Shafiee, M. J., Siva, P. ., Scharfenberger, C. ., Fieguth, P. ., & Wong, A. . (2016). Nerd: A neural response divergence approach to visual saliency detection. IEEE Signal Processing Letters, 23, 1404-1408.
Publications
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Liu, L. ., Fieguth, P. ., Wang, X. ., Pietikäinen, M. ., & Hu, D. . (2016). Evaluation of LBP and deep texture descriptors with a new robustness benchmark. European Conference on Computer Vision, 69-86. Springer, Cham.
Liu, C. ., Wong, A. ., Moayed, A. A., Fieguth, P. ., Bie, H. ., & Bizheva, K. . (2016). Automatic tracking of pupillary dynamics from in vivo functional optical coherence tomography images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 4, 306-316.
Shafiee, M. J., Fieguth, P. ., & Wong, A. . (2016). StochasticNet in StochasticNet. Journal of Computational Vision and Imaging Systems, 2.
Liu, L. ., Wang, L. ., Zhao, L. ., & Fieguth, P. . (2016). Random projections and Single BoW for fast and Robust texture segmentation. Information Sciences, 370, 428-445.
Liu, L. ., Fieguth, P. ., Zhao, G. ., Pietikäinen, M. ., & Hu, D. . (2016). Extended local binary patterns for face recognition. Information Sciences, 358, 56-72.
Koch, C. ., Doycheva, K. ., Kasireddy, V. ., Akinci, B. ., & Fieguth, P. . (2016). Corrigendum to "A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure"[Advanced Engineering Informatics 29 (2)(2015) 196-210]. Advanced Engineering Informatics, 30, 208-210.
Gawish, A. . (2015). Multi-resolution Active Models for Image Segmentation.
Shafiee, M. J., Wong, A. ., & Fieguth, P. . (2015). Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields. ArXiv, arXiv-1506.
Kleiber, W. . (2015). Coherence for Random Fields. ArXiv Preprint arXiv:1505.01394.