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Sabri, M., and P. Fieguth, "A new Gabor filter based kernel for texture classification with SVM", 2004 International Conference on Image Analysis and Recognition, Portugal, 2004. PDF icon a_new_gabor_filter_based_kernel_for_texture_classification_with_svm.pdf (404.28 KB)
Sabri, M., and P. Fieguth, "A New Gabor Filter Based Kernel for Texture Classification with SVM", International Conference Image Analysis and Recognition: Springer, Berlin, Heidelberg, pp. 314–322, 2004.
Sachett~Medeiros, R., J. Scharcanski, and A. Wong, "Skin Detection for Hand Gesture Segmentation using Multi-scale Stochastic Color Texture Models", IEEE International Conference on Multimedia and Expo, 2013.
Saeed, S., L. Wong, C. Cooper, A. Wong, L. Barrett, J. Cohen, B. Conway, P. Cote, J. Cox, MJ. Gill, et al., "Is hepatitis C elimination possible among HIV-infected population in Canada?", JOURNAL OF VIRAL HEPATITIS, vol. 25: WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, pp. 10–11, 2018.
Saeed, S., E. Strumpf, E. E. M. Moodie, L. Wong, J. Cox, S. Walmsley, M. Tyndall, C. Cooper, B. Conway, M. Hull, et al., "Eliminating structural barriers: the impact of unrestricted access on hepatitis C treatment uptake among people living with human immunodeficiency virus", Clinical Infectious Diseases, vol. 71, no. 2: Oxford University Press US, pp. 363–371, 2020.
Saeed, S., E. Strumpf, S. Walmsley, C. Cooper, B. Conway, V. Laferriere, N. Pick, A. Wong, and MB. Klein, "A163 DIRECT ACTING ANTIVIRAL UPTAKE DISPARITIES IN HIV-HEPATITIS C CO-INFECTED POPULATIONS IN CANADA", Journal of the Canadian Association of Gastroenterology, vol. 1, no. suppl_1: Oxford University Press US, pp. 282–283, 2018.
Saeed, S., E. E. M. Moodie, E. Strumpf, J. Gill, A. Wong, C. Cooper, S. Walmsley, M. Hull, V. Martel-Laferriere, M. B. Klein, et al., "Real-world impact of direct acting antiviral therapy on health-related quality of life in HIV/Hepatitis C co-infected individuals", Journal of viral hepatitis, vol. 25, no. 12, pp. 1507–1514, 2018.
Saeed, S., E. C. Strumpf, E. E. M. Moodie, J. Young, R. Nitulescu, J. Cox, A. Wong, S. Walmsely, C. Cooper, M-L. Vachon, et al., "Disparities in direct acting antivirals uptake in HIV-hepatitis C co-infected populations in Canada", Journal of the International AIDS Society, vol. 20, no. 3, pp. e25013, 2017.
Saffih, F., and P. Fieguth, "Vehicle Longitudinal Acceleration Determination from Mobile Phone Sensor: An IoT System Solution for Intelligent Transportation", 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT): IEEE, pp. 706–710, 2018.
Salah, M. B., I. B. Ayed, J. Yuan, Z. Wang, and H. Zhang, "Convex Relaxation for Image Segmentation by Kernel Mapping", ICIP, 2012.
Sankar, V., P. Fieguth, and M. Lamm, "P-35: Human Visual System Inspired Artifact Reduction in Projector Compensation", SID Symposium Digest of Technical Papers, vol. 50, no. 1, pp. 1366–1369, 2019.
Sankar, V., D. Kumar, D. A. Clausi, G. W. Taylor, and A. Wong, "Sisc: End-to-end interpretable discovery radiomics-driven lung cancer prediction via stacked interpretable sequencing cells", arXiv preprint arXiv:1901.04641, 2019.
Sankar, V., A. Gawish, P. Fieguth, and M. Lamm, "Understanding Blur and Model Learning in Projector Compensation", Journal of Computational Vision and Imaging Systems, vol. 4, no. 1, pp. 3–3, 2018.
Sankar, V., A. Gawish, and P. Fieguth, "Impact of training images on radiometric compensation", Journal of Computational Vision and Imaging Systems, vol. 3, no. 1, 2017.
Scharcanski, J., L. Silva Da Silva, D. Koff, and A. Wong, "Interactive modeling and evaluation of tumor growth", Journal of digital imaging, vol. 23, no. 6: Springer-Verlag, pp. 755–768, 2010.
Scharfenberger, C., D. Lui, F. Khalvati, A. Wong, and M. A. Haider, "Semi-Automatic Prostate Segmentation via a Hidden Markov Model with Anatomical and Textural Priors", 23rd Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM), 06/2015. PDF icon ismrm2015_semiautoseg_0.pdf (265.69 KB)
Scharfenberger, C., A. Jain, A. Wong, and P. Fieguth, "Image saliency detection via multi-scale statistical non-redundancy modeling", IEEE Conference on Image Processing, 2014. PDF icon 2014icip_msnr.pdf (2.13 MB)
Scharfenberger, C., A. Jain, A. Wong, and P. Fieguth, "Image saliency detection via multi-scale statistical non-redundancy modeling", 2014 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 4294–4298, 2014.
Scharfenberger, C., S. L. Waslander, J. S. Zelek, and D. A. Clausi, "Existence Detection of Objects in Images for Robot Vision Using Saliency Histogram Features", 10th Conference on Computer and Robot Vision, 05/2013.
Scharfenberger, C., S. L. Waslander, J. S. Zelek, and D. A. Clausi, "Existence detection of objects in images for robot vision using saliency histogram features", 2013 International Conference on Computer and Robot Vision: IEEE, pp. 75–82, 2013.
Scharfenberger, C., A. Wong, K. Fergani, J. S. Zelek, and D. A. Clausi, "Statistical Textural Distinctiveness for Salient Region Detection in Natural Images", Conference on Computer Vision and Pattern Recognition (CVPR), 06/2013.
