Vertex results for parametric shifted H∞ performance of weighted interval plants. - Senjian An; Xiheng Hu; Branka Vucetic; Wanquan Liu (CDC, 2000)

On the parametric H∞ problems of weighted interval plants. - Senjian An; Lin Huang; Enping Wang (IEEE Trans. Autom. Control., 2000)

Robust stability of polynomials with nonlinear dependent coefficient perturbations. - Senjian An; Wanquan Liu (CDC, 2001)

Blind identification and equalization of FIR MIMO channels by BIDS. - Yingbo Hua; Senjian An; Yong Xiang (ICASSP, 2001)

Experimental investigation of delayed instantaneous demixer for speech enhancement. - Yong Xiang; Yingbo Hua; Senjian An; Alex Acero (ICASSP, 2001)

Blind signal separation and blind system identification of irreducible MIMO channels. - Senjian An; Yingbo Hua (ISSPA, 2001)

Separating colorred signals distorted by convolutive channels using diagonal constrained decorrelation. - Yong Xiang; Yingbo Hua; Senjian An; Alex Acero (ICASSP, 2002)

Convex directions for nested Hurwitz polynomials. - Senjian An; Wanquan Liu; Jonathan H. Manton (CDC, 2003)

Blind identification of FIR MIMO channels by group decorrelation. - Senjian An; Yingbo Hua; Jonathan H. Manton (ICASSP (5), 2003)

Blind identification of FIR MIMO channels by decorrelating subchannels. - Yingbo Hua; Senjian An; Yong Xiang (IEEE Trans. Signal Process., 2003)

Robust D-stability with mixed-type uncertainties. - Senjian An; Wanquan Liu (IEEE Trans. Autom. Control., 2004)

Fast cross-validation of kernel Fisher discriminant classifiers. - Senjian An; Wanquan Liu; Svetha Venkatesh (ICMLA, 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)

A sequential subspace method for blind identification of general FIR MIMO channels. - Senjian An; Jonathan H. Manton; Yingbo Hua (IEEE Trans. Signal Process., 2005)

Efficient Cross-validation of the Complete Two Stages in KFD Classifier Formulation. - Senjian An; Wanquan Liu; Svetha Venkatesh (ICPR (3), 2006)

A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers. - Senjian An; Wanquan Liu; Svetha Venkatesh; Ronny Tjahyadi (Neural Process. Lett., 2006)

Face Recognition Using Kernel Ridge Regression. - Senjian An; Wanquan Liu; Svetha Venkatesh (CVPR, 2007)

Face Recognition via the Overlapping Energy Histogram. - Ronny Tjahyadi; Wanquan Liu; Senjian An; Svetha Venkatesh (IJCAI, 2007)

Acquiring Critical Light Points for Illumination Subspaces of Face Images by Affinity Propagation Clustering. - Senjian An; Wanquan Liu; Svetha Venkatesh (PCM, 2007)

Face recognition based on ordinal correlation. - Ronny Tjahyadi; Wanquan Liu; Senjian An; Svetha Venkatesh (Int. J. Intell. Syst. Technol. Appl., 2007)

Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression. - Senjian An; Wanquan Liu; Svetha Venkatesh (Pattern Recognit., 2007)

Exploiting side information in locality preserving projection. - Senjian An; Wanquan Liu; Svetha Venkatesh (CVPR, 2008)

Double Sides 2DPCA for Face Recognition. - Chong Lu; Wanquan Liu; Xiaodong Liu 001; Senjian An (ICIC (1), 2008)

A New Face Recognition Approach to Boosting the Worst-Case Performance. - Fang Chen; Senjian An; Wanquan Liu (PCM, 2008)

A simplified GLRAM algorithm for face recognition. - Chong Lu; Wanquan Liu; Senjian An (Neurocomputing, 2008)

Efficient algorithms for subwindow search in object detection and localization. - Senjian An; Patrick Peursum; Wanquan Liu; Svetha Venkatesh (CVPR, 2009)

Exploiting Monge structures in optimum subwindow search. - Senjian An; Patrick Peursum; Wanquan Liu; Svetha Venkatesh; Xiaoming Chen (CVPR, 2010)

Object Detection by Admissible Region Search. - Xiaoming Chen; Senjian An; Wanquan Liu; Wanqing Li 001 (Australasian Conference on Artificial Intelligence, 2011)

Fast Sub-window Search with Square Shape. - Antoni Liang; Senjian An; Wanquan Liu (Australasian Conference on Artificial Intelligence, 2011)

Efficient subwindow search with submodular score functions. - Senjian An; Patrick Peursum; Wanquan Liu; Svetha Venkatesh (CVPR, 2011)

