Liu, L., Chen, J., Zhao, G., Fieguth, P., Chen, X., & Pietikäinen, M. (2019). Texture classification in extreme scale variations using GANet IEEE Transactions on Image Processing, 28, 3910-3922.
Reference author: Paul Fieguth
First name
Paul
Last name
Fieguth
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.
Haines, L., Kralj, O., Marschall, S., Gawish, A., Fieguth, P., … Singal, N. (2018). Effect of age and pre-operative corneal topography on epithelial thickness changes after corneal crosslinking and intrastromal corneal ring segment implantation. Investigative Ophthalmology & Visual Science, 59, 1338-1338.
Post, M., Fieguth, P., Naiel, M. A., Azimifar, Z., & Lamm, M. (2018). Fast radiometric compensation for nonlinear projectors 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.
Bello-Cerezo, R., Fieguth, P., & Bianconi, F. (2018). LBP-motivated colour texture classification Proceedings of the European Conference on Computer Vision (ECCV), 0-0.
Carrington, A., Fieguth, P., & Chen, H. (2018). Measures of model interpretability for model selection International Cross-Domain Conference for Machine Learning and Knowledge Extraction, 329-349. Springer, Cham.
Chung, A., Fieguth, P., & Wong, A. (2018). Mitigating architectural mismatch during the evolutionary synthesis of deep neural networks ArXiv Preprint ArXiv:1811.07966.
Fieguth, P. (2022). An Introduction to Pattern Recognition and Machine Learning Springer.