Scharfenberger, C., A. Wong, K. Fergani, J. S. Zelek, and D. A. Clausi, "Statistical textural distinctiveness for salient region detection in natural images", Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 979–986, 2013.
Scharfenberger, C., S. Chakraborty, J. S. Zelek, and D. A. Clausi, "Anti-Trap Protection for an Intelligent Smart Car Door System", Conference on Intelligent Transportation Systems, 09/2012.
Scharfenberger, C., S. Chakraborty, J. Zelek, and D. Clausi, "Anti-trap protection for an intelligent smart car door system", 2012 15th International IEEE Conference on Intelligent Transportation Systems: IEEE, pp. 1734–1740, 2012.
Scharfenberger, C., S. Chakraborty, J. S. Zelek, and D. A. Clausi, "Motion Stereo-based Collision Avoidance for an Intelligent Smart Car Door System", Conference on Intelligent Transportation Systems, 09/2012.
Scharfenberger, C., S. Chakraborty, J. Zelek, and D. Clausi, "Motion stereo-based collision avoidance for an intelligent smart car door system", 2012 15th International IEEE Conference on Intelligent Transportation Systems: IEEE, pp. 1383–1389, 2012.
Scharfenberger, C., J. S. Zelek, and D. A. Clausi, "Robust Body-Height Estimation for Applications in Automotive Industry", 9th Conference on Computer and Robot Vision, 05/2012.
Scharfenberger, C., J. Zelek, and D. Clausi, "Robust body-height estimation for applications in automotive industry", 2012 Ninth Conference on Computer and Robot Vision: IEEE, pp. 174–181, 2012.
Scharfenberger, C., A. Chung, A. Wong, and D. A. Clausi, "Salient Region Detection Using Self-Guided Statistical Non-Redundancy in Natural Images", IEEE Access, vol. 4, pp. 48-60, 2016.
Scharfenberger, C., A. G. Chung, A. Wong, and D. A. Clausi, "Salient region detection using self-guided statistical non-redundancy in natural images", IEEE Access, vol. 4: IEEE, pp. 48–60, 2015.
Scharfenberger, C., A. Wong, and D. A. Clausi, "Structure-guided Statistical Textural Distinctiveness for Salient Region Detection in Natural Images", IEEE Transactions on Image Processing, vol. 24, pp. 457-470, 01/2015.
Scharfenberger, C., A. Wong, and D. A. Clausi, "Structure-guided statistical textural distinctiveness for salient region detection in natural images", IEEE Transactions on Image Processing, vol. 24, no. 1: IEEE, pp. 457–470, 2014.
Scharfenberger, C., S. Chakraborty, and G. Faerber, "Robust Image Processing for an Omnidirectional Camera-based Smart Car Door", ACM Transactions on Embedded Computing Systems, vol. 11, issue 4, 2012.
Schneider, M., P. Fieguth, W. C. Karl, and A. S. Willsky, "Multiscale Methods for the Segmentation of Images", ICASSP '96, 1996. PDF icon multiscale_methods_for_the_segmentation_of_images.pdf (278.94 KB)
Schneider, MEC., P. W. Fieguth, W. Clement Karl, and A. S. Willsky, "Multiscale methods for the segmentation of images", 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, vol. 4: IEEE, pp. 2247–2250, 1996.
Schneider, M. K., P. W. Fieguth, W. C. Karl, and A. S. Willsky, "Multiscale methods for the segmentation and reconstruction of signals and images", IEEE Transactions on image processing, vol. 9, no. 3: IEEE, pp. 456–468, 2000.
Schneider, M., P. Fieguth, W. C. Karl, and A. S. Willsky, "Multiscale statistical methods for the segmentation of signals and images", IEEE Transactions on Image Processing, vol. 9, pp. 456 - 468, 2000. PDF icon multiscale_methods_for_the_segmentation_of_images.pdf (278.94 KB)
Scholtz, J., "Human-Robot Interaction", RoboCup Rescue Camp, 2004.
Schulze, A., A. Murczek, D. Corneil, D. Kraan, D. Smith, K. Cerar, J. Ma, and J. Zelek, "StandEasy: a device for people with Parkinson's Disease", Proceedings of the Fourth IASTED International Conference, vol. 619, no. 006, pp. 84, 2008.
Schwartz, S., A. Wong, and D. A. Clausi, "Multi-scale saliency-guided compressive sensing approach to efficient robotic laser range measurements", 2012 Ninth Conference on Computer and Robot Vision (CRV), 05/2012.
Schwartz, S., A. Wong, and D. A. Clausi, "Multi-scale saliency-guided compressive sensing approach to efficient robotic laser range measurements", 2012 Ninth Conference on Computer and Robot Vision: IEEE, pp. 1–8, 2012.
Schwartz, S., A. Wong, and D. A. Clausi, "Saliency-guided compressive fluorescence microscopy", 34th Annual International Conference of the IEEE Engineering in Medicine and Biology,, San Diego, USA., 2012. PDF icon shimon_schwartz_poster.pdf (696.53 KB)
Schwartz, S., A. Wong, and D. A. Clausi, "Saliency-guided compressive fluorescence microscopy", 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society: IEEE, pp. 4365–4368, 2012.
Schwartz, M. J., J. W. Barrett, P. Fieguth, P. W. Rosenkranz, M. S. Spina, and D. H. Staelin, "Passive microwave imagery of a tropical storm near 118 GHz thermal and precipitation structure", IGARSS '94, 1994. PDF icon passive_microwave_imagery_of_a_tropical_storm_near_118_ghz_thermal_and_precipitation_structure.pdf (414.21 KB)
Schwartz, MJ., JW. Barrett, PW. Fieguth, PW. Rosenkranz, MS. Spina, and DH. Staelin, "Passive microwave imagery of a tropical storm near 118 GHz thermal and precipitation structure", Proceedings of IGARSS'94-1994 IEEE International Geoscience and Remote Sensing Symposium, vol. 4: IEEE, pp. 2433–2435, 1994.
