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Tao Zhou 0002
Person information
- affiliation: Nanjing University of Science and Technology, School of Computer Science and Engineering, PCA Lab, China
- affiliation: Inception Institute of Artificial Intelligence, Abu Dhabi, UA
- affiliation (former): University of North Carolina at Chapel Hill, Department of Radiology and Biomedical Research Imaging Center, NC, USA
- affiliation (PhD 2016): Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China
Other persons with the same name
- Tao Zhou — disambiguation page
- Tao Zhou 0001
— Hangzhou Normal University, Institute of Information Economy, China (and 2 more)
- Tao Zhou 0003
— Southwest Jiaotong University, School of Physical Science and Technology, Chengdu, China (and 2 more)
- Tao Zhou 0004
— Beijing Jiaotong University, Institute of Broadband Wireless Mobile Communications, China
- Tao Zhou 0005
— Nanjing Medical University, Department of Histology and Embryology, China
- Tao Zhou 0006
— Nanjing Agricultural University, College of Resources and Environmental Sciences, China
- Tao Zhou 0007
— Hangzhou Dianzi University, School of Management, China
- Tao Zhou 0008
— Inner Mongolia University, College of Computer Science / Key Laboratory of Wireless Networking and Mobile Computing, Hohhot, China
- Tao Zhou 0009
— Ningxia Medical University, College of Science, Yinchuan, China (and 1 more)
- Tao Zhou 0010 — Southern University of Science and Technology, Department of Mathematics and International Center for Mathematics, Shenzhen, China (and 1 more)
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2020 – today
- 2024
- [j57]Yizhe Zhang, Tao Zhou, Yuhui Tao
, Shuo Wang
, Ye Wu, Benyuan Liu
, Pengfei Gu
, Qiang Chen
, Danny Z. Chen
:
TestFit: A plug-and-play one-pass test time method for medical image segmentation. Medical Image Anal. 92: 103069 (2024) - [j56]Zhengwang Xia
, Tao Zhou, Saqib Mamoon, Jianfeng Lu
:
Inferring brain causal and temporal-lag networks for recognizing abnormal patterns of dementia. Medical Image Anal. 94: 103133 (2024) - [j55]Yue Ding, Tao Zhou, Lei Xiang, Ye Wu:
Cross-contrast mutual fusion network for joint MRI reconstruction and super-resolution. Pattern Recognit. 154: 110599 (2024) - [j54]Ziming Cheng, Shidong Wang
, Tong Xin
, Tao Zhou, Haofeng Zhang
, Ling Shao
:
Few-Shot Medical Image Segmentation via Generating Multiple Representative Descriptors. IEEE Trans. Medical Imaging 43(6): 2202-2214 (2024) - [j53]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) - [j52]Mingyu Li, Tao Zhou, Bo Han, Tongliang Liu, Xinkai Liang, Jiajia Zhao, Chen Gong:
Class-Wise Contrastive Prototype Learning for Semi-Supervised Classification Under Intersectional Class Mismatch. IEEE Trans. Multim. 26: 8145-8156 (2024) - [j51]Mingyu Li
, Tao Zhou
, Zhuo Huang
, Jian Yang
, Jie Yang
, Chen Gong
:
Dynamic Weighted Adversarial Learning for Semi-Supervised Classification under Intersectional Class Mismatch. ACM Trans. Multim. Comput. Commun. Appl. 20(4): 115:1-115:24 (2024) - [c33]Yuxiang Lai, Yi Zhou, Xinghong Liu, Tao Zhou:
Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation. ICLR 2024 - [i37]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) - [i36]Tianyu Huang, Tao Zhou, Weidi Xie, Shuo Wang, Qi Dou, Yizhe Zhang:
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation. CoRR abs/2406.00956 (2024) - [i35]Yuxin Xie, Tao Zhou, Yi Zhou, Geng Chen:
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues. CoRR abs/2406.19364 (2024) - 2023
- [j50]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) - [j49]Yi Zhou
, Lei Huang, Tao Zhou, Hanshi Sun:
Combating medical noisy labels by disentangled distribution learning and consistency regularization. Future Gener. Comput. Syst. 141: 567-576 (2023) - [j48]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) - [j47]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) - [j46]Feiyi Fang, Tao Zhou, Zhenbo Song
, Jianfeng Lu:
MMCAN: Multi-Modal Cross-Attention Network for Free-Space Detection with Uncalibrated Hyperspectral Sensors. Remote. Sens. 15(4): 1142 (2023) - [j45]Haoran Li
, Chun-Mei Feng
, Yong Xu
, Tao Zhou
, Lina Yao
, Xiaojun Chang
:
Zero-Shot Camouflaged Object Detection. IEEE Trans. Image Process. 32: 5126-5137 (2023) - [j44]Zhengwang Xia
, Tao Zhou
, Saqib Mamoon
, Amani Alfakih, Jianfeng Lu
:
A Structure-Guided Effective and Temporal-Lag Connectivity Network for Revealing Brain Disorder Mechanisms. IEEE J. Biomed. Health Informatics 27(6): 2990-3001 (2023) - [j43]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) - [j42]Geng Chen
, Jie Qin
, Boulbaba Ben Amor, Weiming Zhou, Hang Dai
, Tao Zhou
, Heyuan Huang, Ling Shao
:
Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces. IEEE Trans. Medical Imaging 42(11): 3194-3204 (2023) - [j41]Yonghao Li, Tao Zhou
, Kelei He
, Yi Zhou
, Dinggang Shen
:
Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis. IEEE Trans. Medical Imaging 42(11): 3395-3407 (2023) - [j40]Geng Chen
, Hang Dai
, Tao Zhou
, Jianbing Shen
, Ling Shao
:
Automatic Schelling Point Detection From Meshes. IEEE Trans. Vis. Comput. Graph. 29(6): 2926-2939 (2023) - [c32]Yue Ding
, Tao Zhou
, Ye Wu
:
Cross-contrast Fusion and Aggregation Network for Multi-contrast MRI Super-resolution. ICCAI 2023: 102-107 - [c31]Yizhe Zhang, Tao Zhou, Shuo Wang, Peixian Liang, Yejia Zhang, Danny Z. Chen:
Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 129-139 - [i34]Xinghong Liu, Yi Zhou, Tao Zhou, Jie Qin, Shengcai Liao:
Self-Paced Learning for Open-Set Domain Adaptation. CoRR abs/2303.05933 (2023) - [i33]Tao Zhou, Yizhe Zhang, Yi Zhou, Ye Wu, Chen Gong:
Can SAM Segment Polyps? CoRR abs/2304.07583 (2023) - [i32]Yizhe Zhang, Tao Zhou, Peixian Liang, Danny Z. Chen:
Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model. CoRR abs/2304.11332 (2023) - [i31]Xinghong Liu, Yi Zhou, Tao Zhou, Chun-Mei Feng
, Ling Shao:
COCA: Classifier-Oriented Calibration for Source-Free Universal Domain Adaptation via Textual Prototype. CoRR abs/2308.10450 (2023) - [i30]Yizhe Zhang, Tao Zhou, Shuo Wang, Ye Wu, Pengfei Gu, Danny Z. Chen:
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation. CoRR abs/2308.13759 (2023) - [i29]Tao Zhou, Yizhe Zhang, Geng Chen, Yi Zhou, Ye Wu, Deng-Ping Fan:
Edge-aware Feature Aggregation Network for Polyp Segmentation. CoRR abs/2309.10523 (2023) - [i28]Yuxiang Lai, Xinghong Liu, Tao Zhou, Yi Zhou:
Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation. CoRR abs/2310.05453 (2023) - [i27]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) - [i26]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) - [i25]Yizhe Zhang, Shuo Wang, Tao Zhou, Qi Dou, Danny Z. Chen:
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model. CoRR abs/2312.09899 (2023) - [i24]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
- [j39]Keren Fu, Yao Jiang, Ge-Peng Ji, Tao Zhou, Qijun Zhao, Deng-Ping Fan
:
Light field salient object detection: A review and benchmark. Comput. Vis. Media 8(4): 509-534 (2022) - [j38]Lei Zhou, Shuai Wang, Kun Sun, Tao Zhou, Fuhua Yan, Dinggang Shen:
Three-dimensional affinity learning based multi-branch ensemble network for breast tumor segmentation in MRI. Pattern Recognit. 129: 108723 (2022) - [j37]Lin Li
, Bo Dong, Eric Rigall
, Tao Zhou, Junyu Dong
, Geng Chen
:
Marine Animal Segmentation. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2303-2314 (2022) - [j36]Geng Chen
, Si-Jie Liu, Yujia Sun
, Ge-Peng Ji
, Ya-Feng Wu, Tao Zhou:
Camouflaged Object Detection via Context-Aware Cross-Level Fusion. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6981-6993 (2022) - [j35]Shengwei Zhong
, Tao Zhou, Sheng Wan
, Jian Yang
, Chen Gong
:
Dynamic Spectral-Spatial Poisson Learning for Hyperspectral Image Classification With Extremely Scarce Labels. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j34]Tao Zhou
, Yi Zhou
, Chen Gong
, Jian Yang, Yu Zhang:
Feature Aggregation and Propagation Network for Camouflaged Object Detection. IEEE Trans. Image Process. 31: 7036-7047 (2022) - [j33]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) - [j32]Feiyi Fang
, Yazhou Yao
, Tao Zhou
, Guo-Sen Xie
, Jianfeng Lu
:
Self-Supervised Multi-Modal Hybrid Fusion Network for Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics 26(11): 5310-5320 (2022) - [j31]Xiangmin Han
, Xiaoyan Fei, Jun Wang
, Tao Zhou
, Shihui Ying
, Jun Shi
, Dinggang Shen
:
Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities. IEEE Trans. Medical Imaging 41(8): 2009-2020 (2022) - [j30]Yu Zhang
, Tao Zhou, Wei Wu
, Hua Xie
, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki:
Improving EEG Decoding via Clustering-Based Multitask Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3587-3597 (2022) - [c30]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 - [c29]Yongliang Ding, Tao Zhou, Chuang Zhang, Yijing Luo, Juan Tang, Chen Gong:
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation. SDM 2022: 253-261 - [i23]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) - [i22]Yongliang Ding, Tao Zhou, Chuang Zhang, Yijing Luo, Juan Tang, Chen Gong:
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation. CoRR abs/2203.10858 (2022) - [i21]Geng Chen, Si-Jie Liu, Yujia Sun, Ge-Peng Ji, Ya-Feng Wu, Tao Zhou:
Camouflaged Object Detection via Context-aware Cross-level Fusion. CoRR abs/2207.13362 (2022) - [i20]He Zhang, Ran Zhang, Tao Zhou:
Learning high dimensional stochastic partial differential equations in a predictor-corrector framework. CoRR abs/2208.09883 (2022) - [i19]Haoran Li, Chun-Mei Feng
, Tao Zhou, Yong Xu, Xiaojun Chang:
Prompt-driven efficient Open-set Semi-supervised Learning. CoRR abs/2209.14205 (2022) - [i18]Zhengwang Xia, Tao Zhou, Saqib Mamoon, Amani Alfakih, Jianfeng Lu:
A Structure-guided Effective and Temporal-lag Connectivity Network for Revealing Brain Disorder Mechanisms. CoRR abs/2212.00555 (2022) - [i17]Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang:
Feature Aggregation and Propagation Network for Camouflaged Object Detection. CoRR abs/2212.00990 (2022) - [i16]Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen:
SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis. CoRR abs/2212.01108 (2022) - 2021
- [j29]Tao Zhou, Deng-Ping Fan
, Ming-Ming Cheng
, Jianbing Shen, Ling Shao:
RGB-D salient object detection: A survey. Comput. Vis. Media 7(1): 37-69 (2021) - [j28]Zhou Huang, Huai-Xin Chen, Tao Zhou, Yun-Zhi Yang, Bi-Yuan Liu:
Multi-level cross-modal interaction network for RGB-D salient object detection. Neurocomputing 452: 200-211 (2021) - [j27]Yanbei Liu, Lianxi Fan, Changqing Zhang, Tao Zhou, Zhitao Xiao, Lei Geng
, Dinggang Shen:
Incomplete multi-modal representation learning for Alzheimer's disease diagnosis. Medical Image Anal. 69: 101953 (2021) - [j26]Zhou Huang
, Huai-Xin Chen, Tao Zhou, Yun-Zhi Yang, Chang-Yin Wang, Bi-Yuan Liu:
Contrast-weighted dictionary learning based saliency detection for VHR optical remote sensing images. Pattern Recognit. 113: 107757 (2021) - [j25]Xiaocong Chen
, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang:
Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images. Pattern Recognit. 113: 107826 (2021) - [j24]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) - [c28]Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu
, Ling Shao:
Visual-Textual Attentive Semantic Consistency for Medical Report Generation. ICCV 2021: 3965-3974 - [c27]Tao Zhou, Huazhu Fu
, Geng Chen, Yi Zhou, Deng-Ping Fan
, Ling Shao:
Specificity-preserving RGB-D Saliency Detection. ICCV 2021: 4661-4671 - [c26]Yi Zhou, Lei Huang, Tao Zhou, Ling Shao:
CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis. ICCV 2021: 8240-8250 - [c25]Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang
, Nian Liu:
Context-aware Cross-level Fusion Network for Camouflaged Object Detection. IJCAI 2021: 1025-1031 - [c24]Xukun Zhang
, Zhiming Cui, Changan Chen, Jie Wei, Jingjiao Lou, Wenxin Hu, He Zhang, Tao Zhou, Feng Shi
, Dinggang Shen:
Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images. MICCAI (3) 2021: 584-593 - [i15]Kelei He, Wen Ji, Tao Zhou, Zhuoyuan Li, Jing Huo, Xin Zhang, Yang Gao, Dinggang Shen, Bing Zhang, Junfeng Zhang:
Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation. CoRR abs/2105.07715 (2021) - [i14]Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu:
Context-aware Cross-level Fusion Network for Camouflaged Object Detection. CoRR abs/2105.12555 (2021) - [i13]Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao:
Specificity-preserving RGB-D Saliency Detection. CoRR abs/2108.08162 (2021) - 2020
- [j23]Wenjing Du
, Olatunji Mumini Omisore
, Wenke Duan
, Tao Zhou, Xiaodan Lv, Yifa Li, Shipeng Han
, Yousef Al-Handarish
, Qiuhua Liu, Lei Wang:
Exploration of Interventionists' Technical Manipulation Skills for Robot-Assisted Intravascular PCI Catheterization. IEEE Access 8: 53750-53765 (2020) - [j22]Tao Zhou, Kim-Han Thung, Mingxia Liu
, Feng Shi
, Changqing Zhang, Dinggang Shen:
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data. Medical Image Anal. 60 (2020) - [j21]Na Liu
, Tao Zhou, Yunfeng Ji, Ziyi Zhao, Lihong Wan:
Synthesizing Talking Faces from Text and Audio: An Autoencoder and Sequence-to-Sequence Convolutional Neural Network. Pattern Recognit. 102: 107231 (2020) - [j20]Tao Zhou
, Changqing Zhang
, Chen Gong
, Harish Bhaskar
, Jie Yang
:
Multiview Latent Space Learning With Feature Redundancy Minimization. IEEE Trans. Cybern. 50(4): 1655-1668 (2020) - [j19]Tao Zhou
, Changqing Zhang
, Xi Peng
, Harish Bhaskar, Jie Yang
:
Dual Shared-Specific Multiview Subspace Clustering. IEEE Trans. Cybern. 50(8): 3517-3530 (2020) - [j18]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) - [j17]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) - [c23]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 - [c22]Ge-Peng Ji, Deng-Ping Fan, Tao Zhou, Geng Chen, Huazhu Fu, Ling Shao:
Automatic Polyp Segmentation via Parallel Reverse Attention Network. MediaEval 2020 - [c21]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 - [c20]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 - [i12]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) - [i11]Olatunji Mumini Omisore, Wenjing Du, Tao Zhou, Shipeng Han, Kamen Ivanov, Yousef Al-Handarish, Lei Wang:
Exploration of Surgeons' Natural Skills for Robotic Catheterization. CoRR abs/2003.04291 (2020) - [i10]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) - [i9]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) - [i8]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) - [i7]Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang:
