Dr. Jonathan Wu

Dr. Jonathan Wu

Distinguished Professor
Tier 1 Canada Research Chair in Automotive Sensor and Information Systems (2005 - 2019)
519-253-3000 ext. 2580
jwu@uwindsor.ca
Office: 3034 CEI

Research Interests

  • Computer vision systems for active vehicle safety & driver assistance
  • Machine learning and sensor fusion for autonomous driving
  • Sensor technology & big data analytics for medicine & cross-border security
  • Distributed sensing for industrial monitoring & automation

Professional Affiliations

  • Professional engineer
  • Fellow of the Canadian Academy of Engineering
  • Senior member, IEEE
  • Associate Editor,  IEEE Transaction on Cybernetics

Selected Publications

  • SEnDec:  An improved image to image CNN for foreground localization, T Akilan, QMJ Wu, IEEE Transactions on Intelligent Transportation Systems 21 (10), 4435-4443, 2019. 

  • Weighted extreme sparse classifier and local derivative pattern for 3D face recognition, S Soltanpour, QMJ Wu, IEEE Transactions on Image Processing 28 (6), 3020-3033, 2019. 
               
  • Recomputation of the Dense Layers for Performance Improvement of DCNN, Y Yang, QMJ Wu, X Feng, T Akilan, IEEE Transactions on pattern analysis and machine intelligence 42 (11), 2912-2925, 2019. 

  • Multiple kernel point set registration, TM Nguyen, QMJ Wu, IEEE transactions on cybernetics 46 (11), 2570-2583, 2015.  

  • Extreme learning machine with subnetwork hidden nodes for regression and classification, Y Yang, QMJ Wu, IEEE transactions on cybernetics 46 (12), 2885-2898, 2015. 

  • Autoencoder with invertible functions for dimension reduction and image reconstruction, Y Yang, QMJ, Wu, Y Wang, IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (7), 1065-1079, 2016. 

  • Directive contrast based multimodal medical image fusion in NSCT domain, G Bhatnagar, QMJ Wu, Z Liu, IEEE Transactions on Multimedia 15 (5), 1014-1024, 2013. 

  • Discrete fractional wavelet transform and its application to multiple encryption, G Bhatnagar, QMJ Wu, B Raman, Information Sciences 223, 297-316, 2013. 

  • Local mesh patterns versus local binary patterns: biomedical image indexing and retrieval, S Murala, QMJ Wu, IEEE journal of biomedical and health informatics 18 (3), 929-938, 2013. 

  • Local mesh patterns versus local binary patterns: biomedical image indexing and retrieval, S Murala, QMJ Wu, IEEE journal of biomedical and health informatics 18 (3), 929-938, 2013. 

  • A nonsymmetric mixture model for unsupervised image segmentation, TM Nguyen, QMJ Wu, IEEE transactions on cybernetics 43 (2), 751-765, 2013. 

  • Bounded asymmetrical student's-t mixture model for background suppression, D Mukherjee, QMJ, Wu, TM Nguyen, IEEE Transactions on Image Processing 22 (12), 5022-5035, 2013. 

  • Multiresolution based Gaussian mixture model for background suppression, D Mukherjee, QMJ Wu, TM Nguyen, IEEE Transactions on Image Processing 22 (12), 5022-5035, 2013. 

  • Gaussian mixture model with advanced distance measure based on support weights and histogram of gradients for background suppression, D Mukherjee, QMJ Wu, TM Nguyen, IEEE Transactions on Industrial Informatics 10 (2), 1086-1096, 2013. 

  • Fast and robust spatially constrained Gaussian mixture model for image segmentation, TM Nguyen, QMJ Wu, IEEE transactions on circuits and systems for video technology 23 (4), 621-635, 2012. 

  • Gaussian-mixture-model-based spatial neighborhood relationships for pixel labeling problem, TM Nguyen, QMJ Wu, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 (1), 193-202, 2011. 

  • Robust student's-t mixture model with spatial constraints and its application in medical image segmentation, TM Nguyen, QMJ Wu, IEEE Transactions on Medical Imaging 31 (1), 103-116, 2011.  

  • Incorporating mean template into finite mixture model for image segmentation, H Zhang, QMJ Wu, TM Nguyen, IEEE transactions on neural networks and learning systems 24 (2), 328-335, 2012. 

  • An extension of the standard mixture model for image segmentation, N Nguyen, QMJ Wu, S Ahuja, IEEE Transactions on Neural Networks 21 (8), 1326-1338, 2010. 

  • Quasi-perspective projection model: Theory and application to structure and motion factorization from uncalibrated image sequences, G Wang, QMJ Wu, International journal of computer vision 87 (3), 213-234, 2010. 



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