Schwartz, S., A. Wong, and D. A. Clausi, "Optimized sampling distribution based on nonparametric learning for improved compressive sensing performance", Journal of Visual Communication and Image Representation, vol. 31, pp. 26-40, 10/2015.
Schwartz, S., A. Wong, and D. A. Clausi, "Optimized sampling distribution based on nonparametric learning for improved compressive sensing performance", Journal of Visual Communication and Image Representation, vol. 31: Academic Press, pp. 26–40, 2015.
Schwartz, S., C. Liu, A. Wong, D. A. Clausi, P. Fieguth, and K. Bizheva, "Energy-guided learning approach to compressive FD-OCT", Optics Express, vol. 21, issue 1, pp. 329 - 344, 2013.
Schwartz, S., C. Liu, A. Wong, D. A. Clausi, P. Fieguth, and K. Bizheva, "Energy-guided learning approach to compressive FD-OCT", Optics express, vol. 21, no. 1: Optical Society of America, pp. 329–344, 2013.
Schwartz, S., A. Wong, and D. A. Clausi, "Saliency-guided compressive sensing approach to efficient laser range measurement", Journal of Visual Communication and Image Representation, vol. 24, pp. 160-170, 02/2013.
Schwartz, S., A. Wong, and D. A. Clausi, "Saliency-guided compressive sensing approach to efficient laser range measurement", Journal of visual communication and image representation, vol. 24, no. 2: Academic Press, pp. 160–170, 2013.
Schwartz, S., A. Wong, and D. A. Clausi, "Compressive fluorescence microscopy using saliency-guided sparse reconstruction ensemble fusion", Optics Express, vol. 20, issue 16, 07/2012.
Schwartz, S., A. Wong, and D. A. Clausi, "Compressive fluorescence microscopy using saliency-guided sparse reconstruction ensemble fusion", Optics Express, vol. 20, no. 16: Optical Society of America, pp. 17281–17296, 2012.
Schwartz, MJ., JW. Barrett, PW. Fieguth, PW. Rosenkranz, MS. Spina, and DH. Staelin, "Observations of thermal and precipitation structure in a tropical cyclone by means of passive microwave imagery near 118 GHz", Journal of Applied Meteorology, vol. 35, no. 5, pp. 671–678, 1996.
Schwartz, M. J., J. W. Barrett, P. Fieguth, P. Rosenkranz, M. S. Spina, and D. H. Staelin, "Observations of Thermal and Precipitation Structure in a Tropical Cyclone by Means of Passive Microwave Imagery near 118GHz", Journal of Applied Meteorology, pp. 671 - 678, 1996. PDF icon observations_of_thermal_and_precipitation_structure_in_a_tropical_cyclone_by_means_of_passive_microwave_imagery_near_118ghz.pdf (466.43 KB)
Schwartz, S., "Data-guided statistical sparse measurements modeling for compressive sensing", Department of Systems Engineering, Waterloo, ON, Canada, University of Waterloo, 04/2013.
Scott, DJ., O. A. Basir, K. S. Hassanein, and J. S. Zelek, "Data fusion approach to verifying handwritten signatures on bank checks", 27th AIPR Workshop: Advances in Computer-Assisted Recognition, vol. 3584: International Society for Optics and Photonics, pp. 84–95, 1999.
Scott, A. K., E. Li, and A. Wong, "Sea ice surface temperature estimation using MODIS and AMSR-E data within a guided variational model along the Labrador Coast", IEEE Journal of Special Topics in Remote Sensing, 2014.
K Scott, A., E. Li, and A. Wong, "Sea ice surface temperature estimation using MODIS and AMSR-E data within a guided variational model along the Labrador Coast", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 9: IEEE, pp. 3685–3694, 2014.
Sengupta, S., A. Wong, A. Singh, J. Zelek, and V. Lakshminarayanan, "DeSupGAN: Multi-scale Feature Averaging Generative Adversarial Network for Simultaneous De-blurring and Super-Resolution of Retinal Fundus Images", International Workshop on Ophthalmic Medical Image Analysis: Springer, Cham, pp. 32–41, 2020.
Sengupta, S., A. Athwale, T. Gulati, J. Zelek, and V. Lakshminarayanan, "FunSyn-Net: enhanced residual variational auto-encoder and image-to-image translation network for Fundus Image Synthesis", Medical Imaging 2020: Image Processing, vol. 11313: International Society for Optics and Photonics, pp. 113132M, 2020.
Sengupta, S., A. Singh, J. Zelek, and V. Lakshminarayanan, "Cross-domain diabetic retinopathy detection using deep learning", Applications of Machine Learning, vol. 11139: International Society for Optics and Photonics, pp. 111390V, 2019.
Sengupta, S., J. Zelek, and V. Lakhsminarayanan, "Generative Modeling for Retinal Fundus Image Synthesis", Journal of Computational Vision and Imaging Systems, vol. 5, no. 1, pp. 2–2, 2019.
Shabani, A. H., and D. A. Clausi, "Evaluation of local spatio-temporal salient feature detectors for human action recognition", IEEE Canadian Conference on Computer and Robot Vision, 05/2012. PDF icon evaluation_of_local_spatio-temporal_salient_feature_detectors_for_human_action_recognition.pdf (454.55 KB)
Shabani, A. H., D. A. Clausi, and J. S. Zelek, "Evaluation of local spatio-temporal salient feature detectors for human action recognition", 2012 Ninth Conference on Computer and Robot Vision: IEEE, pp. 468–475, 2012.
Shabani, A. H., J. S. Zelek, and D. A. Clausi, "Regularized gradient kernel anisotropic diffusion for better image filtering", 2012 Ninth Conference on Computer and Robot Vision: IEEE, pp. 383–387, 2012.
