Rui Xu

Orcid: 0000-0003-0516-3629

Affiliations:
  • Ritsumeikan University, Global Innovation Research Organization, Kusatsu, Japan
  • Yamaguchi University, Graduate School of Medicine, Tokiwadai, Japan (former)


According to our database1, Rui Xu authored at least 58 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Reconciling global and local optimal label assignments for heavily occluded pedestrian detection.
Multim. Syst., April, 2024

C<sup>2</sup>ANet: Cross-Scale and Cross-Modality Aggregation Network for Scene Depth Super-Resolution.
IEEE Trans. Multim., 2024

Addressing Challenges of Incorporating Appearance Cues Into Heuristic Multi-Object Tracker via a Novel Feature Paradigm.
IEEE Trans. Image Process., 2024

Low-resolution few-shot learning via multi-space knowledge distillation.
Inf. Sci., 2024

PuTR: A Pure Transformer for Decoupled and Online Multi-Object Tracking.
CoRR, 2024

Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Underwater Depth Estimation via Stereo Adaptation Networks.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

Cross-Modality depth Estimation via Unsupervised Stereo RGB-to-infrared Translation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Low-Dose CT Reconstruction via Dual-Domain Learning and Controllable Modulation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Learning Data Hallucination and Reciprocal Guidance for Underwater Depth Estimation and Color Correction.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Underwater Stereo Matching Via Unsupervised Appearance And Feature Adaptation Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Joint Extraction of Retinal Vessels and Centerlines Based on Deep Semantics and Multi-Scaled Cross-Task Aggregation.
IEEE J. Biomed. Health Informatics, 2021

Unsupervised Monocular Depth Estimation via Recursive Stereo Distillation.
IEEE Trans. Image Process., 2021

VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data.
IEEE Trans. Image Process., 2021

DPNet: Detail-preserving network for high quality monocular depth estimation.
Pattern Recognit., 2021

Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Pulmonary Textures Classification via a Multi-Scale Attention Network.
IEEE J. Biomed. Health Informatics, 2020

PMBANet: Progressive Multi-Branch Aggregation Network for Scene Depth Super-Resolution.
IEEE Trans. Image Process., 2020

Deep Joint Depth Estimation and Color Correction From Monocular Underwater Images Based on Unsupervised Adaptation Networks.
IEEE Trans. Circuits Syst. Video Technol., 2020

Depth upsampling based on deep edge-aware learning.
Pattern Recognit., 2020

VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data.
CoRR, 2020

Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network.
CoRR, 2020

Depth Super-Resolution via Deep Controllable Slicing Network.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Evolutionary Neural Network and Visualization for CNN-based Pulmonary Textures Classification.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Detail- Revealing Deep Low-Dose CT Reconstruction.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

BG-Net: Boundary-Guided Network for Lung Segmentation on Clinical CT Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Cascaded Detail-Aware Network for Unsupervised Monocular Depth Estimation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Retinal Vessel Segmentation via a Semantics and Multi-Scale Aggregation Network.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Unsupervised Content-Preserved Adaptation Network for Classification of Pulmonary Textures from Different CT Scanners.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Evolutionary neural network structure search for DNN pruning and features separation.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Unsupervised Monocular Depth Estimation Based on Dual Attention Mechanism and Depth-Aware Loss.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018
Underwater Image Enhancement Using Stacked Generative Adversarial Networks.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Retinal Vessel Segmentation via Multiscaled Deep-Guidance.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Pulmonary Textures Classification Using A Deep Neural Network with Appearance and Geometry Cues.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2016
A principal component analysis based method to automatically inspect wear of throw-away tips.
J. Intell. Fuzzy Syst., 2016

2015
A Sparse Representation Based Method to Classify Pulmonary Patterns of Diffuse Lung Diseases.
Comput. Math. Methods Medicine, 2015

Transparent visualization of large-scale and complex polygon meshes using a stochastic point-based rendering method.
Proceedings of the SIGGRAPH Asia 2015 Visualization in High Performance Computing, 2015

Automatic inspection of throw-away tips based on principal component analysis.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2013
Classification of Pneumoconiosis on HRCT Images for Computer-Aided Diagnosis.
IEICE Trans. Inf. Syst., 2013

A Bag-of-Features Approach to Classify Six Types of Pulmonary Textures on High-Resolution Computed Tomography.
IEICE Trans. Inf. Syst., 2013

Particle System Based Adaptive Sampling on Spherical Parameter Space to Improve the MDL Method for Construction of Statistical Shape Models.
Comput. Math. Methods Medicine, 2013

GND-PCA-Based Statistical Modeling of Diaphragm Motion Extracted from 4D MRI.
Comput. Math. Methods Medicine, 2013

Generalized N-Dimensional PCA for Compact Representation of Medical Volumes and Effective Mode Selection by Adaboost.
Proceedings of the Advances in Multimedia Information Processing - PCM 2013, 2013

Classification of diffuse lung diseases patterns by a sparse representation based method on HRCT images.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Medical image processing and computer-aided detection/diagnosis (CAD).
Proceedings of the International Conference on Computerized Healthcare, 2012

2011
Classification of Diffuse Lung Disease Patterns on High-Resolution Computed Tomography by a Bag of Words Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2009
Generalized N-Dimensional Principal Component Analysis (GND-PCA) Based Statistical Appearance Modeling of Facial Images with Multiple Modes.
IPSJ Trans. Comput. Vis. Appl., 2009

Generalized N-dimensional principal component analysis (GND-PCA) and its application on construction of statistical appearance models for medical volumes with fewer samples.
Neurocomputing, 2009

2008
Parzen-Window Based Normalized Mutual Information for Medical Image Registration.
IEICE Trans. Inf. Syst., 2008

Semiautomatic non-rigid 3-D image registration for MR-Guided Liver Cancer Surgery.
Proceedings of the International Conference on Image Processing, 2008

2007
Application of nonrigid registration in ablation of liver cancer.
Proceedings of the Medical Imaging 2007: Visualization and Image-Guided Procedures, 2007

Appearance Models for Medical Volumes with Few Samples by Generalized 3D-PCA.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006
MR-CT Image Registration in Liver Cancer Treatment with an Open Configuration MR Scanner.
Proceedings of the Biomedical Image Registration, Third International Workshop, 2006

A Semiautomatic Nonrigid Registration in Liver Cancer Treatment with an Open MR System.
Proceedings of the Advances in Artificial Reality and Tele-Existence, 2006


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