M. Javad Shafiee

Ph.D. Candidate

Short biography

M. Javad ShafieeI am post doctoral research fellow in the Department of Systems Design Engineering at University of Waterloo under the supervision of Prof. Alexander Wong and Prof. Paul Fieguth. I received my Bachelor’s degree in Computer Science and Engineering from Shiraz University in Iran, 2008 and my master degree in Artificial Intelligent 2011. My thesis was focused on A Novel Conditional Random Field Framework For Object Tracking supervised by Prof. Zohreh Azimifar.

My PhD thesis topic is about introducing an efficient Bayesian inference with Stochastic Cliques for fully connected conditional random Fields.

Supervisors

Alexander WongPaul Fieguth

Research interests

My research interests include Computer Vision, Machine Learning and Biomedical Image Processing which my main focus is on Graphical Models specially Conditional Random Fields and Markov Random Fields.

Research topics

Biomedical Imaging

Computer Vision

Image Segmentation/Classification

Stochastic Models

Video Analysis

Publications

Journal articles

Haider, S.A. CameronP. SivaD. LuiM. J. ShafieeA. Boroomand, N. Haider, and A. Wong, "Fluorescence microscopy image noise reduction using a stochastically-connected random field model", Nature Scientific Reports, Submitted. Details

Shafiee, M. J.S. HaiderA. WongD. LuiA. Cameron, A. Modhafar, P. Fieguth, and M. A. Haider, "Apparent Ultra-High b-value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields", TRANSACTIONS ON MEDICAL IMAGING, vol. 34, no. 5: IEEE, 2015. Details

Shafiee, M. J.Z. Azimifar, and P. Fieguth, "How Conditional Random Fields Learn Dynamics: An Example-Based Studypdf", Computer Communication & Collaboration, vol. 1, no. 1, 2013. Details

Wong, A.M. J. Shafiee, and Z. Azimifar, "Statistical Conditional Sampling for Variable-Resolution Video Compression",Public Library of Science ONE, 2012. Details

Conference papers

Wang, L.A. WongD. A. Clausi, A. K. Scott, L. XuM. J. Shafiee, and F. Li, "Sea ice concentration estimation from satellite SAR imagery using convolutional neural network and stochastic fully connected connected conditional random fieldpdf",CVPR 2015 Earthvision Workshop, Submitted. Details

Li, E.M. J. ShafieeF. Kazemzadeh, and A. Wong, "Sparse Reconstruction of Compressed Sensing Multi-spectral Data using Cross-Spectral Multi-layered Conditional Random Field Modelpdf", SPIE optics and photonics 2015, San Diego, SPIE , May, Accepted. Details

Li, F.E. LiM. J. ShafieeA. Wong, and J. S. Zelek, "Dense Depth Map Reconstruction from Sparse Measurements Using a Multilayer Conditional Random Field Modelpdf", Computer and Robot Vision, March, Accepted. Details

Xu, L.M. J. ShafieeA. WongF. LiL. Wang, and D. A. Clausi, "Oil Spill Candidate Detection from SAR Imagery Using a Thresholding-Guided Stochastic Fully-Connected Conditional Random Field Modelpdf", CVPR 2015 Earthvision Workshop, Accepted. Details

Shafiee, M. J.A. ChungA. Wong, and P. Fieguth, "IMPROVED FINE STRUCTURE MODELING VIA GUIDED STOCHASTIC CLIQUE FORMATION IN FULLY CONNECTED CONDITIONAL RANDOM FIELDSpdf", IEEE Conference on Image Processing, Accepted. Details

Li, F.M. J. ShafieeA. ChungB. ChwylF. KazemzadehA. Wong, and J. S. Zelek, "HIGH DYNAMIC RANGE MAP ESTIMATION VIA FULLY CONNECTED RANDOM FIELDS WITH STOCHASTIC CLIQUESpdf", International Conference on Image Processing, April, Accepted. Details

Deglint, J.F. KazemzadehM. J. ShafieeE. Li, I. Khodadad, S. S. Saini, A. Wong, and D. A. Clausi, "Virtual spectral multiplexing for applications in in-situ imaging microscopy of transient phenomena ", SPIE Optics and Photonics, Applications of Digital Image Processing XXXVIII, August, 2015. Details

Boroomand, A.M. J. ShafieeA. Wong, and K. Bizheva, "Lateral resolution enhancement via imbricated spectral domain optical coherence tomography in a maximum-a-posterior reconstruction framework", SPIE Photonics West (BiOS), San Francisco, USA, 2015. Details

Cameron, A., A. Modhafar, F. Khalvati, D. LuiM. J. ShafieeA. Wong, and M. Haider, "Multiparametric MRI Prostate Cancer Analysis via a Hybrid Morphological-Textural Model", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014. Details

Shafiee, M. J.A. WongP. Siva, and P. Fieguth, "EFFICIENT BAYESIAN INFERENCE USING FULLY CONNECTED CONDITIONAL RANDOM FIELDS WITH STOCHASTIC CLIQUESpdf", International Conference on Image Processing, IEEE , 2014. Details

Li, E.M. J. ShafieeA. Chung, F. Khalvati, A. Wong, and M. A. Haider, "Enhanced Reconstruction of Compressive Sensing MRI via Cross-Domain Stochastically Fully-Connected Random Field Modelpdf", International Society for Magnetic Resonance in Medicine, February, 2014. Details

Kazemzadeh, F.M. J. Shafiee, A. Wong, and D. A. Clausi, "Reconstruction of Compressive Multispectral Sensing Data Using a Multi-layered Conditional Random Field Approach", SPIE: Optics + Photonics, vol. 9217, San diego, USA, SPIE Proceedings, 2014. Details

Shafiee, M. J.A. Wong, and Z. Azimifar, "A Novel Hierarchical Model-Based Frame Rate Up-Conversion via Spatio-temporal Conditional Random Fields", IEEE International Symposium of Multimedia , 2012. Details

Shafiee, M. J.Z. Azimifar, and P. Fieguth, "Model-based tracking: Temporal conditional random fieldspdf", 17th IEEE International Conference on Image Processing (ICIP), pp. 4645 -4648, 2010. Details

Affiliation: 
University of Waterloo

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