In many image processing, computer vision, and pattern recognition applications, there is often a large degree of uncertainty associated with factors such as the appearance of the underlying scene within the acquired data, the location and trajectory of the object of interest, the physical appearance (e.g., size, shape, color, etc.) of the objects being detected, etc. Given these uncertainties, there can be a wide range of possible outcomes for each of these factors that cannot be accounted for using deterministic approaches in an efficient or effective manner. Stochastic models, on the other hand, allow such uncertainties to be taken into account to provide a more complete picture and a robust representation of the problem at hand. Researchers in the VIP lab are investigating novel approaches for constructing robust, large-scale stochastic models to better tackle image processing and computer vision problems such as image denoising, segmentation, registration, and classification in an robust and efficient manner.
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Aboutalebi H., Shafiee M.J., Tai C.-E.A., and Wong A, "Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Dive", IEEE Access, vol. 12, pp. 48174-48188, 2024. Get it here.
Taleghanidoozdoozan S., Xu L., and Clausi D.A, "Oil Spill Candidate Detection Using a Conditional Random Field Model on Simulated Compact Polarimetric Imagery", Canadian Journal of Remote Sensing, vol. 48, pp. 425-440, 2022. Get it here.
Liu X., Yang X., Wang D., Wong A., Ma L., and Li L, "VidAF: A Motion-Robust Model for Atrial Fibrillation Screening From Facial Videos", IEEE Journal of Biomedical and Health Informatics, vol. 26, pp. 1672-1683, 2022. Get it here.
Yang Y., Butt Z.A., Leatherdale S.T., Morita P.P., Wong A., Rosella L., and Chen H.H, "Exploring the dynamic transitions of polysubstance use patterns among Canadian youth using Latent Markov Models on COMPASS data", The Lancet Regional Health - Americas, vol. 16, 2022. Get it here.
Shafiee M.J., Jeddi A., Nazemi A., Fieguth P., and Wong A, "Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement", IEEE Signal Processing Magazine, vol. 38, pp. 22-30, 2021. Get it here.
Zhong Z., Li J., Clausi D.A., and Wong A, "Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification", IEEE Transactions on Cybernetics, vol. 50, pp. 3318-3329, 2020. Get it here.
Hoekstra M., Jiang M., Clausi D.A., and Duguay C, "Lake ice-water classification of RADARSAT-2 images by integrating IRGS Segmentation with pixel-based random forest labeling", Remote Sensing, vol. 12, 2020. Get it here.
Younes G., Asmar D., and Zelek J, "Robustifying Direct VO to Large Baseline Motions", Communications in Computer and Information Science, vol. 127, pp. 477-496, 2020. Get it here.
Gong Z., Lin H., Zhang D., Luo Z., Zelek J., Chen Y., Nurunnabi A., Wang C., and Li J, "A Frustum-based probabilistic framework for 3D object detection by fusion of LiDAR and camera data", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 127, pp. 90-100, 2020. Get it here.
Fang Y., Xu L., Peng J., Yang H., Wong A., and Clausi D.A, "Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, pp. 3325-3337, 2018. Get it here.
Fani M., Yazdi M., Clausi D.A., and Wong A, "Soccer Video Structure Analysis by Parallel Feature Fusion Network and Hidden-to-Observable Transferring Markov Model", IEEE Access, vol. 5, pp. 27322-27336, 2017. Get it here.
Xu L., Wong A., and Clausi D.A, "A novel Bayesian spatial-temporal random field model applied to cloud detection from remotely sensed imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 55, pp. 4913-4924, 2017. Get it here.
Xu L., Wong A., and Clausi D.A, "An Enhanced Probabilistic Posterior Sampling Approach for Synthesizing SAR Imagery with Sea Ice and Oil Spills", IEEE Geoscience and Remote Sensing Letters, vol. 14, pp. 188-192, 2017. Get it here.
Shafiee M.J., Wong A., and Fieguth P, "Deep Randomly-Connected Conditional Random Fields for Image Segmentation", IEEE Access, vol. 5, pp. 366-378, 2017. Get it here.