Shabani, A. H., D. A. Clausi, and J. S. Zelek, "Improved Spatio-temporal Salient Feature Detection for Action Recognition", British Machine Vision Conference, University of Dundee, Dundee, UK, 08/2011.
Shabani, A. Hossein, D. A. Clausi, and J. S. Zelek, "Improved Spatio-temporal Salient Feature Detection for Action Recognition.", BMVC, pp. 1–12, 2011.
Shabani, A. H., J. S. Zelek, and D. A. Clausi, "Human action recognition using salient opponent-based motion features", 7th Canadian Conference on Computer and Robotic Vision, Ottawa, Ontario, Canada, 06/2010.
Shabani, A-H., J. S. Zelek, and D. A. Clausi, "Human action recognition using salient opponent-based motion features", 2010 Canadian Conference on Computer and Robot Vision: IEEE, pp. 362–369, 2010.
Shabani, A. H., M. H. Ghaeminia, and S. B. Shokouhi, "Human tracking using spatialized multi-level histogramming and mean shift", IEEE Canadian Conference on Computer and Robot Vision, 05/2010.
Shabani, A. H., M. H. Ghaeminia, and S. B. Shokouhi, "Human tracking using spatialized multi-level histogramming and mean shift", IEEE Canadian Conference on Computer and Robot Vision, 2010.
Shabani, A. H., J. S. Zelek, and D. A. Clausi, "Robust Local Video Event Detection for Action Recognition", Advances in Neural Information Processing Systems (NIPS), Machine Learning for Assistive Technology Workshop, Whistler, Canada, 10/2010.
Shabani, A. H., D. A. Clausi, and J. S. Zelek, "Towards a robust spatio-temporal interest point detection for human action recognition", IEEE Canadian Conference on Computer and Robot Vision, Kelowna, BC, Canada, Kelowna, British Columbia, Canada, 05/2009.
Shabani, H., D. A. Clausi, and J. S. Zelek, "Towards a robust spatio-temporal interest point detection for human action recognition", 2009 Canadian Conference on Computer and Robot Vision: IEEE, pp. 237–243, 2009.
Shabani, A. H., and S. B. Shokouhi, "A new automatic calibration algorithm for 3-D optical scanners", IEEE Conference on Machine Vision, Image Processing and Applications (MVIP), Tehran, Iran, 02/2005.
Shabani, A. H., and S. B. Shokouhi, "Fuzzy thinning in 3D laser scanning using structured light", IEEE Conference on Machine Vision, Image Processing and Applications (MVIP), Tehran, Iran, 2005.
Shabani, A. H., and S. B. Shokouhi, "Self-recalibration of a 3D Laser Scanner", 13th Iranian Conference in Electrical Engineering (ICEE), Zanjan, Iran, 2005.
Shabani, A. H., and S. B. Shokouhi, "A new method of edge detection based on the classical and fuzzy methods", 11'th Iranian Conference in Electrical Engineering (ICEE), Zanjan, Iran, Zanjan, Iran, 05/2003.
Shabani, A. H., J. S. Zelek, and D. A. Clausi, "Multiple scale-specific representations for improved human action recognition", Pattern Recognition Letters, 2014. PDF icon multiplescale-specificrepresentationsforimprovedhumanactionrecognition.pdf (666.57 KB)
Shabani, A. H., J. S. Zelek, and D. A. Clausi, "Multiple scale-specific representations for improved human action recognition", Pattern Recognition Letters, vol. 34, no. 15: North-Holland, pp. 1771–1779, 2013.
Shabani, A. H., J. S. Zelek, and D. A. Clausi, "Multiple scale-specific representations for improved human action recognition", Pattern Recognition Letters, vol. 34, no. 15: Elsevier, pp. 1771–1779, 2013.
Shafiee, M. Saeed, M. Javad Shafiee, and A. Wong, "Dynamic Representations Toward Efficient Inference on Deep Neural Networks by Decision Gates", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 0–0, 2019.
Shafiee, M. Saeed, M. Javad Shafiee, and A. Wong, "Dynamic Representations Toward Efficient Inference on Deep Neural Networks by Decision Gates", 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW): IEEE, pp. 667–675, 2019.
Shafiee, M. J., E. Barshan, F. Li, B. Chwyl, M. Karg, C. Scharfenberger, and A. Wong, "Learning efficient deep feature representations via transgenerational genetic transmission of environmental information during evolutionary synthesis of deep neural networks", Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 979–986, 2017.
Shafiee, M. Javad, P. Siva, P. Fieguth, and A. Wong, "Efficient deep feature learning and extraction via StochasticNets", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 28–36, 2016.
Shafiee, M. J., P. Siva, P. Fieguth, and A. Wong, "Efficient Feature Learning and Extraction via StochasticNets", IEEE Computer Vision and Pattern Recognition Workshops, 2016.
Shafiee, M. J., P. Siva, P. Fieguth, and A. Wong, "Embedded Motion Detection via Neural Response Mixture Background Modeling", IEEE Computer Vision and Pattern Recognition Workshops (IEEE CVPRW), 2016.
Shafiee, M. Javad, P. Siva, P. Fieguth, and A. Wong, "Embedded Motion Detection via Neural Response Mixture Background Modeling", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016.
Shafiee, M. Javad, P. Siva, P. Fieguth, and A. Wong, "Embedded motion detection via neural response mixture background modeling", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 19–26, 2016.
Shafiee, M. Javad, P. Siva, P. Fieguth, and A. Wong, "Embedded motion detection via neural response mixture background modeling", 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW): IEEE, pp. 837–844, 2016.
Shafiee, M. J., A. Chung, A. Wong, and P. Fieguth, "IMPROVED FINE STRUCTURE MODELING VIA GUIDED STOCHASTIC CLIQUE FORMATION IN FULLY CONNECTED CONDITIONAL RANDOM FIELDS", IEEE Conference on Image Processing, 2015. PDF icon 388-pgav-121.pdf (851.05 KB)
Shafiee, M. Javad, A. G. Chung, A. Wong, and P. Fieguth, "Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields", 2015 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 3260–3264, 2015.
