Publications

Hryniowski, A. ., Azimifar, Z. ., Fieguth, P. ., Wong, A. ., & . (2018). Multi-Projector Content Preservation with Linear Filters. Journal of Computational Vision and Imaging Systems, 4, 3-3.

Nazemi, A. ., Kamyab, S. ., Azimifar, Z. ., & Fieguth, P. . (2018). Human Perception-based Image Enhancement Using a Deep Generative Model. Journal of Computational Vision and Imaging Systems, 4, 3-3.

Liu, L. ., Chen, J. ., Fieguth, P. ., Zhao, G. ., Chellappa, R. ., & Pietikäinen, M. . (2018). A survey of recent advances in texture representation. ArXiv Preprint arXiv:1801.10324, 3.

Ma, A. ., Gawish, A. ., Lamm, M. ., Wong, A. ., & Fieguth, P. . (2018). 63-3: Real-time Spatial-based Projector Resolution Enhancement. SID Symposium Digest of Technical Papers, 49, 831-834.

Hryniowski, A. ., Ben Daya, I. ., Gawish, A. ., Lamm, M. ., Wong, A. ., & Fieguth, P. . (2018). Multi-projector resolution enhancement through biased interpolation. 2018 15th Conference on Computer and Robot Vision (CRV), 190-197. IEEE.

Carrington, A. . (2018). Kernel methods and measures for classification with transparency, interpretability and accuracy in health care.

Hu, X. ., Naiel, M. A., Azimifar, Z. ., Ben Daya, I. ., Lamm, M. ., & Fieguth, P. . (2018). Text enhancement in projected imagery. Journal of Computational Vision and Imaging Systems, 4, 3-3.

Hryniowski, A. . (2018). A Content Enhancement Framework for Multi-Projector Systems.

Chung, A. ., Fieguth, P. ., & Wong, A. . (2018). Nature vs. nurture: The role of environmental resources in evolutionary deep intelligence. 2018 15th Conference on Computer and Robot Vision (CRV), 368-374. IEEE.

Bello-Cerezo, R. ., Fieguth, P. ., & Bianconi, F. . (2018). LBP-motivated colour texture classification. Proceedings of the European Conference on Computer Vision (ECCV), 0-0.