Ben Daya I., Chen A.I.H., Shafiee M.J., Wong A., and Yeow J.T.W, "Compensated Row-Column Ultrasound Imaging System Using Multilayered Edge Guided Stochastically Fully Connected Random Fields", Scientific Reports, vol. 7, 2017. Get it here.
Amelard R., Clausi D.A., and Wong A, "Spectral-spatial fusion model for robust blood pulse waveform extraction in photoplethysmographic imaging", Biomedical Optics Express, vol. 7, pp. 4874-4885, 2016. Get it here.
Amelard R., Clausi D.A., and Wong A, "Spatial probabilistic pulsatility model for enhancing photoplethysmographic imaging systems", Journal of Biomedical Optics, vol. 21, 2016. Get it here.
Xu L., Shafiee M.J., Wong A., and Clausi D.A, "Fully Connected Continuous Conditional Random Field with Stochastic Cliques for Dark-Spot Detection in SAR Imagery", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, pp. 2882-2890, 2016. Get it here.
Deglint J., Kazemzadeh F., Cho D., Clausi D.A., and Wong A, "Numerical Demultiplexing of Color Image Sensor Measurements via Non-linear Random Forest Modeling", Scientific Reports, vol. 6, 2016. Get it here.
Xu L., Wong A., Li F., and Clausi D.A, "Extraction of Endmembers from Hyperspectral Images Using A Weighted Fuzzy Purified-Means Clustering Model", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, pp. 695-707, 2016. Get it here.
Liu L., Wang L., Zhao L., and Fieguth P, "Random projections and Single BoW for fast and Robust texture segmentation", Information Sciences, vol. 127, pp. 428-445, 2016. Get it here.
Liu L., Lao S., Fieguth P.W., Guo Y., Wang X., and Pietikainen M, "Median Robust Extended Local Binary Pattern for Texture Classification", IEEE Transactions on Image Processing, vol. 25, pp. 1368-1381, 2016. Get it here.
Medeiros R.S., Scharcanski J., and Wong A, "Image segmentation via multi-scale stochastic regional texture appearance models", Computer Vision and Image Understanding, vol. 127, pp. 23-36, 2016. Get it here.
Boroomand A., Shafiee M.J., Khalvati F., Haider M.A., and Wong A, "Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected ", IEEE Transactions on Medical Imaging, vol. 35, pp. 2587-2597, 2016. Get it here.
Li E., Khalvati F., Shafiee M.J., Haider M.A., and Wong A, "Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields", BMC Medical Imaging, vol. 16, 2016. Get it here.
Haider S.A., Cameron A., Siva P., Lui D., Shafiee M.J., Boroomand A., Haider N., and Wong A, "Fluorescence microscopy image noise reduction using a stochastically-connected random field model", Scientific Reports, vol. 6, 2016. Get it here.
Li E., Shafiee M.J., Kazemzadeh F., and Wong A, "Sparse Reconstruction of Compressive Sensing Multi-Spectral Data Using an Inter-Spectral Multi-Layered Conditional Random Field ", IEEE Access, vol. 4, pp. 5540-5554, 2016. Get it here.
Shafiee M.J., Siva P., and Wong A, "StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity", IEEE Access, vol. 4, pp. 1915-1924, 2016. Get it here.
Li F., Xu L., Wong A., and Clausi D.A, "QMCTLS: Quasi Monte Carlo Texture Likelihood Sampling for Despeckling of Complex Polarimetric SAR Images", IEEE Geoscience and Remote Sensing Letters, vol. 12, pp. 1566-1570, 2015. Get it here.
Li F., Xu L., Siva P., Wong A., and Clausi D.A, "Hyperspectral Image Classification with Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Random", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, pp. 2427-2438, 2015. Get it here.
Xu L., Li F., Wong A., and Clausi D.A, "Hyperspectral Image Denoising Using a Spatial-Spectral Monte Carlo Sampling Approach", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, pp. 3025-3038, 2015. Get it here.
Shafiee M.J., Haider S.A., Wong A., Lui D., Cameron A., Modhafar A., Fieguth P., and Haider M.A, "Apparent ultra-high b-value diffusion-weighted image reconstruction via hidden conditional random fields", IEEE Transactions on Medical Imaging, vol. 34, pp. 1111-1124, 2015. Get it here.
