Multiresolution Techniques span an exceptionally broad range of algorithms, models, methods, and concepts. Central to the multiresolution approach is to somehow express short-range, mid-range, and long-range relationships explicitly. The main reasons for a multiresolution approach is one of:
- improving performance, by capturing long-range phenomena that would otherwise not be utilized
- reducing computational complexity, by allowing algorithms to work on both fine and coarse scales, rather than waiting for local pixel-level operations to converge at large scales
- improving numerical robustness (reducing problem conditioning), whereby a multiresolution transformation is essentially an algebraic pre-conditioner
- simplifying the algorithm, by making accessible long-range features that might, in some problems, be much easier to work with than pixel-level features
- improving intuition, by modeling or analyzing the problem over multiple scales, getting deeper insights into the phenomenon at hand.
Although there are, for sure, many mutiresolution approaches and algorithms which have been proposed, broadly these fall into a few groups:
Wavelet Methods
Problems in which a wavelet transform is used to decompose an image or video into multiple scales, very commonly for image/video denoising, or for feeding the coefficients at multiple scales into a classifier for image classification and segmentation.
Hierarchical Models
A model in which a pixellated, finest-scale random field is explicitly represented using a set of random fields over scales. In many cases the multi-scale model may be simpler, using principles of Markov decomposition to decouple the problem into pieces. A multi-scale model allows different models to be asserted at different scales, usually simpler or more meaningful than having a single-scale model which needs to assert all of the various sccale-dependent behaviours simultaneously.
Hierarchical Algorithms
Even if there is no explicitly hierarchical model, it is possible for the processing algorithm to be hierarchical. Best known examples include multigrid methods, whereby a single-scale linear system is solved by casting the problem onto a hierarchy, and wavelet methods in image processing, whereby the image is transferred into a set of multiscale coefficients in the wavelet domain, in which certain operations (like image compression or image denoising) are relatively simple.
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Kazemzadeh F., Haider S.A., Scharfenberger C., Wong A., and Clausi D.A, "Multispectral stereoscopic imaging device: Simultaneous multiview imaging from the visible to the near-infrared", IEEE Transactions on Instrumentation and Measurement, vol. 63, pp. 1871-1873, 2014. Get it here. Khalvati F., Modhafar A., Cameron A., Wong A., and Haider M.A, "A multi-parametric diffusion magnetic resonance imaging texture feature model for prostate cancer analysis", Mathematics and Visualization, vol. 39, pp. 79-88, 2014. Get it here. Eichel J.A., Wong A., Fieguth P., and Clausi D.A, "Robust spectral clustering using statistical sub-graph affinity model", PLoS ONE, vol. 8, 2013. Get it here. Kumar A., Tung F., Wong A., and Clausi D.A, "A decoupled approach to illumination-robust optical flow estimation", IEEE Transactions on Image Processing, vol. 22, pp. 4136-4147, 2013. Get it here. Glaister J., Amelard R., Wong A., and Clausi D.A, "MSIM: Multistage illumination modeling of dermatological photographs for illumination-corrected skin lesion analysis", IEEE Transactions on Biomedical Engineering, vol. 60, pp. 1873-1883, 2013. Get it here. Shabani A.H., Zelek J.S., and Clausi D.A, "Multiple scale-specific representations for improved human action recognition", Pattern Recognition Letters, vol. 34, pp. 1771-1779, 2013. Get it here. Tang H., Shen L., Qi Y., Chen Y., Shu Y., Li J., and Clausi D.A, "A multiscale latent dirichlet allocation model for object-oriented clustering of VHR panchromatic satellite images", IEEE Transactions on Geoscience and Remote Sensing, vol. 51, pp. 1680-1692, 2013. Get it here. Asmar D.C., Abdallah S.M., and Zelek J.S, "Vision SLAM maps: Towards richer content", Studies in Computational Intelligence, vol. 127, pp. 303-329, 2013. Get it here. Fazl-Ersi E., Zelek J.S., and Tsotsos J.K, "Robust face recognition through local graph matching", Journal of Multimedia, vol. 2, pp. 31-37, 2013. Get it here. Wu H., and Zelek J, "A multiclassifier-based near-real-time face detection system", International Journal of Robotics and Automation, vol. 20, pp. 1-13, 2013. Get it here. Boroomand A., Wong A., Li E., Cho D.S., Ni B., and Bizheva K, "Multi-penalty conditional random field approach to super-resolved reconstruction of optical coherence tomography images", Biomedical Optics Express, vol. 4, pp. 2032-2050, 2013. Get it here. Wang X.Y., and Wong A, "Multi-Parametric Clustering for Sensor Node Coordination in Cognitive Wireless Sensor Networks", PLoS ONE, vol. 8, 2013. Get it here. Liu L., Fieguth P., Clausi D., and Kuang G, "Sorted random projections for robust rotation-invariant texture classification", Pattern Recognition, vol. 45, pp. 2405-2418, 2012. Get it here. Wong A., and Wang X.Y, "Monte Carlo cluster refinement for noise robust image segmentation", Journal of Visual Communication and Image Representation, vol. 23, pp. 984-994, 2012. Get it here. Zhang W., Wong A., Mishra A., Fieguth P., and Clausi D.A, "Efficient globally optimal registration of remote sensing imagery via quasi-random scale-space structural correlation energy fun", IEEE Geoscience and Remote Sensing Letters, vol. 8, pp. 997-1001, 2011. Get it here. Mishra A., Wong A., Clausi D.A., and Fieguth P.W, "Quasi-random nonlinear scale space", Pattern Recognition Letters, vol. 31, pp. 1850-1859, 2010. Get it here. Qin A.K., and Clausi D.A, "Multivariate image segmentation using semantic region growing with adaptive edge penalty", IEEE Transactions on Image Processing, vol. 19, pp. 2157-2170, 2010. Get it here. Wong A., and Clausi D.A, "AISIR: Automated inter-sensor/inter-band satellite image registration using robust complex wavelet feature