David Clausi | PhD PEng SM-IEEE FAAIA FCAE

David Clausi | PhD PEng SM-IEEE FAAIA FCAE
Professor, Associate Dean - Research & External Partnerships
Location: EC4 2039, E7 7426
Phone: 519-888-4567 x32604, 519-888-4567 x42604
Status: Active

Biography

David Clausi is a Professor at the University of Waterloo in the Department of Systems Design Engineering as well as the Associate Dean - Research and External Partnerships in the Faculty of Engineering.
His research interests lie in computer vision, image processing, and pattern recognition with an emphasis on the automated interpretation of satellite imagery.
Professor Clausi is a multidisciplinary researcher, publishing refereed journal and conference papers in the diverse fields including remote sensing, computer vision, and algorithm design. His research work has led to successful commercial implementations including the creation and selling of a startup company (CREZ). After successful product deployment and sales, CREZ was purchased by Pointstreak Sports Technologies in 2011.
As of result of his teaching and research work, Professor Clausi has received multiple awards including the “Research Excellence and Service to the Research Community” award from the Canadian Image Processing and Pattern Recognition Society (CIPPRS). He has also received numerous Outstanding Performance Awards and Distinguished Performance Awards as well as two teaching awards (Sanford Fleming Teaching Excellence Award. University of Calgary Teaching Excellence Award).

Research Interests

  • Computer Vision, Remote Sensing Systems, Sports Analytics, Sea Ice Monitoring, Artificial Intelligence, Machine Learning, Digital Image Processing, Pattern Recognition, Satellite Imagery, Signal Processing

Education

  • 1996, Doctorate Systems Design Engineering, University of Waterloo, Ontario
  • 1992, Master's Systems Design Engineering, University of Waterloo, Ontario
  • 1990, Bachelor's Systems Design Engineering, University of Waterloo, Ontario

Service

  • 2019 - date Associate Dean - Research and External Partnerships, Faculty of Engineering
  • 2009 - 2012 Associate Chair - Graduate, Systems Design Engineering

Professional Associations

  • PEng
  • FCAE
  • FAAIA

Teaching*

  • SYDE 121 - Digital Computation
    • Taught in 2017
  • SYDE 575 - Image Processing
    • Taught in 2017, 2018, 2019, 2020, 2021
  • SYDE 633 - Remote Sensing Systems
    • Taught in 2017, 2018

* Only courses taught in the past 5 years are displayed.

