Xiao Bai

According to our database1, Xiao Bai authored at least 94 papers between 2003 and 2019.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepage:

On csauthors.net:

Bibliography

2019
A Hierarchical Convolution Neural Network (CNN)-Based Ship Target Detection Method in Spaceborne SAR Imagery.
Remote Sensing, 2019

Multiscale Visual Attention Networks for Object Detection in VHR Remote Sensing Images.
IEEE Geosci. Remote Sensing Lett., 2019

Cross-modal hashing with semantic deep embedding.
Neurocomputing, 2019

Deep depth-based representations of graphs through deep learning networks.
Neurocomputing, 2019

Privacy-preserved community discovery in online social networks.
Future Generation Comp. Syst., 2019

Latent Distribution Preserving Deep Subspace Clustering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Ground Target Classification in Noisy SAR Images Using Convolutional Neural Networks.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2018

Nonlocal Similarity Based Nonnegative Tucker Decomposition for Hyperspectral Image Denoising.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2018

Material based salient object detection from hyperspectral images.
Pattern Recognition, 2018

Adaptive hash retrieval with kernel based similarity.
Pattern Recognition, 2018

Iterative Deep Subspace Clustering.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Deep Supervised Hashing with Information Loss.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Deep Homography Estimation with Pairwise Invertibility Constraint.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Learning Deep Embeddings via Margin-Based Discriminate Loss.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Cross-Model Retrieval with Reconstruct Hashing.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Binary Coding by Matrix Classifier for Efficient Subspace Retrieval.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Discriminate Cross-modal Quantization for Efficient Retrieval.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
On the Sampling Strategy for Evaluation of Spectral-Spatial Methods in Hyperspectral Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2017

Quantum kernels for unattributed graphs using discrete-time quantum walks.
Pattern Recognition Letters, 2017

Differential weights-based band selection for hyperspectral image classification.
IJWMIP, 2017

Non-local similarity based tensor decomposition for hyperspectral image denoising.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Heterogeneous face recognition via grassmannian based nearest subspace search.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep Residual Convolutional Neural Network for Hyperspectral Image Super-Resolution.
Proceedings of the Image and Graphics - 9th International Conference, 2017

Hierarchical Hashing for Image Retrieval.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016
Nonnegative-Matrix-Factorization-Based Hyperspectral Unmixing With Partially Known Endmembers.
IEEE Trans. Geoscience and Remote Sensing, 2016

Maximum margin hashing with supervised information.
Multimedia Tools Appl., 2016

Discriminative sparse neighbor coding.
Multimedia Tools Appl., 2016

Band Weighting via Maximizing Interclass Distance for Hyperspectral Image Classification.
IEEE Geosci. Remote Sensing Lett., 2016

Describing and learning of related parts based on latent structural model in big data.
Neurocomputing, 2016

P2P Lending Analysis Using the Most Relevant Graph-Based Features.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Discriminative weighted band selection via one-class SVM for hyperspectral imagery.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Shape classification with a vertex clustering graph kernel.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Hashing with Non-Linear Manifold Learning.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Bilinear Discriminant Analysis Hashing: A Supervised Hashing Approach for High-Dimensional Data.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Semisupervised Hyperspectral Band Selection Via Spectral-Spatial Hypergraph Model.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2015

Object Classification via Feature Fusion Based Marginalized Kernels.
IEEE Geosci. Remote Sensing Lett., 2015

An incremental structured part model for object recognition.
Neurocomputing, 2015

A novel logistic multi-class supervised classification model based on multi-fractal spectrum parameters for hyperspectral data.
Int. J. Comput. Math., 2015

A Graph Kernel Based on the Jensen-Shannon Representation Alignment.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Band weighting and selection based on hyperplane margin maximization for hyperspectral image classification.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Multilayer manifold and sparsity constrainted nonnegative matrix factorization for hyperspectral unmixing.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Learning Graph Model for Different Dimensions Image Matching.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

Isometric Mapping Hashing.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

Online sketching hashing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Data-Dependent Hashing Based on p-Stable Distribution.
IEEE Trans. Image Processing, 2014

