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Frontiers in Neuroscience
Tsetsos, Konstantinos and Gao, J. and McClelland, J.L. and Usher, Marius (2012) Using time-varying evidence to test models of decision dynamics: bounded diffusion vs. the leaky competing accumulator model. Frontiers in Neuroscience 6 (79), pp. 6-79. ISSN 1662-453X.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Wang, Q. and Teng, Z. and Xing, J. and Gao, J. and Hu, W. and Maybank, Stephen J. (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.
IEEE Transactions on Knowledge and Data Engineering
Hu, W. and Gao, J. and Wu, O. and Du, J. and Maybank, Stephen J. (2018) Anomaly detection using local kernel density estimation and context-based regression. IEEE Transactions on Knowledge and Data Engineering 32 (2), pp. 218-233. ISSN 1041-4347.
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gao, J. and Wang, Q. and Xing, J. and Ling, H. and Hu, W. and Maybank, Stephen J. (2020) Tracking-by-fusion via Gaussian Process Regression extended to transfer learning. IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (4), pp. 939-955. ISSN 0162-8828.
Hu, W. and Gao, J. and Xing, J. and Zhang, C. and Maybank, Stephen J. (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.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
Wang, Q. and Zhang, M. and Xing, J. and Gao, J. and Hu, W. and Maybank, Stephen J. (2018) Do not lose the details: reinforced representation learning for high performance visual tracking. In: Lang, J. (ed.) Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence. ISBN 9780999241127.