Selected/Recent Publications

  • *Vats, K; Walters, P; *Fani, M; Clausi, D; Zelek, J (2023), Player tracking and identification in ice hockey, Expert Systems with Applications, Volume 213, Issue C.
  • *Taleghanidoozdoozan, S; Xu, L; Clausi, D (2022), Oil spill candidate detection using a conditional random field model on simulatedcompact polarimetric imagery, Canadian Journal of Remote Sensing, Volume 48, Issue 3, 425-440.
  • *Fang, Y; Xu, L; Wong, A., Clausi, D (2022), Multi-temporal Landsat-8 images for theretrieval and mapping of the copper concentration in soil using empiricalmodels, Remote Sensing, Volume 14, Issue 10.
  • *Fang, Y; Xu, L; Wong, A; Clausi, A (2022), A Bayesian deep imageprior downscaling approach for high-resolution soil moisture estimation, Remote Sensing, Volume 15, 4571-4582.
  • *Wu, Y; Xu, L; Chen, Y; Wong, A; Clausi, D (2022), TAL:Topography-aware multi-resolution fusion learning for enhanced buildingfootprint extraction, IEEE Geoscience and Remote Sensing Letters, Volume 19, 1-5.
  • *Lee, P; Xu, L; Clausi, D (2022), Estimating noise floor in Sentinel-1 images withlinear programming and least squares, IEEE Transactions on Geoscience and Remote Sensing, Volume 60.
  • *Jiang, M; Clausi, D; Xu, L (2022), Sea ice mapping of RADARSAT-2 imagery by integrating spatial context with textural features, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 15, 7964-7977.
  • *Fang, Y; Wang, Y; Xu, L; Zhuo, R; Wong, A; Clausi, D (2022), BCUN: Bayesian fully convolutional neuralnetwork for hyperspectral spectral unmixing, IEEE Transactions on Geoscience and Remote Sensing, Volume 60, 1-14.
  • Jiang, M; Clausi, D; Xu, L (2022), Sea ice-water classification of RADARSAT-2 imagery based on residual neural networks (ResNet) with regional pooling, Remote Sensing, Volume 14, Issue 13.
  • *Lee, PQ, *Radhakrishnan, K; Clausi, DA; Scott, A; Xu, L; Marcoux, M (2021), Beluga whale detection in the Cumberland Sound Bay using convolutional neural networks, Canadian Journal of Remote Sensing, Volume 47, Issue 2, 276-294.
  • *Radhakrishnan, K,; Scott, KA; Clausi, DA (2021), Sea ice concentration estimation: Using passive microwave and SAR data with a U-net and curriculum learning, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 14, 5339-5351.
  • *Ghanbari, M; Clausi, DA; Xu, L (2021), CP-IRGS: A region-based segmentation ofmulti-look complex compact polarimetric SAR data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 14, 6559-6571.
  • *Vats, K; **Fani, M; Clausi, D; Zelek, J, Multi-tasklearning for jersey number recognition in ice hockey, 4th international ACM Workshop on Multimedia Content Analysis in Sports, Chengdu, 2021.
  • *Fani, M; *Walter, PB; Clausi, DA; Zelek, J; Wong, A, Localization of ice-rink for broadcast hockey videos, Women in Computer Vision Workshop in conjunction with Computer Vision and Pattern Recognition 2021, Virtual, 2021.
  • *Vats, K; *Fani, M; Clausi, DA; Zelek, J, Puck localization and multi-task event recognition in broadcast hockey videos, 7th International Workshop on Computer Vision in Sports (CVsports 2021) held at 2021 Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, 2021.
  • *Asadi, NK; Scott, A; Komarov, AS; Buehner, M; Clausi, DA (2020), Evaluation of a neural network with uncertainty for detection of ice and water in SAR imagery, IEEE Transactions on Geoscience and Remote Sensing.
  • Chen, Y; Xu, L; Fang, Y; Peng, J; Yang, W; Wong, A; Clausi, D.A. (2020), Unsupervised Bayesian subpixel mapping of hyperspectral imagery based on band-weighted discrete spectral mixture model and Markov random field, IEEE Geoscience and Remote Sensing Letters.
  • Yang, L; Xu, L; Peng, J; Song, Y; Wong, A; Clausi, DA (2020), Nonlocal band-weighted iterative spectral mixture model for hyperspectral imagery denoising, IEEE Trans. Geosci. Remote Sensing, Volume 58, Issue 8, 1558-5601.
  • *Lee, PQ; Xu, L; Clausi, DA (2020), Sentinel-1 additive noise removal from cross-polarization extra-wide TOPSAR with dynamic least-squares, Remote Sensing of Environment.
  • *Hoekstra, M; *Jiang, M; Clausi, DA; Duguay, C (2020), Lake ice-water classification of RADARSAT-2 images by integrating IRGS segmentation with pixel-based random forest labeling, Remote Sensing, Volume 12, Issue 9.
  • Vats, K; Fani, M; Walters, PB; Clausi, DA; Zelek, J, Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolution, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, virtual, 882-883, 2020.
  • *Walters, P; Clausi, DA; Wong, A; *Fani, M;, BenderNet and RingerNet: Highly efficient line segmentation deep neural network architectures for ice rink localization, 6th Annual Conference on Vision and Intelligent Systems (CVIS), Waterloo, ON, Journal of Computational Vision and Imaging Systems, 2020.
  • *Walters, P; *Fani, M; Clausi DA; Wong, A, A tool for annotating homographies from hockey broadcast video., 6th Annual Conference on Vision and Intelligent Systems (CVIS), Waterloo, ON, Journal of Computational Vision and Imaging Systems, 2020.
  • Ghanbari, M; Clausi, DA; Xu, L; Jiang, M, Unsupervisedsegmentation of multilook compact polarimetric SAR data based on complexWishart distribution, IGARSS 2020 - International Geoscience and Remote Sensing Symposium, virtual, 2020.
  • Lee, PQ; Xu, L; Clausi, DA, RecalibratingSentinel-1 additive noise-gain with linear programming, IGARSS 2020 - International Geoscience and Remote Sensing Symposium, virtual, 2020.
  • *Vats, K; *Fani, M.; Clausi, DA; Zelek, J, Puck tracking and multi-task event recognition in broadcast hockey videos, 7th International Workshop on Computer Vision in Sports (CVsports) at 2021 Conference on Computer Vision and Pattern Recognition, Virtual, 2020.
  • *Vats, K; *McNally, W; *Duhlanty, C; *Lin ZQ; Clausi, DA; Zelek, J, PuckNet: Estimating hockey puck location from broadcast video, AI in Team Sports Workshop, Association for the Advancement of Artificial Intelligence (AAAI), New York, 2020.
  • *Ghanbari, M, Clausi DA, Xu L, *Jiang M (2019), Contextual classification of sea-ice types using compact polarimetric SAR data, IEEE Trans. Geosci. Remote Sensing, Volume 57, Issue 10, 7476-7491.
  • *Asadi N, Scott AS, Clausi DA (2019), Assimilation of ice thickness observations usinga regularization framework, Tellus A: Dynamic Meteorology and Oceanography, Volume 71.
  • Zhong Z., Li J, Wong A, Clausi DA (2019), Generative adversarial networks and conditional random fields for hyperspectral image classification, IEEE Trans. on Cybernetics, Volume 50, Issue 7, 3318-3329.
  • Kumar D, *Sankar V, Clausi DA, Taylor GW, Wong A (2019), SISC: End-to-end interpretable discovery radiomics-driven lung cancer prediction via stacked interpretable sequencing cells, IEEE Access, Volume 7, Issue 1, 145444-145454.
  • Wang C, Xu L, Clausi DA, Wong A (2019), A Bayesian joint decorrelation and despeckling of SAR imagery, IEEE Geoscience and Remote Sensing Letters, Volume 16, Issue 9, 1393-1397.
  • Fani, M; Vats, K; Dulhanty, C; Clausi, DA; Zelek, J, Pose-protectedaction recognition hourglass network (PARHN) in soccer, 16th Conference on Computer and Robot Vision (CRV), Kingston, ON, 2019.
  • *Walter, P; Clausi, DA; Wong, A, Sportsfield localization using memory networks, 5th Annual Conference on Vision and Intelligent Systems (CVIS), Waterloo, ON, Journal of Computational Vision and Imaging Systems, 2019.
  • Xu L, Fang Y, Wong A, Clausi DA, A Python-based batch-processing Photoscan plugin for fast stitching large-volumeUAV snapshot hyperspectral images, Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Amsterdam, 2019.
  • Fang Y, Hu A, Xu L, Wong A, Clausi DA, Estimation of iron concentration in soil of a mining area from UAV-based hyperspectralimagery, Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Amsterdam, 2019.
  • Xu L, Fang Y, Wong A, Clausi DA, Unsupervised feature learning via deep stacked autoencoder for improved LUT inversion of biochemical and biophysical parameters using PROSAIL model., Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Amsterdam, 2019.
  • Vats, K; Neher, H; Wong, A; Clausi, DA; Zelek, J, KPTransfer: improved performance and faster convergence from keypoint subset-wise domain transfer in humanpose estimation. 2019, Waterloo, Canada, 16th International Conference on Image Analysis and Recognition (ICIAR), Waterloo, ON, 2019.
