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.
References
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2018
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.
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.