Zhong Xue

Orcid: 0000-0003-3207-0890

According to our database1, Zhong Xue authored at least 150 papers between 2000 and 2024.

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Bibliography

2024
Dynamic risk assessment of Uncertain Random System considering operator's simple emergency-stop action in short time window.
Reliab. Eng. Syst. Saf., 2024

Detail-preserving image warping by enforcing smooth image sampling.
Neural Networks, 2024

Extracting visual navigation line between pineapple field rows based on an enhanced YOLOv5.
Comput. Electron. Agric., 2024

Integrating Convolutional Neural Network and Transformer for Lumen Prediction Along the Aorta Sections.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Hierarchical Symmetric Normalization Registration Using Deformation-Inverse Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Semi-Supervised Learning of Visual Attributes for Automated Assessment of Lung Nodule Malignancy.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
A radiomics based approach using adrenal gland and periadrenal fat CT images to allocate COVID-19 health care resources fairly.
BMC Medical Imaging, December, 2023

TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling.
IEEE Trans. Medical Imaging, November, 2023

Segment aorta and localize landmarks simultaneously on noncontrast CT using a multitask learning framework for patients without severe vascular disease.
Comput. Biol. Medicine, June, 2023

Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution.
IEEE Trans. Medical Imaging, February, 2023

Automated Rib Fracture Detection on Chest X-Ray Using Contrastive Learning.
J. Imaging Inform. Medicine, 2023

Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

FAST-Net: A Coarse-to-fine Pyramid Network for Face-Skull Transformation.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

A Bone Lesion Identification Network (BLIN) in CT Images with Weakly Supervised Learning.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency.
Medical Image Anal., 2022

Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks.
Comput. Medical Imaging Graph., 2022

Local Graph Fusion of Multi-view MR Images for Knee Osteoarthritis Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

TaG-Net: Topology-Aware Graph Network for Vessel Labeling.
Proceedings of the Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022

Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

2021
Reducing magnetic resonance image spacing by learning without ground-truth.
Pattern Recognit., 2021

On the performance of lung nodule detection, segmentation and classification.
Comput. Medical Imaging Graph., 2021

A consistent deep registration network with group data modeling.
Comput. Medical Imaging Graph., 2021

Computing infection distributions and longitudinal evolution patterns in lung CT images.
BMC Medical Imaging, 2021

Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Self-guided Multi-attention Network for Periventricular Leukomalacia Recognition.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-task RoI Head.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Variational Encoding and Decoding for Hybrid Supervision of Registration Network.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosisn.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2020
SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors.
Medical Image Anal., 2020

mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography.
CoRR, 2020

A Self-ensembling Framework for Semi-supervised Knee Osteoarthritis Localization and Classification with Dual-Consistency.
CoRR, 2020

Lung Infection Quantification of COVID-19 in CT Images with Deep Learning.
CoRR, 2020

Ischemic Stroke Segmentation from CT Perfusion Scans Using Cluster-Representation Learning.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Learning MRI k-Space Subsampling Pattern Using Progressive Weight Pruning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

mr<sup>2</sup>NST: Multi-resolution and Multi-reference Neural Style Transfer for Mammography.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

Cross-View Label Transfer in Knee MR Segmentation Using Iterative Context Learning.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Automatic Segmentation of Non-tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Preventing inpatient falls with injuries using integrative machine learning prediction: a cohort study.
npj Digit. Medicine, 2019

Unpaired whole-body MR to CT synthesis with correlation coefficient constrained adversarial learning.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Regression-Based Line Detection Network for Delineation of Largely Deformed Brain Midline.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial Learning.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity.
CoRR, 2018

Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

2017
Dynamic Respiratory Motion Estimation Using Patch-Based Kernel-PCA Priors for Lung Cancer Radiotherapy.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017

Transductive local fisher discriminant analysis for gene expression profile-based cancer classification.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016
Estimating Lung Respiratory Motion Using Combined Global and Local Statistical Models.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