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images. CoRR abs/2006.13276 (2020) - [i6]Zhou Huang, Huai-Xin Chen, Tao Zhou, Yun-Zhi Yang, Chang-Yin Wang:
Multi-level Cross-modal Interaction Network for RGB-D Salient Object Detection. CoRR abs/2007.14352 (2020) - [i5]Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
RGB-D Salient Object Detection: A Survey. CoRR abs/2008.00230 (2020) - [i4]Yao Jiang, Tao Zhou, Ge-Peng Ji, Keren Fu, Qijun Zhao, Deng-Ping Fan:
Light Field Salient Object Detection: A Review and Benchmark. CoRR abs/2010.04968 (2020) - [i3]Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki:
Improving EEG Decoding via Clustering-based Multi-task Feature Learning. CoRR abs/2012.06813 (2020)
2010 – 2019
- 2019
- [j16]Tao Zhou
, Kim-Han Thung, Mingxia Liu
, Dinggang Shen
:
Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model. IEEE Trans. Biomed. Eng. 66(1): 165-175 (2019) - [j15]Tao Zhou
, Mingxia Liu
, Kim-Han Thung, Dinggang Shen
:
Latent Representation Learning for Alzheimer's Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data. IEEE Trans. Medical Imaging 38(10): 2411-2422 (2019) - [c19]Tao Zhou, Olatunji Mumini Omisore
, Wenjing Du, Lei Wang, Yuan Zhang:
Adapting Random Forest Classifier Based on Single and Multiple Features for Surface Electromyography Signal Recognition. CISP-BMEI 2019: 1-6 - [c18]Olatunji Mumini Omisore
, Shipeng Han, Tao Zhou, Yousef Al-Handarish, Wenjing Du, Kamen Ivanov, Lei Wang:
Learning-based Parameter Estimation for Hysteresis Modeling in Robotic Catheterization. EMBC 2019: 5399-5402 - [c17]Tao Zhou, Olatunji Mumini Omisore
, Wenjing Du
, Wenke Duan, Yuan Zhang, Lei Wang:
A Preliminary Study on Surface Electromyography Signal Analysis for Motion Characterization During Catheterization. ICIRA (3) 2019: 617-628 - [c16]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 - [c15]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 - [c14]Jun Wang, Ying Zhang, Tao Zhou, Zhaohong Deng, Huifang Huang, Shitong Wang, Jun Shi, Dinggang Shen:
Interpretable Feature Learning Using Multi-output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis. MICCAI (3) 2019: 790-798 - [i2]Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, Dacheng Tao:
Robust Visual Tracking Revisited: From Correlation Filter to Template Matching. CoRR abs/1904.06842 (2019) - 2018
- [j14]Na Liu
, Lihong Wan, Yu Zhang, Tao Zhou, Hong Huo, Tao Fang:
Exploiting Convolutional Neural Networks With Deeply Local Description for Remote Sensing Image Classification. IEEE Access 6: 11215-11228 (2018) - [j13]Tao Zhou, Fanghui Liu, Harish Bhaskar, Jie Yang, Huanlong Zhang, Ping Cai:
Online discriminative dictionary learning for robust object tracking. Neurocomputing 275: 1801-1812 (2018) - [j12]Fanghui Liu
, Tao Zhou
, Chen Gong
, Keren Fu, Li Bai, Jie Yang
:
Inverse Nonnegative Local Coordinate Factorization for Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 28(8): 1752-1764 (2018) - [j11]Tao Zhou
, Fanghui Liu
, Harish Bhaskar, Jie Yang
:
Robust Visual Tracking via Online Discriminative and Low-Rank Dictionary Learning. IEEE Trans. Cybern. 48(9): 2643-2655 (2018) - [j10]Fanghui Liu
, Chen Gong, Xiaolin Huang
, Tao Zhou, Jie Yang, Dacheng Tao
:
Robust Visual Tracking Revisited: From Correlation Filter to Template Matching. IEEE Trans. Image Process. 27(6): 2777-2790 (2018) - [c13]Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen:
Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis. AAAI 2018: 4406-4413 - [c12]Tao Zhou, Kim-Han Thung, Mingxia Liu
, Feng Shi
, Changqing Zhang, Dinggang Shen:
Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis. PRIME@MICCAI 2018: 76-84 - [c11]Yongsheng Pan
