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Aboutalebi H., Shafiee M.J., Tai C.-E.A., and Wong A, "Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Dive", IEEE Access, vol. 12, pp. 48174-48188, 2024. Get it here. Chen X., Scott K.A., Xu L., Jiang M., Fang Y., and Clausi D.A, "Uncertainty-Incorporated Ice and Open Water Detection on Dual-Polarized SAR Sea Ice Imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023. Get it here. Wu Y., Xu L., Wang L., Chen Q., Chen Y., and Clausi D.A, "Multi-Task Edge Detection for Building Vectorization From Aerial Images", IEEE Geoscience and Remote Sensing Letters, vol. 20, 2023. Get it here. Ghanbari M., Xu L., and Clausi D.A, "Local and Global Spatial Information for Land Cover Semisupervised Classification of Complex Polarimetric SAR Data", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 3892-3904, 2023. Get it here. Taleghanidoozdoozan S., Xu L., and Clausi D.A, "Region-Based Sea Ice Mapping Using Compact Polarimetric Synthetic Aperture Radar Imagery with Learned Features and Contextual In", Remote Sensing, vol. 15, 2023. Get it here. Fang Y., Wang Y., Xu L., Chen Y., Wong A., and Clausi D.A, "Unsupervised Bayesian Subpixel Mapping Autoencoder Network for Hyperspectral Images", IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023. Get it here. Shaabana A., Gharaee Z., and Fieguth P, "Video Relationship Detection Using Mixture of Experts", IEEE Access, vol. 11, pp. 26048-26058, 2023. Get it here. Pellegrino N., Fieguth P.W., and Haji Reza P, "K-Means for noise-insensitive multi-dimensional feature learning", Pattern Recognition Letters, vol. 127, pp. 113-120, 2023. Get it here. Carrington A.M., Manuel D.G., Fieguth P.W., Ramsay T., Osmani V., Wernly B., Bennett C., Hawken S., Magwood O., Sheikh Y., Mcinnes M., and Holzinger A, "Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, pp. 329-341, 2023. Get it here. Chen W., Liu Y., Wang W., Bakker E.M., Georgiou T., Fieguth P., Liu L., and Lew M.S, "Deep Learning for Instance Retrieval: A Survey", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, pp. 7270-7292, 2023. Get it here. Teller N., Chad J.A., Wong A., Gunraj H., Ji X., Goubran M., Gilboa A., Roudaia E., Sekuler A., Churchill N., Schweizer T., Gao F., Masellis M., Lam B., Heyn C., Cheng I., Fowler R., Black S.E., MacIntosh B.J., Graham S.J., and Chen J.J, "Feasibility of diffusion-tensor and correlated diffusion imaging for studying white-matter microstructural abnormalities: Applic", Human Brain Mapping, vol. 44, pp. 3998-4010, 2023. Get it here. Wang C., Yang Y., Xu L., and Wong A, "A Hybrid Model of Primary Ensemble Empirical Mode Decomposition and Quantum Neural Network in Financial Time Series Prediction", Fluctuation and Noise Letters, vol. 22, 2023. Get it here. Aghamohammadi H., Thomas K.E., Srikant S., Deglint J., Wong A., and Poudineh M, "A competitive, bead-based assay combined with microfluidics for multiplexed toxin detection", Lab on a Chip, vol. 23, pp. 3245-3257, 2023. Get it here. Gomrokchi M., Amin S., Aboutalebi H., Wong A., and Precup D, "Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning", IEEE Access, vol. 11, pp. 42796-42808, 2023. Get it here. Vanberlo B., Li B., Hoey J., and Wong A, "Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks", IEEE Access, vol. 11, pp. 135696-135707, 2023. Get it here. Aboutalebi H., Pavlova M., Shafiee M.J., Florea A., Hryniowski A., and Wong A, "COVID-Net Biochem: an explainability-driven framework to building machine learning models for predicting survival and kidney inj", Scientific Reports, vol. 13, 2023. Get it here. Zhu Z., Parker W., and Wong A, "Leveraging deep learning for automatic recognition of microplastics (MPs) via focal plane array (FPA) micro-FT-IR imaging", Environmental