Jun Li

Signal Image Video Process., 2019

Face detection and alignment method for driver on highroad based on improved multi-task cascaded convolutional networks.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2019

Learn to focus on objects for visual detection.

[BibT_eX]

[DOI]

Zijing Chen

Xinhua You

Neurocomputing, 2019

A Distributed Approach towards Discriminative Distance Metric Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Advanced Quantum Based Neural Network Classifier and Its Application for Objectionable Web Content Filtering.

[BibT_eX]

[DOI]

IEEE Access, 2019

On Learning and Learned Data Representation by Capsule Networks.

[BibT_eX]

[DOI]

Ancheng Lin

Zhenyuan Ma

IEEE Access, 2019

2018

Shakeout: A New Approach to Regularized Deep Neural Network Training.

[BibT_eX]

[DOI]

Guoliang Kang

IEEE Trans. Pattern Anal. Mach. Intell., 2018

On Learning and Learned Representation with Dynamic Routing in Capsule Networks.

[BibT_eX]

[DOI]

Ancheng Lin

Aneesh Sreevallabh Chivukula

Zhenyuan Ma

CoRR, 2018

GAN2C: Information Completion GAN with Dual Consistency Constraints.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Utilizing Information from Task-Independent Aspects via GAN-Assisted Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A New Family of Generative Adversarial Nets Using Heterogeneous Noise to Model Complex Distributions.

[BibT_eX]

[DOI]

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Multiple-Task Learning and Knowledge Transfer Using Generative Adversarial Capsule Nets.

[BibT_eX]

[DOI]

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Discovering Granger-Causal Features from Deep Learning Networks.

[BibT_eX]

[DOI]

Wei Liu

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Residual MeshNet: Learning to Deform Meshes for Single-View 3D Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Dynamically Modulated Mask Sparse Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Learning to focus for object proposals.

[BibT_eX]

[DOI]

Zijing Chen

Xinhua You

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Generic Pixel Level Object Tracker Using Bi-Channel Fully Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Shakeout: A New Regularized Deep Neural Network Training Scheme.

[BibT_eX]

[DOI]

Guoliang Kang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

A Distributed Approach Toward Discriminative Distance Metric Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

2013

Exponential Family Factors for Bayesian Factor Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

A Bayesian Hierarchical Factorization Model for Vector Fields.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

Learning colours from textures by sparse manifold embedding.

[BibT_eX]

[DOI]

Signal Process., 2013

A Bayesian Factorised Covariance Model for Image Analysis.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

2012

On Preserving Original Variables in Bayesian PCA With Application to Image Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2012

A probabilistic model for image representation via multiple patterns.

[BibT_eX]

[DOI]

Xuelong Li

Pattern Recognit., 2012

Segment-Based Features for Time Series Classification.

[BibT_eX]

[DOI]

Comput. J., 2012

Sampling Normal Distribution Restricted on Multiple Regions.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011

A Probabilistic Model for Discovering High Level Brain Activities from fMRI.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 18th International Conference, 2011

Wisdom of Crowds: Single Image Super-resolution from the Web.

[BibT_eX]

[DOI]

Proceedings of the Data Mining Workshops (ICDMW), 2011

2010

Simple Exponential Family PCA.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

An Exponential Family Extension to Principal Component Analysis.

[BibT_eX]

[DOI]

Aust. J. Intell. Inf. Process. Syst., 2010

Feature Extraction for fMRI-Based Human Brain Activity Recognition.

[BibT_eX]

[DOI]

Wei Bian

Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

Boosted Dynamic Cognitive Activity Recognition from Brain Images.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009

Data on manifolds : Reliable representations and visual computing application.

[BibT_eX]

[DOI]

PhD thesis, 2009

Finding representative landmarks of data on manifolds.

[BibT_eX]

[DOI]

Pattern Recognit., 2009

2008

Hallucinating faces from thermal infrared images.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2008

Transferring Colours to Grayscale Images by Locally Linear Embedding.

[BibT_eX]

[DOI]

Chao Zhang

Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008

Reliable Representation of Data on Manifolds.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008

2007

Hierarchical Structuring of Data on Manifolds.

[BibT_eX]

[DOI]