Wong A., Liu C., YuWang X., Fieguth P., and Bie H, "Homotopic non-local regularized reconstruction from sparse positron emission tomography measurements", BMC Medical Imaging, vol. 15, 2015. Get it here.
Liu L., Fieguth P.W., Hu D., Wei Y., and Kuang G, "Fusing sorted random projections for robust texture and material classification", IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, pp. 482-496, 2015. Get it here.
Liu C., Wong A., Bizheva K., Fieguth P., and Bie H, "Homotopic, non-local sparse reconstruction of optical coherence tomography imagery", Optics Express, vol. 20, pp. 10200-10211, 2015. Get it here.
Yousefi M., Famouri M., Nasihatkon B., Azimifar Z., and Fieguth P, "A robust probabilistic Braille recognition system", International Journal on Document Analysis and Recognition, vol. 15, pp. 253-266, 2015. Get it here.
Liu L., and Fieguth P, "Texture classification from random features", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, pp. 574-586, 2015. Get it here.
Azimifar Z., Amiri M., Fieguth P., and Jernigan E, "Empirical study of wavelet domain image joint statistics and proposition of an efficient correlation map", Journal of Mathematical Imaging and Vision, vol. 43, pp. 24-38, 2015. Get it here.
Wong A., Scharcanski J., and Fieguth P, "Automatic skin lesion segmentation via iterative stochastic region merging", IEEE Transactions on Information Technology in Biomedicine, vol. 15, pp. 929-936, 2015. Get it here.
Jin F., Fieguth P., and Winger L, "Wavelet video denoising with regularized multiresolution motion estimation", Eurasip Journal on Applied Signal Processing, vol. 127, pp. 1-11, 2015. Get it here.
Chung A.G., Khalvati F., Shafiee M.J., Haider M.A., and Wong A, "Prostate cancer detection via a quantitative radiomics-driven conditional random field framework", IEEE Access, vol. 3, pp. 2531-2541, 2015. Get it here.
Daya I.B., Chen A.I.H., Shafiee M.J., Wong A., and Yeow J.T.W, "Compensated Row-Column Ultrasound Imaging System Using Fisher Tippett Multilayered Conditional Random Field Model", PLoS ONE, vol. 10, 2015. Get it here.
Lui D., Modhafar A., Haider M.A., and Wong A, "Monte Carlo-based noise compensation in coil intensity corrected endorectal MRI", BMC Medical Imaging, vol. 15, 2015. Get it here.
Shafiee M.J., Azimifar Z., Wong A., and Wang Y, "A deep-structured conditional random field model for object silhouette tracking", PLoS ONE, vol. 10, 2015. Get it here.
Wong A., Shafiee M.J., Siva P., and Wang X.Y, "A deep-structured fully connected random field model for structured inference", IEEE Access, vol. 3, pp. 469-477, 2015. Get it here.
Glaister J., Wong A., and Clausi D.A, "Despeckling of synthetic aperture radar images using monte carlo texture likelihood sampling", IEEE Transactions on Geoscience and Remote Sensing, vol. 52, pp. 1238-1248, 2014. Get it here.
Cho D.S., Wong A., Callaghan J.P., Yates J., and Clausi D.A, "Markov-chain Monte Carlo-based image reconstruction for streak artefact reduction on contrast-enhanced computed tomography", Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, vol. 2, pp. 67-75, 2014. Get it here.
Lui D., Modhafar A., Glaister J., Wong A., and Haider M.A, "Monte Carlo bias field correction in endorectal diffusion imaging", IEEE Transactions on Biomedical Engineering, vol. 61, pp. 368-380, 2014. Get it here.
Xu L., Li J., Wong A., and Peng J, "K-P-means: A clustering algorithm of K 'purified' means for hyperspectral endmember estimation", IEEE Geoscience and Remote Sensing Letters, vol. 11, pp. 1787-1791, 2014. Get it here.
Eichel J.A., Wong A., Fieguth P., and Clausi D.A, "Robust spectral clustering using statistical sub-graph affinity model", PLoS ONE, vol. 8, 2013. Get it here.