Pollution, vol. 127, 2023. Get it here. Ma K., He S., Sinha G., Ebadi A., Florea A., Tremblay S., Wong A., and Xi P, "Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis", Sensors, vol. 23, 2023. Get it here. Wu Y., Xu L., Chen Y., Wong A., and Clausi D.A, "TAL: Topography-Aware Multi-Resolution Fusion Learning for Enhanced Building Footprint Extraction", IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022. Get it here. Taleghanidoozdoozan S., Xu L., and Clausi D.A, "Oil Spill Candidate Detection Using a Conditional Random Field Model on Simulated Compact Polarimetric Imagery", Canadian Journal of Remote Sensing, vol. 48, pp. 425-440, 2022. Get it here. Fang Y., Xu L., Wong A., and Clausi D.A, "Multi-Temporal Landsat-8 Images for Retrieval and Broad Scale Mapping of Soil Copper Concentration Using Empirical Models", Remote Sensing, vol. 14, 2022. Get it here. Fang Y., Xu L., Chen Y., Zhou W., Wong A., and Clausi D.A, "A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 4571-4582, 2022. Get it here. Jiang M., Xu L., and Clausi D.A, "Sea Ice–Water Classification of RADARSAT-2 Imagery Based on Residual Neural Networks (ResNet) with Regional Pooling", Remote Sensing, vol. 14, 2022. Get it here. Lee P.Q., Xu L., and Clausi D.A, "Estimating Noise Floor in Sentinel-1 Images With Linear Programming and Least Squares", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022. Get it here. Jiang M., Clausi D.A., and Xu L, "Sea-Ice Mapping of RADARSAT-2 Imagery by Integrating Spatial Contexture With Textural Features", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 7964-7977, 2022. Get it here. Hosseinaee Z., Pellegrino N., Abbasi N., Amiri T., Simmons J.A.T., Fieguth P., and Haji Reza P, "Author Correction: In-vivo functional and structural retinal imaging using multiwavelength photoacoustic remote sensing microsco", Scientific Reports, vol. 12, 2022. Get it here. Hosseinaee Z., Pellegrino N., Abbasi N., Amiri T., Simmons J.A.T., Fieguth P., and Haji Reza P, "In-vivo functional and structural retinal imaging using multiwavelength photoacoustic remote sensing microscopy", Scientific Reports, vol. 12, 2022. Get it here. Kamyab S., Azimifar Z., Sabzi R., and Fieguth P, "Deep learning methods for inverse problems", PeerJ Computer Science, vol. 8, 2022. Get it here. Pellegrino N., Ecclestone B.R., Dinakaran D., van Landeghem F., Fieguth P., and Reza P.H, "Time-domain feature extraction for target specificity in photoacoustic remote sensing microscopy", Optics Letters, vol. 47, pp. 3952-3955, 2022. Get it here. Aboutalebi H., Pavlova M., Shafiee M.J., Sabri A., Alaref A., and Wong A, "COVID-net CXR-S: Deep convolutional neural network for severity assessment of COVID-19 cases from chest X-ray images", Diagnostics, vol. 12, 2022. Get it here. Laschowski B., McNally W., Wong A., and McPhee J, "Environment Classification for Robotic Leg Prostheses and Exoskeletons Using Deep Convolutional Neural Networks", Frontiers in Neurorobotics, vol. 15, 2022. Get it here. Wong A., Gunraj H., Sivan V., and Haider M.A, "Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer", Scientific Reports, vol. 12, 2022. Get it here. Aboutalebi H., Pavlova M., Gunraj H., Shafiee M.J., Sabri A., Alaref A., and Wong A, "MEDUSA: Multi-Scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis", Frontiers in Medicine, vol. 8, 2022. Get it here. Pfisterer K.J., Amelard R., Chung A.G., Syrnyk B., MacLean A., Keller H.H., and Wong A, "Automated food intake tracking requires depth-refined semantic segmentation to rectify visual-volume discordance in long-term ca", Scientific Reports, vol. 12, 2022. Get it here. Liu X., Yang X., Wang D., Wong A., Ma L., and Li L, "VidAF: A Motion-Robust Model for Atrial Fibrillation Screening From Facial Videos", IEEE