Shafiee, M. J., A. Wong, P. Siva, and P. Fieguth, "EFFICIENT BAYESIAN INFERENCE USING FULLY CONNECTED CONDITIONAL RANDOM FIELDS WITH STOCHASTIC CLIQUES", International Conference on Image Processing, IEEE, 2014. PDF icon icip_v11.pdf (875.56 KB)PDF icon icip2014.pdf (786.4 KB)
Shafiee, MJ., A. Wong, P. Siva, and P. Fieguth, "Efficient bayesian inference using fully connected conditional random fields with stochastic cliques", 2014 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 4289–4293, 2014.
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.
Shafiee, MJ., Z. Azimifar, A. Wong, and P. Fieguth, "A Novel Hierarchical Model-Based Frame Rate Up-Conversion via Spatio-temporal Conditional Random Fields", Multimedia (ISM), 2011 IEEE International Symposium on: IEEE, pp. 228–232, 2011.
Shafiee, MJ., Z. Azimifar, A. Wong, and P. Fieguth, "A Novel Hierarchical Model-Based Frame Rate Up-Conversion via Spatio-temporal Conditional Random Fields", 2011 IEEE International Symposium on Multimedia: IEEE, pp. 228–232, 2011.
Shafiee, M. J., Z. Azimifar, and P. Fieguth, "Model-based tracking: Temporal conditional random fields", 17th IEEE International Conference on Image Processing (ICIP), 2010. PDF icon model-based_tracking_temporal_conditional_random_fields.pdf (396.54 KB)
Shafiee, MJ., Z. Azimifar, and P. Fieguth, "Model-based tracking: Temporal conditional random fields", Image Processing (ICIP), 2010 17th IEEE International Conference on: IEEE, pp. 4645–4648, 2010.
Shafiee, MJ., Z. Azimifar, and P. Fieguth, "Model-based tracking: Temporal conditional random fields", 2010 IEEE International Conference on Image Processing: IEEE, pp. 4645–4648, 2010.
Shafiee, MJ., Z. Azimifar, and P. Fieguth, "Temporal conditional random fields: a conditional state space predictor for visual tracking", 2010 6th Iranian Conference on Machine Vision and Image Processing: IEEE, pp. 1–6, 2010.
Shafiee, MJ., B. Chywl, F. Li, and A. Wong, "Fast YOLO: A fast you only look once system for real-time embedded object detection in video. arXiv 2017", arXiv preprint arXiv:1709.05943, Submitted.
Shafiee, M. Javad, A. Jeddi, A. Nazemi, P. Fieguth, and A. Wong, "Deep Neural Network Perception Models and Robust Autonomous Driving Systems", arXiv preprint arXiv:2003.08756, 2020.
Shafiee, M. Javad, A. Jeddi, A. Nazemi, P. Fieguth, and A. Wong, "Deep Neural Network Perception Models and Robust Autonomous Driving Systems", arXiv, pp. arXiv–2003, 2020.
Shafiee, M. Javad, A. Jeddi, A. Nazemi, P. Fieguth, and A. Wong, "Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement", IEEE Signal Processing Magazine, vol. 38, no. 1: IEEE, pp. 22–30, 2020.
Shafiee, M. Javad, M. Nentwig, Y. Kassahun, F. Li, S. Bochkarev, A. Kamal, D. Dolson, S. Altintas, A. Virani, and A. Wong, "Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving", arXiv preprint arXiv:1909.05587, 2019.
Shafiee, M. Javad, M. Nentwig, Y. Kassahun, F. Li, S. Bochkarev, A. Kamal, D. Dolson, S. Altintas, A. Virani, and A. Wong, "Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving", arXiv, pp. arXiv–1909, 2019.
Shafiee, M. Javad, A. Hryniowski, F. Li, Z. Qiu Lin, and A. Wong, "State of Compact Architecture Search For Deep Neural Networks", arXiv preprint arXiv:1910.06466, 2019.
Shafiee, M. Javad, A. Hryniowski, F. Li, Z. Qiu Lin, and A. Wong, "State of Compact Architecture Search For Deep Neural Networks", arXiv, pp. arXiv–1910, 2019.
Shafiee, M. Javad, B. Chwyl, F. Li, R. Chen, M. Karg, C. Scharfenberger, and A. Wong, "StressedNets: Efficient feature representations via stress-induced evolutionary synthesis of deep neural networks", Neurocomputing, vol. 352: Elsevier, pp. 93–105, 2019.
Shafiee, M. Javad, A. Mishra, and A. Wong, "Deep learning with Darwin: Evolutionary synthesis of deep neural networks", Neural Processing Letters, vol. 48, no. 1: Springer US, pp. 603–613, 2018.
Shafiee, M. Saeed, M. Javad Shafiee, and A. Wong, Efficient inference on deep neural networks by dynamic representations and decision gates, 2018.
Shafiee, M. Javad, P. Siva, P. Fieguth, and A. Wong, "Real-time embedded motion detection via neural response mixture modeling", Journal of Signal Processing Systems, vol. 90, no. 6: Springer US, pp. 931–946, 2018.
Shafiee, M. Javad, B. Chwyl, F. Li, R. Chen, M. Karg, C. Scharfenberger, and A. Wong, "StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks", arXiv, pp. arXiv–1801, 2018.
Shafiee, M. Javad, and A. Wong, "Discovery radiomics via deep multi-column radiomic sequencers for skin cancer detection", arXiv preprint arXiv:1709.08248, 2017.
Shafiee, M. Javad, and A. Wong, "Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection", arXiv, pp. arXiv–1709, 2017.