  • Cai, Z; Neher, H; Vats K; Clausi, DA; Zelek, J, Temporal hockey action recognition via pose and optical flows, 5th International Workshop on Computer Vision in Sports (CVsports) at Compute Vision and Pattern Recognition (CVPR), Long Beach, 2019.
  • Vats, K; Neher, H; Clausi, DA; Zelek, J, Two-stream action recognition in ice hockey using player pose sequences and optical flows, 16th Annual Conference on Computer and Robot Vision (CRV), Kingston, ON, 2019.
  • *Fang Y, **Xu L, Peng J, Yang H, Wong A, Clausi D.A (2018), Unsupervised Bayesian classification of hyperspectral image based on spectral model and Markov random field, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 11, Issue 9, 3325-3337.
  • *Wang J, Duguay CR, Clausi DA, Pinard V, Howell SEL (2018), Semi-automated classification of lake ice cover using dual polarization RADARSAT-2 imagery, Remote Sensing, Volume 10.
  • *Li, F., *Xu, L., Wong, A., Clausi, D.A. (2018), ST-IRGS: A region-based self-training algorithm applied to hyperspectral image classification and segmentation, IEEE Transactions on Geoscience and Remote Sensing, Volume 56, Issue 1, 3-16.
  • *Fang Y, **Xu L, Peng J, Wang H, Wong A, Clausi D.A. (2018), Retrieval and mapping of heavy metal concentration in soil using time series LANDSAT 8 imagery, International Archives of the Photogrammetry, Remote Sensing and Spatial Sciences, Volume 24, Issue 3, 335-341.
  • Wang J, Duguay CR, Clausi DA, Pinard V, Howell SEL (2018), Semi-automated classification of lake ice coverusing dual polarization RADARSAT-2 imagery, Remote Sensing, Volume 10, Issue 1727.
  • *Yang Y, Xu L, Peng J, Clausi DA, Spatial autocorrelation guided principalcomponent selection for unsupervised classification of hyperspectral imagery, 10th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2018), Bejing, 2018.
  • Montpetit B, Deschamps B, Howell S, Clausi DA, Shafiee MJ, Duffe J, Flett, D, Using a convolutional neural network to monitor sea ice conditions from different C-band SAR platforms, 39th Canadian Symposium on Remote Sensing, Saskatoon, 2018.
  • Ma A, Wong A, Clausi DA, Deep learning-driven depth from defocus via active multispectral quasi-random projections with complex subpatterns, Canadian Conference on Computer and Robot Vision, Toronto, 2018.
  • Neher, H; Vats, K; Wong, A; Clausi, DA, HyperStackNet: A hyper stacked hourglass deep convolutional neural network architecture for joint player and stick pose estimation in hockey, Canadian Conference on Computer and Robot Vision, Toronto, 2018.
  • Amelard R, Pfisterer KJ, Jagani S, Clausi DA, Wong A, Non-contact assessment of obstructive sleepapnea cardiovascular biomarkers using photoplethysmography imaging, Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics, San Francisco, 2018.
  • Cao Y, Xu L, Clausi DA (2017), Exploring the potential of active learning for automatic identification of marine oil spills using 10-year (2004-2013) RADARSAT data, Remote Sensing, Volume 9.
  • Wang L, Scott KA, Clausi DA (2017), Sea ice concentration estimation during freeze-up from SAR imagery using a convolutional neural network, Remote Sensing, Volume 9, Issue 5.
  • *Fani M, Yazdi M, Clausi DA, Wong A (2017), Soccer video structure analysis by parallel feature fusion network and hidden-to-observable, IEEE Access, Volume 5, 27322 – 27336.
  • Gunn GE, Duguay CR, Derksen C, Clausi DA, Toose P (2017), Investigating the influence of variable freshwater ice types on passive and active microwave observations, Remote Sensing, Volume 9, Issue 12.
  • Amelard R, Hughson RL, Greaves DK, Clausi DA, Wong A, Assessing photoplethysmographic imaging performance beyond facial perfusion analysis, Proc. SPIE 10072 Optical Diagnostics and Sensing XVII: Toward Point-of-Care Diagnostics, San Francisco, 2017.
  • Wang L, Scott KA, Clausi DA, Xu L, Ice concentration estimation in the Gulf of St. Lawrence using fully convolutionalneural network, International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, 2017.
  • Cho DA, Khalvati F, Clausi DA, Wong A, A machine learning-driven approach to computational physiological modeling of skin cancer, International Conference on Image Analysis and Recognition, Montreal, 2017.
  • Amelard R, Hughson RL, Clausi DA, Wong A, Non-contact arrhythmia in natural settings: A steptoward preventive cardiac care, Proc. SPIE 10042, Diagnostic and Therapeutic Applications of Light in Cardiology, San Francisco, 2017.
  • Ma A, Wong A, Clausi DA, Depth from defocus via active multispectral quasi-random point projections using deeplearning, 3rd Annual Conference of Computational Vision and Imaging Systems, Waterloo, 2017.
  • Fani M, Neher H, Clausi DA, Wong A, Zelek J, Hockey activity recognition via integrated stacked hourglass network, IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 3rd IEEE International Workshop on Computer Vision in Sports (CVsports), Hawaii, 2017.
  • Hoekstra M, Duguay C, Clausi DA, Automated ice-water classification on large northern lakes using RADARSAT-2 SAR imagery, EO Summit, Montreal, 2017.
  • Wang J, Duguay C, Clausi DA, Jiang M, Stone M, Lake Erie ice classification using dual polarization RADARSAT-2 imagery, EO Summit, Montreal, 2017.
  • Ghanbari M, Xu L, Jiang M, Clausi DA, Assessment of compact polarimetric SAR imagery for automated sea-ice mapping, 39th Canadian Symposium on Remote Sensing, Saskatoon, Saskatoon, 2017.
  • Neher H, Fani M, Clausi DA, Wong A, Zelek J, Pose estimation of players in hockey videos using deep learning, 3rd Annual Hockey Analytics Conference, Ottawa, 2017.
  • Amelard R, Pfisterer KJ, Jagani S, Clausi DA, Wong A, Non-contact assessment of obstructive sleepapnea cardiovascular biomarkers using photoplethysmography imaging, Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics, San Francisco, 2017.
  • *Amelard, R., Hughson, R.L., Greaves, D.K., Pfisterer, K.J., Leung, J., Clausi, D.A., and Wong, A. (2016), Non-contact hemodynamic imaging reveals the jugular venous pulse waveform, Science Reports, Volume 7.
  • *Li, F., **Sekkati, H., *Deglint, J., **Scharfenberger, C., Lamm, M., Clausi, D.A., Zelek, J., and Wong, A. (2016), Simultaneous projector-camera self-calibration for 3D reconstruction and projection mapping, IEEE Transactions on Computational Imaging, Volume 3, Issue 1, 74-83.
  • *Deglint, J., Cameron, A., **Scharfenberger, C., **Sekkati, H., Lamm, M., Wong, A., Clausi, D.A. (2016), Auto-calibration of a projector camera stereo system for projection mapping, Journal of the Society for Information Display, Volume 24, Issue 8, 510-520.
  • **Xu, L., Clausi, D.A., *Li, F., and Wong, A. (2016), Weakly-supervised classification of remotely sensed imagery using label constraint and edge penalty, IEEE Transactions on Geoscience and Remote Sensing, Volume 55, Issue 3, 1424-1436.
  • *Amelard, R., Clausi, D.A., Wong, A. (2016), Spatial probabilistic pulsatility model for enhancing photoplethysmographic imaging systems, Journal of Biomedical Optics, Volume 21, Issue 11.
  • *Wang, L., Scott, K.S., and Clausi, D.A. (2016), Improved sea ice concentration estimation through fusing classified SAR imagery and AMRS-E data, Canadian Journal of Remote Sensing, Volume 42, Issue 1, 41-52.
  • *Deglint, J., *Kazemzadeh, F., *Cho, D., Clausi, D.A., Wong, A (2016), Numerical demultiplexing of color image sensor measurements via non-linear random forest modelling, Scientific Reports, Volume 6.
  • **Xu, L., Wong, A., Clausi, D.A. (2016), A novel Bayesian spatial-temporal random field model applied to cloud detection from remotely sensed imagery, IEEE Transactions on Geoscience and Remote Sensing, Volume 55, Issue 9, 4913-4924.
  • **Xu,L., Wong, A., Clausi, D.A. (2016), An enhanced probabilistic posterior sampling approach for synthesizing SAR imagery with sea ice and oil spills, IEEE Geoscience and Remote Sensing Letters, Volume 14, Issue 2, 188-192.
  • *Wang, L., Scott, K.A., **Xu., L., Clausi, D.A. (2016), Sea ice concentration estimation during melt from dual-polarized SAR images using deep convolutional networks: A case study, IEEE Transactions on Geoscience and Remote Sensing, Volume 54, Issue 8, 4524-4533.