representations", Pattern Recognition Letters, vol. 31, pp. 1160-1167, 2010. Get it here. Wong A., Clausi D.A., and Fieguth P, "CPOL: Complex phase order likelihood as a similarity measure for MR-CT registration", Medical Image Analysis, vol. 14, pp. 50-57, 2010. Get it here. Clausi D.A., Qin A.K., Chowdhury M.S., Yu P., and Maillard P, "MAGIC: MAp-Guided Ice Classification System", Canadian Journal of Remote Sensing, vol. 36, pp. S13-S25, 2010. Get it here. Kachouie N.N., Fieguth P., Gamble D., Jervis E., Ezziane Z., and Khademhosseini A, "Constrained watershed method to infer morphology of mammalian cells in microscopic images", Cytometry Part A, vol. 77, pp. 1148-1159, 2010. Get it here. Mishra A., and Wong A, "KPAC: A kernel-based parametric active contour method for fast image segmentation", IEEE Signal Processing Letters, vol. 17, pp. 312-315, 2010. Get it here. Alexander S.K., Fieguth P., Ioannidis M.A., and Vrscay E.R, "Hierarchical annealing for synthesis of binary images", Mathematical Geosciences, vol. 41, pp. 357-378, 2009. Get it here. Wong A., and Scharcanski J, "Phase-adaptive superresolution of mammographic images using complex wavelets", IEEE Transactions on Image Processing, vol. 18, pp. 1140-1146, 2009. Get it here. Wong A., Dunk N.M., and Callaghan J.P, "A systematic approach to feature tracking of lumbar spine vertebrae from fluoroscopic images using complex-valued wavelets", Computer Methods in Biomechanics and Biomedical Engineering, vol. 12, pp. 607-616, 2009. Get it here. Wong A., and Orchard J, "Robust multimodal registration using local phase-coherence representations", Journal of Signal Processing Systems, vol. 54, pp. 89-100, 2009. Get it here. Maillard P., Alencar-Silva T., and Clausi D.A, "An evaluation of Radarsat-1 and ASTER data for mapping veredas (palm swamps)", Sensors, vol. 8, pp. 6055-6076, 2008. Get it here. Maillard P., Clausi D.A., and Deng H, "Operational map-guided classification of SAR sea ice imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 43, pp. 2940-2951, 2005. Get it here. Deng H., and Clausi D.A, "Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field model", IEEE Transactions on Geoscience and Remote Sensing, vol. 43, pp. 528-537, 2005. Get it here. Clausi D.A., and Yu B, "Comparing cooccurrence probabilities and Markov random fields for texture analysis of SAR sea ice imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 42, pp. 215-228, 2004. Get it here. Clausi D.A., and Zhao Y, "Grey level co-occurrence integrated algorithm (GLCIA): A superior computational method to rapidly determine co-occurrence probab", Computers and Geosciences, vol. 29, pp. 837-850, 2003. Get it here. Fieguth P.W., Menemenlis D., and Fukumori I, "Mapping and pseudoinverse algorithms for ocean data assimilation", IEEE Transactions on Geoscience and Remote Sensing, vol. 41, pp. 43-51, 2003. Get it here. Carballo G.F., and Fieguth P.W, "Hierarchical network flow phase unwrapping", IEEE Transactions on Geoscience and Remote Sensing, vol. 40, pp. 1695-1708, 2002. Get it here. Ho T.T., Fieguth P.W., and Willsky A.S, "Computationally efficient steady-state multiscale estimation for 1-D diffusion processes", Automatica, vol. 37, pp. 325-340, 2001. Get it here. Schneider M.K., Fieguth P.W., Karl W.C., and Willsky A.S, "Multiscale methods for the segmentation and reconstruction of signals and images", IEEE Transactions on Image Processing, vol. 9, pp. 456-468, 2000. Get it here. Clausi D.A., and Jernigan M, "A fast method to determine co-occurrence texture features", IEEE Transactions on Geoscience and Remote Sensing, vol. 36, pp. 298-300, 1998. Get it here. Fieguth P.W., Karl W.C., and Willsky A.S, "Efficient Multiresolution Counterparts to Variational Methods for Surface Reconstruction", Computer Vision and Image Understanding, vol. 70, pp. 157-176, 1998. Get it here. Fieguth P., Menemenlis D., Ho T., Willsky A., and Wunsch C, "Mapping mediterranean altimeter data with a multiresolution optimalinterpolation algorithm", Journal of Atmospheric and Oceanic Technology, vol. 15, pp. 535-546, 1998. Get it here. Irving W.W., Fieguth P.W., and Willsky A.S, "An overlapping tree approach to multiscale stochastic modeling and estimation", IEEE Transactions on Image Processing, vol. 6, pp. 1517-1529, 1997. Get it here. Menemenlis D., Fieguth P., Wunsch C., and Willsky A, "Adaptation of a fast optimal interpolation algorithm to the mapping of oceanographic data", Journal of Geophysical Research: Oceans, vol. 102, pp. 10573-10584, 1997. Get it here. Fieguth P.W., and Willsky A.S, "Fractal estimation using models on multiscale trees", IEEE Transactions on Signal Processing, vol. 44, pp. 1297-1300, 1996. Get it here. Fieguth Paul W., Karl William C., Willsky Alan S., and Wunsch Car, "Multiresolution optimal interpolation and statistical analysis of TOPEX/POSEIDON satellite altimetry", IEEE Transactions on Geoscience and Remote Sensing, vol. 33, pp. 280-291, 1995. Get it here. Chen X., Patel M., Pena Cantu F.J., Park J., Turnes J.N., Xu L., Scott K.A., and Clausi D.A, "MMSeaIce: a collection of techniques for improving sea ice mapping with a multi-task model", Cryosphere, vol. 18, pp. 1621-1632, . Get it here. Chen X., Cantu F.J.P., Patel M., Xu L., Brubacher N.C., Scott K.A., and Clausi D.A, "A comparative study of data input selection for deep learning-based automated sea ice mapping", International Journal of Applied Earth Observation and Geoinformation, vol. 127, . Get it here. Boktor M., Tweel J.E.D., Ecclestone B.R., Ye J.A., Fieguth P., and Haji Reza P, "Multi-channel feature extraction for virtual histological staining of photon absorption remote sensing images", Scientific Reports, vol. 14, . Get it here. Ni X., Fieguth P.W., Ma Z., Shi B., and Liu H, "Defect detection on multi-type rail surfaces via IoU decoupling and multi-information alignment", Advanced Engineering Informatics, vol. 62, . Get it here. Du J., Cai G., Wang Z., Su J., Huang M., Zelek J., Marcato J., and Li J, "MTCloud: Multi-type convolutional linkage network for point cloud instance segmentation", Expert Systems with Applications, vol. 127, . Get it here.