Shafiee, M. Javad, A. G. Chung, F. Khalvati, M. A. Haider, and A. Wong, "Discovery radiomics via evolutionary deep radiomic sequencer discovery for pathologically proven lung cancer detection", Journal of medical imaging, vol. 4, no. 4: International Society for Optics and Photonics, pp. 041305, 2017.
Shafiee, M. Javad, A. G. Chung, F. Khalvati, M. A. Haider, and A. Wong, "Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection", arXiv, pp. arXiv–1705, 2017.
Shafiee, M. Javad, E. Barshan, and A. Wong, "Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks", arXiv preprint arXiv:1704.02081, 2017.
Shafiee, M. Javad, E. Barshan, and A. Wong, "Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks", arXiv, pp. arXiv–1704, 2017.
Shafiee, M. Javad, F. Li, and A. Wong, "Exploring the imposition of synaptic precision restrictions for evolutionary synthesis of deep neural networks", arXiv preprint arXiv:1707.00095, 2017.
Shafiee, M. Javad, F. Li, and A. Wong, "Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks", arXiv, pp. arXiv–1707, 2017.
Shafiee, M. Javad, B. Chywl, F. Li, and A. Wong, "Fast YOLO: A fast you only look once system for real-time embedded object detection in video", arXiv preprint arXiv:1709.05943, 2017.
Shafiee, M. Javad, Randomly-connected Non-Local Conditional Random Fields: University of Waterloo, 2017.
Shafiee, M. Javad, F. Li, B. Chwyl, and A. Wong, "SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis", arXiv preprint arXiv:1711.07459, 2017.
Shafiee, M. Javad, F. Li, B. Chwyl, and A. Wong, "SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis", arXiv, pp. arXiv–1711, 2017.
Shafiee, M. Javad, A. Wong, and P. Fieguth, "Deep randomly-connected conditional random fields for image segmentation", IEEE Access, vol. 5: IEEE, pp. 366–378, 2016.
Shafiee, M. Javad, and A. Wong, "Evolutionary synthesis of deep neural networks via synaptic cluster-driven genetic encoding", arXiv preprint arXiv:1609.01360, 2016.
Shafiee, M. Javad, and A. Wong, "Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding", arXiv, pp. arXiv–1609, 2016.
Shafiee, M. Javad, A. Mishra, and A. Wong, "EvoNet: Evolutionary Synthesis of Deep Neural Networks", CoRR, 2016.
Shafiee, M. Javad, P. Siva, C. Scharfenberger, P. Fieguth, and A. Wong, "Nerd: A neural response divergence approach to visual saliency detection", IEEE Signal Processing Letters, vol. 23, no. 10: IEEE, pp. 1404–1408, 2016.
Shafiee, M. Javad, P. Fieguth, and A. Wong, "StochasticNet in StochasticNet", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Shafiee, M. J., P. Siva, and A. Wong, "StochasticNet: Forming Deep Neural networks via Stochastic Connectivity", IEEE Access Journal, vol. 4, 04/2016.
Shafiee, M. Javad, P. Siva, and A. Wong, "Stochasticnet: Forming deep neural networks via stochastic connectivity", IEEE Access, vol. 4: IEEE, pp. 1915–1924, 2016.
Shafiee, M. J., Z. Azimifar, and A. Wong, "A Deep-structured Conditional Random Field Model for Object Silhouette Tracking", PLoS ONE, 2015.
Shafiee, M. Javad, Z. Azimifar, and A. Wong, "A deep-structured conditional random field model for object silhouette tracking", PloS one, vol. 10, no. 8: Public Library of Science, pp. e0133036, 2015.
Shafiee, M. J., S. Haider, A. Wong, D. Lui, A. 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, 2015.
Shafiee, M. J., D. Kumar, F. Khalvati, M. A. Haider, and A. Wong, "Discovery Radiomics via StochasticNet Sequencers for Cancer Detection", CoRR, 2015.
Shafiee, M. Javad, A. G. Chung, D. Kumar, F. Khalvati, M. Haider, and A. Wong, "Discovery radiomics via stochasticnet sequencers for cancer detection", arXiv preprint arXiv:1511.03361, 2015.
Shafiee, M. Javad, A. G. Chung, D. Kumar, F. Khalvati, M. Haider, and A. Wong, "Discovery Radiomics via StochasticNet Sequencers for Cancer Detection", arXiv, pp. arXiv–1511, 2015.
M. Shafiee, J., P. Siva, P. Fieguth, and A. Wong, "Domain Adaptation and Transfer Learning in Stochastic Nets", Vision Letters, vol. 1, 2015. PDF icon 44-75-1-sm.pdf (48.69 KB)
Shafiee, M. Javad, P. Siva, P. Fieguth, and A. Wong, "Domain Adaptation and Transfer Learning in StochasticNets", arXiv preprint arXiv:1512.05844, 2015.
Shafiee, M. Javad, P. Siva, P. Fieguth, and A. Wong, "Domain Adaptation and Transfer Learning in StochasticNets", arXiv, pp. arXiv–1512, 2015.
Shafiee, M. Javad, A. Wong, and P. Fieguth, "Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields", arXiv preprint arXiv:1506.09110, 2015.
Shafiee, M. Javad, P. Siva, and A. Wong, "StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity", arXiv, pp. arXiv–1508, 2015.
Shafiee, M. Javad, S. A. Haider, A. Wong, D. Lui, A. Cameron, A. Modhafar, P. Fieguth, and M. A. Haider, "Apparent Ultra-High $ b $-Value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields", IEEE transactions on medical imaging, vol. 34, no. 5: IEEE, pp. 1111–1124, 2014.
Shafiee, M. J., Z. Azimfar, and P. Fieguth, "How Conditional Random Fields Learn Dynamics: An Example-Based Study", Computer Communication & Collaboration, vol. 1, 2013. PDF icon crf.pdf (1012.84 KB)
Sheng, S., E. Pakdamanian, K. Han, BG. Kim, P. Tiwari, I. Kim, and L. Feng, "A case study of trust on autonomous driving", 2019 IEEE Intelligent Transportation Systems Conference (ITSC): IEEE, pp. 4368–4373, 2019.