The MCF Model: Utilizing Multiple Colors for Face Recognition. - Billy Y. L. Li; Senjian An; Wanquan Liu; Aneesh Krishna (ICIG, 2011)

Margin Preserving Projection for Image Set Based Face Recognition. - Ke Fan; Wanquan Liu; Senjian An; Xiaoming Chen (ICONIP (2), 2011)

Unified formulation of linear discriminant analysis methods and optimal parameter selection. - Senjian An; Wanquan Liu; Svetha Venkatesh; Hong Yan 001 (Pattern Recognit., 2011)

An Innovative Weighted 2DLDA Approach for Face Recognition. - Chong Lu; Senjian An; Wanquan Liu; Xiaodong Liu 001 (J. Signal Process. Syst., 2011)

Tensor based robust color face recognition. - Billy Y. L. Li; Wanquan Liu; Senjian An; Aneesh Krishna (ICPR, 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)

Efficient sub-window search with fixed shape sub-windows. - Antoni Liang; Senjian An; Wanquan Liu (Int. J. Mach. Learn. Cybern., 2013)

Learning Non-linear Reconstruction Models for Image Set Classification. - Munawar Hayat; Mohammed Bennamoun; Senjian An (CVPR, 2014)

Reverse Training: An Efficient Approach for Image Set Classification. - Munawar Hayat; Mohammed Bennamoun; Senjian An (ECCV (6), 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)

Contractive Rectifier Networks for Nonlinear Maximum Margin Classification. - Senjian An; Munawar Hayat; Salman H. Khan 001; Mohammed Bennamoun; Farid Boussaïd; Ferdous Ahmed Sohel (ICCV, 2015)

How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances? - Senjian An; Farid Boussaïd; Mohammed Bennamoun (ICML, 2015)

Sign Constrained Rectifier Networks with Applications to Pattern Decompositions. - Senjian An; Qiuhong Ke; Mohammed Bennamoun; Farid Boussaïd; Ferdous Ahmed Sohel (ECML/PKDD (1), 2015)

Deep Reconstruction Models for Image Set Classification. - Munawar Hayat; Mohammed Bennamoun; Senjian An (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Quantitative Error Analysis of Bilateral Filtering. - Senjian An; Farid Boussaïd; Mohammed Bennamoun; Ferdous Ahmed Sohel (IEEE Signal Process. Lett., 2015)

Human Interaction Prediction Using Deep Temporal Features. - Qiuhong Ke; Mohammed Bennamoun; Senjian An; Farid Boussaïd; Ferdous Ahmed Sohel (ECCV Workshops (2), 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 (ICIP, 2016)

Spatial, Structural and Temporal Feature Learning for Human Interaction Prediction. - Qiuhong Ke; Mohammed Bennamoun; Senjian An; Farid Boussaïd; Ferdous Ahmed Sohel (CoRR, 2016)

A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification. - Munawar Hayat; Salman H. Khan 001; Mohammed Bennamoun; Senjian An (IEEE Trans. Image Process., 2016)

A New Representation of Skeleton Sequences for 3D Action Recognition. - Qiuhong Ke; Mohammed Bennamoun; Senjian An; Ferdous Ahmed Sohel; Farid Boussaïd (CVPR, 2017)

Resfeats: Residual network based features for image classification. - Ammar Mahmood; Mohammed Bennamoun; Senjian An; Ferdous Ahmed Sohel (ICIP, 2017)

From Deep to Shallow: Transformations of Deep Rectifier Networks. - Senjian An; Farid Boussaïd; Mohammed Bennamoun; Jiankun Hu (CoRR, 2017)

On the Compressive Power of Deep Rectifier Networks for High Resolution Representation of Class Boundaries. - Senjian An; Mohammed Bennamoun; Farid Boussaïd (CoRR, 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)

Global Regularizer and Temporal-Aware Cross-Entropy for Skeleton-Based Early Action Recognition. - Qiuhong Ke; Jun Liu 036; Mohammed Bennamoun; Hossein Rahmani 001; Senjian An; Ferdous Sohel; Farid Boussaïd (ACCV (4), 2018)

Classification of Corals in Reflectance and Fluorescence Images Using Convolutional Neural Network Representations. - Lian Xu; Mohammed Bennamoun; Senjian An; Ferdous Sohel; Farid Boussaïd (ICASSP, 2018)

Identity Adaptation for Person Re-Identification. - Qiuhong Ke; Mohammed Bennamoun; Hossein Rahmani 001; Senjian An; Ferdous Sohel; Farid Boussaïd (IEEE Access, 2018)