  • **Xu, L., Shafiee, M.J., Wong, A., Clausi, D.A. (2016), 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 (J-STARS), Volume 9, Issue 7, 2882-2890.
  • Amelard, R., Clausi, D.A., Wong, A. (2016), A spectral-spatial fusion model for robust blood pulse waveform extraction in photoplethysmographic imaging, Biomedical Optics Express, Volume 7, Issue 12, 4874-4885.
  • Wang, J., Duguay, CR, Clausi, DA, Great lakes ice classification using dual polarization Sentinel-1 SAR imagery, American Geophysical Union, San Francisco, USA, 2016.
  • Hoekstra MJ, Duguay CR, Clausi DA, Automated lake ice/water classification of dual polarization RADARSAT-2 SAR imagery with iterative region growing with semantics (IRGS) algorithm, American Geophysical Union, San Francisco, 2016.
  • Zuj KA, Deglint J, Gawish A, Wong A, Clausi DA, Hughson RL, A new software for determining changes in arterial diameter over time., 6th Annual Meeting of North American Artery, Chicago, IL, 2016.
  • Boroomand, A., Sekkati, H., Lamm, M., Clausi, D.A., Wong, A., Saliency-guided projection geometric correction using a projector-camera system., International Conference on Image Processing (ICIP), Phoenix, 2016.
  • *Chwyl, B., Chung, A., *Amelard, R., *Deglint, J., Clausi, D.A., and Wong, A, SAPPHIRE: Stochastically acquired photoplethysmogram for heart rate inference in realistic environments, International Conference on Image Processing (ICIP), Phoenix, 2016.
  • *Kasiri, K., Fieguth, P., and Clausi, D.A., Self-similarity measure for multi-modal image registration, International Conference on Image Processing (ICIP), Phoenix, 2016.
  • Karimi, A.-H., Shafiee, M.J., **Scharfenberger, C., BenDaya, I., *Haider, S., Talukdar, N., Clausi, D.A and Wong, A., Spatio-temporal saliency detection using abstracted fully-connected graphical models, International Conference on Image Processing (ICIP), Phoenix, 2016.
  • *Kariri, K., Fieguth, P., and Clausi, D.A., Sorted self-similarity for multi-modal image registration, Engineering in Medicine and Biology (EMBC), Florida, 2016.
  • **Cao, Y., **Xu, L., and Clausi, D.A., Active learning for identifying marine oil spills using 10-year RADARSAT data, IEEE Geoscience and Remote Sensing Symposium, Beijing, 2016.
  • Gawish, A., **Scharfenberger, C., **Bi,H., Wong, A., Fieguth, P., and Clausi, D.A., Robust non-saliency guided watermarking, Computer and Robot Vision (CRV), Victoria, BC, 2016.
  • *Chwyl, B., Chung, A.G., *Amelard, R., *Deglint, J., Clausi, D.A., Wong, A., Time-frequency domain analysis via pulselets for non-contact heart rate estimation from remotely acquired photoplethysmograms, Computer and Robot Vision (CRV), Victoria, BC, 2016.
  • Kasiri, K., Clausi, DA, Fieguth, P., Cross modality label fusion in multi-atlas segmentation of brain MRI, Imaging Network Ontario, Toronto, 2016.
  • *Kasiri, K., **Sekkati, H., Clausi, DA, Quality assessment in digital pathology images, Imaging Network Ontario, Toronto, 2016.
  • *Amelard. R., Clausi, DA, Wong, A., Coded hemodynamic imaging for non-contact detection of abnormal blood pulse waveforms, Imaging Network Ontario, Toronto, 2016.
  • *Chwyl, B., Chung, A.G., Wong, A., and Clausi, D.A. (2015), Remote heart rate measurement through broadband video via stochastic Bayesian estimation, Vision Letters, Volume 1, Issue 1.
  • *Li, F., **Xu, L., Wong, A., Clausi, D.A (2015), Feature extraction for hyperspectral imagery via ensemble localized manifold learning, IEEE Geoscience Remote Sensing Letters, Volume 12, Issue 12, 2486-24990.
  • **Xu, L., *Li, F., Wong, A., and Clausi, D.A (2015), Hyperspectral image denoising using a spatial-spectral Monte Carlo sampling approach, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 8, Issue 6, 3025-3038.
  • *Li, F. Clausi, D.A., and Wong, A. (2015), Classification of surficial material in the Umiujalik Lake region using RADARSAT-2 polarimetric, LANDSAT-7 images, and DEM data, Canadian Journal of Remote Sensing, Volume 41, Issue 1, 29-39.
  • *Li, F., **Xu, L., **P. Siva, Wong, A., and Clausi, D.A. (2015), Hyperspectral image classification with limited labeled training samples using enhanced ensemble learning and conditional random fields, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 8, Issue 6, 2427-2438.
  • **Xu, L., Wong, A., *Li, F., Clausi, D.A. (2015), Extraction of end members from hyperspectral images using a weighted fuzzy purified-means clustering model, Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), Volume 9, Issue 2, 695-707.
  • Lui, D., Scharfenberger, C., Fergani, K., Wong, A., and Clausi, D.A (2015), Enhanced decoupled active contour using structural and textural variation energy functionals., IEEE Trans. Image Processing, Volume 23, Issue 2, 855-869.
  • Amelard, R., Glaister, J., Wong, A., and Clausi, D.A. (2015), High-level intuitive features (HLIFs) for intuitive skin lesion description, IEEE Transactions on Biomedical Engineering, Volume 62, Issue 3, 820-831.
  • Scharfenberger, C., Wong, A., and Clausi, D.A. (2015), Structure-guided statistical texture distinctiveness for salient region detection in natural images, IEEE Trans. Image Processing, Volume 24, Issue 1, 457-470.
  • *Li, F., **Xu, L., Wong, A., Clausi, D.A. (2015), QMCTLS: Quasi Monte Carlo texture likelihood sampling for despeckling of complex polarimetric SAR images, IEEE Geoscience and Remote Sensing Letters, Volume 12, Issue 7, 1566-1570.
  • *Amelard, R., **Scharfenberger, C., *Kazemzadeh, F., Pfisterer, K.J., Lin, B.S., Wong, A., Clausi, D.A. (2015), Feasibility of long-distance heart rate monitoring using transmittance photplethysmographic imaging (PPGI), Scientific Reports, Volume 5, Issue 14637.
  • **Scharfenberger, C., Chung, A.G., Wong, A., Clausi, D.A. (2015), Salient region detection using self-guided statistical non-redundancy in natural images, IEEE Access, Volume 4.
  • *Schwartz, S., Wong, A., Clausi, D.A. (2015), Optimized sampling distribution based on nonparametric learning for improved compressive sensing performance, Journal of Visual Communication and Image Representation, Volume 31, Issue August, 26-40.
  • Kazemzadeh F, Jin C, Mei Y, Amelard, R, Haider S, Saini S, Emelko MB, Clausi DA, Concurrent fluorescence macro-imaging acrossmultiple spectral regions in the visible and near infrared, SPIE Optical Engineering + Applications, Novel Optical Systems Design and Optimization XVIII, San Diego, 2015.
  • Kazemzadeh F, Haider S, Jin C, Clausi DA, Wong A, Concurrent fluorescence macro-imaging across multiple spectral regions in the visible and near infrared, SPIE Optical Engineering + Applications, Novel Optical Systems Design and Optimization XVIII, Proc. Of SPIE, San Diego, 2015.
  • Mishra, A., **Scharfenberger, C., **Siva, P., *Li, F., Wong, A. Clausi, D.A., DESIRE: Discontinuous energy seam carving for image retargeting via structural and textural energy functionals, International Conference on Image Processing (ICIP), Quebec, 2015.
  • *Chwyl, B., Li, F., Chung, A., Wong, A., Clausi, D.A., TIGER: A texture-illumination guided energy response model for illumination robust local saliency, International Conference on Image Processing, Quebec City, 2015.
  • *Deglint, J., F. *Kazemzadeh, A. Wong, and D. A. Clausi, Inference of dense spectral reflectance images fromsparse reflectance measurement using non-linear regression modeling, SPIE Optics and Photonics, Applications of Digital Image Processing XXXVIII, 2015.
  • *Cho, D.S., *Haider, S., *Amelard, R., Wong, A. and Clausi, D.A, Physiological characterization of skin lesion using non-linear random forest regression model., 36th Annual International IEEE Engineering in Medicine & Biology Society (EMBC) 2014 Conference, Chicago, 2015.
  • *Kasiri, K., Clausi, D.A., and Fieguth, P., Multi-modal image registration using structural features, 36th Annual International IEEE Engineering in Medicine & Biology Society (EMBC) 2014 Conference, Chicago, 2015.
  • *Haider, S., *Cho, D.S., *Amelard, R., Wong, A. and Clausi, D.A., Enhanced classification of malignant melanoma lesions via the integration of physiological features from dermatological photographs, 36th Annual International IEEE Engineering in Medicine & Biology Society (EMBC) 2014 Conference, Chicago, 2015.