Conference PapersChomko V., Chen Y., Clausi D.A., and Wong A, "Synthetic Local Data Augmentation", 2024 IEEE 26th International Workshop on Multimedia Signal Processing, MMSP 2024, 2024. Get it here. Abedi H., Ansariyan A., Hedge E.T., Mastrandrea C., Morita P.P., Boger J., Wong A., Hughson R., and Shaker G, "Multi-Person Hallway Gait Monitoring using mm-Wave FMCW Radar", IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), 2024. Get it here. Li Y., Sridhar D., Liang H., and Wong A, "Spot the Difference! Temporal Coarse to Fine to Finer Difference Spotting for Action Recognition in Videos", Proceedings - IEEE International Conference on Multimedia and Expo, 2024. Get it here. Chen X., Scott K.A., Jiang M., Fang Y., Xu L., and Clausi D.A, "Sea ice classification with dual-polarized SAR imagery: a hierarchical pipeline", Proceedings - 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023, 2023. Get it here. Chen X., Patel M., Cantu F.J.P., Park J., Turnes J.N., Jiang M., Xu L., Scott K.A., Clausi D.A., and Huang W, "The Influence of Input Variable Selection on Deep Learning-Based Sea Ice Parameter Inversion from Multi-Sensor Satellite Data", Oceans Conference Record (IEEE), 2023. Get it here. Pena Cantu F.J., Chen X., Liu Y., Kanani K., Park J., Tunes J.N., Xu L., Scott K.A., and Clausi D.A, "A Hierarchical Multitask U-Net for Automated Sea Ice Mapping from AI4Arctic Sea Ice Challenge Dataset", Oceans Conference Record (IEEE), 2023. Get it here. Fang Y., De Souza A., Xu L., Chen X., and Clausi D.A, "Endmember Variable Mineral Mapping with Bayesian Convolutional Unmixing Network Using Prisma Hyperspectral Imagery", Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, 2023. Get it here. Wong A., Wu Y., Abbasi S., Nair S., Chen Y., and Shafiee M.J, "Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic G", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2023. Get it here. Chen Y., Gunraj H., Zeng E.Z., Meyer R., Gilles M., and Wong A, "MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2023. Get it here. Hryniowski A., and Wong A, "Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Si", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2023. Get it here. McNally W., Vats K., Wong A., and McPhee J, "Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-person Human Pose Estimation", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2022. Get it here. Abbasi S., Wong A., and Shafiee M.J, "MAPLE: Microprocessor A Priori for Latency Estimation", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2022. Get it here. Liu X., Yang X., Wang D., Wong A., Ma L., and Li L, "VidAF: A Motion-Robust Model for Screening Atrial Fibrillation from Facial Videos", IEEE Journal of Biomedical and Health Informatics, 2022. Get it here. Nair S., Abbasi S., Wong A., and Shafiee M.J, "MAPLE-Edge: A Runtime Latency Predictor for Edge Devices", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2022. Get it here. Vats K., Fani M., Clausi D.A., and Zelek J, "Puck localization and multi-task event recognition in broadcast hockey videos", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2021. Get it here. Vats K., Fani M., Clausi D.A., and Zelek J, "Multi-task learning for jersey number recognition in ice hockey", MMSports 2021 - Proceedings of the 4th International Workshop on Multimedia Content Analysis in Sports, co-located with ACM MM 2021, 2021. Get it here. Ghanbari M., Clausi D.A., Xu L., and Jiang M, "Unsupervised Segmentation of Multilook Compact Polarimetric Sar Data based on Complex Wishart Distribution", International Geoscience and Remote Sensing Symposium (IGARSS), 2020. Get it here. Vats K., Fani M., Walters P., Clausi D.A., and Zelek J, "Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2020. Get it here. Singh A., Sengupta S., J J.B., Mohammed A.R., Faruq I., Jayakumar V., Zelek J., and Lakshminarayanan V, "What is the Optimal Attribution Method for Explainable Ophthalmic Disease Classification?", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020. Get it here. Sengupta S., Wong A., Singh A., Zelek J., and Lakshminarayanan V, "DeSupGAN: Multi-scale Feature Averaging Generative Adversarial Network for Simultaneous De-blurring and Super-Resolution of Reti", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020. Get it here. Jeddi A., Shafiee M.J., Karg M., Scharfenberger C., and Wong A, "Learn2Perturb: An end-to-end feature perturbation learning to improve adversarial robustness", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2020. Get it here. Hu X., Naiel M.A., Wong A., Lamm M., and Fieguth P, "RUNet: A robust UNet architecture for image super-resolution", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Hu X., Naiel M.A., Azimifar Z., Lamm M., and Fieguth P, "Robust Visual Enhancement of Moving Contents in Projected Imagery", Digest of Technical Papers - SID International Symposium, 2019. Get it here. Zhang D., Gong Z., Chen Y., Zelek J., and Li J, "Slam-Based Multi-Sensor Backpack Lidar Systems in Gnss-Denied Environments", International Geoscience and Remote Sensing Symposium (IGARSS), 2019. Get it here. Boroomand A., Tan B., Shafiee M.J., Bizheva K., and Wong A, "A random field computational adaptive optics framework for optical coherence microscopy", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019. Get it here. Deglint J.L., Jin C., and Wong A, "A multispectral Bayesian-based computational microscopy method for enhancing image quality", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2019. Get it here. Daya I.B., Shafiee M.J., Karg M., Scharfenberger C., and Wong A, "SANE: Towards improved prediction robustness via stochastically activated network ensembles", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Daya I.B., Shafiee M.J., Karg M., Scharfenberger C., and Wong A, "SANE: Exploring adversarial robustness with stochastically activated network ensembles", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Ma A., Wong A., and Clausi D.A, "Deep learning-driven depth from defocus via active multispectral quasi-random projections with complex subpatterns", Proceedings - 2018 15th Conference on Computer and Robot Vision, CRV 2018, 2018. Get it here. Hryniowski