Senjian An

According to our database, Senjian An authored at least 83 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Invertible Residual Blocks in Deep Learning Networks.

Ruhua Wang, Senjian An, Wanquan Liu, Ling Li

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Structural damage detection and localization via an unsupervised anomaly detection method.

Jie Liu, Qilin Li, Ling Li, Senjian An

Reliab. Eng. Syst. Saf., 2024

EdgeConvFormer: An Unsupervised Anomaly Detection Method for Multivariate Time Series.

Jie Liu, Qilin Li, Senjian An, Bradley Ezard, Ling Li

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Multi-View Diffusion Process for Spectral Clustering and Image Retrieval.

Qilin Li, Senjian An, Ling Li, Wanquan Liu, Yanda Shao

IEEE Trans. Image Process., 2023

EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Series.

Jie Liu, Qilin Li, Senjian An, Bradley Ezard, Ling Li

CoRR, 2023

2022

Unsupervised learning of multi-task deep variational model.

Lu Tan, Ling Li, Wan Quan Liu, Senjian An, Kylie Munyard

J. Vis. Commun. Image Represent., 2022

3D Face Reconstruction with Mobile Phone Cameras for Rare Disease Diagnosis.

Yiwei Liu, Ling Li, Senjian An, Petra Helmholz, Richard Palmer, Gareth Baynam

Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021

Semisupervised Learning on Graphs With an Alternating Diffusion Process.

Qilin Li, Senjian An, Wanquan Liu, Ling Li

IEEE Trans. Neural Networks Learn. Syst., 2021

Fixed-point algorithms for inverse of residual rectifier neural networks.

Ruhua Wang, Senjian An, Wanquan Liu, Ling Li

Math. Found. Comput., 2021

2020

Learning Latent Global Network for Skeleton-Based Action Prediction.

Qiuhong Ke, Mohammed Bennamoun, Hossein Rahmani, Senjian An, Ferdous Sohel, Farid Boussaïd

IEEE Trans. Image Process., 2020

Automatic Hierarchical Classification of Kelps Using Deep Residual Features.

Ammar Mahmood, Ana Giraldo Ospina, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd, Renae Hovey, Robert B. Fisher, Gary A. Kendrick

Sensors, 2020

ResFeats: Residual network based features for underwater image classification.

Ammar Mahmood, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd

Image Vis. Comput., 2020

Haze pollution causality mining and prediction based on multi-dimensional time series with PS-FCM.

Zhen Peng, Wanquan Liu, Senjian An

Inf. Sci., 2020

2019

Nonlinear diffusion based image segmentation using two fast algorithms.

Lu Tan, Ling Li, Senjian An, Zhenkuan Pan

Math. Found. Comput., 2019

Hierarchical Classification of Kelps utilizing Deep Residual Features.

Ammar Mahmood, Ana Giraldo Ospina, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd, Renae Hovey, Robert B. Fisher, Gary A. Kendrick

CoRR, 2019

Semi-supervised Learning on Graph with an Alternating Diffusion Process.

Qilin Li, Senjian An, Ling Li, Wanquan Liu

CoRR, 2019

Coral Classification Using DenseNet and Cross-modality Transfer Learning.

Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Senjian An, Ferdous Sohel

Proceedings of the International Joint Conference on Neural Networks, 2019

An Improved Approach to Weakly Supervised Semantic Segmentation.

Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Senjian An, Ferdous Sohel

Proceedings of the IEEE International Conference on Acoustics, 2019

Improved Algorithms for Zero Shot Image Super-Resolution with Parametric Rectifiers.

Jiayi Zhu, Senjian An, Wanquan Liu, Ling Li

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Efficient Gaussian Distance Transforms for Image Processing.

Senjian An, Yiwei Liu, Wanquan Liu, Ling Li

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Deep Learning for Marine Species Recognition.

Lian Xu, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd

Proceedings of the Handbook of Deep Learning Applications., 2019

Deep Learning for Driverless Vehicles.

Cameron Hodges, Senjian An, Hossein Rahmani, Mohammed Bennamoun

Proceedings of the Handbook of Deep Learning Applications., 2019

2018

Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction.

Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel, Farid Boussaïd

IEEE Trans. Multim., 2018

Learning Clip Representations for Skeleton-Based 3D Action Recognition.

Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel, Farid Boussaïd

IEEE Trans. Image Process., 2018

Response to "Ghost Numbers".

Munawar Hayat, Mohammed Bennamoun, Senjian An

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

Exploiting layerwise convexity of rectifier networks with sign constrained weights.

Senjian An, Farid Boussaïd, Mohammed Bennamoun, Ferdous Sohel

Neural Networks, 2018

Identity Adaptation for Person Re-Identification.