Journal of Biomedical and Health Informatics, vol. 26, pp. 1672-1683, 2022. Get it here. Aghamohammadi H., Hosseini S.A., Srikant S., Wong A., and Poudineh M, "Computational and Experimental Model to Study Immunobead-Based Assays in Microfluidic Mixing Platforms", Analytical Chemistry, vol. 94, pp. 2087-2098, 2022. Get it here. Pavlova M., Terhljan N., Chung A.G., Zhao A., Surana S., Aboutalebi H., Gunraj H., Sabri A., Alaref A., and Wong A, "COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest X-ray Images", Frontiers in Medicine, vol. 9, 2022. Get it here. Lee J.R.H., Pavlova M., Famouri M., and Wong A, "Cancer-Net SCa: tailored deep neural network designs for detection of skin cancer from dermoscopy images", BMC Medical Imaging, vol. 22, 2022. Get it here. Pfisterer K., Amelard R., Boger J., Keller H., Chung A., and Wong A, "Enhancing Food Intake Tracking in Long-term Care With Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology: ", JMIR Aging, vol. 5, 2022. Get it here. Abedi H., Boger J., Morita P.P., Wong A., and Shaker G, "Hallway Gait Monitoring Using Novel Radar Signal Processing and Unsupervised Learning", IEEE Sensors Journal, vol. 22, pp. 15133-15145, 2022. Get it here. Ebadi A., Xi P., MacLean A., Florea A., Tremblay S., Kohli S., and Wong A, "COVIDx-US: An Open-Access Benchmark Dataset of Ultrasound Imaging Data for AI-Driven COVID-19 Analytics", Frontiers in Bioscience - Landmark, vol. 27, 2022. Get it here. Yang Y., Butt Z.A., Leatherdale S.T., Morita P.P., Wong A., Rosella L., and Chen H.H, "Exploring the dynamic transitions of polysubstance use patterns among Canadian youth using Latent Markov Models on COMPASS data", The Lancet Regional Health - Americas, vol. 16, 2022. Get it here. Wong A., Lee J.R.H., Rahmat-Khah H., Sabri A., Alaref A., and Liu H, "TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases From Chest X-Ray", Frontiers in Artificial Intelligence, vol. 5, 2022. Get it here. Gunraj H., Sabri A., Koff D., and Wong A, "COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learni", Frontiers in Medicine, vol. 8, 2022. Get it here. Radhakrishnan K., Scott K.A., and Clausi D.A, "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, vol. 14, pp. 5339-5351, 2021. Get it here. Lee P.Q., Radhakrishnan K., Clausi D.A., Scott K.A., Xu L., and Marcoux M, "Beluga whale detection in the Cumberland Sound Bay using convolutional neural networks", Canadian Journal of Remote Sensing, vol. 47, pp. 276-294, 2021. Get it here. Asadi N., Scott K.A., Komarov A.S., Buehner M., and Clausi D.A, "Evaluation of a Neural Network with Uncertainty for Detection of Ice and Water in SAR Imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 59, pp. 247-259, 2021. Get it here. Chen Y., Xu L., Fang Y., Peng J., Yang W., Wong A., and Clausi D.A, "Unsupervised Bayesian Subpixel Mapping of Hyperspectral Imagery Based on Band-Weighted Discrete Spectral Mixture Model and Marko", IEEE Geoscience and Remote Sensing Letters, vol. 18, pp. 162-166, 2021. Get it here. Ghanbari M., Clausi D.A., and Xu L, "CP-IRGS: A Region-Based Segmentation of Multilook Complex Compact Polarimetric SAR Data", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 6559-6571, 2021. Get it here. Hu X., Naiel M.A., Azimifar Z., Ben Daya I., Lamm M., and Fieguth P, "Non-stationary content-adaptive projector resolution enhancement", Signal Processing: Image Communication, vol. 97, 2021. Get it here. Shafiee M.J., Jeddi A., Nazemi A., Fieguth P., and Wong A, "Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement", IEEE Signal Processing Magazine, vol. 38, pp. 22-30, 2021. Get it here. Abdar M., Pourpanah F., Hussain S., Rezazadegan D., Liu L., Ghavamzadeh M., Fieguth P., Cao X., Khosravi A., Acharya U.R., Makarenkov V., and Nahavandi