Transductive Maximum Margin Classification of ADHD Using Resting State fMRI.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Quantitative Analysis of 3D T1-Weighted Gadolinium (Gd) DCE-MRI with Different Repetition Times.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

Manifold Regularized Multi-view Subspace Clustering for image representation.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Nonlinear dynamic analysis of resting EEG alpha activity for heroin addicts.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

When discriminative K-means meets Grassmann manifold: Disease gene identification via a general multi-view clustering method.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

A three-dimensional medical image segmentation app using graphic theory.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

2014
Fractional anisotropy asymmetry and the side of seizure origin for partial onset-temporal lobe epilepsy.
Comput. Medical Imaging Graph., 2014

Spatial-Temporal Image-Constrained Lung 4D-CT Reconstruction for Radiotherapy Planning.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014

Estimating Dynamic Lung Images from High-Dimension Chest Surface Motion Using 4D Statistical Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
A Fast CT and CT-Fluoroscopy Registration Algorithm With Respiratory Motion Compensation for Image-Guided Lung Intervention.
IEEE Trans. Biomed. Eng., 2013

Simultaneous Tensor and Fiber Registration (STFR) for Diffusion Tensor Images of the Brain.
Proceedings of the Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, 2013

Superpixel-Based Segmentation of Glioblastoma Multiforme from Multimodal MR Images.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Helical Mode Lung 4D-CT Reconstruction Using Bayesian Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Analyzing grey matter diffusivity of autism in the context of white matter connectivity.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

A robust semi-automatic approach for ROI segmentation in 3D CT images.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
A minimally invasive multimodality image-guided (MIMIG) system for peripheral lung cancer intervention and diagnosis.
Comput. Medical Imaging Graph., 2012

Motion correction for cellular-resolution multi-photon fluorescence microscopy imaging of awake head-restrained mice using speed embedded HMM.
Comput. Medical Imaging Graph., 2012

Live-wire-based segmentation of (3D) anatomical structures for image-guided lung interventions.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

A novel approach for three dimensional dendrite spine segmentation and classification.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Fast CT-CT fluoroscopy registration with respiratory motion compensation for image-guided lung intervention.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012

Automatic segmentation and centroid detection of skin sensors for lung interventions.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012

Support vector machine (SVM) active learning for automated Glioblastoma segmentation.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Identification of faulty DTI-based sub-networks in autism using network regularized SVM.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Three-dimensional dendritic spine detection based on minimal cross-sectional curvature.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Topology preservation evaluation of compact-support radial basis functions for image registration.
Pattern Recognit. Lett., 2011

Tissue probability map constrained 4D clustering algorithm for increased accuracy and robustness in SerialMR brain image segmentation.
Int. J. Medical Eng. Informatics, 2011

Diffusion tensor-based fast marching for modeling human brain connectivity network.
Comput. Medical Imaging Graph., 2011

2010
A local fast marching-based diffusion tensor image registration algorithm by simultaneously considering spatial deformation and tensor orientation.
NeuroImage, 2010

A hybrid approach to automatic clustering of white matter fibers.
NeuroImage, 2010

Joint registration and segmentation of serial lung CT images for image-guided lung cancer diagnosis and therapy.
Comput. Medical Imaging Graph., 2010

Introduction to the special issue of image-guided surgical planning and therapy.
Comput. Medical Imaging Graph., 2010

A novel approach for curve evolution in segmentation of medical images.
Comput. Medical Imaging Graph., 2010

An expectation-maximization approach to joint curve evolution for medical image segmentation.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Online 4-D CT Estimation for Patient-Specific Respiratory Motion Based on Real-Time Breathing Signals.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Motion Artifact Correction of Multi-Photon Imaging of Awake Mice Models Using Speed Embedded HMM.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Distinguishing Left or Right Temporal Lobe Epilepsy from Controls Using Fractional Anisotropy Asymmetry Analysis.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

A Motion Correction Algorithm for Microendoscope Video Computing in Image-Guided Intervention.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

Peripheral Lung Cancer Detection by Vascular Tumor Labeling Using In-Vivo Microendoscopy under Real Time 3D CT Image Guided Intervention.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

