Reference author: Mohammad Shafiee

First name

Mohammad

Middle name

Javad

Last name

Shafiee

Shafiee, M. J., Azimifar, Z. ., & Fieguth, P. . (2013). How Conditional Random Fields Learn Dynamics: An Example-Based Study. Computer Communication & Collaboration.

Shafiee, M. J., Wong, A. ., & Fieguth, P. . (2015). Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields. ArXiv, arXiv-1506.

Shafiee, M. J., Wong, A. ., & Fieguth, P. . (2015). Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields. ArXiv Preprint arXiv:1506.09110.

Shafiee, M. J., Chung, A. G., Wong, A. ., & Fieguth, P. . (2015). Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields. 2015 IEEE International Conference on Image Processing (ICIP), 3260-3264. IEEE.

Shafiee, M. J., Haider, S. A., Wong, A. ., Lui, D. ., Cameron, A. ., Modhafar, A. ., Fieguth, P. ., & Haider, M. A. (2014). Apparent Ultra-High $ b $-Value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields. IEEE Transactions on Medical Imaging, 34, 1111-1124.

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.

Shafiee, M. J., Wong, A. ., & Fieguth, P. . (2016). Deep randomly-connected conditional random fields for image segmentation. IEEE Access, 5, 366-378.

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., Siva, P. ., Fieguth, P. ., & Wong, A. . (2016). Embedded motion detection via neural response mixture background modeling. 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 837-844. IEEE.

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.