Exploiting layerwise convexity of rectifier networks with sign constrained weights. - Senjian An; Farid Boussaïd; Mohammed Bennamoun; Ferdous Sohel (Neural Networks, 2018)

Response to "Ghost Numbers". - Munawar Hayat; Mohammed Bennamoun; Senjian An (IEEE Trans. Pattern Anal. Mach. Intell., 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)

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)

Deep Learning for Driverless Vehicles. - Cameron Hodges; Senjian An; Hossein Rahmani 001; Mohammed Bennamoun (Handbook of Deep Learning Applications, 2019)

Deep Learning for Marine Species Recognition. - Lian Xu; Mohammed Bennamoun; Senjian An; Ferdous Sohel; Farid Boussaïd (Handbook of Deep Learning Applications, 2019)

Efficient Gaussian Distance Transforms for Image Processing. - Senjian An; Yiwei Liu; Wanquan Liu; Ling Li 006 (ADMA, 2019)

Improved Algorithms for Zero Shot Image Super-Resolution with Parametric Rectifiers. - Jiayi Zhu; Senjian An; Wanquan Liu; Ling Li 006 (ADMA, 2019)

An Improved Approach to Weakly Supervised Semantic Segmentation. - Lian Xu; Mohammed Bennamoun; Farid Boussaïd; Senjian An; Ferdous Sohel (ICASSP, 2019)

Coral Classification Using DenseNet and Cross-modality Transfer Learning. - Lian Xu; Mohammed Bennamoun; Farid Boussaïd; Senjian An; Ferdous Sohel (IJCNN, 2019)

Semi-supervised Learning on Graph with an Alternating Diffusion Process. - Qilin Li; Senjian An; Ling Li 006; Wanquan Liu (CoRR, 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)

Nonlinear diffusion based image segmentation using two fast algorithms. - Lu Tan; Ling Li 006; Senjian An; Zhenkuan Pan 001 (Math. Found. Comput., 2019)

Haze pollution causality mining and prediction based on multi-dimensional time series with PS-FCM. - Zhen Peng; Wanquan Liu; Senjian An (Inf. Sci., 2020)

ResFeats: Residual network based features for underwater image classification. - Ammar Mahmood; Mohammed Bennamoun; Senjian An; Ferdous Sohel; Farid Boussaïd (Image Vis. Comput., 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)

Learning Latent Global Network for Skeleton-Based Action Prediction. - Qiuhong Ke; Mohammed Bennamoun; Hossein Rahmani 001; Senjian An; Ferdous Sohel; Farid Boussaïd (IEEE Trans. Image Process., 2020)

Fixed-point algorithms for inverse of residual rectifier neural networks. - Ruhua Wang; Senjian An; Wanquan Liu; Ling Li 006 (Math. Found. Comput., 2021)

Semisupervised Learning on Graphs With an Alternating Diffusion Process. - Qilin Li; Senjian An; Wanquan Liu; Ling Li 006 (IEEE Trans. Neural Networks Learn. Syst., 2021)

3D Face Reconstruction with Mobile Phone Cameras for Rare Disease Diagnosis. - Yiwei Liu; Ling Li 006; Senjian An; Petra Helmholz; Richard Palmer; Gareth Baynam (AI, 2022)

Unsupervised learning of multi-task deep variational model. - Lu Tan; Ling Li 006; Wan Quan Liu; Senjian An; Kylie Munyard (J. Vis. Commun. Image Represent., 2022)

EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Series. - Jie Liu 076; Qilin Li; Senjian An; Bradley Ezard; Ling Li 006 (CoRR, 2023)

Multi-View Diffusion Process for Spectral Clustering and Image Retrieval. - Qilin Li; Senjian An; Ling Li 006; Wanquan Liu; Yanda Shao (IEEE Trans. Image Process., 2023)

Combining Raft-Based Stereo Disparity and Optical Flow Models For Scene Flow Estimation. - Huizhu Pan; Ling Li 006; Senjian An; Hui Xie 002 (ICIP, 2024)

EdgeConvFormer: An Unsupervised Anomaly Detection Method for Multivariate Time Series. - Jie Liu 076; Qilin Li; Senjian An; Bradley Ezard; Ling Li 006 (ICPR (4), 2024)

Structural damage detection and localization via an unsupervised anomaly detection method. - Jie Liu 076; Qilin Li; Ling Li 006; Senjian An (Reliab. Eng. Syst. Saf., 2024)

Invertible Residual Blocks in Deep Learning Networks. - Ruhua Wang; Senjian An; Wanquan Liu; Ling Li 006 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multiple Instance Learning for Visual Grain Quality Analysis Without Instance-level Annotation. - Bradley Ezard; Ling Li 006; Senjian An (CVPR Workshops, 2025)