Publications

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. ., Naiel, M. A., Wong, A. ., Lamm, M. ., & Fieguth, P. . (2019). RUNet: A Robust UNet Architecture for Image Super-Resolution. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 0-0.

Liu, L. ., Chen, J. ., Fieguth, P. ., Zhao, G. ., Chellappa, R. ., & Pietikäinen, M. . (2019). From BoW to CNN: Two decades of texture representation for texture classification. International Journal of Computer Vision, 127, 74-109.

Goetz, J. ., Fieguth, P. ., Kasiri, K. ., Bodin, X. ., Marcer, M. ., & Brenning, A. . (2019). Accounting for permafrost creep in high-resolution snow depth mapping by modelling sub-snow ground deformation. Remote Sensing of Environment, 231, 111275.

Pellegrino, N. ., Naiel, M. A., Lamm, M. ., & Fieguth, P. . (2019). Sensitivity Assessment for Projector Camera Geometry Reconstruction Systems. Journal of Computational Vision and Imaging Systems, 5, 1-1.

Chung, A. ., Fieguth, P. ., & Wong, A. . (2018). Mitigating architectural mismatch during the evolutionary synthesis of deep neural networks. ArXiv Preprint arXiv:1811.07966.

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.

Ma, B. ., Gawish, A. ., Wong, A. ., Fieguth, P. ., & Lamm, M. . (2018). Real-time spatial-based resolution enhancement using shifted superposition.