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ORCIDTao 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
![[0000-0003-0561-2316]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0561-2316")
— 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
[j53]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)- [j52]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) - [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) - 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) - [c31]Yue Ding, Tao Zhou, Ye Wu:
Cross-contrast Fusion and Aggregation Network for Multi-contrast MRI Super-resolution. ICCAI 2023: 102-107 - [c30]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 - [i32]Xinghong Liu, Yi Zhou, Tao Zhou, Jie Qin, Shengcai Liao:
Self-Paced Learning for Open-Set Domain Adaptation. CoRR abs/2303.05933 (2023) - [i31]Tao Zhou, Yizhe Zhang, Yi Zhou, Ye Wu, Chen Gong:
Can SAM Segment Polyps? CoRR abs/2304.07583 (2023) - [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]Yuxiang Lai, Xinghong Liu, Tao Zhou, Yi Zhou:
Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation. CoRR abs/2310.05453 (2023) - [i25]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) - [i24]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) - [i23]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) - 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, Yu-Jia 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) - [c29]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 - [c28]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 - [i22]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) - [i21]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) - [i20]Geng Chen, Si-Jie Liu, Yu-Jia Sun, Ge-Peng Ji, Ya-Feng Wu, Tao Zhou:
Camouflaged Object Detection via Context-aware Cross-level Fusion. CoRR abs/2207.13362 (2022) - [i19]He Zhang, Ran Zhang, Tao Zhou:
Learning high dimensional stochastic partial differential equations in a predictor-corrector framework. CoRR abs/2208.09883 (2022) - [i18]Haoran Li, Chun-Mei Feng, Tao Zhou, Yong Xu, Xiaojun Chang:
Prompt-driven efficient Open-set Semi-supervised Learning. CoRR abs/2209.14205 (2022) - [i17]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) - [i16]Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang:
Feature Aggregation and Propagation Network for Camouflaged Object Detection. CoRR abs/2212.00990 (2022) - [i15]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) - [c27]Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu, Ling Shao:
Visual-Textual Attentive Semantic Consistency for Medical Report Generation. ICCV 2021: 3965-3974 - [c26]Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao:
Specificity-preserving RGB-D Saliency Detection. ICCV 2021: 4661-4671 - [c25]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 - [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 - [i14]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) - [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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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-17 20:35 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
