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Refereed journal papers · 76

pdf year title venue authors
’17 Structured learning of binary codes with column generation for optimizing ranking measures [...more] IJCV G. Lin, F. Liu, C. Shen, J. Wu, H. Shen
’17 Removal of optically thick clouds from high-resolution satellite imagery using dictionary group learning and interdictionary nonlocal joint sparse coding JSTAEORS Y. Li, W. Li, C. Shen
’17 Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition PR R. Qiao, L. Liu, C. Shen, A. van den Hengel
’17 Deep linear discriminant analysis on Fisher networks: a hybrid architecture for person re-identification PR L. Wu, C. Shen, A. van den Hengel
’17 Pushing the limits of deep CNNs for pedestrian detection TCSVT Q. Hu, P. Wang, C. Shen, A. van den Hengel, F. Porikli
’17 Crowd counting via weighted VLAD on dense attribute feature maps TCSVT B. Sheng, C. Shen, G. Lin, J. Li, W. Yang, C. Sun
’17 Discriminative training of deep fully-connected continuous CRF with task-specific loss TIP F. Liu, G. Lin, C. Shen
’17 Exploiting depth from single monocular images for object detection and semantic segmentation TIP Y. Cao, C. Shen, H. Shen
’17 Deep CNNs with spatially weighted pooling for fine-grained car recognition TITS Q. Hu, H. Wang, T. Li, C. Shen
’17 Structured learning of tree potentials in CRF for image segmentation TNN F. Liu, G. Lin, R. Qiao, C. Shen
’17 Exploring context with deep structured models for semantic segmentation TPAMI G. Lin, C. Shen, A. van den Hengel, I. Reid
’17 Image captioning and visual question answering based on attributes and external knowledge TPAMI Q. Wu, C. Shen, A. van den Hengel, P. Wang, A. Dick
’17 Compositional model based Fisher vector coding for image classification TPAMI L. Liu, P. Wang, C. Shen, L. Wang, A. van den Hengel, C. Wang, H. Shen
’17 Cross-convolutional-layer pooling for image recognition TPAMI L. Liu, C. Shen, A. van den Hengel
’16 Structured learning of metric ensembles with application to person re-identification CVIU S. Paisitkriangkrai, L. Wu, C. Shen, A. van den Hengel
’16 Mining mid-level visual patterns with deep CNN activations [...more] IJCV Y. Li, L. Liu, C. Shen, A. van den Hengel
’16 Efficient semidefinite branch-and-cut for MAP-MRF inference IJCV P. Wang, C. Shen, A. van den Hengel, P. Torr
’16 Unsupervised feature learning for dense correspondences across scenes [...more] IJCV C. Zhang, C. Shen, T. Shen
’16 Online unsupervised feature learning for visual tracking IVC F. Liu, C. Shen, I. Reid, A. van den Hengel
’16 Canonical principal angles correlation analysis for two-view data JVCIR S. Wang, J. Lu, X. Gu, C. Shen, R. Xia, J. Yang
’16 Face recognition using linear representation ensembles PR H. Li, F. Shen, C. Shen, Y. Yang, Y. Gao
’16 Face image classification by pooling raw features [...more] PR F. Shen, C. Shen, X. Zhou, Y. Yang, H. Shen
’16 Temporal pyramid pooling based convolutional neural network for action recognition TCSVT P. Wang, Y. Cao, C. Shen, L. Liu, H. Shen
’16 Part-based robust tracking using online latent structured learning TCSVT R. Yao, Q. Shi, C. Shen, Y. Zhang, A. van den Hengel
’16 Dictionary learning for promoting structured sparsity in hyerpsectral compressive sensing TGRS L. Zhang, W. Wei, Y. Zhang, C. Shen, A. van den Hengel, Q. Shi
’16 Fast detection of multiple objects in traffic scenes with a common detection framework TITS Q. Hu, S. Paisitkriangkrai, C. Shen, A. van den Hengel, F. Porikli
’16 Scalable linear visual feature learning via online parallel nonnegative matrix factorization TNN X. Zhao, X. Li, Z. Zhang, C. Shen, L. Gao, X. Li
’16 Large-scale binary quadratic optimization using semidefinite relaxation and applications TPAMI P. Wang, C. Shen, A. van den Hengel, P. Torr
’16 Learning depth from single monocular images using deep convolutional neural fields [...more] TPAMI F. Liu, C. Shen, G. Lin, I. Reid
’16 Online metric-weighted linear representations for robust visual tracking TPAMI X. Li, C. Shen, A. Dick, Z. Zhang, Y. Zhuang
’16 Pedestrian detection with spatially pooled features and structured ensemble learning [...more] TPAMI S. Paisitkriangkrai, C. Shen, A. van den Hengel
’16 A generalized probabilistic framework for compact codebook creation TPAMI L. Liu, L. Wang, C. Shen
’15 Extrinsic methods for coding and dictionary learning on Grassmann manifolds [...more] IJCV M. Harandi, R. Hartley, C. Shen, B. Lovell, C. Sanderson
’15 CRF learning with CNN features for image segmentation PR F. Liu, G. Lin, C. Shen
’15 Hashing on nonlinear manifolds [...more] TIP F. Shen, C. Shen, Q. Shi, A. van den Hengel, Z. Tang, H. Shen