A., Daya I.B., Gawish A., Lamm M., Wong A., and Fieguth P, "Multi-projector resolution enhancement through biased interpolation", Proceedings - 2018 15th Conference on Computer and Robot Vision, CRV 2018, 2018. Get it here. Roy P., Gholami P., Kuppuswamy Parthasarathy M., Zelek J., and Lakshminarayanan V, "Automated intraretinal layer segmentation of optical coherence tomography images using graph-theoretical methods", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2018. Get it here. Lunscher N., and Zelek J, "Deep learning whole body point cloud scans from a single depth map", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2018. Get it here. Kumar D., Menkovski V., Taylor G.W., and Wong A, "Understanding anatomy classification through attentive response maps", Proceedings - International Symposium on Biomedical Imaging, 2018. Get it here. Ma A., Wong A., and Clausi D, "Depth from defocus via active quasi-random point projections: A deep learning approach", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017. Get it here. Zelek J., and Lunscher N, "Point Cloud Completion of Foot Shape from a Single Depth Map for Fit Matching Using Deep Learning View Synthesis", Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017, 2017. Get it here. Lunscher N., and Zelek J, "Deep Learning Anthropomorphic 3D Point Clouds from a Single Depth Map Camera Viewpoint", Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017, 2017. Get it here. Karimi A.-H., Chung A.G., Shafiee M.J., Khalvati F., Haider M.A., Ghodsi A., and Wong A, "Discovery radiomics via a mixture of deep ConvNet sequencers for multi-parametric MRI prostate cancer classification", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017. Get it here. Boroomand A., Tan B., Wong A., and Bizheva K, "A stochastically fully connected conditional random field framework for super resolution OCT", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2017. Get it here. Daya I.B., Chen A.I.H., Shafiee M.J., Wong A., and Yeow J.T.W, "Compensated row-column ultrasound imaging system using three dimensional random fields", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017. Get it here. Khalvati F., Zhang J., Wong A., and Haider M.A, "Bag of bags: Nested multi instance classification for prostate cancer detection", Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016, 2017. Get it here. Deglint J., Chung A.G., Chwyl B., Amelard R., Kazemzadeh F., Wang X.Y., Clausi D.A., and Wong A, "Photoplethysmographic imaging via spectrally demultiplexed erythema fluctuation analysis for remote heart rate monitoring", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2016. Get it here. Gawish A., Scharfenberger C., Bi H., Wong A., Fieguth P., and Clausi D, "Robust non-saliency guided watermarking", Proceedings - 2016 13th Conference on Computer and Robot Vision, CRV 2016, 2016. Get it here. Kasiri K., Fieguth P., and Clausi D.A, "Sorted self-similarity for multi-modal image registration", Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2016. Get it here. Kasiri K., Fieguth P., and Clausi D.A, "Self-similarity measure for multi-modal image registration", Proceedings - International Conference on Image Processing, ICIP, 2016. Get it here. Liu L., Fieguth P., Wang X., Pietikainen M., and Hu D, "Evaluation of LBP and deep texture descriptors with a new robustness benchmark", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016. Get it here. Li F., Wong A., and Zelek J, "Hierarchical grouping approach for fast approximate RGB-D scene flow", Proceedings - 2016 13th Conference on Computer and Robot Vision, CRV 2016, 2016. Get it here. Jeya L., and Zelek J, "KinectScenes: Robust real-time RGB-D fusion for animal behavioural monitoring", Proceedings - 2016 13th Conference on Computer and Robot Vision, CRV 2016, 2016. Get it here. Greenberg S., Chung A.G., Chwyl B., and Wong A, "TIGGER: A texture-illumination guided global energy response model for illumination robust object saliency", Proceedings - 2016 13th Conference on Computer and Robot Vision, CRV 2016, 2016. Get it here. Chung A.G., Shafiee M.J., and Wong A, "Image restoration via deep-structured stochastically fully-connected conditional random fields (DSFCRFs) for very low-light cond", Proceedings - 2016 13th Conference on Computer and Robot Vision, CRV 2016, 2016. Get it here. Chung A.G., Shafiee M.J., and Wong A, "Random feature maps via a Layered Random Projection (LARP) framework for object classification", Proceedings - International Conference on Image Processing, ICIP, 2016. Get it here. Kazemzadeh F., Jin C., Yu M., Amelard R., Haider S., Saini S., Emelko M., Clausi D.A., and Wong A, "Multispectral digital holographic microscopy with applications in water quality assessment", Proceedings of SPIE - The International Society for Optical Engineering, 2015. Get it here. Deglint J., Kazemzadeh F., Shafiee M.J., Li E., Khodadad I., Saini S.S., Wong A., and Clausi D.A, "Virtual spectral multiplexing for applications in in-situ imaging microscopy of transient phenomena", Proceedings of SPIE - The International Society for Optical Engineering, 2015. Get it here. Chwyl B., Chung A.G., Li F.Y., Wong A., and Clausi D.A, "Tiger: A texture-illumination guided energy response model for illumination robust local saliency", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Xu L., Shafiee M.J., Wong A., Li F., Wang L., and Clausi D, "Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field m", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2015. Get it here. Chwyl B., Wong A., and Clausi D.A, "Illumination robust facial feature detection via decoupled illumination and texture features", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015. Get it here. Kasiri K., Fieguth P., and Clausi D.A, "Structural representations for multi-modal image registration based on modified entropy", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015. Get it here. Kazemzadeh F., Haider S., Jin C., Clausi D.A., and Wong A, "Concurrent fluorescence macro-imaging across multiple spectral regions in the visible and the near infrared", Proceedings of SPIE - The International Society for Optical Engineering, 