiang, Larry Davis:
VideoLT: Large-scale Long-tailed Video Recognition. CoRR abs/2105.02668 (2021) - [i58]Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao:
DONet: Dual-Octave Network for Fast MR Image Reconstruction. CoRR abs/2105.05980 (2021) - [i57]Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha, Ling Shao:
Progressively Normalized Self-Attention Network for Video Polyp Segmentation. CoRR abs/2105.08468 (2021) - [i56]Jiansheng Fang, Huazhu Fu, Dan Zeng, Xiao Yan, Yuguang Yan, Jiang Liu:
Combating Ambiguity for Hash-code Learning in Medical Instance Retrieval. CoRR abs/2105.08872 (2021) - [i55]Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu:
Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network. CoRR abs/2105.08949 (2021) - [i54]Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu:
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. CoRR abs/2106.06742 (2021) - [i53]Yinglin Zhang, Risa Higashita, Huazhu Fu, Yanwu Xu, Yang Zhang, Haofeng Liu, Jian Zhang, Jiang Liu:
A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell Segmentation. CoRR abs/2106.07557 (2021) - [i52]Li Li, Huazhu Fu, Bo Han, Cheng-Zhong Xu, Ling Shao:
Federated Noisy Client Learning. CoRR abs/2106.13239 (2021) - [i51]Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao:
Accelerated Multi-Modal MR Imaging with Transformers. CoRR abs/2106.14248 (2021) - [i50]Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh:
Few-Shot Domain Adaptation with Polymorphic Transformers. CoRR abs/2107.04805 (2021) - [i49]Ye Liu, Lei Zhu, Shunda Pei, Huazhu Fu, Jing Qin, Qing Zhang, Liang Wan, Wei Feng:
From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data. CoRR abs/2108.02934 (2021) - [i48]Bo Dong, Wenhai Wang, Deng-Ping Fan, Jinpeng Li, Huazhu Fu, Ling Shao:
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers. CoRR abs/2108.06932 (2021) - [i47]Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao:
Specificity-preserving RGB-D Saliency Detection. CoRR abs/2108.08162 (2021) - [i46]Yujun Zhang, Lei Zhu, Wei Feng, Huazhu Fu, Mingqian Wang, Qingxia Li, Cheng Li, Song Wang:
VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection. CoRR abs/2108.08482 (2021) - [i45]Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, Ling Shao:
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. CoRR abs/2109.01664 (2021) - [i44]Kang Zhou, Jing Li, Weixin Luo, Zhengxin Li, Jianlong Yang, Huazhu Fu, Jun Cheng, Jiang Liu, Shenghua Gao:
Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images. CoRR abs/2110.01761 (2021) - [i43]Chun-Mei Feng, Huazhu Fu, Tianfei Zhou, Yong Xu, Ling Shao, David Zhang:
Multi-modal Aggregation Network for Fast MR Imaging. CoRR abs/2110.08080 (2021) - [i42]Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. CoRR abs/2111.08456 (2021) - [i41]Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang:
Trustworthy Long-Tailed Classification. CoRR abs/2111.09030 (2021) - [i40]Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Yong Xu, Ling Shao:
Specificity-Preserving Federated Learning for MR Image Reconstruction. CoRR abs/2112.05752 (2021) - 2020
- [j48]Changqing Zhang, Huazhu Fu, Jing Wang, Wen Li, Xiaochun Cao, Qinghua Hu:
Tensorized Multi-view Subspace Representation Learning. Int. J. Comput. Vis. 128(8): 2344-2361 (2020) - [j47]José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Hrvoje Bogunovic:
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Anal. 59 (2020) - [j46]Huazhu Fu, Fei Li, Xu Sun, Xingxing Cao, Jingan Liao, José Ignacio Orlando, Xing Tao, Yuexiang Li, Shihao Zhang, Mingkui Tan, Chenglang Yuan, Cheng Bian, Ruitao Xie, Jiongcheng Li, Xiaomeng Li, Jing Wang, Le Geng, Panming Li, Yanwu Xu:
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. Medical Image Anal. 66: 101798 (2020) - [j45]Changqing Zhang, Huazhu Fu, Qinghua Hu, Xiaochun Cao, Yuan Xie, Dacheng Tao, Dong Xu:
Generalized Latent Multi-View Subspace Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 86-99 (2020) - [j44]Mengxin Han, Runmin Cong, Xinyu Li, Huazhu Fu, Jianjun Lei:
Joint spatial-spectral hyperspectral image classification based on convolutional neural network. Pattern Recognit. Lett. 130: 38-45 (2020) - [j43]Yuming Jiang, Lixin Duan, Jun Cheng, Zaiwang Gu, Hu Xia, Huazhu Fu, Changsheng Li, Jiang Liu:
JointRCNN: A Region-Based Convolutional Neural Network for Optic Disc and Cup Segmentation. IEEE Trans. Biomed. Eng. 67(2): 335-343 (2020) - [j42]Bo Peng, Jianjun Lei, Huazhu Fu, Changqing Zhang, Tat-Seng Chua, Xuelong Li:
Unsupervised Video Action Clustering via Motion-Scene Interaction Constraint. IEEE Trans. Circuits Syst. Video Technol. 30(1): 131-144 (2020) - [j41]Changqing Zhang, Ziwei Yu, Huazhu Fu, Pengfei Zhu, Lei Chen, Qinghua Hu:
Hybrid Noise-Oriented Multilabel Learning. IEEE Trans. Cybern. 50(6): 2837-2850 (2020) - [j40]Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Mani Baskaran, Meenakshi Mahesh, Tin Aung, Jiang Liu:
Angle-Closure Detection in Anterior Segment OCT Based on Multilevel Deep Network. IEEE Trans. Cybern. 50(7): 3358-3366 (2020) - [j39]Runmin Cong, Jianjun Lei, Huazhu Fu, Junhui Hou, Qingming Huang, Sam Kwong:
Going From RGB to RGBD Saliency: A Depth-Guided Transformation Model. IEEE Trans. Cybern. 50(8): 3627-3639 (2020) - [j38]Bo Peng, Jianjun Lei, Huazhu Fu, Ling Shao, Qingming Huang:
A Recursive Constrained Framework for Unsupervised Video Action Clustering. IEEE Trans. Ind. Informatics 16(1): 555-565 (2020) - [j37]Chuan Wang, Huazhu Fu, Liang Yang, Xiaochun Cao:
Text Co-Detection in Multi-View Scene. IEEE Trans. Image Process. 29: 4627-4642 (2020) - [j36]Jun Cheng, Huazhu Fu, Delia Cabrera DeBuc, Jie Tian:
Guest Editorial Ophthalmic Image Analysis and Informatics. IEEE J. Biomed. Health Informatics 24(12): 3335-3337 (2020) - [j35]Xuelin Qian, Huazhu Fu, Weiya Shi, Tao Chen, Yanwei Fu, Fei Shan, Xiangyang Xue:
M$^3$Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging. IEEE J. Biomed. Health Informatics 24(12): 3539-3550 (2020) - [j34]Tianyang Zhang, Jun Cheng, Huazhu Fu, Zaiwang Gu, Yuting Xiao, Kang Zhou, Shenghua Gao, Rui Zheng, Jiang Liu:
Noise Adaptation Generative Adversarial Network for Medical Image Analysis. IEEE Trans. Medical Imaging 39(4): 1149-1159 (2020) - [j33]Tianyang Miller, Jun Cheng, Huazhu Fu, Zaiwang Gu, Yuting Xiao, Kang Zhou, Shenghua Gao, Ru Zheng, Jiang Liu:
Correction to "Noise Adaptation Generative Adversarial Network for Medical Image Analysis". IEEE Trans. Medical Imaging 39(7): 2566-2567 (2020) - [j32]Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images. IEEE Trans. Medical Imaging 39(8): 2626-2637 (2020) - [j31]Tao Zhou, Huazhu Fu, Geng Chen, Jianbing Shen, Ling Shao:
Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis. IEEE Trans. Medical Imaging 39(9): 2772-2781 (2020) - [j30]Chongyi Li, Chunle Guo, Jichang Guo, Ping Han, Huazhu Fu, Runmin Cong:
PDR-Net: Perception-Inspired Single Image Dehazing Network With Refinement. IEEE Trans. Multim. 22(3): 704-716 (2020) - [c50]Deng-Ping Fan, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Huazhu Fu, Ming-Ming Cheng:
Taking a Deeper Look at Co-Salient Object Detection. CVPR 2020: 2916-2926 - [c49]Tao Zhou, Huazhu Fu, Chen Gong, Jianbing Shen, Ling Shao, Fatih Porikli:
Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation. CVPR 2020: 10274-10283 - [c48]Kang Zhou, Shenghua Gao, Jun Cheng, Zaiwang Gu, Huazhu Fu, Zhi Tu, Jianlong Yang, Yitian Zhao, Jiang Liu:
Sparse-Gan: Sparsity-Constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image. ISBI 2020: 1227-1231 - [c47]Zhi Tu, Shenghua Gao, Kang Zhou, Xianing Chen, Huazhu Fu, Zaiwang Gu, Jun Cheng, Zehao Yu, Jiang Liu:
SUNet: A Lesion Regularized Model for Simultaneous Diabetic Retinopathy and Diabetic Macular Edema Grading. ISBI 2020: 1378-1382 - [c46]Ge-Peng Ji, Deng-Ping Fan, Tao Zhou, Geng Chen, Huazhu Fu, Ling Shao:
Automatic Polyp Segmentation via Parallel Reverse Attention Network. MediaEval 2020 - [c45]Lei Zhu, Rongzhen Chen, Huazhu Fu, Cong Xie, Liansheng Wang, Liang Wan, Pheng-Ann Heng:
A Second-Order Subregion Pooling Network for Breast Lesion Segmentation in Ultrasound. MICCAI (6) 2020: 160-170 - [c44]Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao:
M2 Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. MICCAI (2) 2020: 221-231 - [c43]Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
PraNet: Parallel Reverse Attention Network for Polyp Segmentation. MICCAI (6) 2020: 263-273 - [c42]Jinkui Hao, Huazhu Fu, Yanwu Xu, Yan Hu, Fei Li, Xiulan Zhang, Jiang Liu, Yitian Zhao:
Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT. MICCAI (5) 2020: 704-714 - [c41]Huaying Hao, Huazhu Fu, Yanwu Xu, Jianlong Yang, Fei Li, Xiulan Zhang, Jiang Liu, Yitian Zhao:
Open-Appositional-Synechial Anterior Chamber Angle Classification in AS-OCT Sequences. MICCAI (5) 2020: 715-724 - [c40]Shihao Zhang, Huazhu Fu, Yanwu Xu, Yanxia Liu, Mingkui Tan:
Retinal Image Segmentation with a Structure-Texture Demixing Network. MICCAI (5) 2020: 765-774 - [c39]Chongyi Li, Huazhu Fu, Runmin Cong, Zechao Li, Qianqian Xu:
NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal. ACM Multimedia 2020: 1478-1487 - [c38]Yupeng Cheng, Xingxing Wei, Huazhu Fu, Shang-Wei Lin, Weisi Lin:
Defense for adversarial videos by self-adaptive JPEG compression and optical texture. MMAsia 2020: 55:1-55:7 - [e2]Huazhu Fu, Mona Kathryn Garvin, Tom J. MacGillivray, Yanwu Xu, Yalin Zheng:
Ophthalmic Medical Image Analysis - 7th International Workshop, OMIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12069, Springer 2020, ISBN 978-3-030-63418-6 [contents] - [i39]Tao Zhou, Huazhu Fu, Geng Chen, Jianbing Shen, Ling Shao:
Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis. CoRR abs/2002.05000 (2020) - [i38]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. CoRR abs/2003.13969 (2020) - [i37]Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans. CoRR abs/2004.14133 (2020) - [i36]Huazhu Fu, Fei Li, Xu Sun, Xingxing Cao, Jingan Liao, José Ignacio Orlando, Xing Tao, Yuexiang Li, Shihao Zhang, Mingkui Tan, Chenglang Yuan, Cheng Bian, Ruitao Xie, Jiongcheng Li, Xiaomeng Li, Jing Wang, Le Geng, Panming Li, Huaying Hao, Jiang Liu, Yan Kong, Yongyong Ren, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. CoRR abs/2005.02258 (2020) - [i35]Ziyi Shen, Huazhu Fu, Jianbing Shen, Ling Shao:
Understanding and Correcting Low-quality Retinal Fundus Images for Clinical Analysis. CoRR abs/2005.05594 (2020) - [i34]Jinkui Hao, Huazhu Fu, Yanwu Xu, Yan Hu, Fei Li, Xiulan Zhang, Jiang Liu, Yitian Zhao:
Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT. CoRR abs/2006.05179 (2020) - [i33]Huaying Hao, Huazhu Fu, Yanwu Xu, Jianlong Yang, Fei Li, Xiulan Zhang, Jiang Liu, Yitian Zhao:
Open-Narrow-Synechiae Anterior Chamber Angle Classification in AS-OCT Sequences. CoRR abs/2006.05367 (2020) - [i32]Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao:
M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. CoRR abs/2006.10135 (2020) - [i31]Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
PraNet: Parallel Reverse Attention Network for Polyp Segmentation. CoRR abs/2006.11392 (2020) - [i30]Deng-Ping Fan, Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng, Huazhu Fu, Jianbing Shen:
Re-thinking Co-Salient Object Detection. CoRR abs/2007.03380 (2020) - [i29]Yuhui Ma, Huaying Hao, Huazhu Fu, Jiong Zhang, Jianlong Yang, Jiang Liu, Yalin Zheng, Yitian Zhao:
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model. CoRR abs/2007.05201 (2020) - [i28]Shihao Zhang, Huazhu Fu, Yanwu Xu, Yanxia Liu, Mingkui Tan:
Retinal Image Segmentation with a Structure-Texture Demixing Network. CoRR abs/2008.00817 (2020) - [i27]Chongyi Li, Huazhu Fu, Runmin Cong, Zechao Li, Qianqian Xu:
NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal. CoRR abs/2008.02984 (2020) - [i26]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. CoRR abs/2009.09231 (2020) - [i25]Xuelin Qian, Huazhu Fu, Weiya Shi, Tao Chen, Yanwei Fu, Fei Shan, Xiangyang Xue:
M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging. CoRR abs/2010.03201 (2020) - [i24]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:
CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging. CoRR abs/2010.07486 (2020) - [i23]Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu:
Deep Partial Multi-View Learning. CoRR abs/2011.06170 (2020) - [i22]Zhi-Qin Zhan, Huazhu Fu, Yan-Yao Yang, Jingjing Chen, Jie Liu, Yu-Gang Jiang:
Colonoscopy Polyp Detection: Domain Adaptation From Medical Report Images to Real-time Videos. CoRR abs/2012.15531 (2020)
2010 – 2019
- 2019
- [j29]Ling Du, Wei Zhang, Huazhu Fu, Wenqi Ren, Xinpeng Zhang:
An efficient privacy protection scheme for data security in video surveillance. J. Vis. Commun. Image Represent. 59: 347-362 (2019) - [j28]Jianjun Lei, Lijie Niu, Huazhu Fu, Bo Peng, Qingming Huang, Chunping Hou:
Person Re-Identification by Semantic Region Representation and Topology Constraint. IEEE Trans. Circuits Syst. Video Technol. 29(8): 2453-2466 (2019) - [j27]Runmin Cong, Jianjun Lei, Huazhu Fu, Ming-Ming Cheng, Weisi Lin, Qingming Huang:
Review of Visual Saliency Detection With Comprehensive Information. IEEE Trans. Circuits Syst. Video Technol. 29(10): 2941-2959 (2019) - [j26]Runmin Cong, Jianjun Lei, Huazhu Fu, Weisi Lin, Qingming Huang, Xiaochun Cao, Chunping Hou:
An Iterative Co-Saliency Framework for RGBD Images. IEEE Trans. Cybern. 49(1): 233-246 (2019) - [j25]Chunle Guo, Chongyi Li, Jichang Guo, Runmin Cong, Huazhu Fu, Ping Han:
Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution. IEEE Trans. Image Process. 28(5): 2545-2557 (2019) - [j24]Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu:
Multi-View Saliency-Guided Clustering for Image Cosegmentation. IEEE Trans. Image Process. 28(9): 4634-4645 (2019) - [j23]Runmin Cong, Jianjun Lei, Huazhu Fu, Fatih Porikli, Qingming Huang, Chunping Hou:
Video Saliency Detection via Sparsity-Based Reconstruction and Propagation. IEEE Trans. Image Process. 28(10): 4819-4831 (2019) - [j22]Zaiwang Gu, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao, Jiang Liu:
CE-Net: Context Encoder Network for 2D Medical Image Segmentation. IEEE Trans. Medical Imaging 38(10): 2281-2292 (2019) - [j21]Runmin Cong, Jianjun Lei, Huazhu Fu, Qingming Huang, Xiaochun Cao, Nam Ling:
HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images. IEEE Trans. Multim. 21(7): 1660-1671 (2019) - [c37]Changqing Zhang, Yeqing Liu, Huazhu Fu:
AE2-Nets: Autoencoder in Autoencoder Networks. CVPR 2019: 2577-2585 - [c36]Huaying Hao, Yitian Zhao, Huazhu Fu, Qiaoling Shang, Fei Li, Xiulan Zhang, Jiang Liu:
Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks. EMBC 2019: 849-852 - [c35]Jimmy Addison Lee, Peng Liu, Jun Cheng, Huazhu Fu:
A Deep Step Pattern Representation for Multimodal Retinal Image Registration. ICCV 2019: 5076-5085 - [c34]Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, Qinghua Hu:
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering. ICCV 2019: 8171-8179 - [c33]Huazhu Fu, Boyang Wang, Jianbing Shen, Shanshan Cui, Yanwu Xu, Jiang Liu, Ling Shao:
Evaluation of Retinal Image Quality Assessment Networks in Different Color-Spaces. MICCAI (1) 2019: 48-56 - [c32]Tao Zhou, Kim-Han Thung, Yu Zhang, Huazhu Fu, Jianbing Shen, Dinggang Shen, Ling Shao:
Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction. MICCAI (4) 2019: 186-195 - [c31]Lixi Deng, Sheng Tang, Huazhu Fu, Bin Wang, Yongdong Zhang:
Spatiotemporal Breast Mass Detection Network (MD-Net) in 4D DCE-MRI Images. MICCAI (4) 2019: 271-279 - [c30]Zhijie Zhang, Huazhu Fu, Hang Dai, Jianbing Shen, Yanwei Pang, Ling Shao:
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation. MICCAI (1) 2019: 442-450 - [c29]Tao Zhou, Mingxia Liu, Huazhu Fu, Jun Wang, Jianbing Shen, Ling Shao, Dinggang Shen:
Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis. MICCAI (4) 2019: 629-638 - [c28]Tianyang Zhang, Huazhu Fu, Yitian Zhao, Jun Cheng, Mengjie Guo, Zaiwang Gu, Bing Yang, Yuting Xiao, Shenghua Gao, Jiang Liu:
SkrGAN: Sketching-Rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis. MICCAI (4) 2019: 777-785 - [c27]Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu:
Attention Guided Network for Retinal Image Segmentation. MICCAI (1) 2019: 797-805 - [c26]Changqing Zhang, Zongbo Han, Yajie Cui, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
CPM-Nets: Cross Partial Multi-View Networks. NeurIPS 2019: 557-567 - [p1]Huazhu Fu, Jun Cheng, Yanwu Xu, Jiang Liu:
Glaucoma Detection Based on Deep Learning Network in Fundus Image. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 119-137 - [e1]Huazhu Fu, Mona Kathryn Garvin, Tom J. MacGillivray, Yanwu Xu, Yalin Zheng:
Ophthalmic Medical Image Analysis - 6th International Workshop, OMIA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, Proceedings. Lecture Notes in Computer Science 11855, Springer 2019, ISBN 978-3-030-32955-6 [contents] - [i21]Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Mani Baskaran, Meenakshi Mahesh, Tin Aung, Jiang Liu:
Angle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network. CoRR abs/1902.03585 (2019) - [i20]Zaiwang Gu, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao, Jiang Liu:
CE-Net: Context Encoder Network for 2D Medical Image Segmentation. CoRR abs/1903.02740 (2019) - [i19]Wenguan Wang, Qiuxia Lai, Huazhu Fu, Jianbing Shen, Haibin Ling:
Salient Object Detection in the Deep Learning Era: An In-Depth Survey. CoRR abs/1904.09146 (2019) - [i18]Huazhu Fu, Boyang Wang, Jianbing Shen, Shanshan Cui, Yanwu Xu, Jiang Liu, Ling Shao:
Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces. CoRR abs/1907.05345 (2019) - [i17]Zhijie Zhang, Huazhu Fu, Hang Dai, Jianbing Shen, Yanwei Pang, Ling Shao:
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation. CoRR abs/1907.10936 (2019) - [i16]Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu:
Attention Guided Network for Retinal Image Segmentation. CoRR abs/1907.12930 (2019) - [i15]Tianyang Zhang, Huazhu Fu, Yitian Zhao, Jun Cheng, Mengjie Guo, Zaiwang Gu, Bing Yang, Yuting Xiao, Shenghua Gao, Jiang Liu:
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis. CoRR abs/1908.04346 (2019) - [i14]José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton van den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yong-Li Xu, Pengshuai Yin, Fei Li, Xiulan Zhang, Yanwu Xu, Hrvoje Bogunovic:
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. CoRR abs/1910.03667 (2019) - [i13]Kang Zhou, Shenghua Gao, Jun Cheng, Zaiwang Gu, Huazhu Fu, Zhi Tu, Jianlong Yang, Yitian Zhao, Jiang Liu:
Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image. CoRR abs/1911.12527 (2019) - 2018
- [j20]Chongyi Li, Jichang Guo, Fatih Porikli, Huazhu Fu, Yanwei Pang:
A Cascaded Convolutional Neural Network for Single Image Dehazing. IEEE Access 6: 24877-24887 (2018) - [j19]Runmin Cong, Jianjun Lei, Huazhu Fu, Qingming Huang, Xiaochun Cao, Chunping Hou:
Co-Saliency Detection for RGBD Images Based on Multi-Constraint Feature Matching and Cross Label Propagation. IEEE Trans. Image Process. 27(2): 568-579 (2018) - [j18]Dingwen Zhang, Huazhu Fu, Junwei Han, Ali Borji, Xuelong Li:
A Review of Co-Saliency Detection Algorithms: Fundamentals, Applications, and Challenges. ACM Trans. Intell. Syst. Technol. 9(4): 38:1-38:31 (2018) - [j17]Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao:
Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation. IEEE Trans. Medical Imaging 37(7): 1597-1605 (2018) - [j16]Huazhu Fu, Jun Cheng, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao:
Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image. IEEE Trans. Medical Imaging 37(11): 2493-2501 (2018) - [j15]Jun Cheng, Zhengguo Li, Zaiwang Gu, Huazhu Fu, Damon Wing Kee Wong, Jiang Liu:
Structure-Preserving Guided Retinal Image Filtering and Its Application for Optic Disk Analysis. IEEE Trans. Medical Imaging 37(11): 2536-2546 (2018) - [c25]Huiying Liu, Damon Wing Kee Wong, Huazhu Fu, Yanwu Xu, Jiang Liu:
DeepAMD: Detect Early Age-Related Macular Degeneration by Applying Deep Learning in a Multiple Instance Learning Framework. ACCV (5) 2018: 625-640 - [c24]Yuming Jiang, Hu Xia, Yanwu Xu, Jun Cheng, Huazhu Fu, Lixin Duan, Zhigang Meng, Jiang Liu:
Optic Disc and Cup Segmentation with Blood Vessel Removal from Fundus Images for Glaucoma Detection. EMBC 2018: 862-865 - [c23]Liang Yang, Yuanfang Guo, Di Jin, Huazhu Fu, Xiaochun Cao:
3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces. IJCAI 2018: 3613-3619 - [c22]Yanwu Xu, Lixin Duan, Huazhu Fu, Zhuo Zhang, Wei Zhao, Tianyuan You, Tien Yin Wong, Jiang Liu:
Ocular disease detection from multiple informatics domains. ISBI 2018: 43-47 - [c21]Xu Sun, Yanwu Xu, Mingkui Tan, Huazhu Fu, Wei Zhao, Tianyuan You, Jiang Liu:
Localizing Optic Disc and Cup for Glaucoma Screening via Deep Object Detection Networks. COMPAY/OMIA@MICCAI 2018: 236-244 - [c20]Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Mani Baskaran, Meenakshi Mahesh, Tin Aung, Jiang Liu:
Multi-context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT. MICCAI (2) 2018: 356-363 - [i12]Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao:
Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation. CoRR abs/1801.00926 (2018) - [i11]Runmin Cong, Jianjun Lei, Huazhu Fu, Ming-Ming Cheng, Weisi Lin, Qingming Huang:
Review of Visual Saliency Detection with Comprehensive Information. CoRR abs/1803.03391 (2018) - [i10]Chongyi Li, Jichang Guo, Fatih Porikli, Huazhu Fu, Yanwei Pang:
A Cascaded Convolutional Neural Network for Single Image Dehazing. CoRR abs/1803.07955 (2018) - [i9]Jun Cheng, Zhengguo Li, Zaiwang Gu, Huazhu Fu, Damon Wing Kee Wong, Jiang Liu:
Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis. CoRR abs/1805.06625 (2018) - [i8]Huazhu Fu, Jun Cheng, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao:
Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image. CoRR abs/1805.07549 (2018) - [i7]Jianjun Lei, Lijie Niu, Huazhu Fu, Bo Peng, Qingming Huang, Chunping Hou:
Person Re-Identification by Semantic Region Representation and Topology Constraint. CoRR abs/1808.06280 (2018) - [i6]Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Mani Baskaran, Meenakshi Mahesh, Tin Aung, Jiang Liu:
Multi-Context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT. CoRR abs/1809.03239 (2018) - [i5]Runmin Cong, Jianjun Lei, Huazhu Fu, Qingming Huang, Xiaochun Cao, Nam Ling:
HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images. CoRR abs/1811.06679 (2018) - 2017
- [j14]Changqing Zhang, Huazhu Fu, Qinghua Hu, Pengfei Zhu, Xiaochun Cao:
Flexible Multi-View Dimensionality Co-Reduction. IEEE Trans. Image Process. 26(2): 648-659 (2017) - [j13]Huazhu Fu, Dong Xu, Stephen Lin:
Object-Based Multiple Foreground Segmentation in RGBD Video. IEEE Trans. Image Process. 26(3): 1418-1427 (2017) - [j12]Huazhu Fu, Yanwu Xu, Stephen Lin, Xiaoqin Zhang, Damon Wing Kee Wong, Jiang Liu, Alejandro F. Frangi, Mani Baskaran, Tin Aung:
Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCT. IEEE Trans. Medical Imaging 36(9): 1930-1938 (2017) - [c19]Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu:
Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity. AAAI 2017: 4285-4291 - [c18]Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu, Xiaochun Cao:
Latent Multi-view Subspace Clustering. CVPR 2017: 4333-4341 - [c17]Jimmy Addison Lee, Mengdi Xu, Jun Cheng, Huazhu Fu, Damon Wing Kee Wong, Nicolas Foin:
Extract-and-match geometric corner and step pattern approach for registration of fluoroscopic X-ray sequences. EMBC 2017: 568-571 - [c16]Zhantao Cao, Lixin Duan, Guowu Yang, Ting Yue, Qin Chen, Huazhu Fu, Yanwu Xu:
Breast Tumor Detection in Ultrasound Images Using Deep Learning. Patch-MI@MICCAI 2017: 121-128 - [i4]Runmin Cong, Jianjun Lei, Huazhu Fu, Qingming Huang, Xiaochun Cao, Chunping Hou:
Co-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation. CoRR abs/1710.05172 (2017) - [i3]Runmin Cong, Jianjun Lei, Huazhu Fu, Weisi Lin, Qingming Huang, Xiaochun Cao, Chunping Hou:
An Iterative Co-Saliency Framework for RGBD Images. CoRR abs/1711.01371 (2017) - [i2]Chongyi Li, Jichang Guo, Fatih Porikli, Chunle Guo, Huazhu Fu, Xi Li:
DR-Net: Transmission Steered Single Image Dehazing Network with Weakly Supervised Refinement. CoRR abs/1712.00621 (2017) - 2016
- [j11]Xiaochun Cao, Feng Wang, Bao Zhang, Huazhu Fu, Chao Li:
Unsupervised pixel-level video foreground object segmentation via shortest path algorithm. Neurocomputing 172: 235-243 (2016) - [j10]Xiaochun Cao, Changqing Zhang, Huazhu Fu, Xiaojie Guo, Qi Tian:
Saliency-Aware Nonparametric Foreground Annotation Based on Weakly Labeled Data. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1253-1265 (2016) - [c15]Huazhu Fu, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, Mani Baskaran, Shamira A. Perera, Tin Aung:
Automatic anterior chamber angle structure segmentation in AS-OCT image based on label transfer. EMBC 2016: 1288-1291 - [c14]Huazhu Fu, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu:
Retinal vessel segmentation via deep learning network and fully-connected conditional random fields. ISBI 2016: 698-701 - [c13]Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Jiang Liu:
DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field. MICCAI (2) 2016: 132-139 - [c12]Yanwu Xu, Lixin Duan, Huazhu Fu, Xiaoqin Zhang, Damon Wing Kee Wong, Mani Baskaran, Tin Aung, Jiang Liu:
Axial Alignment for Anterior Segment Swept Source Optical Coherence Tomography via Robust Low-Rank Tensor Recovery. MICCAI (3) 2016: 441-449 - [i1]Dingwen Zhang, Huazhu Fu, Junwei Han, Feng Wu:
A Review of Co-saliency Detection Technique: Fundamentals, Applications, and Challenges. CoRR abs/1604.07090 (2016) - 2015
- [j9]Huazhu Fu, Dong Xu, Stephen Lin, Damon Wing Kee Wong, Jiang Liu:
Automatic Optic Disc Detection in OCT Slices via Low-Rank Reconstruction. IEEE Trans. Biomed. Eng. 62(4): 1151-1158 (2015) - [j8]Huazhu Fu, Dong Xu, Bao Zhang, Stephen Lin, Rabab K. Ward:
Object-Based Multiple Foreground Video Co-Segmentation via Multi-State Selection Graph. IEEE Trans. Image Process. 24(11): 3415-3424 (2015) - [j7]Xiaochun Cao, Changqing Zhang, Chengju Zhou, Huazhu Fu, Hassan Foroosh:
Constrained Multi-View Video Face Clustering. IEEE Trans. Image Process. 24(11): 4381-4393 (2015) - [c11]Xiaochun Cao, Changqing Zhang, Huazhu Fu, Si Liu, Hua Zhang:
Diversity-induced Multi-view Subspace Clustering. CVPR 2015: 586-594 - [c10]Huazhu Fu, Dong Xu, Stephen Lin, Jiang Liu:
Object-based RGBD image co-segmentation with mutex constraint. CVPR 2015: 4428-4436 - [c9]Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu, Xiaochun Cao:
Low-Rank Tensor Constrained Multiview Subspace Clustering. ICCV 2015: 1582-1590 - [c8]Chengju Zhou, Changqing Zhang, Huazhu Fu, Rui Wang, Xiaochun Cao:
Multi-cue Augmented Face Clustering. ACM Multimedia 2015: 1095-1098 - 2014
- [j6]Huazhu Fu, Xiaochun Cao, Zhuowen Tu, Dongdai Lin:
Symmetry Constraint for Foreground Extraction. IEEE Trans. Cybern. 44(5): 644-654 (2014) - [j5]Xiaochun Cao, Zhiqiang Tao, Bao Zhang, Huazhu Fu, Wei Feng:
Self-Adaptively Weighted Co-Saliency Detection via Rank Constraint. IEEE Trans. Image Process. 23(9): 4175-4186 (2014) - [j4]Huazhu Fu, Xiaochun Cao, Dai Tang, Yahong Han, Dong Xu:
Regularity Preserved Superpixels and Supervoxels. IEEE Trans. Multim. 16(4): 1165-1175 (2014) - [c7]Huazhu Fu, Dong Xu, Bao Zhang, Stephen Lin:
Object-Based Multiple Foreground Video Co-segmentation. CVPR 2014: 3166-3173 - [c6]Yupeng Cheng, Huazhu Fu, Xingxing Wei, Jiangjian Xiao, Xiaochun Cao:
Depth Enhanced Saliency Detection Method. ICIMCS 2014: 23 - [c5]Xiaochun Cao, Yupeng Cheng, Zhiqiang Tao, Huazhu Fu:
Co-Saliency Detection via Base Reconstruction. ACM Multimedia 2014: 997-1000 - 2013
- [j3]Huazhu Fu, Xiaochun Cao, Zhuowen Tu:
Cluster-Based Co-Saliency Detection. IEEE Trans. Image Process. 22(10): 3766-3778 (2013) - [c4]Xiaochun Cao, Zhiqiang Tao, Bao Zhang, Huazhu Fu, Xuewei Li:
Saliency map fusion based on rank-one constraint. ICME 2013: 1-6 - 2012
- [j2]Huazhu Fu, Xiaochun Cao:
Forgery Authentication in Extreme Wide-Angle Lens Using Distortion Cue and Fake Saliency Map. IEEE Trans. Inf. Forensics Secur. 7(4): 1301-1314 (2012) - [c3]Dai Tang, Huazhu Fu, Xiaochun Cao:
Topology Preserved Regular Superpixel. ICME 2012: 765-768 - [c2]Ling Du, Xiaochun Cao, Muhua Zhang, Huazhu Fu:
Blind Robust Watermarking Mechanism Based on Maxima Curvature of 3D Motion Data. Information Hiding 2012: 110-124 - 2011
- [j1]Huazhu Fu, Zuoliang Cao, Xiaochun Cao:
Embedded omni-vision navigator based on multi-object tracking. Mach. Vis. Appl. 22(2): 349-358 (2011)
2000 – 2009
- 2009
- [c1]Huazhu Fu, Zuoliang Cao, Juha Röning:
Beacon Tracking with an Embedded Omni-vision System. ICNC (5) 2009: 274-278
Coauthor Index
[j110] [j108] [j105] [c128] [i153] [i149] [i146] [j95] [c107] [c105] [c102] [c100] [c98] [c91] [c89] [i113] [i109] [i106] [i103] [i99] [i96] [i92] [i91] [j73] [j66] [j65] [j64] [c75] [c74] [c72] [c71] [c68] [i83] [i75] [i68] [j59] [j57] [j54] [j52] [j49] [c58] [i64] [i56] [i53] [i44] [j43] [j40] [j34] [j33] [c48] [c47] [c42] [c41] [i36] [i34] [i33] [i29] [i24] [j22] [c36] [c33] [c28] [p1] [i21] [i20] [i18] [i15] [i13] [j17] [j16] [j15] [c25] [c24] [c22] [c21] [c20] [i12] [i9] [i8] [i6] [j12] [c15] [c14] [c13] [c12] [j9] [c10]
[c132] [j96] [j95] [c104] [c91] [i114] [i103] [i96] [j73] [j66] [j63] [c76] [e4] [i86] [i85] [i84] [i72] [i70] [i66] [c58] [c57] [e3] [i53] [j46] [j40] [c42] [c41] [c40] [e2] [i38] [i36] [i34] [i33] [i28] [c33] [c27] [p1] [e1] [i21] [i18] [i16] [i14] [j17] [j16] [c25] [c24] [c22] [c21] [c20] [i12] [i8] [i6] [j12] [c16] [c15] [c14] [c13] [c12]
[j114] [j113] [j111] [j101] [i151] [i142] [i139] [j92] [j85] [j76] [c111] [c110] [c109] [c88] [i117] [i115] [i112] [i111] [i110] [i98] [j72] [j69] [c86] [i78] [c60] [c59] [c51] [i63] [i42] [i41] [j48] [j45] [j42] [j41] [c44] [i32] [i23] [c37] [c34] [c26] [j16] [i8] [j14] [c18] [j10] [j7] [c11] [c9] [c8]
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last updated on 2024-11-14 00:49 CET by the dblp team
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