S, "A review of uncertainty quantification in deep learning: Techniques, applications and challenges", Information Fusion, vol. 76, pp. 243-297, 2021. Get it here. Ertay D.S., Naiel M.A., Vlasea M., and Fieguth P, "Process performance evaluation and classification via in-situ melt pool monitoring in directed energy deposition", CIRP Journal of Manufacturing Science and Technology, vol. 35, pp. 298-314, 2021. Get it here. Gong Z., Li J., Luo Z., Wen C., Wang C., and Zelek J, "Mapping and Semantic Modeling of Underground Parking Lots Using a Backpack LiDAR System", IEEE Transactions on Intelligent Transportation Systems, vol. 22, pp. 734-746, 2021. Get it here. Cudlip A.C., Callaghan J.P., Dulhanty C., Wong A., and Dickerson C.R, "Quantifying supraspinatus tendon responses to exposures emulative of human physiological levels in an animal model", Journal of Biomechanics, vol. 122, 2021. Get it here. Liu X., Yang X., Wang D., and Wong A, "Detecting Pulse Rates from Facial Videos Recorded in Unstable Lighting Conditions: An Adaptive Spatiotemporal Homomorphic Filter", IEEE Transactions on Instrumentation and Measurement, vol. 70, 2021. Get it here. Ebadi A., Xi P., Tremblay S., Spencer B., Pall R., and Wong A, "Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing", Scientometrics, vol. 126, pp. 725-739, 2021. Get it here. Abbasi S., Famouri M., Shafiee M.J., and Wong A, "Outliernets: Highly compact deep autoencoder network architectures for on-device acoustic anomaly detection", Sensors, vol. 21, 2021. Get it here. Lee P.Q., Xu L., and Clausi D.A, "Sentinel-1 additive noise removal from cross-polarization extra-wide TOPSAR with dynamic least-squares", Remote Sensing of Environment, vol. 127, 2020. Get it here. Yang L., Xu L., Peng J., Song Y., Wong A., and Clausi D.A, "Nonlocal Band-Weighted Iterative Spectral Mixture Model for Hyperspectral Imagery Denoising", IEEE Transactions on Geoscience and Remote Sensing, vol. 58, pp. 5588-5601, 2020. Get it here. Zhong Z., Li J., Clausi D.A., and Wong A, "Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification", IEEE Transactions on Cybernetics, vol. 50, pp. 3318-3329, 2020. Get it here. Hoekstra M., Jiang M., Clausi D.A., and Duguay C, "Lake ice-water classification of RADARSAT-2 images by integrating IRGS Segmentation with pixel-based random forest labeling", Remote Sensing, vol. 12, 2020. Get it here. Carrington A.M., Fieguth P.W., Qazi H., Holzinger A., Chen H.H., Mayr F., and Manuel D.G, "A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms", BMC Medical Informatics and Decision Making, vol. 20, 2020. Get it here. Naiel M.A., Ertay D.S., Vlasea M., and Fieguth P, "Adaptive vision-based detection of laser-material interaction for directed energy deposition", Additive Manufacturing, vol. 36, 2020. Get it here. Liu L., Ouyang W., Wang X., Fieguth P., Chen J., Liu X., and Pietikainen M, "Deep Learning for Generic Object Detection: A Survey", International Journal of Computer Vision, vol. 127, pp. 261-318, 2020. Get it here. Gong Z., Lin H., Zhang D., Luo Z., Zelek J., Chen Y., Nurunnabi A., Wang C., and Li J, "A Frustum-based probabilistic framework for 3D object detection by fusion of LiDAR and camera data", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 127, pp. 90-100, 2020. Get it here. Laschowski B., McNally W., Wong A., and McPhee J, "ExoNet Database: Wearable Camera Images of Human Locomotion Environments", Frontiers in Robotics and AI, vol. 7, 2020. Get it here. Gunraj H., Wang L., and Wong A, "COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest CT Images", Frontiers in Medicine, vol. 7, 2020. Get it here. Wang L., Lin Z.Q., and Wong A, "COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images", Scientific Reports, vol. 10, 2020. Get it here. Liu