2015. Get it here. Amelard R., Scharfenberger C., Wong A., and Clausi D.A, "Non-contact assessment of melanin distribution via multispectral temporal illumination coding", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2015. Get it here. Haider S.A., Scharfenberger C., Kazemzadeh F., Wong A., and Clausi D.A, "Multi-polarimetric textural distinctiveness for outdoor robotic saliency detection", Proceedings of SPIE - The International Society for Optical Engineering, 2015. Get it here. Shafiee M.J., Chung A.G., Wong A., and Fieguth P, "Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Gawish A., Fieguth P., Marschall S., and Bizheva K, "Undecimated hierarchical active contours for oct image segmentation", 2014 IEEE International Conference on Image Processing, ICIP 2014, 2015. Get it here. Liu L., Fieguth P., Zhao G., and Pietikainen M, "Extended local binary pattern fusion for face recognition", 2014 IEEE International Conference on Image Processing, ICIP 2014, 2015. Get it here. Scharfenberger C., Jain A., Wong A., and Fieguth P, "Image saliency detection via multi-scale statistical non-redundancy modeling", 2014 IEEE International Conference on Image Processing, ICIP 2014, 2015. Get it here. Shafiee M.J., Wong A., Siva P., and Fieguth P, "Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques", 2014 IEEE International Conference on Image Processing, ICIP 2014, 2015. Get it here. Liu L., Yang B., Fieguth P., Yang Z., and Wei Y, "BRINT: A binary rotation invariant and noise tolerant texture descriptor", 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings, 2015. Get it here. Liu Y., He D., and Fieguth P, "Adaptive post-filtering based on Local Binary Patterns", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Liu L., Fieguth P., Kuang G., and Zha H, "Sorted random projections for robust texture classification", Proceedings of the IEEE International Conference on Computer Vision, 2015. Get it here. Liu L., Fieguth P., and Kuang G, "Combining sorted random features for texture classification", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Shafiee M.J., Azimifar Z., Wong A., and Fieguth P, "A novel hierarchical model-based frame rate up-conversion via spatio-temporal conditional random fields", Proceedings - 2011 IEEE InternationalSymposium on Multimedia, ISM 2011, 2015. Get it here. Moayedi F., Azimifar Z., Fieguth P., and Kazemi A, "Adaptive multi-resolution CRF-based contour tracking", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Liu L., Fieguth P., and Kuang G, "Compressed sensing for robust texture classification", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015. Get it here. Liu L., Fieguth P., and Kuang G, "Generalized local binary patterns for texture classification", BMVC 2011 - Proceedings of the British Machine Vision Conference 2011, 2015. Get it here. Shafiee M.J., Azimifar Z., and Fieguth P, "Temporal conditional random fields: A conditional state space predictor for visual tracking", 2010 6th Iranian Conference on Machine Vision and Image Processing, MVIP 2010, 2015. Get it here. Shafiee M.J., Azimifar Z., and Fieguth P, "Model-based tracking: Temporal conditional random fields", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Ahmadi E., Azimifar Z., Fieguth P., and Ayatollahi Sh, "Image synthesis using conditional random fields", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Liu Y., and Fieguth P, "Parallel hidden hierarchical fields for multi-scale reconstruction", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015. Get it here. Mohebi A., Liu Y., and Fieguth P, "Hierarchical Sampling with Constraints", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015. Get it here. Liu Y., and Fieguth P, "Image resolution enhancement with hierarchical hidden fields", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015. Get it here. Liu Y., Mohebi A., and Fieguth P, "Modeling of multiscale porous media using multiple Markov random fields", Poromechanics IV - 4th Biot Conference on Poromechanics, 2015. Get it here. Kachouie N.N., and Fieguth P, "A medical texture local binary pattern for TRUS prostate segmentation", Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2015. Get it here. Kachouie N.N., and Fieguth P, "Toward an optimal solution for multitarget tracking", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Kachouie N.N., Fieguth P., and Rahnamayan S, "An elliptical level set method for automatic TRUS prostate image segmentation", Sixth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT, 2015. Get it here. Wesolkowski S., and Fieguth P, "Hierarchical region mean-based image segmentation", Third Canadian Conference on Computer and Robot Vision, CRV 2006, 2015. Get it here. Kachouie N.N., and Fieguth P, "A combined BayesShrink Wavelet-Ridgelet technique for image denoising", 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings, 2015. Get it here. Fieguth P., and Zhang J, "Random Field Models", Handbook of Image and Video Processing, Second Edition, 2015. Get it here. Azimifar Z., Fieguth P., and Jernigan E, "Correlated wavelet shrinkage: Models of local random fields across multiple resolutions", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Kachouie N.N., and Fieguth P, "A narrow-band level-set method with dynamic velocity for neural stem cell cluster segmentation", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015. Get it here. Jin F., Fieguth P., and Winger L, "Image denoising using complex wavelets and Markov prior models", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015. Get it here. Li F.Y., Shafiee M.J., Chung A.G., Chwyl B., Kazemzadeh F., Wong A., and Zelek J, "High dynamic range map estimation via fully connected random fields with stochastic cliques", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Li F., Li E., Shafiee M.J., Wong A., and Zelek J, "Dense Depth Map Reconstruction from Sparse Measurements Using a Multilayer Conditional Random Field Model", Proceedings -2015 12th Conference on Computer and Robot Vision, CRV 2015, 2015. Get it here. Chung A.G., Scharfenberger C., Khalvati F., Wong A., and Haider M.A, "Statistical textural distinctiveness in multi-parametric prostate MRI for suspicious