, Mingxia Liu
, Chunfeng Lian, Tao Zhou, Yong Xia, Dinggang Shen:
Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis. MICCAI (3) 2018: 455-463 - 2017
- [j9]Tao Zhou, Harish Bhaskar, Fanghui Liu, Jie Yang, Ping Cai:
Online learning and joint optimization of combined spatial-temporal models for robust visual tracking. Neurocomputing 226: 221-237 (2017) - [j8]Fanghui Liu, Tao Zhou, Keren Fu, Jie Yang:
Kernelized temporal locality learning for real-time visual tracking. Pattern Recognit. Lett. 90: 72-79 (2017) - [j7]Tao Zhou, Harish Bhaskar, Fanghui Liu, Jie Yang:
Graph Regularized and Locality-Constrained Coding for Robust Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 27(10): 2153-2164 (2017) - [j6]Fanghui Liu
, Chen Gong, Tao Zhou, Keren Fu
, Xiangjian He
, Jie Yang:
Visual Tracking via Nonnegative Multiple Coding. IEEE Trans. Multim. 19(12): 2680-2691 (2017) - [c10]Tao Zhou, Fanghui Liu, Harish Bhaskar, Jie Yang, Lei Chen, Ping Cai:
Visual tracking via structural patch-based dictionary pair learning. ICIP 2017: 1137-1141 - [c9]Tao Zhou, Kim-Han Thung, Xiaofeng Zhu
, Dinggang Shen:
Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis. MLMI@MICCAI 2017: 132-140 - 2016
- [j5]Fanghui Liu, Tao Zhou, Jie Yang:
Geometric affine transformation estimation via correlation filter for visual tracking. Neurocomputing 214: 109-120 (2016) - [j4]Fanghui Liu
, Tao Zhou, Keren Fu, Jie Yang:
Robust visual tracking via constrained correlation filter coding. Pattern Recognit. Lett. 84: 163-169 (2016) - [c8]Fanghui Liu, Tao Zhou, Keren Fu, Irene Y. H. Gu
, Jie Yang:
Robust visual tracking via inverse nonnegative matrix factorization. ICASSP 2016: 1491-1495 - [c7]Kunqi Gu, Tao Zhou, Fanghui Liu, Jie Yang, Yu Qiao:
Correlation filter tracking via bootstrap learning. ICIP 2016: 459-463 - [c6]Fanghui Liu, Mingna Liu, Tao Zhou, Yu Qiao, Jie Yang:
Incremental Robust Nonnegative Matrix Factorization for Object Tracking. ICONIP (2) 2016: 611-619 - 2015
- [j3]Tao Zhou, Jie Yang, Artur Loza, Harish Bhaskar
, Mohammed E. Al-Mualla
:
Crowd modeling framework using fast head detection and shape-aware matching. J. Electronic Imaging 24(2): 023019 (2015) - [j2]Tao Zhou, Kai Xie, Junhao Zhang, Jie Yang, Xiangjian He
:
Robust object tracking based on weighted subspace reconstruction error with forward: backward tracking criterion. J. Electronic Imaging 24(3): 033005 (2015) - [j1]Tao Zhou, Xiangjian He
, Kai Xie, Keren Fu, Junhao Zhang, Jie Yang:
Robust visual tracking via efficient manifold ranking with low-dimensional compressive features. Pattern Recognit. 48(8): 2459-2473 (2015) - [c5]Kai Xie, Keren Fu, Tao Zhou, Jie Yang, Qiang Wu
, Xiangjian He
:
Small target detection using an optimization-based filter. ICASSP 2015: 1583-1587 - [c4]Fanghui Liu, Tao Zhou, Jie Yang, Irene Y. H. Gu
:
Visual Tracking via Nonnegative Regularization Multiple Locality Coding. ICCV Workshops 2015: 912-920 - [c3]Tao Zhou, Harish Bhaskar
, Kai Xie, Jie Yang, Xiangjian He
, Pengfei Shi:
Online learning of multi-feature weights for robust object tracking. ICIP 2015: 725-729 - [i1]Fanghui Liu, Tao Zhou, Irene Y. H. Gu, Jie Yang:
Visual Tracking via Nonnegative Regularization Multiple Locality Coding. CoRR abs/1510.01148 (2015) - 2014
- [c2]Tao Zhou, Junhao Zhang, Kai Xie, Jie Yang, Xiangjian He
:
Visual tracking based on weighted subspace reconstruction error. ICIP 2014: 461-465 - [c1]Tao Zhou, Xiangjian He
, Kai Xie, Keren Fu, Junhao Zhang, Jie Yang:
Visual tracking via graph-based efficient manifold ranking with low-dimensional compressive features. ICME 2014: 1-6
Coauthor Index
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