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2020 – today
- 2024
[j34]Jie Liu
, Qilin Li, Ling Li, Senjian An:
Structural damage detection and localization via an unsupervised anomaly detection method. Reliab. Eng. Syst. Saf. 252: 110465 (2024)- [j33]Ruhua Wang, Senjian An, Wanquan Liu, Ling Li:
Invertible Residual Blocks in Deep Learning Networks. IEEE Trans. Neural Networks Learn. Syst. 35(7): 10167-10173 (2024) - 2023
- [j32]Qilin Li, Senjian An, Ling Li, Wanquan Liu, Yanda Shao:
Multi-View Diffusion Process for Spectral Clustering and Image Retrieval. IEEE Trans. Image Process. 32: 4610-4620 (2023) - [i10]Jie Liu, Qilin Li, Senjian An, Bradley Ezard, Ling Li:
EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Series. CoRR abs/2312.01729 (2023) - 2022
- [j31]Lu Tan, Ling Li, Wan Quan Liu, Senjian An, Kylie Munyard:
Unsupervised learning of multi-task deep variational model. J. Vis. Commun. Image Represent. 87: 103588 (2022) - [c41]Yiwei Liu, Ling Li, Senjian An, Petra Helmholz, Richard Palmer, Gareth Baynam:
3D Face Reconstruction with Mobile Phone Cameras for Rare Disease Diagnosis. AI 2022: 544-556 - 2021
- [j30]Ruhua Wang, Senjian An, Wanquan Liu, Ling Li:
Fixed-point algorithms for inverse of residual rectifier neural networks. Math. Found. Comput. 4(1): 31 (2021) - [j29]Qilin Li, Senjian An, Wanquan Liu, Ling Li:
Semisupervised Learning on Graphs With an Alternating Diffusion Process. IEEE Trans. Neural Networks Learn. Syst. 32(7): 2862-2874 (2021) - 2020
- [j28]Zhen Peng, Wanquan Liu, Senjian An:
Haze pollution causality mining and prediction based on multi-dimensional time series with PS-FCM. Inf. Sci. 523: 307-317 (2020) - [j27]Ammar Mahmood, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd:
ResFeats: Residual network based features for underwater image classification. Image Vis. Comput. 93: 103811 (2020) - [j26]Ammar Mahmood, Ana Giraldo Ospina, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd, Renae Hovey, Robert B. Fisher, Gary A. Kendrick:
Automatic Hierarchical Classification of Kelps Using Deep Residual Features. Sensors 20(2): 447 (2020) - [j25]Qiuhong Ke, Mohammed Bennamoun, Hossein Rahmani, Senjian An, Ferdous Sohel, Farid Boussaïd:
Learning Latent Global Network for Skeleton-Based Action Prediction. IEEE Trans. Image Process. 29: 959-970 (2020)
2010 – 2019
- 2019
- [j24]Lu Tan, Ling Li, Senjian An, Zhenkuan Pan:
Nonlinear diffusion based image segmentation using two fast algorithms. Math. Found. Comput. 2(2): 149-168 (2019) - [c40]Jiayi Zhu, Senjian An, Wanquan Liu, Ling Li:
Improved Algorithms for Zero Shot Image Super-Resolution with Parametric Rectifiers. ADMA 2019: 548-561 - [c39]Senjian An, Yiwei Liu, Wanquan Liu, Ling Li:
Efficient Gaussian Distance Transforms for Image Processing. ADMA 2019: 671-680 - [c38]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Senjian An, Ferdous Sohel:
An Improved Approach to Weakly Supervised Semantic Segmentation. ICASSP 2019: 1897-1901 - [c37]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Senjian An, Ferdous Sohel:
Coral Classification Using DenseNet and Cross-modality Transfer Learning. IJCNN 2019: 1-8 - [p2]Cameron Hodges, Senjian An, Hossein Rahmani, Mohammed Bennamoun:
Deep Learning for Driverless Vehicles. Handbook of Deep Learning Applications 2019: 83-99 - [p1]Lian Xu, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd:
Deep Learning for Marine Species Recognition. Handbook of Deep Learning Applications 2019: 129-145 - [i9]Qilin Li, Senjian An, Ling Li, Wanquan Liu:
Semi-supervised Learning on Graph with an Alternating Diffusion Process. CoRR abs/1902.06105 (2019) - [i8]Ammar Mahmood, Ana Giraldo Ospina, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd, Renae Hovey, Robert B. Fisher, Gary A. Kendrick:
Hierarchical Classification of Kelps utilizing Deep Residual Features. CoRR abs/1906.10881 (2019) - 2018
- [j23]Qiuhong Ke, Mohammed Bennamoun, Hossein Rahmani, Senjian An, Ferdous Sohel, Farid Boussaïd:
Identity Adaptation for Person Re-Identification. IEEE Access 6: 48147-48155 (2018) - [j22]Senjian An, Farid Boussaïd, Mohammed Bennamoun, Ferdous Sohel:
Exploiting layerwise convexity of rectifier networks with sign constrained weights. Neural Networks 105: 419-430 (2018) - [j21]Munawar Hayat, Mohammed Bennamoun, Senjian An:
Response to "Ghost Numbers". IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2540 (2018) - [j20]Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel, Farid Boussaïd:
Learning Clip Representations for Skeleton-Based 3D Action Recognition. IEEE Trans. Image Process. 27(6): 2842-2855 (2018) - [j19]Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel, Farid Boussaïd:
Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction. IEEE Trans. Multim. 20(7): 1712-1723 (2018) - [c36]Qiuhong Ke, Jun Liu, Mohammed Bennamoun, Hossein Rahmani, Senjian An, Ferdous Sohel, Farid Boussaïd:
Global Regularizer and Temporal-Aware Cross-Entropy for Skeleton-Based Early Action Recognition. ACCV (4) 2018: 729-745 - [c35]Lian Xu, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd:
Classification of Corals in Reflectance and Fluorescence Images Using Convolutional Neural Network Representations. ICASSP 2018: 1493-1497 - 2017
- [j18]Qiuhong Ke, Senjian An, Mohammed Bennamoun, Ferdous Ahmed Sohel, Farid Boussaïd:
SkeletonNet: Mining Deep Part Features for 3-D Action Recognition. IEEE Signal Process. Lett. 24(6): 731-735 (2017) - [c34]Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel, Farid Boussaïd:
A New Representation of Skeleton Sequences for 3D Action Recognition. CVPR 2017: 4570-4579 - [c33]Ammar Mahmood, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel:
Resfeats: Residual network based features for image classification. ICIP 2017: 1597-1601 - [i7]Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel, Farid Boussaïd:
A New Representation of Skeleton Sequences for 3D Action Recognition. CoRR abs/1703.03492 (2017) - [i6]Senjian An, Farid Boussaïd, Mohammed Bennamoun, Jiankun Hu:
From Deep to Shallow: Transformations of Deep Rectifier Networks. CoRR abs/1703.10355 (2017) - [i5]Senjian An, Mohammed Bennamoun, Farid Boussaïd:
On the Compressive Power of Deep Rectifier Networks for High Resolution Representation of Class Boundaries. CoRR abs/1708.07244 (2017) - [i4]Senjian An, Farid Boussaïd, Mohammed Bennamoun, Ferdous Ahmed Sohel:
Exploiting Layerwise Convexity of Rectifier Networks with Sign Constrained Weights. CoRR abs/1711.05627 (2017) - 2016
- [j17]Munawar Hayat, Salman H. Khan, Mohammed Bennamoun, Senjian An:
A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification. IEEE Trans. Image Process. 25(10): 4829-4841 (2016) - [c32]Qiuhong Ke, Mohammed Bennamoun, Senjian An, Farid Boussaïd, Ferdous Ahmed Sohel:
Human Interaction Prediction Using Deep Temporal Features. ECCV Workshops (2) 2016: 403-414 - [c31]Ammar Mahmood, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel, Farid Boussaïd, Renae Hovey, Gary A. Kendrick, Robert B. Fisher:
Coral classification with hybrid feature representations. ICIP 2016: 519-523 - [i3]Qiuhong Ke, Mohammed Bennamoun, Senjian An, Farid Boussaïd, Ferdous Ahmed Sohel:
Spatial, Structural and Temporal Feature Learning for Human Interaction Prediction. CoRR abs/1608.05267 (2016) - [i2]Ammar Mahmood, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel:
ResFeats: Residual Network Based Features for Image Classification. CoRR abs/1611.06656 (2016) - 2015
- [j16]Munawar Hayat, Mohammed Bennamoun, Senjian An:
Deep Reconstruction Models for Image Set Classification. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 713-727 (2015) - [j15]Senjian An, Farid Boussaïd, Mohammed Bennamoun, Ferdous Ahmed Sohel:
Quantitative Error Analysis of Bilateral Filtering. IEEE Signal Process. Lett. 22(2): 202-206 (2015) - [c30]Senjian An, Munawar Hayat, Salman H. Khan, Mohammed Bennamoun, Farid Boussaïd, Ferdous Ahmed Sohel:
Contractive Rectifier Networks for Nonlinear Maximum Margin Classification. ICCV 2015: 2515-2523 - [c29]Senjian An, Farid Boussaïd, Mohammed Bennamoun:
How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances? ICML 2015: 514-523 - [c28]Senjian An, Qiuhong Ke, Mohammed Bennamoun, Farid Boussaïd, Ferdous Ahmed Sohel:
Sign Constrained Rectifier Networks with Applications to Pattern Decompositions. ECML/PKDD (1) 2015: 546-559 - [i1]Munawar Hayat, Salman H. Khan, Mohammed Bennamoun, Senjian An:
A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification. CoRR abs/1506.05532 (2015) - 2014
- [j14]Billy Y. L. Li, Wanquan Liu, Senjian An, Aneesh Krishna:
Robust Face Recognition by Utilizing Color Information and Sparse Representation. Int. J. Pattern Recognit. Artif. Intell. 28(3) (2014) - [c27]Munawar Hayat, Mohammed Bennamoun, Senjian An:
Learning Non-linear Reconstruction Models for Image Set Classification. CVPR 2014: 1915-1922 - [c26]Munawar Hayat, Mohammed Bennamoun, Senjian An:
Reverse Training: An Efficient Approach for Image Set Classification. ECCV (6) 2014: 784-799 - 2013
- [j13]Antoni Liang, Senjian An, Wanquan Liu:
Efficient sub-window search with fixed shape sub-windows. Int. J. Mach. Learn. Cybern. 4(1): 41-49 (2013) - 2012
- [j12]Billy Y. L. Li, Wanquan Liu, Senjian An, Aneesh Krishna, Tianwei Xu:
Face recognition using various scales of discriminant color space transform. Neurocomputing 94: 68-76 (2012) - [c25]Billy Y. L. Li, Wanquan Liu, Senjian An, Aneesh Krishna:
Tensor based robust color face recognition. ICPR 2012: 1719-1722 - 2011
- [j11]Senjian An, Wanquan Liu, Svetha Venkatesh, Hong Yan:
Unified formulation of linear discriminant analysis methods and optimal parameter selection. Pattern Recognit. 44(2): 307-319 (2011) - [j10]Chong Lu, Senjian An, Wanquan Liu, Xiaodong Liu:
An Innovative Weighted 2DLDA Approach for Face Recognition. J. Signal Process. Syst. 65(1): 81-87 (2011) - [c24]Xiaoming Chen, Senjian An, Wanquan Liu, Wanqing Li:
Object Detection by Admissible Region Search. Australasian Conference on Artificial Intelligence 2011: 521-530 - [c23]Antoni Liang, Senjian An, Wanquan Liu:
Fast Sub-window Search with Square Shape. Australasian Conference on Artificial Intelligence 2011: 540-549 - [c22]Senjian An, Patrick Peursum, Wanquan Liu, Svetha Venkatesh:
Efficient subwindow search with submodular score functions. CVPR 2011: 1409-1416 - [c21]Billy Y. L. Li, Senjian An, Wanquan Liu, Aneesh Krishna:
The MCF Model: Utilizing Multiple Colors for Face Recognition. ICIG 2011: 1029-1034 - [c20]Ke Fan, Wanquan Liu, Senjian An, Xiaoming Chen:
Margin Preserving Projection for Image Set Based Face Recognition. ICONIP (2) 2011: 681-689 - 2010
- [c19]Senjian An, Patrick Peursum, Wanquan Liu, Svetha Venkatesh, Xiaoming Chen:
Exploiting Monge structures in optimum subwindow search. CVPR 2010: 926-933
2000 – 2009
- 2009
- [c18]Senjian An, Patrick Peursum, Wanquan Liu, Svetha Venkatesh:
Efficient algorithms for subwindow search in object detection and localization. CVPR 2009: 264-271 - [c17]Chong Lu, Senjian An, Wanquan Liu, Xiaodong Liu:
An Innovative Weighted 2DLDA Approach for Face Recognition. PCM 2009: 110-118 - 2008
- [j9]Chong Lu, Wanquan Liu, Senjian An:
A simplified GLRAM algorithm for face recognition. Neurocomputing 72(1-3): 212-217 (2008) - [c16]Senjian An, Wanquan Liu, Svetha Venkatesh:
Exploiting side information in locality preserving projection. CVPR 2008 - [c15]Chong Lu, Wanquan Liu, Xiaodong Liu, Senjian An:
Double Sides 2DPCA for Face Recognition. ICIC (1) 2008: 446-459 - [c14]Fang Chen, Senjian An, Wanquan Liu:
A New Face Recognition Approach to Boosting the Worst-Case Performance. PCM 2008: 927-930 - 2007
- [j8]Ronny Tjahyadi, Wanquan Liu, Senjian An, Svetha Venkatesh:
Face recognition based on ordinal correlation. Int. J. Intell. Syst. Technol. Appl. 3(3/4): 226-240 (2007) - [j7]Senjian An, Wanquan Liu, Svetha Venkatesh:
Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression. Pattern Recognit. 40(8): 2154-2162 (2007) - [c13]Senjian An, Wanquan Liu, Svetha Venkatesh:
Face Recognition Using Kernel Ridge Regression. CVPR 2007 - [c12]Ronny Tjahyadi, Wanquan Liu, Senjian An, Svetha Venkatesh:
Face Recognition via the Overlapping Energy Histogram. IJCAI 2007: 2891-2896 - [c11]Senjian An, Wanquan Liu, Svetha Venkatesh:
Acquiring Critical Light Points for Illumination Subspaces of Face Images by Affinity Propagation Clustering. PCM 2007: 647-654 - 2006
- [j6]Senjian An, Wanquan Liu, Svetha Venkatesh, Ronny Tjahyadi:
A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers. Neural Process. Lett. 24(2): 137-151 (2006) - [c10]Senjian An, Wanquan Liu, Svetha Venkatesh:
Efficient Cross-validation of the Complete Two Stages in KFD Classifier Formulation. ICPR (3) 2006: 240-244 - 2005
- [j5]Senjian An, Jonathan H. Manton, Yingbo Hua:
A sequential subspace method for blind identification of general FIR MIMO channels. IEEE Trans. Signal Process. 53(10): 3906-3910 (2005) - [j4]Senjian An, Yingbo Hua, Jonathan H. Manton, Zheng Fang:
Group decorrelation enhanced subspace method for identifying FIR MIMO channels driven by unknown uncorrelated colored sources. IEEE Trans. Signal Process. 53(12): 4429-4441 (2005) - [c9]Senjian An, Wanquan Liu, Svetha Venkatesh:
Fast cross-validation of kernel Fisher discriminant classifiers. ICMLA 2005 - 2004
- [j3]Senjian An, Wanquan Liu:
Robust D-stability with mixed-type uncertainties. IEEE Trans. Autom. Control. 49(10): 1878-1884 (2004) - 2003
- [j2]Yingbo Hua, Senjian An, Yong Xiang:
Blind identification of FIR MIMO channels by decorrelating subchannels. IEEE Trans. Signal Process. 51(5): 1143-1155 (2003) - [c8]Senjian An, Wanquan Liu, Jonathan H. Manton:
Convex directions for nested Hurwitz polynomials. CDC 2003: 6460-6461 - [c7]Senjian An, Yingbo Hua, Jonathan H. Manton:
Blind identification of FIR MIMO channels by group decorrelation. ICASSP (5) 2003: 113-116 - 2002
- [c6]Yong Xiang, Yingbo Hua, Senjian An, Alex Acero:
Separating colorred signals distorted by convolutive channels using diagonal constrained decorrelation. ICASSP 2002: 3069-3072 - 2001
- [c5]Senjian An, Wanquan Liu:
Robust stability of polynomials with nonlinear dependent coefficient perturbations. CDC 2001: 1551-1556 - [c4]Yong Xiang, Yingbo Hua, Senjian An, Alex Acero:
Experimental investigation of delayed instantaneous demixer for speech enhancement. ICASSP 2001: 633-636 - [c3]Yingbo Hua, Senjian An, Yong Xiang:
Blind identification and equalization of FIR MIMO channels by BIDS. ICASSP 2001: 2157-2160 - [c2]Senjian An, Yingbo Hua:
Blind signal separation and blind system identification of irreducible MIMO channels. ISSPA 2001: 276-279 - 2000
- [j1]Senjian An, Lin Huang, Enping Wang:
On the parametric H∞ problems of weighted interval plants. IEEE Trans. Autom. Control. 45(2): 332-335 (2000) - [c1]Senjian An, Xiheng Hu, Branka Vucetic, Wanquan Liu:
Vertex results for parametric shifted H∞ performance of weighted interval plants. CDC 2000: 4195-4196
Coauthor Index
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last updated on 2024-10-25 20:11 CEST by the dblp team
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