Publications

Chung, A. . (2020). Highly Efficient Deep Intelligence via Multi-Parent Evolutionary Synthesis of Deep Neural Networks.

Liu, L. ., Ouyang, W. ., Wang, X. ., Fieguth, P. ., Chen, J. ., Liu, X. ., & Pietikäinen, M. . (2020). Deep learning for generic object detection: A survey. International Journal of Computer Vision, 128, 261-318.

Ecclestone, B. R., Bell, K. ., Abbasi, S. ., Dinakaran, D. ., van Landeghem, F. K., Mackey, J. R., Fieguth, P. ., & Reza, P. H. (2020). Improving maximal safe brain tumor resection with photoacoustic remote sensing microscopy. Scientific Reports, 10, 1-7.

Shafiee, M. J., Jeddi, A. ., Nazemi, A. ., Fieguth, P. ., & Wong, A. . (2020). Deep Neural Network Perception Models and Robust Autonomous Driving Systems. ArXiv Preprint arXiv:2003.08756.

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. ., 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.