  • *Deglint, J., F. *Kazemzadeh, M. J. Shafiee, *E. 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, California, 2015.
  • *Kasiri, K., Fieguth, P., and Clausi, D.A., Structural representations for multi-modal image registration based on modified entropy, International Conference on Image Analysis and Recognition, Niagara Falls, 2015.
  • *Kumar, D., Wong, A., and Clausi, D.A., Lung nodule classification using deep features in CT images, Canadian Conference on Computer and Robot Vision, Halifax, 2015.
  • *Zhu, M. X., **Scharfenberger, C., Wong, A., and Clausi, D.A., Simultaneous scene reconstruction and auto-calibration using constrained iterative closest point for 3D depth sensor array, 12th Conference on Computer and Robot Vision, Halifax, 2015.
  • *Deglint, J., Cameron, A., **Scharfenberger, C., Lamm, M., Wong, A., Clausi, D.A., Auto-calibration for screen correction and point cloud generation, Society for Information Display’s (SID) Display Week, San Jose, 2015.
  • *Li, F. and Clausi, D.A., A semi-supervised approach for ice-water classification using dual-polarization SAR satellite imagery, Computer Vision and Pattern Recognition (CVPR) Workshop on EARTHVISION, Boston, 2015.
  • *Cho, D.S., *Haider, S., *Amelard, R., Wong, A., Clausi, D.A., Quantitative features for computer-aided melanoma classification using spatial heterogeneity of eumelanin and pheomelanin concentrations, IEEE International Symposium on Biomedical Imaging, Brooklyn, 2015.
  • *Haider, S., *Glaister, J., Wong, A., Clausi, D.A., Restoration of block-transform compressed images via homotopic regularized sparse reconstruction, Intelligent Robots and Computer Vision XXXII: Visual Information Processing and Communication VI, IS&T/SPIE Electronic Imaging 2015, IS&T/SPIE Electronic Imaging 2015, California, 2015.
  • *Haider, S., **Scharfenberger, C., *Kazemzadeh, F., Wong, A., Clausi, D.A, Multi-polarimetric textural distinctiveness for outdoor robotic saliency detection., Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques, IS&T/SPIE Electronic Imaging 2015, San Francisco, 2015.
  • *Amelard, R., Wong, A., Clausi, D.A., Non-contact hematoma damage and healing assessment using reflectance photoplethysmographic imaging, SPIE BiOS – Multimodal Biomedical Imaging XI, San Francisco, 2015.
  • *Amelard, R., Wong, A., Clausi, D.A., Spectral photoplethysmographic imaging sensorfusion for enhanced heart rate detection, SPIE BiOS – Multimodal Biomedical Imaging XI, San Francisco, 2015.
  • *Amelard, R., **Scharfenberger, C., Wong, A., Clausi, D.A., Non-contact assessment of melanin distribution viamultispectral temporal illumination coding, SPIE BiOS, San Francisco, 2015.
  • Chung, A., Wang, Xiao Yu, *Amelard, R., **Scharfenberger, C., Leong, J., Wong, A., Clausi, D.A., High resolution motion-compensated photoplethsmographic imaging for remote heart rate monitoring, SPIE BiOS, San Francisco, 2015.
  • *Amelard, R., **Scharfenberger, C., Wong, A., and Clausi, D.A., Illumination-compensated non-contact imaging photoplethysmography via dual-mode temporally-coded illumination, SPIE BiOS, San Francisco, 2015.
  • *Deglint, J., A. Chung, *B. Chwyl, *R. Amelard, *F. Kazemzadeh, X. Wang, D. A. Clausi, and A. Wong, Photoplethysmographic imaging via spectrally demultiplexed erythema fluctuation analysis for remote heart rate monitoring, SPIE Photonics West 2015, San Francisco, 2015.
  • *Kazemzadeh, F., *Haider, S.A., **Scharfenberger, C., Wong, A., and Clausi, D.A. (2014), Multispectral stereoscopic imaging: Simultaneous multiview imaging from visible to the near-infrared, IEEE Transactions on Instrumentation and Measurement., Volume 63, Issue 7, 1871-1873.
  • *Leigh, S., **Wang, Z., Clausi, D.A. (2014), Automated ice-water classification using dual polarization SAR satellite imagery, IEEE Transactions on Geoscience and Remote Sensing, Volume 52, Issue 9, 5529-5539.
  • *Glaister, J., Wong, A., and Clausi, D.A. (2014), Segmentation of skin lesions from digital images using joint statistical texture distinctiveness, IEEE Transactions on Biomedical Engineering, Volume 61, Issue 4, 1220-1230.
  • *Kazemzadeh, F., *Haider, S.A., ** Scharfenberger, C., Wong, A., and Clausi, D.A. (2014), Parallel spectral imaging: Simultaneous imaging from visible to the near-IR, IEEE Transactions on Instrumentation and Measurement, Volume 63, Issue 7, 1871-1873.
  • Lui, D., Fergani, K., **Scharfenberger, C., Wong, A., and Clausi, D.A. (2014), Hybrid structural and texture distinctiveness vector field convolution, Computer Vision and Image Understanding, Volume 125, Issue 8, 85-96.
  • *Cho, D.S., Wong, A., Callaghan, J.P., Yates, J., and Clausi, D.A (2014), Markov-chain Monte Carlo based image reconstruction for streak artifact reduction on contrast enhanced computer tomography, Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, Volume 2, Issue 2.
  • Das, A., Diu, M., Mathew, N., **Scharfenberger, C., Servos, J., Wong, A., Zelek, J.S., Clausi, D.A., and Waslander, S.L. (2014), Mapping, planning and detection strategies for autonomous exploration, Journal of Field Robotics, Volume 31, Issue 1, 75-106.
  • *Kasiri, K., Fieguth, P., and Clausi, D.A., Cross-modality label fusion in multi-atlas segmentation, International Conference on Image Processing, Paris, 2014.
  • *Kazemzadeh, F., Shafiee, M.J., Wong, A. and Clausi, D.A., Reconstruction of compressive multispectral sensing data using a multi-layered conditional random field approach, SPIE – Optics and Photonics, California, 2014.
  • *Leigh, S., **Wang, Z., and Clausi, D.A., Evaluation of MAGIC sea ice classifier on 61 dual polarization RADARSAT-2 scenes, IEEE International Geoscience and Remote Sensing Symposium, Quebec City, 2014.
  • *Li., F., Wong, A., and Clausi, D.A., Comparative study of feature space projection methods for hyperspectral image classification, IEEE International Geoscience and Remote Sensing Symposium, Quebec City, 2014.
  • *Kazemzadeh F, *Haider S, Wong A **Scharfenberger C, Clausi DA, Concurrent multi-view discrete spectral imaging device from the VIS to the NIR, SPIE – Optics and Photonics, San Diego, 2014.
  • *Kumar A, *Tung F, Wong A, Clausi DA (2013), A decoupled approach to illumination-robust optical flow estimation, IEEE Transactions on Image Processing, Volume 22, Issue 10, 4136-4147.
  • *Eichel, J., Wong, A., Clausi, D.A. and Fieguth, P. (2013), Robust spectral clustering using statistical sub-graph affinity model, PLOS ONE, Volume 8, Issue 12.
  • *Schwartz S, Liu C, Wong A, Clausi DA, Fieguth P, Bizheva K (2013), Energy-guided learning approach to compressive FD-OCT, Virtual Journal for Biomedical Optics, Volume 8, Issue 2.
  • Tang H, *Shen L, Qi Y, Chen Y, Shu Y, Li J, Clausi DA (2013), A multi-scale latent Dirichlet allocation model for object-oriented clustering of VHR panchromatic satellite images, IEEE Transactions on Geoscience and Remote Sensing, Volume 53, Issue 3, 1680-1692.
  • *Schwartz S, Liu C, Wong A, Clausi DA, Fieguth P, Bizheva K (2013), Energy-guided learning approach to compressive FD-OCT, Optics Express, Volume 21, Issue 1, 329-344.
  • *Wong A, *Mishra A, Fieguth P, Clausi DA (2013), Sparse reconstruction of breast MRI using homotopic L0 minimization in a regional sparsified domain, IEEE Transactions on Biomedical Engineering, Volume 60, Issue 3, 743-752.
  • *Glaister J, Wong A, Clausi DA (2013), Despeckling of synthetic aperture radar images using Monte Carlo texture likelihood sampling, IEEE Transactions on Geoscience and Remote Sensing, Volume 52, Issue 3, 1238-1248.
  • *Wang, L., Scott, A., and Clausi, D.A., Automatic feature learning of SAR images for sea ice concentration estimation using feed forward neural networks, IEEE International Geoscience and Remote Sensing Symposium, Quebec City, 2013.
  • *Li, F., Wong, A., and Clausi, D.A., A modified rotation forest algorithm for hyperspectral imagery classification with limited training samples, IEEE International Geoscience and Remote Sensing Symposium, Quebec City, 2013.