Wong A., Mishra A., Fieguth P., and Clausi D.A, "Sparse reconstruction of breast MRI using homotopic L
Liu X., Yang X., Wang D., Wong A., Ma L., and Li L, "VidAF: A Motion-Robust Model for Screening Atrial Fibrillation from Facial Videos", IEEE Journal of Biomedical and Health Informatics, 2022. Get it here. Kumar D., Siva P., Marchwica P., and Wong A, "Unsupervised domain adaptation in person re-ID via k-reciprocal clustering and large-scale heterogeneous environment synthesis", Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020, 2020. Get it here. Jeddi A., Shafiee M.J., Karg M., Scharfenberger C., and Wong A, "Learn2Perturb: An end-to-end feature perturbation learning to improve adversarial robustness", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2020. Get it here. Hu X., Naiel M.A., Wong A., Lamm M., and Fieguth P, "RUNet: A robust UNet architecture for image super-resolution", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Hu X., Naiel M.A., Azimifar Z., Lamm M., and Fieguth P, "Robust Visual Enhancement of Moving Contents in Projected Imagery", Digest of Technical Papers - SID International Symposium, 2019. Get it here. Boroomand A., Tan B., Shafiee M.J., Bizheva K., and Wong A, "A random field computational adaptive optics framework for optical coherence microscopy", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019. Get it here. Daya I.B., Shafiee M.J., Karg M., Scharfenberger C., and Wong A, "SANE: Towards improved prediction robustness via stochastically activated network ensembles", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Daya I.B., Shafiee M.J., Karg M., Scharfenberger C., and Wong A, "SANE: Exploring adversarial robustness with stochastically activated network ensembles", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Ma A., Wong A., and Clausi D.A, "Deep learning-driven depth from defocus via active multispectral quasi-random projections with complex subpatterns", Proceedings - 2018 15th Conference on Computer and Robot Vision, CRV 2018, 2018. Get it here. Roy P., Kuppuswamy Parthasarathy M., Zelek J., and Lakshminarayanan V, "Comparison of Gaussian filter versus wavelet-based denoising on graph-based segmentation of retinal OCT images", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2018. Get it here. Ma A., Wong A., and Clausi D, "Depth from defocus via active quasi-random point projections: A deep learning approach", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017. Get it here. Boroomand A., Tan B., Wong A., and Bizheva K, "A stochastically fully connected conditional random field framework for super resolution OCT", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2017. Get it here. Daya I.B., Chen A.I.H., Shafiee M.J., Wong A., and Yeow J.T.W, "Compensated row-column ultrasound imaging system using three dimensional random fields", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017. Get it here. Zhang J., Baig S., Wong A., Haider M.A., and Khalvati F, "Segmentation of prostate in diffusion MR images via clustering", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017. Get it here. Chwyl B., Chung A.G., Amelard R., Deglint J., Clausi D.A., and Wong A, "SAPPHIRE: Stochastically acquired photoplethysmogram for heart rate inference in realistic environments", Proceedings - International Conference on Image Processing, ICIP, 2016. Get it here. Gawish A., Scharfenberger C., Bi H., Wong A., Fieguth P., and Clausi D, "Robust non-saliency guided watermarking", Proceedings - 2016 13th Conference on Computer and Robot Vision, CRV 2016, 2016. Get it here. Shafiee M.J., Siva P., Fieguth P., and Wong A, "Efficient Deep Feature Learning and Extraction via StochasticNets", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2016. Get it here. Liu L., Fieguth P., Wang X., Pietikainen M., and Hu D, "Evaluation of LBP and deep texture descriptors with a new robustness benchmark", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016. Get it here. Jeya L., and Zelek J, "KinectScenes: Robust real-time RGB-D fusion for animal behavioural monitoring", Proceedings - 2016 13th Conference on Computer and Robot Vision, CRV 2016, 2016. Get it here. Greenberg S., Chung A.G., Chwyl B., and Wong A, "TIGGER: A texture-illumination guided global energy response model for illumination robust object saliency", Proceedings - 2016 13th Conference on Computer and Robot Vision, CRV 2016, 2016. Get it here. Chung A.G., Shafiee M.J., and Wong