PICE: prior information constrained evolution for 3-D and 4-D brain tumor segmentation.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

A Minimally Invasive Multimodality Image-Guided (MIMIG) Molecular Imaging System for Peripheral Lung Cancer Intervention and Diagnosis.
Proceedings of the Information Processing in Computer-Assisted Interventions, 2010

Applying training hidden features to joint curve evolution for brain MRI segmentation.
Proceedings of the 11th International Conference on Control, 2010

2009
A new statistically-constrained deformable registration framework for MR brain images.
Int. J. Medical Eng. Informatics, 2009

Automated brain tumor segmentation using spatial accuracy-weighted hidden Markov Random Field.
Comput. Medical Imaging Graph., 2009

Tissue probability map constrained CLASSIC for increased accuracy and robustness in serial image segmentation.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Voles: Vascularity-Oriented Level Set Algorithm for Pulmonary Vessel Segmentation in Image Guided Intervention Therapy.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Simultaneous Consideration of Spatial Deformation and Tensor Orientation in Diffusion Tensor Image Registration Using Local Fast Marching Patterns.
Proceedings of the Information Processing in Medical Imaging, 2009

2008
Segmenting Lung Fields in Serial Chest Radiographs Using Both Population-Based and Patient-Specific Shape Statistics.
IEEE Trans. Medical Imaging, 2008

Multimodality image registration by maximization of quantitative-qualitative measure of mutual information.
Pattern Recognit., 2008

Improving Parenchyma Segmentation by Simultaneous Estimation of Tissue Property T1 Map and Group-Wise Registration of Inversion Recovery MR Breast Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Joint Registration and Segmentation of Serial Lung CT Images in Microendoscopy Molecular Image-Guided Therapy.
Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008

A coupled implicit shape-based deformable model for segmentation of MR images.
Proceedings of the 10th International Conference on Control, 2008

Joint Parametric and Non-parametric Curve Evolution for Medical Image Segmentation.
Proceedings of the Computer Vision, 2008

2007
Statistically-Constrained Deformable Registration of Mr Brain Images.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms.
NeuroImage, 2006

CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing.
NeuroImage, 2006

Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping.
Medical Image Anal., 2006

Segmenting Lung Fields in Serial Chest Radiographs Using Both Population and Patient-Specific Shape Statistics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Segmenting MR Images Using Fully-Tuned Radial Basis Functions (RBF).
Proceedings of the Ninth International Conference on Control, 2006

Statistically-Constrained High-Dimensional Warping Using Wavelet-Based Priors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005
Statistical Representation and Simulation of High-Dimensional Deformations: Application to Synthesizing Brain Deformations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Consistent Estimation of Cardiac Motions by 4D Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

2004
Determining correspondence in 3-D MR brain images using attribute vectors as morphological signatures of voxels.
IEEE Trans. Medical Imaging, 2004

Morphological classification of brains via high-dimensional shape transformations and machine learning methods.
NeuroImage, 2004

Morphological Classification of Medical Images using Nonlinear Support Vector Machines.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003
Bayesian shape model for facial feature extraction and recognition.
Pattern Recognit., 2003

Correspondence Detection Using Wavelet-Based Attribute Vectors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

2002
AI-EigenSnake: an affine-invariant deformable contour model for object matching.
Image Vis. Comput., 2002

A novel Bayesian shape model for facial feature extraction.
Proceedings of the Seventh International Conference on Control, 2002

2001
An efficient fuzzy algorithm for aligning shapes under affine transformations.
Pattern Recognit., 2001

Facial feature extraction and image warping using PCA based statistic model.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
A novel eigenvector approach to pose and correspondence estimation.
Proceedings of the IEEE International Conference on Systems, 2000

Efficient Object Matching Using Affine-Invariant Deformable Contour.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

A Deformable Template Model Based on Fuzzy Alignment Algorithm.
Proceedings of the 2000 International Conference on Image Processing, 2000

A Novel Affine Invariant Feature Set and its Application in Motion Estimation.
Proceedings of the 2000 International Conference on Image Processing, 2000


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