  • *Li., F., Wong, A., and Clausi, D.A., Comparison of unsupervised segmentation methods for surficial materials mapping in Nunavut, Canada using RADARSAT polarimetric, LANDSAT-7, and DEM data, IEEE International Geoscience and Remote Sensing Symposium, Quebec City, 2013.
  • *Li F, Clausi DA, Wong A, Separability measure and classification of surficial materials in the Umiujalik Lake area using RADARSAT-2 polarimetric and LANDSAT-7 images, and DEM data, 34th Canadian Symposium on Remote Sensing, 2013.
  • *Leigh S, **Wang Z, Clausi DA, Automated ice-water classification using dual polarization SAR imagery, 34th Canadian Symposium on Remote Sensing, 2013.
  • *Amelard R, Wong A, Clausi DA, Unsupervised classification of agricultural land cover using polarimetric synthetic aperture radar via a dictionary-based, multi-channel global texture model, IEEE International Geoscience and Remote Sensing Symposium, 2013.
  • *Amelard R, Wong A, *Li F, Clausi DA, Unsupervised classification of sea-ice and water using synthetic aperture radar via an adaptive texture sparsification transform, IEEE International Geoscience and Remote Sensing Symposium, 2013.
  • **Scharfenberger C, Wong A, Fergani K, Zelek JS, Clausi DA, Statistical textural distinctiveness for salient region detection in natural images, Computer Vision and Pattern Recognition, 2013.
  • *Scharfenberger C, Waslander S, Zelek JS, Clausi DA, Existence detection of objects in images for robot vision using saliency histogram features, Tenth Conference on Computer and Robot Vision, 2013.
  • *Amelard R, Wong A, Clausi DA, Unsupervised classification of sea-ice and water using synthetic aperture radar via an adaptive texture sparsification transform, IEEE International Geoscience and Remote Sensing Symposium, 2013.
  • *Amelard R, *Glaister J, Wong A, Clausi DA, Melanoma decision support using lighting-corrected intuitive feature models, 193-219, Springer, 2013.
  • *Schwartz S, Wong A, Clausi DA (2012), Saliency-guided compressive sensing approach to efficient laser range measurement, Journal of Visual Communication and Image Representation, Volume 4, 160-170.
  • *Ochilov S, Clausi DA (2012), Unsupervised operational SAR sea ice image classification, IEEE Transactions on Geoscience Remote Sensing, Volume 50, Issue 11, 4397-4408.
  • *Shabani A, Zelek JS, Clausi DA (2012), Multiple scale-specific representations for improved human action recognition, Pattern Recognition Letters, Volume 34, Issue 11, 1771-1779.
  • *Liu L, Fieguth P, Clausi DA, Kuang G (2012), Sorted random projections for robust rotation-invariant texture classification, Pattern Recognition, Volume 45, Issue 6, 2405-2418.
  • *Schwartz S, Wong A, Clausi DA (2012), Compressive fluorescence microscopy using saliency-guided sparse reconstruction ensemble fusion, Optics Express, Volume 20, Issue 16, 17281-17296.
  • *Glaister J, *Amelard R, Wong A, Clausi DA (2012), MSIM: Multi-stage illumination modeling (MSIM) of dermatological photographs for illumination-corrected skin lesion analysis, IEEE Transactions on Biomedical Engineering, Volume 60, Issue 7, 1873-83.
  • **Yang X, Clausi DA (2012), Evaluating SAR sea ice image segmentation using edge-preserving region-based MRFs, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Volume 5, Issue 5, 1383-1393.
  • *Yu P, **Qin K, Clausi DA (2012), Feature extraction of dual-pol SAR imagery for sea ice image segmentation, Canadian Journal of Remote Sensing, Volume 38, Issue 3, 352-366.
  • *Schwartz S, Wong A, Clausi D.A. (2012), Compressive fluorescence microscopy using saliency-guided sparse reconstruction ensemble fusion, Optics Express (also Virtual Journal for Biomedical Optics), Volume 20, Issue 16, 17281-17296.
  • *Yu P, **Qin AK, Clausi DA (2012), Unsupervised polarimetric SAR image segmentation and classification using region growing with edge penalty, IEEE Transactions on Geoscience and Remote Sensing, Volume 50, Issue 4, 1302-1317.
  • **Scharfenberger C, Chakraborty S, Zelek J, Clausi DA, Motion stereo-based collision avoidance for an intelligent smart car door system, Intelligent Transportation Systems Conference, 2012.
  • **Scharfenberger C, Chakraborty S, Zelek J, Clausi DA, Anti-trap protection for an intelligent smart car door system, Intelligent Transportation Systems Conference, 2012.
  • *Glaister J, Wong A, Clausi DA, Illumination correction in dermatological photographs using multi-state illumination modeling for skin lesion analysis, IEEE Engineering in Medicine and Biology Society (EMBC '12), 2012.
  • *Amelard R, Wong A, Clausi DA, Extracting morphological high-level intuitive features (HLIF) for enhancing skin lesion classification, IEEE Engineering in Medicine and Biology Society (EMBC '12), 2012.
  • *Schwartz S, Wong A, Clausi DA, Saliency-guided compressive fluorescence microscopy, IEEE Engineering in Medicine and Biology Society, 2012.
  • El-Hilo S, Zagon T, Isaacs D, Staples G, Clausi DA, Arkett M, Nadeau C, Supervised classification, concentration estimation and seasonal trend analysis of Arctic sea ice using RADARSAT-2, SEASAR - Advances in SAR Oceanography, 2012.
  • *Schwartz S, Wong A, Clausi DA, Multi-scale saliency-guided compressive sensing approach to efficient robotic range measurements, Ninth Conference on Computer and Robot Vision, 2012.
  • *Amelard R, Wong A, Clausi DA, Extracting high-level intuitive features (HLIF) for classifying skin lesions using standard camera images, Ninth Conference on Computer and Robot Vision, 2012.
  • **Scharfenberger C, Zelek J, Clausi DA, Robust body-height estimation for applications in automotive industry, Ninth Conference on Computer and Robot Vision, 2012.
  • *Cavan N, Clausi DA, *Shabani A,, Real-world tracking - human action recognition and 3d reconstruction from uncalibrated underwater ship video, GEOIDE Annual General Meeting, 2012.
  • Clausi DA, SAR sea-ice scene classification. Software demo, GEOIDE Annual General Meeting, 2012.
  • *Shabani A, Clausi DA, Zelek JS, Evaluation of local spatio-temporal salient feature detectors for human action recognition, Ninth Conference on Computer and Robot Vision, 2012.
  • *Zhang W, *Wong A, *Mishra A, Fieguth P, Clausi DA (2011), Efficient globally-optimal registration of remote sensing imagery via quasi-random scale space structural correlation energy functional, IEEE Geoscience and Remote Sensing Letters, Volume 8, Issue 5, 997-1001.
  • *Mishra A, Fieguth P, Clausi D.A . (2011), Decoupled active contour (DAC) for boundary detection, IEEE Transactions Pattern Analysis and Machine Intelligence, Volume 33, Issue 2, 310-324.
  • *Tung F, Zelek JS, Clausi DA (2011), Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance, Image and Vision Computing, Volume 29, Issue 4, 230-240.
  • *Wong A, *Mishra A, *Zhang W, Fieguth P, Clausi DA (2011), Stochastic image denoising based on Markov-chain Monte Carlo sampling, Signal Processing, Volume 91, Issue 18, 2112-2120.
  • Clausi DA, SAR lake ice cover classification using MAGIC, ESA STSE North Hydrology PDR Meeting, 2011.
  • Clausi DA, Wong A, Fieguth P, Vision and image processing (VIP) research group, WeInnovate, 2011.
  • *Leigh A, Wong A, Clausi DA, Fieguth P, Comprehensive analysis on the effects of noise estimation strategies on image noise artifact suppression performance, IEEE International Symposium on Multimedia (ISM2011), 2011.
  • *Mishra A, Wong A, Clausi DA, Fieguth PW, Multi-scale 3D representation via volumetric quasi-random scale space, 18th IEEE International Conference on Image Processing (ICIP 2011), 2011.
  • Clausi DA, MAGIC for SAR ice-water classification, Joint MDA/CIS/UW Workshop on Operational Ice Classification, 2011.
  • *Bandekar N, Wong A, Clausi DA, A novel approach to automated cell counting for studying human corneal epithelial cells, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'11), 2011.
  • *Kumar A, Wong A, *Mishra A, Clausi DA, Fieguth PW, Tensor vector field based active contours, 18th IEEE International Conference on Image Processing (ICIP 2011), 2011.
  • *Shabani AH, Clausi DA, Zelek JS, Improved spatio-temporal salient feature detection for action recognition, British Machine Vision Conference, 2011.