A, "Image restoration via deep-structured stochastically fully-connected conditional random fields (DSFCRFs) for very low-light cond", Proceedings - 2016 13th Conference on Computer and Robot Vision, CRV 2016, 2016. Get it here. Chung A.G., Shafiee M.J., and Wong A, "Random feature maps via a Layered Random Projection (LARP) framework for object classification", Proceedings - International Conference on Image Processing, ICIP, 2016. Get it here. Chwyl B., Chung A.G., Li F.Y., Wong A., and Clausi D.A, "Tiger: A texture-illumination guided energy response model for illumination robust local saliency", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Chwyl B., Chung A.G., Wong A., and Clausi D.A, "Specular reflectance suppression in endoscopic imagery via stochastic bayesian estimation", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015. Get it here. Xu L., Shafiee M.J., Wong A., Li F., Wang L., and Clausi D, "Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field m", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2015. Get it here. Chwyl B., Wong A., and Clausi D.A, "Illumination robust facial feature detection via decoupled illumination and texture features", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015. Get it here. Deglint J., Kazemzadeh F., Wong A., and Clausi D.A, "Inference of dense spectral reflectance images from sparse reflectance measurement using non-linear regression modeling", Proceedings of SPIE - The International Society for Optical Engineering, 2015. Get it here. Glaister J., Haider S.A., Wong A., and Clausi D.A, "Restoration of block-transform compressed images via homotopic regularized sparse reconstruction", Proceedings of SPIE - The International Society for Optical Engineering, 2015. Get it here. Shafiee M.J., Chung A.G., Wong A., and Fieguth P, "Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Mwangi G., Fieguth P., and Garbe C.S, "Probabilistic continuous edge detection using local symmetry", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Gawish A., and Fieguth P, "External forces for active contours using the undecimated wavelet transform", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Shafiee M.J., Wong A., Siva P., and Fieguth P, "Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques", 2014 IEEE International Conference on Image Processing, ICIP 2014, 2015. Get it here. Liu L., Fieguth P., Kuang G., and Zha H, "Sorted random projections for robust texture classification", Proceedings of the IEEE International Conference on Computer Vision, 2015. Get it here. Liu L., Fieguth P., and Kuang G, "Combining sorted random features for texture classification", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Shafiee M.J., Azimifar Z., Wong A., and Fieguth P, "A novel hierarchical model-based frame rate up-conversion via spatio-temporal conditional random fields", Proceedings - 2011 IEEE InternationalSymposium on Multimedia, ISM 2011, 2015. Get it here. Liu L., Fieguth P., and Kuang G, "Compressed sensing for robust texture classification", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015. Get it here. Shafiee M.J., Azimifar Z., and Fieguth P, "Temporal conditional random fields: A conditional state space predictor for visual tracking", 2010 6th Iranian Conference on Machine Vision and Image Processing, MVIP 2010, 2015. Get it here. Shafiee M.J., Azimifar Z., and Fieguth P, "Model-based tracking: Temporal conditional random fields", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Ahmadi E., Azimifar Z., Fieguth P., and Ayatollahi Sh, "Image synthesis using conditional random fields", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Liu Y., Mohebi A., and Fieguth P, "Modeling of multiscale porous media using multiple Markov random fields", Poromechanics IV - 4th Biot Conference on Poromechanics, 2015. Get it here. Babadi M.Y., Nasihatkon B., Azimifar Z., and Fieguth P, "Probabilistic estimation of braille document parameters", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Amiri M., Azimifar Z., and Fieguth P, "Correlated non-linear wavelet shrinkage", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Wesolkowski S., and Fieguth P, "A probabilistic shading invariant color distance measure", European Signal Processing Conference, 2015. Get it here. Kachouie N.N., and Fieguth P, "A combined BayesShrink Wavelet-Ridgelet technique for image denoising", 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings, 