X., Yang X., Jin J., and Wong A, "Detecting Pulse Wave from Unstable Facial Videos Recorded from Consumer-Level Cameras: A Disturbance-Adaptive Orthogonal Matchin", IEEE Transactions on Biomedical Engineering, vol. 67, pp. 3352-3362, 2020. Get it here. Yu B., Xu L., Peng J., Hu Z., and Wong A, "Global chlorophyll- a concentration estimation from moderate resolution imaging spectroradiometer using convolutional neural net", Journal of Applied Remote Sensing, vol. 14, 2020. Get it here. Nazemi A., Azimifar Z., Shafiee M.J., and Wong A, "Real-Time Vehicle Make and Model Recognition Using Unsupervised Feature Learning", IEEE Transactions on Intelligent Transportation Systems, vol. 21, pp. 3080-3090, 2020. Get it here. Michalopoulos G., Qazi H., Wong A., Butt Z., and Chen H, "Automatic extraction of risk factors for dialysis patients from clinical notes using natural language processing techniques", Studies in Health Technology and Informatics, vol. 127, pp. 53-57, 2020. Get it here. Fewster K.M., Haider S., Gooyers C.E., Callaghan J., and Wong A, "A computerised system for measurement of the radial displacement of the intervertebral disc using a laser scanning device", Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, vol. 8, pp. 287-293, 2020. Get it here. Al-Jebrni A.H., Chwyl B., Wang X.Y., Wong A., and Saab B.J, "AI-enabled remote and objective quantification of stress at scale", Biomedical Signal Processing and Control, vol. 59, 2020. Get it here. Dulhanty C., Wang L., Cheng M., Gunraj H., Khalvati F., Haider M.A., and Wong A, "Radiomics driven diffusion weighted imaging sensing strategies for zone-level prostate cancer sensing", Sensors (Switzerland), vol. 20, 2020. Get it here. Yu J., Tang S., Zhangzhong L., Zheng W., Wang L., Wong A., and Xu L, "A deep learning approach for multi-depth soil water content prediction in summer maize growth period", IEEE Access, vol. 8, pp. 199097-199110, 2020. Get it here. Ghanbari M., Clausi D.A., Xu L., and Jiang M, "Contextual Classification of Sea-Ice Types Using Compact Polarimetric SAR Data", IEEE Transactions on Geoscience and Remote Sensing, vol. 57, pp. 7476-7491, 2019. Get it here. Fang Y., Hu Z., Xu L., Wong A., and Clausi D.A, "Estimation of Iron Concentration in Soil of A Mining Area from Uav-Based Hyperspectral Imagery", Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, vol. 127, 2019. Get it here. Wang C., Xu L., Clausi D.A., and Wong A, "A Bayesian Joint Decorrelation and Despeckling of SAR Imagery", IEEE Geoscience and Remote Sensing Letters, vol. 16, pp. 1393-1397, 2019. Get it here. Goetz J., Fieguth P., Kasiri K., Bodin X., Marcer M., and Brenning A, "Accounting for permafrost creep in high-resolution snow depth mapping by modelling sub-snow ground deformation", Remote Sensing of Environment, vol. 127, 2019. Get it here. Liu L., Chen J., Zhao G., Fieguth P., Chen X., and Pietikainen M, "Texture Classification in Extreme Scale Variations Using GANet", IEEE Transactions on Image Processing, vol. 28, pp. 3910-3922, 2019. Get it here. Liu L., Chen J., Fieguth P., Zhao G., Chellappa R., and Pietikainen M, "From BoW to CNN: Two Decades of Texture Representation for Texture Classification", International Journal of Computer Vision, vol. 127, pp. 74-109, 2019. Get it here. Liu J., Scott K.A., and Fieguth P.W, "Detection of marginal ice zone in Synthetic Aperture Radar imagery using curvelet-based features: A case study on the Canadian E", Journal of Applied Remote Sensing, vol. 13, 2019. Get it here. Leopold H.A., Orchard J., Zelek J.S., and Lakshminarayanan V, "PixelBNN: Augmenting the Pixelcnn with batch normalization and the presentation of a fast architecture for retinal vessel segmen", Journal of Imaging, vol. 5, 2019. Get it here. Wong A., Shafiee M.J., Chwyl