region detection", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015. Get it here. Haider S.A., Shafiee M.J., Chung A., Khalvati F., Oikonomou A., Wong A., and Haider M.A, "Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields", Proceedings - International Symposium on Biomedical Imaging, 2015. Get it here. Siva P., Scharfenberger C., Ben Daya I., Mishra A., and Wong A, "Return of grid seams: A superpixel algorithm using discontinuous multi-functional energy seam carving", Proceedings - International Conference on Image Processing, ICIP, 2015. Get it here. Li E., Shafiee M.J., Kazemzadeh F., and Wong A, "Sparse reconstruction of compressed sensing multispectral data using a cross-spectral multilayered conditional random field mode", Proceedings of SPIE - The International Society for Optical Engineering, 2015. Get it here. Kasiri K., Fieguth P., and Clausi D.A, "Cross modality label fusion in multi-atlas segmentation", 2014 IEEE International Conference on Image Processing, ICIP 2014, 2014. Get it here. Cho D.S., Haider S., Amelard R., Wong A., and Clausi D, "Physiological characterization of skin lesion using non-linear random forest regression model", 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, 2014. Get it here. Kasiri K., Clausi D.A., and Fieguth P, "Multi-modal image registration using structural features", 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, 2014. Get it here. Kazemzadeh F., Shafiee M.J., Wong A., and Clausi D.A, "Reconstruction of compressive multispectral sensing data using a multilayered conditional random field approach", Proceedings of SPIE - The International Society for Optical Engineering, 2014. Get it here. Li F., Wong A., and Clausi D.A, "Comparison of unsupervised segmentation methods for surficial materials mapping in Nunavut, Canada using RADARSAT-2 polarimetric", International Geoscience and Remote Sensing Symposium (IGARSS), 2014. Get it here. Li F., Wong A., and Clausi D.A, "Comparative study of feature space projection methods for hyperspectral image classification", International Geoscience and Remote Sensing Symposium (IGARSS), 2014. Get it here. Lui D., Scharfenberger C., De Carvalho D.E., Callaghan J.P., and Wong A, "Semi-automatic Fisher-Tippett guided active contour for lumbar multifidus muscle segmentation", 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, 2014. Get it here. Cameron A., Modhafar A., Khalvati F., Lui D., Shafiee M.J., Wong A., and Haider M, "Multiparametric MRI prostate cancer analysis via a hybrid morphological-textural model", 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, 2014. Get it here. Wang G., Zelek J.S., and Wu Q.M.J, "Robust structure from motion of nonrigid objects in the presence of outlying and missing data", Proceedings - 2013 International Conference on Computer and Robot Vision, CRV 2013, 2013. Get it here. Wang G., Zelek J.S., Wu Q.M.J., and Bajcsy R, "Robust rank-4 affine factorization for structure from motion", Proceedings of IEEE Workshop on Applications of Computer Vision, 2013. Get it here. Grierson L., Hagemann E., Zelek J., and Carnahan H, "The efficacy of a wearable tactile way-finding device", IMETI 2009 - 2nd International Multi-Conference on Engineering and Technological Innovation, Proceedings, 2013. Get it here. Ersi E.F., and Zelek J, "Robust human skin detection in complex environments", VISAPP 2006 - Proceedings of the 1st International Conference on Computer Vision Theory and Applications, 2013. Get it here. Hajebi K., and Zelek J.S, "Sparse disparity map from uncalibrated infrared stereo images", Third Canadian Conference on Computer and Robot Vision, CRV 2006, 2013. Get it here. Asmar D.C., Zelek J.S., and Abdallah S.M, "SmartSLAM: Localization and mapping across multi-environments", Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2013. Get it here. Medeiros R.S., Scharcanski J., and Wong A, "Multi-scale stochastic color texture models for skin region segmentation and gesture detection", Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013, 2013. Get it here. Tung F., and Wong A, "Polynomial self-similarity for object classification", Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013, 2013. Get it here. Glaister J., Wong A., and Clausi D.A, "Illumination correction in dermatological photographs using multi-stage illumination modeling for skin lesion analysis", Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2012. Get it here. Schwartz S., Wong A., and Clausi D.A, "Multi-scale saliency-guided compressive sensing approach to efficient robotic laser range measurements", Proceedings of the 2012 9th Conference on Computer and Robot Vision, CRV 2012, 2012. Get it here. Scharfenberger C., Zelek J., and Clausi D, "Robust body-height estimation for applications in automotive industry", Proceedings of the 2012 9th Conference on Computer and Robot Vision, CRV 2012, 2012. Get it here. Kumar A., Wong A., Fieguth P., and Clausi D.A, "Multi-scale tensor vector field active contour", Proceedings - International Conference on Image Processing, ICIP, 2012. Get it here. Leigh A., Wong A., Clausi D.A., and Fieguth P, "Comprehensive analysis on the effects of noise estimation strategies on image noise artifact suppression performance", Proceedings - 2011 IEEE InternationalSymposium on Multimedia, ISM 2011, 2011. Get it here. Mishra A., Wong A., Fieguth P., and Clausi D.A, "Multi-scale 3D representation via volumetric quasi-random scale space", Proceedings - International Conference on Image Processing, ICIP, 2011. Get it here. Eichel J.A., Clausi D.A., and Fieguth P, "Precise high speed multi-target multi-sensor local positioning system", Proceedings - 2011 Canadian Conference on Computer and Robot Vision, CRV 2011, 2011. Get it here. Chan C., and Wong A, "Shot boundary detection using genetic algorithm optimization", Proceedings - 2011 IEEE InternationalSymposium on Multimedia, ISM 2011, 2011. Get it here. Glaister J., Chan C., Frankovich M., Tang A., and Wong A, "Hybrid video compression using selective keyframe identification and patch-based super-resolution", Proceedings - 2011 IEEE InternationalSymposium on Multimedia, ISM 2011, 2011. Get it here. Wong