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    Number of items: 34.

    Article

    Hu, J. and Zhang, X. and Maybank, Stephen (2020) Abnormal driving detection with normalized driving behavior data: a deep learning approach. IEEE Transactions on Vehicular Technology , ISSN 00189545. (In Press)

    Liao, L. and Maybank, Stephen (2020) Generalized visual information analysis via tensorial algebra. Journal of Mathematical Imaging and Vision 62 , pp. 560-584. ISSN 0924-9907.

    Wang, K. and Ding, C. and Maybank, Stephen and Tao, D. (2019) CDPM: convolutional deformable part models for semantically aligned person re-identification. IEEE Transactions on Image Processing , ISSN 1057-7149. (In Press)

    Luo, G. and Wei, J. and Hu, W. and Maybank, Stephen (2019) Tangent Fisher vector on matrix manifolds for action recognition. IEEE Transactions on Image Processing , ISSN 1057-7149. (In Press)

    Hu, W. and Shi, X. and Zhou, Z. and Xing, J. and Ling, H. and Maybank, Stephen (2019) Dual L1-normalized context aware tensor power iteration and its applications to multi-object tracking and multi-graph matching. International Journal of Computer Vision , ISSN 0920-5691. (In Press)

    Zhang, X. and Liu, Q. and Wang, D. and Zhao, L. and Gu, N. and Maybank, Stephen (2019) Self-taught semi-supervised dictionary learning with non-negative constraint. IEEE Transactions on Industrrial Informatics , ISSN 1551-3203. (In Press)

    Qiu, J. and Wang, X. and Maybank, Stephen and Tao, D. (2019) World from blur. IEEE Computer Society Conference on Computer Vision and Pattern Recognition , ISSN 1063-6919. (In Press)

    Gao, J. and Wang, Q. and Xing, J. and Ling, H. and Hu, W. and Maybank, Stephen (2018) Tracking-by-fusion via Gaussian Process Regression extended to transfer learning. IEEE Transactions on Pattern Analysis and Machine Intelligence , ISSN 0162-8828. (In Press)

    Hu, W. and Gao, J. and Wu, O. and Du, J. and Maybank, Stephen (2018) Anomaly detection using local kernel density estimation and context-based regression. IEEE Transactions on Knowledge and Data Engineering , ISSN 1041-4347. (In Press)

    Yang, H. and Yuan, C. and Li, B. and Du, Y. and Xing, J. and Hu, W. and Maybank, Stephen (2018) Asymmetric 3D Convolutional Neural Networks for Action Recognition. Pattern Recognition 85 , pp. 1-12. ISSN 0031-3203.

    Hu, W. and Wu, B. and Wang, P. and Yuan, C. and Li, Y. and Maybank, Stephen (2018) Context-dependent random walk graph kernels and tree pattern graph matching kernels with applications to action recognition. IEEE Transactions on Image Processing , ISSN 1057-7149. (In Press)

    Hu, W. and Fan, Y. and Xing, J. and Sun, L. and Cai, Z. and Maybank, Stephen (2018) Deep constrained siamese hash coding network and load-balanced locality-sensitive hashing for near duplicate image detection. IEEE Transactions on Image Processing 27 (9), pp. 4452-4464. ISSN 1057-7149.

    Wang, Q. and Teng, Z. and Xing, J. and Gao, J. and Hu, W. and Maybank, Stephen (2018) Learning attentions: residual attentional Siamese Network for high performance online visual tracking. IEEE Computer Society Conference on Computer Vision and Pattern Recognition , ISSN 1063-6919. (In Press)

    Li, B. and Yuan, C. and Xiong, W. and Hu, W. and Peng, H. and Ding, X. and Maybank, Stephen (2017) Multi-view multi-instance learning based on joint sparse representation and multi-view dictionary learning. IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (12), pp. 2554-2560. ISSN 0162-8828.

    Hu, W. and Tian, G. and Kang, Y. and Yuan, C. and Maybank, Stephen (2017) Dual sticky hierarchical Dirichlet process hidden Markov model and its application to natural language description of motions. IEEE Transactions on Pattern Analysis and Machine Intelligence (99), ISSN 0162-8828.

    Li, K. and Xing, J. and Hu, W. and Maybank, Stephen (2017) D2C: deep cumulatively and comparatively learning for human age estimation. Pattern Recognition 66 , pp. 95-105. ISSN 0031-3203.

    Liu, K. and Zhang, J. and Yang, P. and Maybank, Stephen and Huang, K. (2017) GRMA: Generalized Range Move Algorithms for the efficient optimization of MRFs. International Journal of Computer Vision 121 (3), pp. 365-390. ISSN 0920-5691.

    Farmer, Michael and Loizou, George and Maybank, Stephen (2017) Iteration functions re-visited. Journal of Computational and Applied Mathematics 311 , pp. 484-496. ISSN 0377-0427.

