Tao Zhou

Orcid: 0000-0002-3733-7286

Affiliations:

Nanjing University of Science and Technology, School of Computer Science and Engineering, PCA Lab, China
Inception Institute of Artificial Intelligence, Abu Dhabi, UA
University of North Carolina at Chapel Hill, Department of Radiology and Biomedical Research Imaging Center, NC, USA (former)
Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China (PhD 2016)

According to our database¹, Tao Zhou authored at least 103 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Dynamic Weighted Adversarial Learning for Semi-Supervised Classification under Intersectional Class Mismatch.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., April, 2024

TestFit: A plug-and-play one-pass test time method for medical image segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., February, 2024

Fusion-Embedding Siamese Network for Light Field Salient Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

2023

Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, November, 2023

Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, November, 2023

Cross-level Feature Aggregation Network for Polyp Segmentation.

[BibT_eX]

[DOI]

Pattern Recognit., August, 2023

Flexible Fusion Network for Multi-Modal Brain Tumor Segmentation.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, July, 2023

Automatic Schelling Point Detection From Meshes.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., June, 2023

A Structure-Guided Effective and Temporal-Lag Connectivity Network for Revealing Brain Disorder Mechanisms.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, June, 2023

Combating medical noisy labels by disentangled distribution learning and consistency regularization.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., April, 2023

MMCAN: Multi-Modal Cross-Attention Network for Free-Space Detection with Uncalibrated Hyperspectral Sensors.

[BibT_eX]

[DOI]

Remote. Sens., February, 2023

Zero-Shot Camouflaged Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Consistency and Diversity Induced Human Motion Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Specificity-preserving RGB-D saliency detection.

[BibT_eX]

[DOI]

Comput. Vis. Media, 2023

SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model.

[BibT_eX]

[DOI]

CoRR, 2023

Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends.

[BibT_eX]

[DOI]

CoRR, 2023

Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

Edge-aware Feature Aggregation Network for Polyp Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

COCA: Classifier-Oriented Calibration for Source-Free Universal Domain Adaptation via Textual Prototype.

[BibT_eX]

[DOI]

CoRR, 2023

Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model.

[BibT_eX]

[DOI]

CoRR, 2023

Can SAM Segment Polyps?

[BibT_eX]

[DOI]

CoRR, 2023

Self-Paced Learning for Open-Set Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Cross-contrast Fusion and Aggregation Network for Multi-contrast MRI Super-resolution.

[BibT_eX]

[DOI]

Yue Ding

Tao Zhou

Ye Wu

Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

2022

Improving EEG Decoding via Clustering-Based Multitask Feature Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2022

Guest Editorial Generative Adversarial Networks in Biomedical Image Computing.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

Self-Supervised Multi-Modal Hybrid Fusion Network for Brain Tumor Segmentation.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

Feature Aggregation and Propagation Network for Camouflaged Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Dynamic Spectral-Spatial Poisson Learning for Hyperspectral Image Classification With Extremely Scarce Labels.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Marine Animal Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Camouflaged Object Detection via Context-Aware Cross-Level Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Three-dimensional affinity learning based multi-branch ensemble network for breast tumor segmentation in MRI.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Light field salient object detection: A review and benchmark.

[BibT_eX]

[DOI]

Comput. Vis. Media, 2022

SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis.

[BibT_eX]

[DOI]

CoRR, 2022

Prompt-driven efficient Open-set Semi-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Learning high dimensional stochastic partial differential equations in a predictor-corrector framework.

[BibT_eX]

[DOI]

He Zhang

Ran Zhang

Tao Zhou

CoRR, 2022

Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Contrast-weighted dictionary learning based saliency detection for VHR optical remote sensing images.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Incomplete multi-modal representation learning for Alzheimer's disease diagnosis.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Multi-level cross-modal interaction network for RGB-D salient object detection.

[BibT_eX]

[DOI]

Neurocomputing, 2021

RGB-D salient object detection: A survey.