  • *Gignac C, Gauthier Y Bernier M, Clausi DA, SAR sea-ice classification of neighborhood of Nunavik marine infrastructures using RADARSAT-2, Conference on Port and Ocean Engineering under Arctic Conditions, 2011.
  • *Mishra A, Clausi DA, Fieguth P, From active contours to active surfaces, Computer Vision and Pattern Recognition (CVPR) Conference, 2011.
  • *Eichel JA, Clausi DA, Fieguth PW, Precise high-speed multi-target multi-sensor local positioning system, Eighth Canadian Conference on Computer and Robot Vision, 2011.
  • *Cavan N, Fieguth PW, Clausi DA, Autocalibration: Finding infinity in a projective reconstruction, Eighth Canadian Conference on Computer and Robot Vision, 2011.
  • *Bandekar N, Wong A, Clausi DA, Gorbet M, A novel approach to automated cell counting for studying human corneal epithelial cells, Graduate Student Research Conference 2011, 2011.
  • *Shabani A, Clausi DA, Zelek J, Human action recognition, Team Project Meeting for PIV17 GEOIDE Demo, 2011.
  • *Shabani A-H, Zelek J, Clausi DA, Robust local video events for improved action recognition, UW-Graduate Student Research Conference, 2011.
  • Clausi DA, MAGIC 2.0: MAp-Guided Ice Classification System (MAGIC), MDA/CIS/UW Workshop on Operational Ice Classification, 2011.
  • *Eichel J A, Lee D, Wong A, Fieguth P, Clausi DA, Bizheva K, Quantitative comparison of despeckling and frame averaging approaches to processing retinal OCT tomograms, SPIE Photonics West (BiOS), 2011.
  • *Eichel JA, Lee D, *Wong A, Fieguth PW, Clausi DA, Bizheva KK, Despeckling vs averaging of retinal UHROCT tomograms: Advantages and limitations, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2011.
  • *Wong A, *Mishra A, Fieguth P, Clausi DA, Nonparametric sample-based methods for image understanding, 137-153, World Scientific Publishing, 2011.
  • *Wong A, *Yu P, *Zhang W, Clausi DA (2010), IceSynth II: Synthesis of SAR sea-ice imagery using region-based posterior sampling, IEEE Transactions Geoscience and Remote Sensing Letters, Volume 7, Issue 2, 348-351.
  • *Qin K, Clausi DA (2010), Multivariate image segmentation using semantic region growing with adaptive edge penalty, IEEE Transactions on Image Processing, Volume 19, Issue 8, 2157-2170.
  • Clausi DA, *Qin K, *Chowdhury MS, *Yu P Maillard P (2010), MAGIC: MAp-Guided Ice Classification, Canadian Journal of Remote Sensing, Volume 36, Issue S1, S13-S25.
  • *Mishra A, *Wong A, Clausi DA, Fieguth PW (2010), Quasi-random nonlinear scale space, Pattern Recognition Letters, Volume 31, Issue 13, 1850-1859.
  • *Mishra A, *Wong A, Bizheva K, Clausi DA (2010), Novel interactive approach to intra-retinal layer segmentation in optical coherence tomography images, Optics Express (also published in The Virtual Journal for Biomedical Optics), Volume 17, Issue 26, 23719-23728.
  • *Tung F, *Wong A, Clausi DA (2010), A scalable spectral clustering image segmentation algorithm, Pattern Recognition, Volume 43, Issue 12, 4069-4076.
  • *Wong A, *Mishra A, Bizheva K, Clausi DA (2010), General Bayesian estimation for speckle noise reduction in optical coherence tomography retinal imagery, Optics Express, Volume 18, Issue 8, 8338-8352.
  • *Shabani A-H, Zelek J, Clausi DA, Robust local video event detection for action recognition, Neural Information Processing Systems (NIPS-10) Workshop on Machine Learning for Assistive Technologies, 2010.
  • *Ochilov S, Svacina N, Duguay CR, Clausi DA, Towards an automated lake ice monitoring system from SAR imagery, American Geophysical Union (AGU) Fall Meeting, Cryosphere Meeting Sessions, 2010.
  • *Eichel JA, Bizheva KK, Clausi DA, Fieguth P, Automated 3D reconstruction and segmentation from optical coherence tomography, 11th European Conference on Computer Vision, 2010.
  • *Ochilov S, Clausi DA, Automated classification of operational SAR sea ice images, 6th Canadian Conference on Computer and Robotic Vision, 2010.
  • *Wong A, *Mishra A, Clausi DA, Fieguth P, Quasi-random scale space approach to robust keypoint extraction in high-noise environments, Seventh Canadian Conference on Computer and Robotic Vision, 2010.
  • *Mishra A, Fieguth P, Clausi DA, Decoupled active surface for volumetric image segmentation, Seventh Canadian Conference on Computer and Robotic Vision, 2010.
  • *Mishra A, *Wong A, Clausi DA, Fieguth P, A Bayesian information flow approach to image segmentation, Seventh Canadian Conference on Computer and Robotic Vision, 2010.
  • *Wong A, *Mishra A, Clausi DA, Fieguth P, Mammogram image super-resolution based on statistical moment analysis, Seventh Canadian Conference on Computer and Robotic Vision, 2010.
  • *Shabani A, Zelek JS, Clausi DA, Human action recognition using salient opponent-based motion features, Seventh Canadian Conference on Computer and Robotic Vision, 2010.
  • *Mishra A, Hariri S, Moayed AA, Bizheva K, Fieguth P, Clausi DA, A cellular automata based semi-automatic algorithm for segmentation of choroidal blood vessels from ultrahigh resolution optical coherence images of rat retina, Signal and Multimedia Processing - IEEE Canadian Conference on Electrical and Computer Engineering, 2010.
  • *Chowdhury S, **Qin A K, and Clausi D A, Operational automated ice classification, 2nd Annual IC3 Student Colloquium, 2010.
  • *Yu P, Clausi D A, **Qin A K, *Ochilov S, *Chowdhury M S, **Maillard P, MAGIC v2.0: MAp-Guided Ice Classification System, 2nd Annual IC3 Student Colloquium, 2010.
  • Clausi DA, Fieguth P, Vision and image processing (VIP) research group, WeInnovate, 2010.
  • *Wong A, *Mishra A, Yates J, Fieguth P, Clausi DA, Callaghan JP (2009), Intervertebral disc segmentation and volumetric reconstruction from peripheral quantitative computer tomography imaging, IEEE Transactions on Biomedical Engineering, Volume 56, Issue 11, 2748-2751.
  • *Wong A, Clausi DA (2009), AISIR: Automated inter-sensor/inter-band satellite image registration using robust complex wavelet feature representations, Pattern Recognition Letters, Volume 31, 1160-1167.
  • *Mishra A, *Wong A, Bizheva K, Clausi DA (2009), Novel interactive approach to intra-retinal layer segmentation in optical coherence tomography images, Optics Express, Volume 17, Issue 26, 23719-23728.
  • *Siva P, Brodland GW, Clausi DA (2009), Detecting mitoses in time-lapse images of embryonic epithelia using intensity analysis, Annals of Biomedical Engineering, Volume 27, Issue 12, 2646-2655.
  • *Yu P, Clausi DA, Howell SEL (2009), Fusing AMSR-E and QuikSCAT imagery for improved sea ice recognition, IEEE Transactions Geoscience and Remote Sensing, Volume 47, Issue 7, 1980-1989.
  • *Wong A, Clausi DA, Fieguth P (2009), CPOL: Complex phase order likelihood as a similarity measure for MR-CT registration, Medical Image Analysis, Volume 14, Issue 1, 50-57.
  • *Siva P, Brodland GW, Clausi DA (2009), Detection of mitoses in embryonic epithelia using motion field analysis, Computer Methods in Biomechanics and Biomedical Engineering, Volume 12, Issue 2, 165-172.
  • **Zhang Y, Clausi DA, SAR sea ice image segmentation using an edge-preserving region-based MRF, International Conference on Image Processing (ICIP), 2009.
  • *Zhang Y, Clausi DA, Structure-preserving speckle reduction of SAR images using nonlocal means filters, International Conference on Image Processing (ICIP), 2009.
  • *Mishra AK, Fieguth PW, Clausi DA, A robust modular wavelet network based symbol classifier, International Conference on Image Analysis and Recognition (ICIAR), 2009.
  • Derksen C, Wang L, Walker A, Langlois A, Royer A, Goita K, Kelly R, Brown R, Fernandes R , Trichtchenko A, Howell S, Carrieres T, Clausi DA, Copland L, Sharp M, Bernier M, Hirose T, The State of the Canadian Cryosphere: New Field and Satellite Observations for the International Polar Year, IAMAS/IAPSO/IACS Joint Symposium, 2009.
  • *Mishra AK, *Eichel JA, Fieguth PW, Clausi DA, VizDraw: A platform to convert online hand written graphics into computer graphics, International Conference on Image Analysis and Recognition (ICIAR), 2009.
  • *Wong A, Clausi DA, Image processing and computer vision algorithms for public surveillance, Research Group Meeting, Geomatics for Informed Decisions (GEOIDE) an NSERC Network of Centres of Excellence (NCE), 2009.