2015. Get it here. Fieguth P., and Zhang J, "Random Field Models", Handbook of Image and Video Processing, Second Edition, 2015. Get it here. Azimifar Z., Fieguth P., and Jernigan E, "Correlated wavelet shrinkage: Models of local random fields across multiple resolutions", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Kachouie N.N., and Fieguth P, "A narrow-band level-set method with dynamic velocity for neural stem cell cluster segmentation", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015. Get it here. Kachouie N.N., Lee L.J., and Fieguth P, "A probabilistic living cell segmentation model", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Jin F., Fieguth P., and Winger L, "Image denoising using complex wavelets and Markov prior models", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015. Get it here. Li F.Y., Shafiee M.J., Chung A.G., Chwyl B., Kazemzadeh F., Wong A., and Zelek J, "High dynamic range map estimation via fully connected random fields with stochastic cliques", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Li F., Li E., Shafiee M.J., Wong A., and Zelek J, "Dense Depth Map Reconstruction from Sparse Measurements Using a Multilayer Conditional Random Field Model", Proceedings -2015 12th Conference on Computer and Robot Vision, CRV 2015, 2015. Get it here. Haider S.A., Shafiee M.J., Chung A., Khalvati F., Oikonomou A., Wong A., and Haider M.A, "Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields", Proceedings - International Symposium on Biomedical Imaging, 2015. Get it here. Vasquez D., Scharcanski J., and Wong A, "Stochastic color image segmentation using spatial constraints", Conference Record - IEEE Instrumentation and Measurement Technology Conference, 2015. Get it here. Siva P., Shafiee M.J., Li F., and Wong A, "PIRM: Fast background subtraction under sudden, local illumination changes via probabilistic illumination range modelling", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Adel T., and Wong A, "A probabilistic covariate shift assumption for domain adaptation", Proceedings of the National Conference on Artificial Intelligence, 2015. Get it here. Li E., Shafiee M.J., Kazemzadeh F., and Wong A, "Sparse reconstruction of compressed sensing multispectral data using a cross-spectral multilayered conditional random field mode", Proceedings of SPIE - The International Society for Optical Engineering, 2015. Get it here. Cho D.S., Haider S., Amelard R., Wong A., and Clausi D, "Physiological characterization of skin lesion using non-linear random forest regression model", 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, 2014. Get it here. Kazemzadeh F., Shafiee M.J., Wong A., and Clausi D.A, "Reconstruction of compressive multispectral sensing data using a multilayered conditional random field approach", Proceedings of SPIE - The International Society for Optical Engineering, 2014. Get it here. Siva P., and Wong A, "URC: Unsupervised regional clustering of remote sensing imagery", International Geoscience and Remote Sensing Symposium (IGARSS), 2014. Get it here. Amelard R., Wong A., and Clausi D.A, "Unsupervised classification of agricultural land cover using polarimetric synthetic aperture radar via a sparse texture dictiona", International Geoscience and Remote Sensing Symposium (IGARSS), 2013. Get it here. Wang G., Zelek J.S., and Wu Q.M.J, "Robust structure from motion of nonrigid objects in the presence of outlying and missing data", Proceedings - 2013 International Conference on Computer and Robot Vision, CRV 2013, 2013. Get it here. Wang G., Zelek J.S., Wu Q.M.J., and Bajcsy R, "Robust rank-4 affine factorization for structure from motion", Proceedings of IEEE Workshop on Applications of Computer Vision, 2013. Get it here. Ng S., Fakih A., Fourney A., Poupart P., and Zelek J, "Probabilistic 3D tracking: rollator users' leg pose from coronal images", Proceedings of the 2009 Canadian Conference on Computer and Robot Vision, CRV 2009, 2013. Get it here. Ersi E.F., and Zelek J, "Robust human skin detection in complex environments", VISAPP 2006 - Proceedings of the 1st International Conference on Computer Vision Theory and Applications, 2013. Get it here. Hajebi K., and Zelek J.S, "Sparse disparity map from uncalibrated infrared stereo images", Third Canadian Conference on Computer and Robot Vision, CRV 2006, 2013. Get it here. Ersi E.F., and Zelek J.S, "Rotation-invariant facial feature detection using gabor wavelet and