Shirazi-Adl, A., and M. Parnianpour, "Finite element model studies in lumbar spine biomechanics", Biomechanics Systems Techniques and Application, Gordon and Breach Publishers, 1997.
Shum, A., AO. Wong, C. W. Chan, K. D. Costa, M. Khine, C-W. Kong, and R. A. Li, "Directly visualizing drug-induced arrhythmias with aligned human pluripotent stem cell-based ventricular cardiac anisotropic sheet.", Journal of Pharmacological and Toxicological Methods, vol. 99, pp. 106595–106595, 2019.
Shum, A. M. Y., H. Che, A. On- Tik Wong, C. Zhang, H. Wu, C. W. Y. Chan, K. Costa, M. Khine, C-W. Kong, and R. A. Li, "A Micropatterned Human Pluripotent Stem Cell-Based Ventricular Cardiac Anisotropic Sheet for Visualizing Drug-Induced Arrhythmogenicity", Advanced Materials, vol. 29, no. 1, pp. 1602448, 2017.
Singh, A., A. Rasheed Mohammed, J. Zelek, and V. Lakshminarayanan, "Interpretation of deep learning using attributions: application to ophthalmic diagnosis", Applications of Machine Learning 2020, vol. 11511: International Society for Optics and Photonics, pp. 115110A, 2020.
Singh, A., S. Sengupta, A. Rasheed Mohammed, I. Faruq, V. Jayakumar, J. Zelek, V. Lakshminarayanan, and others, "What is the Optimal Attribution Method for Explainable Ophthalmic Disease Classification?", International Workshop on Ophthalmic Medical Image Analysis: Springer, Cham, pp. 21–31, 2020.
Sinha, SK., PW. Fieguth, and MA. Polak, "Computer Vision Techniques for Inspection of Pipes", Computing in Civil and Building Engineering (2000), pp. 418–425, 2000.
Sinha, S. K., and P. Fieguth, "Assessment, rehabilitation and maintenance of buried pipes", International Pipeline Conference, San Diego, California, 2002.
Sinha, S. K., and P. Fieguth, "Development of an automated pipeline inspection system", International Conference on Underground Infrastructure Research, Waterloo, Ontario, Canada, 2001.
Sinha, S., "Development of an automated pipeline inspection system", Proc., Int. Symp. Underground Infrastructure Research: Swets & Zeitliger, pp. 279–286, 2001.
Sinha, S. K., and P. Fieguth, "Detection of minor cracks on noisy buried sewer pipe images", VI Construction Conference, Orlando, 2000.
Sinha, S. K., F. Karray, and P. Fieguth, "Underground pipe cracks classification using image analysis and neuro-fuzzy algorithm", IEEE Symposium on Intelligent Control, 1999. PDF icon underground_pipe_cracks_classification_using_image_analysis_and_neurofuzzy_algorithm.pdf (581.53 KB)
Sinha, SK., F. Karray, and PW. Fieguth, "Underground pipe cracks classification using image analysis and neuro-fuzzy algorithm", Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No. 99CH37014): IEEE, pp. 399–404, 1999.
Sinha, S. K., P. Fieguth, M. A. Polak, and R. A. McKim, "Automated underground sewer pipe defect detection & classification", 1998 CATT Bi-Annual Conference and Field Exposition, Waterloo, 1998.
Sinha, S. K., and P. Fieguth, "Automated detection of crack defects in buried concrete pipe images", Automation in Construction, vol. 15, pp. 58 - 72, 2006. PDF icon automated_detection_of_crack_defects_in_buried_concrete_pipe_images.pdf (1.15 MB)
Sinha, S. K., and P. W. Fieguth, "Automated detection of cracks in buried concrete pipe images", Automation in Construction, vol. 15, no. 1: Elsevier, pp. 58–72, 2006.
Sinha, S. K., and P. Fieguth, "Morphological segmentation and classification of underground pipe images", Machine Vision and Applications, vol. 17, pp. 21 - 31, 2006.
Sinha, S. K., and P. W. Fieguth, "Morphological segmentation and classification of underground pipe images", Machine Vision and Applications, vol. 17, no. 1: Springer-Verlag, pp. 21, 2006.
Sinha, S. K., and P. Fieguth, "Neuro-fuzzy network for the classification of buried pipe defects", Automation in Construction, vol. 15, pp. 73 - 83, 2006. PDF icon neuro-fuzzy_network_for_the_classification_of_buried_pipe_defects.pdf (589.69 KB)
Sinha, S. K., and P. W. Fieguth, "Neuro-fuzzy network for the classification of buried pipe defects", Automation in Construction, vol. 15, no. 1: Elsevier, pp. 73–83, 2006.
Sinha, S. K., and P. Fieguth, "Segmentation of buried concrete pipe images", Automation in Construction, vol. 15, pp. 47 - 57, 2006. PDF icon segmentation_of_buried_concrete_pipe_images.pdf (833.19 KB)
Sinha, S. K., and P. W. Fieguth, "Segmentation of buried concrete pipe images", Automation in Construction, vol. 15, no. 1: Elsevier, pp. 47–57, 2006.
Sinha, S. K., P. Fieguth, and M. A. Polak, "Computer vision techniques for automatic structural assessment of underground pipes", Computer-Aided Civil and Infrastructure Engineering, vol. 18, pp. 95 - 112, 2003. PDF icon computer_vision_techniques_for_automatic_structural_assessment_of_underground_pipes.pdf (317.5 KB)
Sinha, S. K., P. W. Fieguth, and M. A. Polak, "Computer vision techniques for automatic structural assessment of underground pipes", Computer-Aided Civil and Infrastructure Engineering, vol. 18, no. 2: Blackwell Publishing Inc Boston, USA and Oxford, UK, pp. 95–112, 2003.
