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.
References
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Sankar, V., Fieguth, P., & Lamm, M. (2019). P-35: Human Visual System Inspired Artifact Reduction in Projector Compensation SID Symposium Digest of Technical Papers, 50, 1366-1369.
Liu, J., Scott, K. A., & Fieguth, P. W. (2019). Detection of marginal ice zone in Synthetic Aperture Radar imagery using curvelet-based features: a case study on the Canadian East Coast Journal of Applied Remote Sensing, 13, 014505.
Hu, X., Naiel, M. A., Azimifar, Z., Lamm, M., & Fieguth, P. (2019). P-59: Robust Visual Enhancement of Moving Contents in Projected Imagery SID Symposium Digest of Technical Papers, 50, 1456-1459.
Kennedy, I. (2019). Distance Measures for Probabilistic Patterns
Nazemi, A., & Fieguth, P. (2019). Potential adversarial samples for white-box attacks ArXiv Preprint ArXiv:1912.06409.
Post, M., Fieguth, P., Naiel, M. A., Azimifar, Z., & Lamm, M. (2019). FRESCO: Fast Radiometric Egocentric Screen Compensation Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 0-0.
Hu, X., Chung, A. G., Fieguth, P., Khalvati, F., Haider, M. A., & Wong, A. (2018). Prostategan: Mitigating data bias via prostate diffusion imaging synthesis with generative adversarial networks ArXiv Preprint ArXiv:1811.05817.
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.
Saffih, F., & Fieguth, P. (2018). Vehicle Longitudinal Acceleration Determination from Mobile Phone Sensor: An IoT System Solution for Intelligent Transportation 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 706-710. IEEE.