A., Mishra A., Clausi D.A., and Fieguth P, "Quasi-random scale space approach to robust keypoint extraction in high-noise environments", CRV 2010 - 7th Canadian Conference on Computer and Robot Vision, 2010. Get it here. Shabani H., Clausi D.A., and Zelek J.S, "Towards a robust spatio-temporal interest point detection for human action recognition", Proceedings of the 2009 Canadian Conference on Computer and Robot Vision, CRV 2009, 2009. Get it here. Wong A., Clausi D.A., and Fieguth P, "Adaptive monte carlo retinex method for illumination and reflectance separation and color image enhancement", Proceedings of the 2009 Canadian Conference on Computer and Robot Vision, CRV 2009, 2009. Get it here. Mishra A.K., Fieguth P.W., and Clausi D.A, "A Robust Modular Wavelet Network Based Symbol Classifier", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2009. Get it here. Mishra A.K., Fieguth P., and Clausi D.A, "Robust snake convergence based on dynamic programming", Proceedings - International Conference on Image Processing, ICIP, 2008. Get it here. Wong A., and Clausi D, "Automatic registration of inter-band and inter-sensor images using robust complex wavelet feature representations", 2008 IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2008, 2008. Get it here. Clausi D.A., Qin A.K., Chowdhury M.S., Yu P., and Maillard P, "Magic: Map-guided ice classification system for operational analysis", 2008 IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2008, 2008. Get it here. Wong A., Clausi D., and Fieguth P, "Phase-adaptive image signal fusion using complex-valued wavelets", Proceedings - International Conference on Pattern Recognition, 2008. Get it here. Wong A., Mishra A., Fieguth P., Clausi D., Dunk N.M., and Callaghan J.P, "Shape-guided active contour based segmentation and tracking of lumbar vertebrae in video fluoroscopy using complex wavelets", Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology", 2008. Get it here. Wong A., and Bishop W, "Robust edge detection based on non-local contribution of local frequency characteristics", Proceedings - 10th IEEE International Symposium on Multimedia, ISM 2008, 2008. Get it here. Wong A., and Bishop W, "Deblocking of block-transform compressed images using phase-adaptive shifted thresholding", Proceedings - 10th IEEE International Symposium on Multimedia, ISM 2008, 2008. Get it here. Wong A., and Bishop W, "Efficient and robust approach to simultaneous non-rigid registration and gamma estimation in the frequency domain", Proceedings of the 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008, 2008. Get it here. Wong A., and Bishop W, "Robust Hough-based symbol recognition using knowledge-based hierarchical neural networks", Proceedings of the 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008, 2008. Get it here. Hansen M., Bellemare A., Wong A., and Bishop W, "Decompressing perceptually adaptive normal map compression (PANMC) images in hardware", Canadian Conference on Electrical and Computer Engineering, 2008. Get it here. Wong A., and Bishop W, "Backwards compatible, multi-level regions-of-interest (ROI) image encryption architecture with biometric authentication", SIGMAP 2007 - International Conference on Signal Processing and Multimedia Applications, Proceedings, 2007. Get it here. Wong A., and Bishop W, "Intelligent multi-level regions-of-interest (ROI) document image encryption using an online learning model", Proceedings of the 4th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2007, 2007. Get it here. Wong A., and Bishop W, "Indirect knowledge-based approach to non-rigid multi-modal registration of medical images", Canadian Conference on Electrical and Computer Engineering, 2007. Get it here. Wong A., and Bishop W, "Robust invariant descriptor for symbol-based image recognition and retrieval", ICSC 2007 International Conference on Semantic Computing, 2007. Get it here. Wong A., and Kennings A, "Adaptive multiple texture approach to texture packing for 3D video games", Proceedings of the 2007 Conference on Future Play, Future Play '07, 2007. Get it here. Kachouie N.N., Fieguth P., Ramunas J., and Jervis E, "A statistical thresholding method for cell tracking", Sixth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT, 2006. Get it here. Wong A., and Bishop W, "An efficient, parallel multi-key encryption of compressed video streams", Proceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006, 2006. Get it here. Wong A., and Bishop W, "Practical content-adaptive subsampling for image and video compression", ISM 2006 - 8th IEEE International Symposium on Multimedia, 2006. Get it here. Wong A., and Bishop W, "Adaptive perceptual degradation based on video usage", ISM 2006 - 8th IEEE International Symposium on Multimedia, 2006. Get it here. Wong A., Bishop W., and Orchard J, "Efficient multi-modal least-squares alignment of medical images using quasi-orientation maps", Proceedings of the 2006 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV'06, 2006. Get it here. Wong A., and Bishop W, "A flexible content-based approach to adaptive image compression", 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings, 2006. Get it here. Wong A., and Orchard J, "Efficient and robust non-rigid least-squares rectification of medical images", Proceedings of the 2006 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV'06, 2006. Get it here. Clausi D.A., and Yue B, "Texture segmentation comparison using grey level Co-occurrence probabilities and Markov random fields", Proceedings - International Conference on Pattern Recognition, 2004. Get it here. Lee L.J., Attias H., Deng L., and Fieguth P, "A multimodal variational approach to learning and inference in switching state space models", ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2004. Get it here. Fieguth P., Bloore P., and Domsa A, "Phase-based methods for Fourier shape matching", ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2004. Get it here. Alexander S.K., Fieguth P., and Vrscay E.R, "Hierarchical annealing for scientific models", ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2004. Get it here. Alajlan N., Fieguth P., and Kamel M, "Robust shape retrieval