Ying Wang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

CSTNET: Enhancing Global-To-Local Interactions for Image Captioning.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Patch-based co-occurrence filter with fast adaptive kernel.

[BibT_eX]

[DOI]

Signal Process., 2021

Visual relationship detection with region topology structure.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Captioning Transformer With Scene Graph Guiding.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Progressive Sub-Band Residual-Learning Network for MR Image Super Resolution.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2020

Spectral-Spatial-Weighted Multiview Collaborative Sparse Unmixing for Hyperspectral Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2020

Deep spectral convolution network for hyperspectral image unmixing with spectral library.

[BibT_eX]

[DOI]

Signal Process., 2020

LiDAR Iris for Loop-Closure Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Hyperspectral Unmixing via Recurrent Neural Network With Chain Classifier.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Spatial-Spectral Autoencoder Networks for Hyperspectral Unmixing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Markov Random Fields Integrating Adaptive Interclass-Pair Penalty and Spectral Similarity for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2019

Urban Observation: Integration of Remote Sensing and Social Media Data.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Region-Based Multiview Sparse Hyperspectral Unmixing Incorporating Spectral Library.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2019

A novel joint dictionary framework for sparse hyperspectral unmixing incorporating spectral library.

[BibT_eX]

[DOI]

Neurocomputing, 2019

LiDAR Iris for Loop-Closure Detection.

[BibT_eX]

[DOI]

CoRR, 2019

Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants.

[BibT_eX]

[DOI]

CoRR, 2019

Refined Segmentation R-CNN: A Two-Stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants.

[BibT_eX]

[DOI]

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

Non-Local Compressive Network for Hyperspectral and Multispectral Data Fusion.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Build your own hybrid thermal/EO camera for autonomous vehicle.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Campus Guide: A Lidar-based Mobile Robot.

[BibT_eX]

[DOI]

Proceedings of the 2019 European Conference on Mobile Robots, 2019

2018

An Integrated Spatio-Spectral-Temporal Sparse Representation Method for Fusing Remote-Sensing Images With Different Resolutions.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2018

Deep Convolutional Neural Networks for mental load classification based on EEG data.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

A parasitic metric learning net for breast mass classification based on mammography.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Collaborative learning for hyperspectral image classification.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Deep Differential Coding for High-Resolution Remote Sensing Scene Classification.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Image and Graphics Processing, 2018

Visual Odometry for Indoor Mobile Robot by Recognizing Local Manhattan Structures.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Sparse Weighted Constrained Energy Minimization for Accurate Remote Sensing Image Target Detection.

[BibT_eX]

[DOI]

Remote. Sens., 2017

Restricting Greed in Training of Generative Adversarial Network.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Efficient Multiple-Feature Learning-Based Hyperspectral Image Classification With Limited Training Samples.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2016

Single satellite image dehazing via linear intensity transformation and local property analysis.

[BibT_eX]

[DOI]

Weiping Ni

Neurocomputing, 2016

A deep feature based framework for breast masses classification.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Multispectral image classification based on improved weighted MRF Bayesian.

[BibT_eX]

[DOI]

Neurocomputing, 2016

An Integrated Method for Road Network Centerline Detection from Multispectral Imagery.

[BibT_eX]

[DOI]

Yuefan Du

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Asymmetry Analysis with Sparse Autoencoder in Mammography.

[BibT_eX]

[DOI]

Dongxiao Yang

Zhicheng Jiao

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016

Multiple-Feature Kernel Hashing for Mass Detection.

[BibT_eX]

[DOI]

Xin Lv

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016

Shadow Detection in High-Resolution Remote Sensing Image Based on Improved K-means.

[BibT_eX]

[DOI]

Yuefan Du

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016

2015

Dirichlet-Based Concentric Circle Feature Transform for Breast Mass Classification.

[BibT_eX]

[DOI]

Min Pang

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Multispectral Image Classification Using a New Bayesian Approach with Weighted Markov Random Fields.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - CCF Chinese Conference, 2015

Breast mass detection with kernelized supervised hashing.

[BibT_eX]

[DOI]

Lu Liu

Proceedings of the 8th International Conference on Biomedical Engineering and Informatics, 2015

2014

Latent feature mining of spatial and marginal characteristics for mammographic mass classification.

[BibT_eX]

[DOI]

Neurocomputing, 2014

2013

An Efficient Semi-supervised Hashing Method Based on Graph Transduction.

[BibT_eX]

[DOI]

Proceedings of the Intelligence Science and Big Data Engineering, 2013

2011

Mammographic mass segmentation: Embedding multiple features in vector-valued level set in ambiguous regions.

[BibT_eX]

[DOI]

Pattern Recognit., 2011

2010

On combining morphological component analysis and concentric morphology model for mammographic mass detection.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Technol. Biomed., 2010

2009

MCs Detection with Combined Image Features and Twin Support Vector Machines.

[BibT_eX]

[DOI]

Xinsheng Zhang

J. Comput., 2009

Embedded Geometric Active Contour with Shape Constraint for Mass Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

2007

A Feature Analysis Approach to Mass Detection in Mammography Based on RF-SVM.

[BibT_eX]

[DOI]