  • Zaboli S, Clausi DA, Video pause detection using wavelets, 5th Canadian Conference on Computer and Robot Vision, 2009.
  • *Wong A, Clausi DA, Fieguth P, SEC: Stochastic ensemble consensus approach to unsupervised SAR sea-ice segmentation, 5th Canadian Conference on Computer and Robot Vision, 2009.
  • *Mishra AK, *Eichel J, Fieguth PW, Clausi DA, VizDraw: A platform to convert online hand written graphics into computer graphics, Vision and Image Processing (VIP) Workshop, 2009.
  • *Wong A, *Zhang W, Clausi DA, IceSynth: An image synthesis system for sea-ice segmentation evaluation, Annual General Meeting of Geomatics for Informed Decisions (GEOIDE) an NSERC Network of Centres of Excellence (NCE), 2009.
  • *Wong A, *Zhang W, Clausi DA, IceSynth: An image synthesis system for sea-ice segmentation evaluation, Vision and Image Processing (VIP) Workshop, 2009.
  • *Eichel JA, *Mishra AK, Clausi DA, Fieguth PW, Zizheva KK, A novel algorithm for extraction of the layers of the cornea, 5th Canadian Conference on Computer and Robot Vision, 2009.
  • *Shabani AH, Clausi DA, Zelek J, Towards robust spatio-temporal salient feature detection for human action recognition, Vision and Image Processing (VIP) Workshop, 2009.
  • *Shabani H, Clausi DA, Zelek JS, Robust 3D spatio-temporal interest point detection for human action recognition, Annual General Meeting of Geomatics for Informed Decisions (GEOIDE) an NSERC Network of Centres of Excellence (NCE), 2009.
  • *Mishra AK, Fieguth PW, Clausi DA, A robust modular wavelet network based symbol classifier, Vision and Image Processing (VIP) Workshop, 2009.
  • *Shabani H, Clausi DA, Zelek JS, Robust 3D spatio-temporal interest point detection for human action recognition, Research Group Meeting, Geomatics for Informed Decisions (GEOIDE) an NSERC Network of Centres of Excellence (NCE), 2009.
  • *Wong A, *Zhang W, Clausi DA, IceSynth: An image synthesis system for sea-ice segmentation evaluation, 5th Canadian Conference on Computer and Robot Vision, 2009.
  • *Tung F, Zelek JS, Clausi DA, Efficient target recovery using STAGE for mean-shift tracking, 5th Canadian Conference on Computer and Robot Vision, 2009.
  • *Wong A, Clausi DA, Fieguth P, Adaptive Monte Carlo retinex method for illumination and reflectance separation and color image enhancement, 5th Canadian Conference on Computer and Robot Vision. Kelowna, 2009.
  • *Zaboli S, Clausi DA, Video pause detection using wavelets, Vision and Image Processing (VIP) Workshop, 2009.
  • *Wong A, Clausi DA, Fieguth PW, Adaptive Monte Carlo Retinex method for illumination and reflectance separation and color image enhancement, Vision and Image Processing (VIP) Workshop, 2009.
  • *Tung F, Zelek JS, Clausi DA, Efficient target recovery using STAGE for mean-shift tracking, Research Group Meeting, Geomatics for Informed Decisions (GEOIDE) an NSERC Network of Centres of Excellence (NCE), 2009.
  • *Shabani H, Clausi DA, Zelek JS, Robust 3D spatio-temporal interest point detection for human action recognition, 5th Canadian Conference on Computer and Robot Vision, 2009.
  • *Zhang W, *Wong A, Clausi DA, JEDI: Adaptive stochastic estimation for joint enhancement and despeckling of images for SAR, 5th Canadian Conference on Computer and Robot Vision, 2009.
  • *Zhang W, *Wong A, Clausi DA, JEDI: Adaptive stochastic estimation for joint enhancement and despeckling of SAR images, Vision and Image Processing (VIP) Workshop, 2009.
  • *Ochilov S, Clausi DA, Full SAR sea ice scene classification, Vision and Image Processing (VIP) Workshop, 2009.
  • *Shabani AH, Clausi DA, Zelek JS, Model-free human action recognition, UW-Graduate Student Research Conference, 2009.
  • Bizheva K, Hyun C, *Eichel JA, Hariri S, *Mishra A, Clausi DA, Fieguth P, Simpson T, Hutchings N, Evaluation of hypoxic swelling of human cornea with high speed, ultrahigh resolution optical coherence tomography, SPIE BIOS (Biomedical Optics), 2009.
  • *Shabani AH, Clausi DA, Zelek J, Detection and recognition of human actions in video, Graduate Student Research Conference, 2009.
  • *Yu Q, Clausi DA (2008), IRGS: MRF based image segmentation using edge penalties and region growing, IEEE Transaction Pattern Analysis and Machine Intelligence, Volume 30, Issue 12, 2126-2139.
  • Maillard P, Alencar-Silva T, Clausi DA (2008), An evaluation of RADARSAT-1 and ASTER data for mapping veredas (palm swamps), Sensors, Volume 8, 6055-6076.
  • *Yu P, Clausi DA, De Abreu R, Agnew T, Combining AMSR-E and QuikSCAT image data to improve sea ice classification, 5th Workshop on Pattern Recognition for Remote Sensing, 2008.
  • *Wong A, *Mishra A, Clausi DA, Fieguth P, An adaptive Monte Carlo approach to nonlinear image denoising, 19th International Conference on Pattern Recognition, 2008.
  • Clausi DA, *Qin K, *Chowdhury MS, *Yu P, Maillard P, MAGIC – MAp-Guided Ice Classification system for operational analysis, 5th Workshop on Pattern Recognition for Remote Sensing, 2008.
  • *Mishra A, Clausi DA, Fieguth P, Adaptive nonlinear image denoising and restoration using a cooperative Bayesian estimation approach, Sixth Indian Conference on Computer Vision, Graphics, and Image Processing, 2008.
  • *Wong A, Clausi DA, Fieguth P, Automatic registration of inter-band and inter-sensor images using robust complex wavelet feature representations, 5th Workshop on Pattern Recognition for Remote Sensing, 2008.
  • *Wong A, Clausi DA, Fieguth P, Phase-adaptive image signal fusion using complex-valued wavelets, 19th International Conference on Pattern Recognition, 2008.
  • Clausi DA, *Qin K, *Chowdhury S, Maillard PM, MAGIC: Map-guided ice classification for operational analysis, International Polar Year (IPY) Project Meeting, 2008.
  • *Yu P, Clausi DA, De Abreu R, Agnew T, Combining AMSR-E and QuikSCAT image data to improve sea ice recognition, International Polar Year (IPY) Project Meeting “Variability and Change in the Canadian Cryosphere”, 2008.
  • *Wong A, Fieguth P, Clausi DA, A perceptually-adaptive approach to image denoising using anisotropic non-local means, 15th IEEE International Conference on Image Processing, 2008.
  • *Mishra A, Fieguth P, Clausi DA, Robust snake convergence based on dynamic programming, 15th IEEE International Conference on Image Processing, 2008.
  • *Wong A, *Mishra A, Fieguth P, Clausi D.A, Dunk NM, Callaghan JP, Shape-guided active contour based segmentation and tracking of lumbar vertebrae in video fluoroscopy using complex wavelets, IEEE Engineering in Medicine and Biology Conference, 2008.
  • Derksen C, Agnew T, Bernier M Carrieres T, Clausi DA, Copland L, DeAbreu R, Duguay C, Fernandes R, Goita K, Hirose T, Howell S, Kang K, Kelly R, Langlois A, LeDrew E, Royer A, Sharp M, Trichtchenko A, State of the Canadian cryosphere: New field and satellite observations for the International Polar Year with contributions form the ‘Variability and Change in the Canadian Cryosphere’ Working Group 1, Scientific Committee on Antarctic Research and International Arctic Science Committee (SCAR/IASC) Open Science Conference on Polar Research – Arctic and Antarctic Perspectives in the International Polar Year, 2008.
  • Clausi DA, Research directions in tracking, GEOIDE (Geomatics for Informed Decisions) Annual General Meeting, Project Group Meeting, 2008.
  • *El Nabbout N, Zelek J, Clausi DA, Automatically detecting and tracking people walking through a transparent door with vision, 4th Canadian Conference on Computer and Robot Vision, 2008.
  • Clausi DA, Qin K, Chowdhury S, Yu P, MAGIC (MAp-Guided Ice Classification) demonstration, GEOIDE (Geomatics for Informed Decisions) AGM, 2008.
  • *Mishra A, *Wong A, *Zhang W, Fieguth P, Clausi DA, Improved interactive medical image segmentation using enhanced intelligent scissors (EIS), IEEE Engineering in Medicine and Biology Conference, 2008.
  • *Mishra A, Fieguth P, Clausi DA, Accurate boundary localization using dynamic programming on snakes, 4th Canadian Conference on Computer and Robot Vision, 2008.
  • *Eichel J, *Mishra AK, Clausi DA, Fieguth PW, Bizheva KK, A novel algorithm for extraction of the layers of the cornea, Graduate Student Research Conference, 2008.

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