Qiuhong Ke, Mohammed Bennamoun, Hossein Rahmani, Senjian An, Ferdous Sohel, Farid Boussaïd

IEEE Access, 2018

Classification of Corals in Reflectance and Fluorescence Images Using Convolutional Neural Network Representations.

Lian Xu, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Global Regularizer and Temporal-Aware Cross-Entropy for Skeleton-Based Early Action Recognition.

Qiuhong Ke, Jun Liu, Mohammed Bennamoun, Hossein Rahmani, Senjian An, Ferdous Sohel, Farid Boussaïd

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

SkeletonNet: Mining Deep Part Features for 3-D Action Recognition.

Qiuhong Ke, Senjian An, Mohammed Bennamoun, Ferdous Ahmed Sohel, Farid Boussaïd

IEEE Signal Process. Lett., 2017

On the Compressive Power of Deep Rectifier Networks for High Resolution Representation of Class Boundaries.

Senjian An, Mohammed Bennamoun, Farid Boussaïd

CoRR, 2017

From Deep to Shallow: Transformations of Deep Rectifier Networks.

Senjian An, Farid Boussaïd, Mohammed Bennamoun, Jiankun Hu

CoRR, 2017

Resfeats: Residual network based features for image classification.

Ammar Mahmood, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A New Representation of Skeleton Sequences for 3D Action Recognition.

Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel, Farid Boussaïd

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification.

Munawar Hayat, Salman H. Khan, Mohammed Bennamoun, Senjian An

IEEE Trans. Image Process., 2016

Spatial, Structural and Temporal Feature Learning for Human Interaction Prediction.

Qiuhong Ke, Mohammed Bennamoun, Senjian An, Farid Boussaïd, Ferdous Ahmed Sohel

CoRR, 2016

Coral classification with hybrid feature representations.

Ammar Mahmood, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel, Farid Boussaïd, Renae Hovey, Gary A. Kendrick, Robert B. Fisher

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Human Interaction Prediction Using Deep Temporal Features.

Qiuhong Ke, Mohammed Bennamoun, Senjian An, Farid Boussaïd, Ferdous Ahmed Sohel

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

Quantitative Error Analysis of Bilateral Filtering.

Senjian An, Farid Boussaïd, Mohammed Bennamoun, Ferdous Ahmed Sohel

IEEE Signal Process. Lett., 2015

Deep Reconstruction Models for Image Set Classification.

Munawar Hayat, Mohammed Bennamoun, Senjian An

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Sign Constrained Rectifier Networks with Applications to Pattern Decompositions.

Senjian An, Qiuhong Ke, Mohammed Bennamoun, Farid Boussaïd, Ferdous Ahmed Sohel

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances?

Senjian An, Farid Boussaïd, Mohammed Bennamoun

Proceedings of the 32nd International Conference on Machine Learning, 2015

Contractive Rectifier Networks for Nonlinear Maximum Margin Classification.

Senjian An, Munawar Hayat, Salman H. Khan, Mohammed Bennamoun, Farid Boussaïd, Ferdous Ahmed Sohel

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Robust Face Recognition by Utilizing Color Information and Sparse Representation.

Billy Y. L. Li, Wanquan Liu, Senjian An, Aneesh Krishna

Int. J. Pattern Recognit. Artif. Intell., 2014

Reverse Training: An Efficient Approach for Image Set Classification.

Munawar Hayat, Mohammed Bennamoun, Senjian An

Proceedings of the Computer Vision - ECCV 2014, 2014

Learning Non-linear Reconstruction Models for Image Set Classification.

Munawar Hayat, Mohammed Bennamoun, Senjian An

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Efficient sub-window search with fixed shape sub-windows.

Antoni Liang, Senjian An, Wanquan Liu

Int. J. Mach. Learn. Cybern., 2013

2012

Face recognition using various scales of discriminant color space transform.

Billy Y. L. Li, Wanquan Liu, Senjian An, Aneesh Krishna, Tianwei Xu

Neurocomputing, 2012

Tensor based robust color face recognition.

Billy Y. L. Li, Wanquan Liu, Senjian An, Aneesh Krishna

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

An Innovative Weighted 2DLDA Approach for Face Recognition.

Chong Lu, Senjian An, Wanquan Liu, Xiaodong Liu

J. Signal Process. Syst., 2011

Unified formulation of linear discriminant analysis methods and optimal parameter selection.

Senjian An, Wanquan Liu, Svetha Venkatesh, Hong Yan

Pattern Recognit., 2011

Margin Preserving Projection for Image Set Based Face Recognition.

Ke Fan, Wanquan Liu, Senjian An, Xiaoming Chen

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

The MCF Model: Utilizing Multiple Colors for Face Recognition.

Billy Y. L. Li, Senjian An, Wanquan Liu, Aneesh Krishna

Proceedings of the Sixth International Conference on Image and Graphics, 2011

Efficient subwindow search with submodular score functions.