using maximum likelihood theory", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004. Get it here. Wesolkowski S., and Fieguth P, "Hierarchical regions for image segmentation", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004. Get it here. Alexander S.K., Fieguth P., and Vrscay E.R, "Parameterized hierarchical annealing for scientific models", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004. Get it here. Alexander S.K., Fieguth P., and Vrscay E.R, "Image sampling by hierarchical annealing", IEEE International Conference on Image Processing, 2003. Get it here. Alexander S.K., Fieguth P., and Vrscay E.R, "Hierarchical annealing for random image synthesis", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2003. Get it here. Azimifar Z., Fieguth P., and Jernigan E, "Hierarchical Markov models for wavelet-domain statistics", IEEE Workshop on Statistical Signal Processing Proceedings, 2003. Get it here. Clausi D.A., and Zhao Y, "An advanced computational method to determine co-occurrence probability texture features", International Geoscience and Remote Sensing Symposium (IGARSS), 2002. Get it here. Azimifar Z., Fieguth P., and Jernigan E, "Hierarchical multiscale modeling of wavelet-based correlations", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2002. Get it here. Wesolkowski S., and Fieguth P, "Adaptive color image segmentation using markov random fields", IEEE International Conference on Image Processing, 2002. Get it here. Azimifar Z., Fieguth P., and Jernigan E, "Towards random field modeling of wavelet statistics", IEEE International Conference on Image Processing, 2002. Get it here. Fieguth P., Menemenlis D., and Fukumori I, "Mapping and pseudo-inverse algorithms for data assimilation", International Geoscience and Remote Sensing Symposium (IGARSS), 2002. Get it here. Mehta V.K., Hammock C.M., Fieguth P.W., and Krim H, "Data fusion of SSM/I channels using multiresolution wavelet transform", International Geoscience and Remote Sensing Symposium (IGARSS), 2002. Get it here. Wesolkowski S., and Fieguth P, "A Markov random fields model for hybrid edge- and region-based color image segmentation", Canadian Conference on Electrical and Computer Engineering, 2002. Get it here. Yue B., and Clausi D.A, "Sea ice segmentation using Markov random fields", International Geoscience and Remote Sensing Symposium (IGARSS), 2001. Get it here. Zhao Y., and Clausi D.A, "Design and establishment of multi-scale spatial information system based on regional planning and decision making", International Geoscience and Remote Sensing Symposium (IGARSS), 2001. Get it here. Murray M.J., Allen M.R., and Fieguth P.W, "Application of hierarchical estimation methods to interpolation of SST data", European Space Agency, (Special Publication) ESA SP, 2000. Get it here. Carballo G.F., and Fieguth P.W, "Multiresolution network flow phase unwrapping", International Geoscience and Remote Sensing Symposium (IGARSS), 2000. Get it here. Fieguth P.W., and Wan R, "Fast retrieval methods for images with significant variations", IEEE International Conference on Image Processing, 2000. Get it here. Ho Terrence T., Fieguth Paul W., and Willsky Alan S, "Recursive multiscale estimation of space-time random fields", IEEE International Conference on Image Processing, 1999. Get it here. Ho Terrence T., Fieguth Paul W., and Willsky Alan S, "Computationally efficient multiscale estimation of large-scale dynamic systems", IEEE International Conference on Image Processing, 1998. Get it here. Fieguth P.W., Allen M.R., and Murray M.J, "Hierarchical methods for global-scale estimation problems", Canadian Conference on Electrical and Computer Engineering, 1998. Get it here. Fieguth Paul W., Willsky Alan S., Menemenlis Dimitris, and Wunsch Carl I, "General multiresolution approach to the estimation of dense fields in remote sensing", IEEE International Conference on Image Processing, 1996. Get it here. Ho Terrence T., Fieguth Paul W., and Willsky Alan S, "Multiresolution stochastic models for the efficient solution of large-scale space-time estimation problems", ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1996. Get it here. Fieguth Paul W., Irving William W., and Willsky Alan S, "Multiresolution model development for overlapping trees via canonical correlation analysis", IEEE International Conference on Image Processing, 1996. Get it here. Schneider Michael K., Fieguth Paul W., Karl William C., and Willsky Alan S, "Multiscale methods for the segmentation of images", ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1996. Get it here. Fieguth Paul W., Karl William C., and Willsky Alan S, "Multiresolution statistical analysis and assimilation of large ocean data sets", ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1995. Get it here. Fieguth P.W., Karl W.C., and Willsky A.S, "A statistical multiscale approach to mapping altimetric data", Proceedings of SPIE - The International Society for Optical Engineering, 1994. Get it here. Fieguth P.W., Willsky A.S., and Karl W.C, "Multiresolution stochastic imaging of satellite oceanographic altimetric data", Proceedings - International Conference on Image Processing, ICIP, 1994. Get it here. Balaji B., Bright J., Prakash H., Chen Y., Clausi D.A., and Zelek J, "Jersey Number Recognition using Keyframe Identification from Low-Resolution Broadcast Videos", MMSports 2023 - Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, Co-located with: MM 2023, . Get it here. Shang J.C., Chen Y., Shafiee M.J., and Clausi D.A, "Rink-Agnostic Hockey Rink Registration", MMSports 2023 - Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, Co-located with: MM 2023, . Get it here. Bright J., Chen Y., and Zelek J, "Mitigating Motion Blur for Robust 3D Baseball Player Pose Modeling for Pitch Analysis", MMSports 2023 - Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, Co-located with: MM 2023, . Get it here. Tai C.-E.A., Keller M., Nair S., Chen Y., Wu Y., Markham O., Parmar K., Xi P., Keller H., Kirkpatrick S., and Wong A, "NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches", MADiMa 2023 - Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, Co-located with: MM 2023, . Get it here.