entropy", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013. Get it here. Medeiros R.S., Scharcanski J., and Wong A, "Multi-scale stochastic color texture models for skin region segmentation and gesture detection", Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013, 2013. Get it here. Medeiros R.S., Scharcanski J., and Wong A, "Natural scene segmentation based on a stochastic texture region merging approach", ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2013. Get it here. Scharfenberger C., Zelek J., and Clausi D, "Robust body-height estimation for applications in automotive industry", Proceedings of the 2012 9th Conference on Computer and Robot Vision, CRV 2012, 2012. Get it here. Mishra A., Wong A., Fieguth P., and Clausi D.A, "Multi-scale 3D representation via volumetric quasi-random scale space", Proceedings - International Conference on Image Processing, ICIP, 2011. Get it here. Wong A., Mishra A., Clausi D.A., and Fieguth P, "Quasi-random scale space approach to robust keypoint extraction in high-noise environments", CRV 2010 - 7th Canadian Conference on Computer and Robot Vision, 2010. Get it here. Wang X.Y., Wong A., and Ho P.-H, "Dynamic Markov-Chain Monte Carlo channel negotiation for cognitive radio", Proceedings - IEEE INFOCOM, 2010. Get it here. Shabani H., Clausi D.A., and Zelek J.S, "Towards a robust spatio-temporal interest point detection for human action recognition", Proceedings of the 2009 Canadian Conference on Computer and Robot Vision, CRV 2009, 2009. Get it here. Zhang W., Wong A., and Clausi D.A, "JEDI: Adaptive stochastic estimation for joint enhancement and despeckling of images for SAR", Proceedings of the 2009 Canadian Conference on Computer and Robot Vision, CRV 2009, 2009. Get it here. Wong A., Clausi D.A., and Fieguth P, "SEC: Stochastic ensemble consensus approach to unsupervised sar sea-ice segmentation", Proceedings of the 2009 Canadian Conference on Computer and Robot Vision, CRV 2009, 2009. Get it here. Wong A., Clausi D.A., and Fieguth P, "Adaptive monte carlo retinex method for illumination and reflectance separation and color image enhancement", Proceedings of the 2009 Canadian Conference on Computer and Robot Vision, CRV 2009, 2009. Get it here. Zaboli S., and Clausi D.A, "Video pause detection using wavelets", Proceedings of the 2009 Canadian Conference on Computer and Robot Vision, CRV 2009, 2009. Get it here. Mishra A.K., Fieguth P.W., and Clausi D.A, "A Robust Modular Wavelet Network Based Symbol Classifier", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2009. Get it here. Wang X., Wong A., and Ho P.-H, "Stochastic channel prioritization for spectrum sensing in cooperative cognitive radio", 2009 6th IEEE Consumer Communications and Networking Conference,, 2009. Get it here. Mishra A.K., Fieguth P., and Clausi D.A, "Robust snake convergence based on dynamic programming", Proceedings - International Conference on Image Processing, ICIP, 2008. Get it here. Wong A., and Clausi D, "Automatic registration of inter-band and inter-sensor images using robust complex wavelet feature representations", 2008 IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2008, 2008. Get it here. Wong A., Clausi D., and Fieguth P, "Phase-adaptive image signal fusion using complex-valued wavelets", Proceedings - International Conference on Pattern Recognition, 2008. Get it here. Wong A., Mishra A., Fieguth P., and Clausi D, "An adaptive Monte Carlo approach to nonlinear image denoising", Proceedings - International Conference on Pattern Recognition, 2008. Get it here. Wong A., Mishra A., Fieguth P., Clausi D., Dunk N.M., and Callaghan J.P, "Shape-guided active contour based segmentation and tracking of lumbar vertebrae in video fluoroscopy using complex wavelets", Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology", 2008. Get it here. Wong A., and Bishop W, "Robust edge detection based on non-local contribution of local frequency characteristics", Proceedings - 10th IEEE International Symposium on Multimedia, ISM 2008, 2008. Get it here. Wong A., and Bishop W, "Efficient and robust approach to simultaneous non-rigid registration and gamma estimation in the frequency domain", Proceedings of the 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008, 2008. Get it here. Wong A., and Bishop W, "Robust Hough-based symbol recognition using knowledge-based hierarchical neural networks", Proceedings of the 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008, 