    Hu, W. and Gao, J. and Xing, J. and Zhang, C. and Maybank, Stephen (2017) Semi-supervised tensor-based graph embedding learning and its application to visual discriminant tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (1), pp. 172-188. ISSN 0162-8828.

    Ren, Y. and Liao, L. and Maybank, Stephen and Zhang, Y. and Liu, X. (2017) Hyperspectral image spectral-spatial feature extraction via tensor principal component analysis. IEEE Geoscience and Remote Sensing Letters 14 (9), pp. 1431-1435. ISSN 1545-598X.

    Zhen, X. and Shao, L. and Maybank, Stephen and Chellappa, R. (2016) Handcrafted vs. learned representations for human action recognition. Image and Vision Computing 55 (2), pp. 39-41. ISSN 0262-8856.

    Kao, Y. and Huang, K. and Maybank, Stephen (2016) Hierarchical aesthetic quality assessment using deep convolutional neural networks. Signal Processing: Image Communication 47 (C), pp. 500-510. ISSN 0923-5965.

    Gong, C. and Tao, D. and Maybank, Stephen and Liu, W. and Kang, G. and Yang, J. (2016) Multi-modal curriculum learning for semi-supervised image classification. IEEE Transactions on Image Processing 25 (7), pp. 3249-3260. ISSN 1057-7149.

    Peng, H. and Li, B. and Ling, H. and Hu, W. and Xiong, W. and Maybank, Stephen (2016) Salient Object Detection via Structured Matrix Decomposition. IEEE Transactions on Pattern Analysis and Machine Intelligence 99 , ISSN 0162-8828.

    Raman, Natraj and Maybank, Stephen (2016) Activity recognition using a supervised non-parametric hierarchical HMM. Neurocomputing 199 , pp. 163-177. ISSN 0925-2312.

    Liu, T. and Tao, D. and Song, M. and Maybank, Stephen (2016) Algorithm-dependent generalization bounds for multi-task learning. IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (2), pp. 227-241. ISSN 0162-8828.

    Gong, C. and Tao, D. and Wei, L. and Maybank, Stephen and Meng, F. and Fu, K. and Yang, Jie (2015) Saliency propagation from simple to difficult. IEEE Computer Society Conference on Computer Vision and Pattern Recognition , pp. 2531-2539. ISSN 1063-6919.

    Weiming, H. and Jun, G. and Yanguo, W. and Ou, W. and Maybank, Stephen (2014) Online Adaboost-based parameterized methods for dynamic distributed network intrusion detection. IEEE Transactions on Cybernetics 44 (1), pp. 66-82. ISSN 2168-2267.

    Wang, Q. and Zhang, M. and Xing, J. and Gao, J. and Hu, W. and Maybank, Stephen Do not lose the details: reinforced representation learning for high performance visual tracking. 27th International Joint Conference on Artificial Intelligence , (In Press)

    Book Section

    Zhang, M. and Wang, Q. and Xing, J. and Gao, J. and Peng, P. and Hu, W. and Maybank, Stephen (2018) Visual tracking via spatially aligned correlation filters network. In: Ferrari, V. and Hebert, M. and Sminchisescu, C. and Weiss, Y. (eds.) Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11207. Springer, pp. 484-500. ISBN 9783030012182.

    Du, Y. and Yuan, C. and Hu, W. and Maybank, Stephen (2017) Spatio-temporal self-organizing map deep network for dynamic object detection from videos. In: UNSPECIFIED (ed.) IEEE Conference on Computer Vison and Pattern Recognition 2017. IEEE Computer Society. ISBN 9781538604588.

    Liao, L. and Maybank, Stephen and Zhang, Y. and Liu, X. (2017) Supervised classification via constrained subspace and tensor sparse representation. In: UNSPECIFIED (ed.) Neural Networks (IJCNN), 2017 International Joint Conference on. IEEE Computer Society. ISBN 9781509061839.

    Maybank, Stephen and Raman, N. (2016) Non-parametric hidden conditional random fields for action classification. In: UNSPECIFIED (ed.) 2016 International Joint Conference on Neural Networks (IJCNN) - Proceedings. New Jersey, U.S.: IEEE Computer Society, pp. 3256-3263. ISBN 9781509006205.

    Conference or Workshop Item

    Li, K. and Junliang, X. and Chi, S. and Weiming, H. and Zhang, Y. and Maybank, Stephen (2018) Deep cost-sensitive and order-preserving feature learning for cross-population age estimation. In: IEEE Conference on Computer Vision and Pattern Recognition, 2018: CVPR 2018, 18-22 Jun 2018, Salt Lake City, U.S.. (In Press)

    This list was generated on Thu Oct 29 04:13:16 2020 GMT.