VHR Object Detection Based on Structural Feature Extraction and Query Expansion.
IEEE Trans. Geoscience and Remote Sensing, 2014

Optimized graph-based segmentation for ultrasound images.
Neurocomputing, 2014

A Graph Kernel from the Depth-Based Representation.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

Learning Binary Codes with Bagging PCA.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Discriminative Context Models for Collective Activity Recognition.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Regularized Hierarchical Feature Learning with Non-negative Sparsity and Selectivity for Image Classification.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Semi-randomized hashing for large scale data retrieval.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Dual Graph Regularized NMF for Hyperspectral Unmixing.
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

Adaptive Object Retrieval with Kernel Reconstructive Hashing.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Object Detection Via Structural Feature Selection and Shape Model.
IEEE Trans. Image Processing, 2013

Asymmetric propagation based batch mode active learning for image retrieval.
Signal Processing, 2013

Hierarchical Remote Sensing Image Analysis via Graph Laplacian Energy.
IEEE Geosci. Remote Sensing Lett., 2013

Marginalized kernel-based feature fusion method for VHR object classification.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Label propagation hashing based on p-stable distribution and coordinate descent.
Proceedings of the IEEE International Conference on Image Processing, 2013

Salient object detection in hyperspectral imagery.
Proceedings of the IEEE International Conference on Image Processing, 2013

A hypergraph based semi-supervised band selection method for hyperspectral image classification.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
An Incremental Structured Part Model for Image Classification.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Hypergraph Spectra for Semi-supervised Feature Selection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Object detection via foreground contour feature selection and part-based shape model.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
In Search of Perceptually Salient Groupings.
IEEE Trans. Image Processing, 2011

Learning invariant structure for object identification by using graph methods.
Computer Vision and Image Understanding, 2011

Query expansion for VHR image detection.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

A novel approach for satellite image classification using local self-similarity.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

High-resolution satellite image classification and segmentation using Laplacian graph energy.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Discriminative Features for Image Classification and Retrieval.
Proceedings of the Sixth International Conference on Image and Graphics, 2011

2010
Geometric characterization and clustering of graphs using heat kernel embeddings.
Image Vision Comput., 2010

Manifold embedding for shape analysis.
Neurocomputing, 2010

2009
Graph characteristics from the heat kernel trace.
Pattern Recognition, 2009

A generative model for graph matching and embedding.
Computer Vision and Image Understanding, 2009

2008
Isotree: Tree clustering via metric embedding.
Neurocomputing, 2008

Quantitative Evaluation on Heat Kernel Permutation Invariants.
Proceedings of the Structural, 2008

Structure Is a Visual Class Invariant.
Proceedings of the Structural, 2008

Object recognition using graph spectral invariants.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Heat kernel analysis on graphs.
PhD thesis, 2007

Learning Object Classes from Structure.
Proceedings of the British Machine Vision Conference 2007, 2007

2006
Trace Formula Analysis of Graphs.
Proceedings of the Structural, 2006

A Spectral Generative Model for Graph Structure.
Proceedings of the Structural, 2006

2005
Manifold Embedding of Graphs Using the Heat Kernel.
Proceedings of the Mathematics of Surfaces XI, 2005

Clustering shapes using heat content invariants.
Proceedings of the 2005 International Conference on Image Processing, 2005

Geometric Characterisation of Graphs.
Proceedings of the Image Analysis and Processing, 2005

Graph Clustering Using Heat Content Invariants.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

Recent Results on Heat Kernel Embedding of Graphs.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2005

Characterising Graphs using the Heat Kernel.
Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005

2004
Heat Kernels, Manifolds and Graph Embedding.
Proceedings of the Structural, 2004

Graph Matching using Spectral Embedding and Alignment.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Graph Matching Using Manifold Embedding.
Proceedings of the Image Analysis and Recognition: International Conference, 2004

Graph Matching using Spectral Embedding and Semidefinite Programming.
Proceedings of the British Machine Vision Conference, 2004

2003
Graph Clustering using Symmetric Polynomials and Local Linear Embedding.
Proceedings of the British Machine Vision Conference, 2003


  Loading...