2008. Get it here. Wong A., and Bishop W, "Robust invariant descriptor for symbol-based image recognition and retrieval", ICSC 2007 International Conference on Semantic Computing, 2007. Get it here. Wong A., and Orchard J, "Efficient and robust non-rigid least-squares rectification of medical images", Proceedings of the 2006 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV'06, 2006. Get it here. Jobanputra R., and Clausi D.A, "Texture analysis using Gaussian weighted grey level co-occurrence probabilities", Proceedings - 1st Canadian Conference on Computer and Robot Vision, 2004. Get it here. Clausi D.A., and Yue B, "Texture segmentation comparison using grey level Co-occurrence probabilities and Markov random fields", Proceedings - International Conference on Pattern Recognition, 2004. Get it here. Alajlan N., Fieguth P., and Kamel M, "Robust shape retrieval using maximum likelihood theory", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004. Get it here. Jin F., Fieguth P., and Winger L, "Motion-compensated wavelet video denoising", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004. Get it here. Azimifar Z., Fieguth P., and Jernigan E, "Textures and wavelet-domain joint statistics", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004. Get it here. Weolkowski S., and Fieguth P, "A probabilistic framework for image segmentation", IEEE International Conference on Image Processing, 2003. Get it here. Alexander S.K., Fieguth P., and Vrscay E.R, "Hierarchical annealing for random image synthesis", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2003. Get it here. Azimifar Z., Fieguth P., and Jernigan E, "Hierarchical Markov models for wavelet-domain statistics", IEEE Workshop on Statistical Signal Processing Proceedings, 2003. Get it here. Clausi D.A., and Zhao Y, "An advanced computational method to determine co-occurrence probability texture features", International Geoscience and Remote Sensing Symposium (IGARSS), 2002. Get it here. Azimifar Z., Fieguth P., and Jernigan E, "Hierarchical multiscale modeling of wavelet-based correlations", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2002. Get it here. Wesolkowski S., and Fieguth P, "Adaptive color image segmentation using markov random fields", IEEE International Conference on Image Processing, 2002. Get it here. Azimifar Z., Fieguth P., and Jernigan E, "Towards random field modeling of wavelet statistics", IEEE International Conference on Image Processing, 2002. Get it here. Mehta V.K., Hammock C.M., Fieguth P.W., and Krim H, "Data fusion of SSM/I channels using multiresolution wavelet transform", International Geoscience and Remote Sensing Symposium (IGARSS), 2002. Get it here. Wesolkowski S., and Fieguth P, "A Markov random fields model for hybrid edge- and region-based color image segmentation", Canadian Conference on Electrical and Computer Engineering, 2002. Get it here. Yue B., and Clausi D.A, "Sea ice segmentation using Markov random fields", International Geoscience and Remote Sensing Symposium (IGARSS), 2001. Get it here. Azimifar Z., Fieguth P., and Jernigan E, "Modeling the correlation structure of images in the wavelet domain", Canadian Conference on Electrical and Computer Engineering, 2001. Get it here. Jin F., Khellah F.M., Fieguth P.W., and Winger L, "Motion estimation of sparse, remotely-sensed fields", Canadian Conference on Electrical and Computer Engineering, 2001. Get it here. Azimifar Z., Fieguth P., and Jernigan E, "Wavelet shrinkage with correlated wavelet coefficients", IEEE International Conference on Image Processing, 2001. Get it here. Ho Terrence T., Fieguth Paul W., and Willsky Alan S, "Recursive multiscale estimation of space-time random fields", IEEE International Conference on Image Processing, 1999. Get it here. Ho Terrence T., Fieguth Paul W., and Willsky Alan S, "Multiresolution stochastic models for the efficient solution of large-scale space-time estimation problems", ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1996. Get it here. Fieguth P.W., Willsky A.S., and Karl W.C, "Multiresolution stochastic imaging of satellite oceanographic altimetric data", Proceedings - International Conference on Image Processing, ICIP, 1994. Get it here. Bright J., Chen Y., and Zelek J, "Mitigating Motion Blur for Robust 3D Baseball Player Pose Modeling for Pitch Analysis", MMSports 2023 - Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, Co-located with: MM 2023, . Get it here.