Sinha, S. K., "Automated Underground Pipe Inspection Using a Unified Image Processing and Artificial Intelligence Methodology", Department of Systems Engineering, Waterloo, Ontario, Canada, University of Waterloo, 2000.
Siu, S., M. Wong, A. Shah, H. Li, A. Soong, R. Cao, L. Pino, and J. Zelek, "Redesign of the rollator's (walker's) parking brake system", Proceedings of the Fourth IASTED International Conference, vol. 619, no. 003, pp. 129, 2008.
Siva, P., M. Javad Shafiee, M. Jamieson, and A. Wong, "Real-time, embedded scene invariant crowd counting using scale-normalized histogram of moving gradients (homg)", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 67–74, 2016.
Siva, P., M. Shafiee, M. Jamieson, and A. Wong, "Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG)", IEEE Computer Vision and Pattern Recognition Workshops IEEE CVPRW, 2016.
Siva, P., M. Javad Shafiee, F. Li, and A. Wong, "Pirm: fast background subtraction under sudden, local illumination changes via probabilistic illumination range modelling", 2015 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 789–792, 2015.
Siva, P., C. Scharfenberger, I. B. Daya, A. Mishra, and A. Wong, "Return Of Grid Seams: A Superpixel Algorithm Using Discontinuous Multi-Functional Energy Seam Carving", IEEE International Conference on Image Processing, 09/2015.
Siva, P., C. Scharfenberger, I. Ben Daya, A. Mishra, and A. Wong, "Return of grid seams: A superpixel algorithm using discontinuous multi-functional energy seam carving", 2015 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 1334–1338, 2015.
Siva, P., and A. Wong, "Grid Seams: A fast superpixel algorithm for real-time applications", Conference on Computer and Robot Vision, 2014.
Siva, P., and A. Wong, "Grid seams: A fast superpixel algorithm for real-time applications", 2014 Canadian Conference on Computer and Robot Vision: IEEE, pp. 127–134, 2014.
Siva, P., and A. Wong, "URC: Unsupervised clustering of remote sensing imagery", IEEE Geosciences and Remote Sensing Symposium, 2014.
Siva, P., and A. Wong, "URC: Unsupervised regional clustering of remote sensing imagery", 2014 IEEE Geoscience and Remote Sensing Symposium: IEEE, pp. 4938–4941, 2014.
Siva, P., G. W. Brodland, and D. A. Clausi, "Automated detection of mitosis in embryonic tissues", 4th Annual Canadian Conference on Computer and Robot Vision, Montreal, Quebec, Canada, 05/2007. PDF icon automated_detection_of_mitosis_in_embryonic_tissues.pdf (2.91 MB)
Siva, P., W. G Brodland, and D. Clausi, "Automated detection of mitosis in embryonic tissues", Fourth Canadian Conference on Computer and Robot Vision (CRV'07): IEEE, pp. 97–104, 2007.
Siva, P., M. Javad Shafiee, M. Jamieson, and A. Wong, "Scene invariant crowd segmentation and counting using scale-normalized histogram of moving gradients (HOMG)", arXiv preprint arXiv:1602.00386, 2016.
Siva, P., G. W. Brodland, and D. A. Clausi, Detecting mitoses in time-lapse images of embryonic epithelia using intensity analysis, vol. 37, pp. 2646 - 2655, 2010. PDF icon detecting_mitoses_in_time-lapse_images_of_embryonic_epithelia_using_intensity_analysis.pdf (685.72 KB)
Siva, P., G. W. Brodland, and D. A. Clausi, "Detection of mitoses in embryonic epithelia using motion field analysis", Computer Methods in Biomechanics and Biomedical Engineering, vol. 12, pp. 151-163, 2010. PDF icon detection_of_mitoses_in_embryonic_epithelia_using_motion_field_analysis.pdf (854.31 KB)
Siva, P., W. G Brodland, and D. Clausi, "Detecting mitoses in time-lapse images of embryonic epithelia using intensity analysis", Annals of biomedical engineering, vol. 37, no. 12: Springer US, pp. 2646–2655, 2009.
Siva, P., W. G Brodland, and D. Clausi, "Detection of mitoses in embryonic epithelia using motion field analysis", Computer Methods in Biomechanics and Biomedical Engineering, vol. 12, no. 2: Taylor & Francis Group, pp. 151–163, 2009.
Siva, P., "Quantifying the Frequency and Orientation of Mitoses in Embyronic Epithelia", Department of Systems Design Engineering, Waterloo, Ontario, Canada, University of Waterloo, 2007. PDF icon quantifying_the_frequency_and_orientation_of_mitoses_in_embyronic_epithelia.pdf (19.94 MB)
So, W., J. A. Eichel, P. Szabo, and L. Vu, System and Method for Multiple Aircraft Lifting a Common Load, 2008.
Soltani-Sarvestani, M. Amin, Z. Azimifar, A. Wong, and A. Akbar Safavi, "An Innovative Eigenvector-Based Method for Traffic Light Scheduling", Journal of Advanced Transportation, vol. 2020: Hindawi, 2020.
Song, S., A. Wong, J. Huissoon, and S. L. Waslander, "Autonomous vehicle control near the limit of friction", 2015 IEEE 18th International Conference on Intelligent Transportation Systems: IEEE, pp. 1008–1013, 2015.
Spiro, A. S., A. Wong, A. A. Boucher, and J. C. Arnold, "Enhanced brain disposition and effects of Δ 9-tetrahydrocannabinol in P-glycoprotein and breast cancer resistance protein knockout mice", PloS one, vol. 7, no. 4: Public Library of Science, pp. e35937, 2012.
Swift, W., A. Wong, K. M. Li, J. C. Arnold, and I. S. McGregor, "Analysis of cannabis seizures in NSW, Australia: cannabis potency and cannabinoid profile", PloS one, vol. 8, no. 7: Public Library of Science, pp. e70052, 2013.

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