[BibT_eX]

[DOI]

Comput. Vis. Media, 2021

Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2021

Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Visual-Textual Attentive Semantic Consistency for Medical Report Generation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Specificity-preserving RGB-D Saliency Detection.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Dual Shared-Specific Multiview Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Multiview Latent Space Learning With Feature Redundancy Minimization.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Synthesizing Talking Faces from Text and Audio: An Autoencoder and Sequence-to-Sequence Convolutional Neural Network.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data.

[BibT_eX]

[DOI]

Medical Image Anal., 2020

Improving EEG Decoding via Clustering-based Multi-task Feature Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-level Cross-modal Interaction Network for RGB-D Salient Object Detection.

[BibT_eX]

[DOI]

CoRR, 2020

M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients.

[BibT_eX]

[DOI]

CoRR, 2020

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans.

[BibT_eX]

[DOI]

CoRR, 2020

Exploration of Surgeons' Natural Skills for Robotic Catheterization.

[BibT_eX]

[DOI]

Olatunji Mumini Omisore

CoRR, 2020

Exploration of Interventionists' Technical Manipulation Skills for Robot-Assisted Intravascular PCI Catheterization.

[BibT_eX]

[DOI]

Wenjing Du

Olatunji Mumini Omisore

IEEE Access, 2020

M<sup>2</sup> Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

PraNet: Parallel Reverse Attention Network for Polyp Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Automatic Polyp Segmentation via Parallel Reverse Attention Network.

[BibT_eX]

[DOI]

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Latent Representation Learning for Alzheimer's Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2019

Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Interpretable Feature Learning Using Multi-output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Preliminary Study on Surface Electromyography Signal Analysis for Motion Characterization During Catheterization.

[BibT_eX]

[DOI]

Tao Zhou

Olatunji Mumini Omisore

Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019

Learning-based Parameter Estimation for Hysteresis Modeling in Robotic Catheterization.

[BibT_eX]

[DOI]

Olatunji Mumini Omisore

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Adapting Random Forest Classifier Based on Single and Multiple Features for Surface Electromyography Signal Recognition.

[BibT_eX]

[DOI]

Tao Zhou

Olatunji Mumini Omisore

Wenjing Du

Lei Wang

Yuan Zhang

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018

Robust Visual Tracking Revisited: From Correlation Filter to Template Matching.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Robust Visual Tracking via Online Discriminative and Low-Rank Dictionary Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Inverse Nonnegative Local Coordinate Factorization for Visual Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2018

Online discriminative dictionary learning for robust object tracking.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Exploiting Convolutional Neural Networks With Deeply Local Description for Remote Sensing Image Classification.

[BibT_eX]

[DOI]

IEEE Access, 2018

Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018

Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Visual Tracking via Nonnegative Multiple Coding.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2017

Graph Regularized and Locality-Constrained Coding for Robust Visual Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2017

Kernelized temporal locality learning for real-time visual tracking.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2017

Online learning and joint optimization of combined spatial-temporal models for robust visual tracking.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Visual tracking via structural patch-based dictionary pair learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Robust visual tracking via constrained correlation filter coding.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2016

Geometric affine transformation estimation via correlation filter for visual tracking.

[BibT_eX]

[DOI]

Fanghui Liu

Tao Zhou

Jie Yang

Neurocomputing, 2016

Incremental Robust Nonnegative Matrix Factorization for Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Correlation filter tracking via bootstrap learning.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Robust visual tracking via inverse nonnegative matrix factorization.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Robust visual tracking via efficient manifold ranking with low-dimensional compressive features.

[BibT_eX]

[DOI]

Pattern Recognit., 2015

Robust object tracking based on weighted subspace reconstruction error with forward: backward tracking criterion.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2015

Crowd modeling framework using fast head detection and shape-aware matching.

[BibT_eX]

[DOI]

Mohammed E. Al-Mualla

J. Electronic Imaging, 2015

Online learning of multi-feature weights for robust object tracking.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Visual Tracking via Nonnegative Regularization Multiple Locality Coding.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Small target detection using an optimization-based filter.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Visual tracking via graph-based efficient manifold ranking with low-dimensional compressive features.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Visual tracking based on weighted subspace reconstruction error.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Tao Zhou

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