Senjian An, Patrick Peursum, Wanquan Liu, Svetha Venkatesh

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Fast Sub-window Search with Square Shape.

Antoni Liang, Senjian An, Wanquan Liu

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Object Detection by Admissible Region Search.

Xiaoming Chen, Senjian An, Wanquan Liu, Wanqing Li

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010

Exploiting Monge structures in optimum subwindow search.

Senjian An, Patrick Peursum, Wanquan Liu, Svetha Venkatesh, Xiaoming Chen

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Efficient algorithms for subwindow search in object detection and localization.

Senjian An, Patrick Peursum, Wanquan Liu, Svetha Venkatesh

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

A simplified GLRAM algorithm for face recognition.

Chong Lu, Wanquan Liu, Senjian An

Neurocomputing, 2008

A New Face Recognition Approach to Boosting the Worst-Case Performance.

Fang Chen, Senjian An, Wanquan Liu

Proceedings of the Advances in Multimedia Information Processing, 2008

Double Sides 2DPCA for Face Recognition.

Chong Lu, Wanquan Liu, Xiaodong Liu, Senjian An

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

Exploiting side information in locality preserving projection.

Senjian An, Wanquan Liu, Svetha Venkatesh

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression.

Senjian An, Wanquan Liu, Svetha Venkatesh

Pattern Recognit., 2007

Face recognition based on ordinal correlation.

Ronny Tjahyadi, Wanquan Liu, Senjian An, Svetha Venkatesh

Int. J. Intell. Syst. Technol. Appl., 2007

Acquiring Critical Light Points for Illumination Subspaces of Face Images by Affinity Propagation Clustering.

Senjian An, Wanquan Liu, Svetha Venkatesh

Proceedings of the Advances in Multimedia Information Processing, 2007

Face Recognition via the Overlapping Energy Histogram.

Ronny Tjahyadi, Wanquan Liu, Senjian An, Svetha Venkatesh

Proceedings of the IJCAI 2007, 2007

Face Recognition Using Kernel Ridge Regression.

Senjian An, Wanquan Liu, Svetha Venkatesh

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers.

Senjian An, Wanquan Liu, Svetha Venkatesh, Ronny Tjahyadi

Neural Process. Lett., 2006

Efficient Cross-validation of the Complete Two Stages in KFD Classifier Formulation.

Senjian An, Wanquan Liu, Svetha Venkatesh

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005

A sequential subspace method for blind identification of general FIR MIMO channels.

Senjian An, Jonathan H. Manton, Yingbo Hua

IEEE Trans. Signal Process., 2005

Group decorrelation enhanced subspace method for identifying FIR MIMO channels driven by unknown uncorrelated colored sources.

Senjian An, Yingbo Hua, Jonathan H. Manton, Zheng Fang

IEEE Trans. Signal Process., 2005

Fast cross-validation of kernel Fisher discriminant classifiers.

Senjian An, Wanquan Liu, Svetha Venkatesh

Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

2004

Robust D-stability with mixed-type uncertainties.

Senjian An, Wanquan Liu

IEEE Trans. Autom. Control., 2004

2003

Blind identification of FIR MIMO channels by decorrelating subchannels.

Yingbo Hua, Senjian An, Yong Xiang

IEEE Trans. Signal Process., 2003

Blind identification of FIR MIMO channels by group decorrelation.

Senjian An, Yingbo Hua, Jonathan H. Manton

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Convex directions for nested Hurwitz polynomials.

Senjian An, Wanquan Liu, Jonathan H. Manton

Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002

Separating colorred signals distorted by convolutive channels using diagonal constrained decorrelation.

Yong Xiang, Yingbo Hua, Senjian An, Alex Acero

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

Blind signal separation and blind system identification of irreducible MIMO channels.

Senjian An, Yingbo Hua

Proceedings of the Sixth International Symposium on Signal Processing and its Applications, 2001

Experimental investigation of delayed instantaneous demixer for speech enhancement.

Yong Xiang, Yingbo Hua, Senjian An, Alex Acero

Proceedings of the IEEE International Conference on Acoustics, 2001

Blind identification and equalization of FIR MIMO channels by BIDS.

Yingbo Hua, Senjian An, Yong Xiang

Proceedings of the IEEE International Conference on Acoustics, 2001

Robust stability of polynomials with nonlinear dependent coefficient perturbations.

Senjian An, Wanquan Liu

Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000

On the parametric H_∞ problems of weighted interval plants.

Senjian An, Lin Huang, Enping Wang

IEEE Trans. Autom. Control., 2000

Vertex results for parametric shifted H_∞ performance of weighted interval plants.

Senjian An, Xiheng Hu, Branka Vucetic, Wanquan Liu

Proceedings of the 39th IEEE Conference on Decision and Control, 2000