’15 Worst-case linear discriminant analysis as scalable semidefinite feasibility problems [...more] TIP H. Li, C. Shen, A. van den Hengel, Q. Shi
’15 A computational model of the short-cut rule for 2D shape decomposition TIP L. Luo, C. Shen, X. Liu, C. Zhang
’15 Supervised hashing using graph cuts and boosted decision trees [...more] TPAMI G. Lin, C. Shen, A. van den Hengel
’14 Fast approximate \(l_\infty\) minimization: Speeding up robust regression CSDA F. Shen, C. Shen, R. Hill, A. van den Hengel, Z. Tang
’14 Multiple kernel learning in the primal for multi-modal Alzheimer's disease classification JBHI F. Liu, L. Zhou, C. Shen, J. Yin
’14 Multiple kernel clustering based on centered kernel alignment PR Y. Lu, L. Wang, J. Lu, J. Yang, C. Shen
’14 Large-margin learning of compact binary image encodings TIP S. Paisitkriangkrai, C. Shen, A. van den Hengel
’14 Efficient semidefinite spectral clustering via Lagrange duality TIP Y. Yan, C. Shen, H. Wang
’14 Characterness: An indicator of text in the wild [...more] TIP Y. Li, W. Jia, C. Shen, A. van den Hengel
’14 Context-aware hypergraph construction for robust spectral clustering TKDE X. Li, W. Hu, C. Shen, A. Dick, Z. Zhang
’14 Asymmetric pruning for learning cascade detectors TMM S. Paisitkriangkrai, C. Shen, A. van den Hengel
’14 Efficient dual approach to distance metric learning TNN C. Shen, J. Kim, F. Liu, L. Wang, A. van den Hengel
’14 A scalable stage-wise approach to large-margin multi-class loss based boosting TNN S. Paisitkriangkrai, C. Shen, A. van den Hengel
’14 RandomBoost: Simplified multi-class boosting through randomization TNN S. Paisitkriangkrai, C. Shen, Q. Shi, A. van den Hengel
’14 StructBoost: Boosting methods for predicting structured output variables TPAMI C. Shen, G. Lin, A. van den Hengel
’14 A hierarchical word-merging algorithm with class separability measure TPAMI L. Wang, L. Zhou, C. Shen, L. Liu, H. Liu
’13 Training effective node classifiers for cascade classification [...more] IJCV C. Shen, P. Wang, S. Paisitkriangkrai, A. van den Hengel
’13 Fully corrective boosting with arbitrary loss and regularization NN C. Shen, H. Li, A. van den Hengel
’13 Visual tracking with spatio-temporal Dempster-Shafer information fusion TIP X. Li, A. Dick, C. Shen, Z. Zhang, A. van den Hengel, H. Wang
’13 Approximate least trimmed sum of squares fitting and applications in image analysis TIP F. Shen, C. Shen, A. van den Hengel, Z. Tang
’13 A survey of appearance models in visual object tracking TIST X. Li, W. Hu, C. Shen, Z. Zhang, A. Dick, A. van den Hengel
’13 Shape similarity analysis by self-tuning locally constrained mixed-diffusion TMM L. Luo, C. Shen, C. Zhang, A. van den Hengel
’13 Incremental learning of 3D-DCT compact representations for robust visual tracking [...more] TPAMI X. Li, A. Dick, C. Shen, A. van den Hengel, H. Wang
’12 Positive semidefinite metric learning using boosting-like algorithms [...more] JMLR C. Shen, J. Kim, L. Wang, A. van den Hengel
’12 Fast and robust object detection using asymmetric totally-corrective boosting TNN P. Wang, C. Shen, N. Barnes, H. Zheng
’12 UBoost: Boosting with the Universum TPAMI C. Shen, P. Wang, F. Shen, H. Wang
’11 Efficiently learning a detection cascade with sparse eigenvectors TIP C. Shen, S. Paisitkriangkrai, J. Zhang
’11 Incremental training of a detector using online sparse eigen-decomposition TIP S. Paisitkriangkrai, C. Shen, J. Zhang
’10 Interactive color image segmentation with linear programming MVA H. Li, C. Shen
’10 Generalized kernel-based visual tracking [...more] TCSVT C. Shen, J. Kim, H. Wang
’10 Scalable large-margin Mahalanobis distance metric learning TNN C. Shen, J. Kim, L. Wang
’10 Feature selection with redundancy-constrained class separability TNN L. Zhou, L. Wang, C. Shen
’10 Boosting through optimization of margin distributions TNN C. Shen, H. Li
’10 On the dual formulation of boosting algorithms TPAMI C. Shen, H. Li
’08 Performance evaluation of local features in human classification and detection IETCV S. Paisitkriangkrai, C. Shen, J. Zhang
’08 Supervised dimensionality reduction via sequential semidefinite programming PR C. Shen, H. Li, M. Brooks
’08 Fast pedestrian detection using a cascade of boosted covariance features TCSVT S. Paisitkriangkrai, C. Shen, J. Zhang
’07 Fast global kernel density mode seeking: applications to localization and tracking TIP C. Shen, M. Brooks, A. van den Hengel
’07 Adaptive object tracking based on an effective appearance filter TPAMI H. Wang, D. Suter, K. Schindler, C. Shen
’04 Active control of radiation from a piston set in a rigid sphere JASA Z. Lin, J. Lu, C. Shen, X. Qiu, B. Xu
’03 Lattice form adaptive infinite impulse response filtering algorithm for active noise control JASA J. Lu, C. Shen, X. Qiu, B. Xu