Shafiee, M. J., Siva, P., Scharfenberger, C., Fieguth, P., & Wong, A. (2016). Nerd: A neural response divergence approach to visual saliency detection IEEE Signal Processing Letters, 23, 1404-1408.
Reference author: Paul Fieguth
First name
Paul
Last name
Fieguth
Liu, L., Wang, L., Zhao, L., & Fieguth, P. (2016). Random projections and Single BoW for fast and Robust texture segmentation Information Sciences, 370, 428-445.
Gawish, A., Scharfenberger, C., Bi, H., Wong, A., Fieguth, P., & Clausi, D. (2016). Robust Non-saliency guided watermarking 2016 13th Conference on Computer and Robot Vision (CRV), 32-36. IEEE.
Kasiri, K., Fieguth, P., & Clausi, D. A. (2016). Self-similarity measure for multi-modal image registration 2016 IEEE International Conference on Image Processing (ICIP), 4498-4502. IEEE.
Shafiee, M. J., Siva, P., Fieguth, P., & Wong, A. (2016). Efficient deep feature learning and extraction via StochasticNets Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 28-36.
Shafiee, M. J., Wong, A., & Fieguth, P. (2016). Deep randomly-connected conditional random fields for image segmentation IEEE Access, 5, 366-378.
Koch, C., Doycheva, K., Kasireddy, V., Akinci, B., & Fieguth, P. (2016). Corrigendum to "A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure"[Advanced Engineering Informatics 29 (2)(2015) 196-210] Advanced Engineering Informatics, 30, 208-210.
Fieguth, P. (2017). An Introduction to Complex Systems Springer.
Liu, L., Fieguth, P., Guo, Y., Wang, X., & Pietikäinen, M. (2017). Local binary features for texture classification: Taxonomy and experimental study Pattern Recognition, 62, 135-160.
Chung, A. G., Shafiee, M. J., Fieguth, P., & Wong, A. (2017). The mating rituals of deep neural networks: Learning compact feature representations through sexual evolutionary synthesis Proceedings of the IEEE International Conference on Computer Vision Workshops, 1220-1227.