B., and Li F, "Gensynth: A new way to understand deep learning", Electronics Letters, vol. 55, pp. 970-971, 2019. Get it here. Wong A., Shafiee M.J., Chwyl B., and Li F, "Gensynth: A generative synthesis approach to learning generative machines for generate efficient neural networks", Electronics Letters, vol. 55, pp. 986-989, 2019. Get it here. Famouri M., Azimifar Z., and Wong A, "A Novel Motion Plane-Based Approach to Vehicle Speed Estimation", IEEE Transactions on Intelligent Transportation Systems, vol. 20, pp. 1237-1246, 2019. Get it here. Amelard R., and Wong A, "Hemodynamic imaging", Encyclopedia of Biomedical Engineering, vol. 1, pp. 545-550, 2019. Get it here. Deglint J.L., Jin C., Chao A., and Wong A, "The Feasibility of Automated Identification of Six Algae Types Using Feed-Forward Neural Networks and Fluorescence-Based Spectra", IEEE Access, vol. 7, pp. 7041-7053, 2019. Get it here. Pfisterer K.J., Boger J., and Wong A, "Prototyping the automated food imaging and nutrient intake tracking system: Modified participatory iterative design sprint", JMIR Human Factors, vol. 6, 2019. Get it here.

Bright J., Balaji B., Chen Y., Clausi D.A., and Zelek J.S, "PitcherNet: Powering the Moneyball Evolution in Baseball Video Analytics", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2024. Get it here. Chen X., Patel M., Xu L., Chen Y., Clausi D.A., Andrea Scott K., and Huang W, "Pixel-Level Sea Ice Concentration Retrieval from Sentinel-1 SAR Imagery and Ancillary Data via Regional Loss Representations", Oceans Conference Record (IEEE), 2024. Get it here. Chen X., Patel M., Xu L., Scott K.A., Clausi D.A., and Huang W, "Enhancing Sea Ice Type Classification from AI4Arctic Dataset Based On Regional Loss Representations", International Geoscience and Remote Sensing Symposium (IGARSS), 2024. Get it here. Chomko 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. Huang Y., Chen Y., and Zelek J, "Zero-Shot Monocular Motion Segmentation in the Wild by Combining Deep Learning with Geometric Motion Model Fusion", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2024. Get it here. Abboud N., Sayour M., Elhajj I.H., Zelek J., and Asmar D, "Inline Photometrically Calibrated Hybrid Visual SLAM", IEEE International Conference on Intelligent Robots and Systems, 2024. Get it here. Tai C.-E.A., Gunraj H., Hodzic N., Flanagan N., Sabri A., and Wong A, "Enhancing Clinical Support for Breast Cancer with Deep Learning Models Using Synthetic Correlated Diffusion Imaging", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2024. Get it here. Zhu Z., Parker W., and Wong A, "Microplastic Mass Quantification Using Focal Plane Array-Based Micro-Fourier-Transform Infrared Imaging", Environmental Engineering Science, 2024. Get it here. Sharma A., Czarnecki C., Chen Y., Xi P., Xu L., and Wong A, "How Much You Ate? Food Portion Estimation on Spoons", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 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., Scott K.A., and Clausi D.A, "Uncertainty Analysis of Sea Ice and Open Water Classification on SAR Imagery Using a Bayesian CNN", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023. Get it here. Patel M., Chen X., Xu L., Pena Cantu F.J., Noa Turnes J., Brubacher N.C., Clausi D.A., and Scott K.A, "The Influence of Input Image Scale on Deep Learning-Based Beluga Whale Detection from Aerial Remote Sensing Imagery", International Geoscience and Remote Sensing Symposium (IGARSS), 2023. Get it here. Xu L., Fang Y., Chen X., and Clausi D.A, "Light-Weighted Explainable Dual Transformer Network for Hyperspectral Image Classification", International Geoscience and Remote Sensing Symposium (IGARSS), 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. Nazemi A., Moustafa Z., and Fieguth P, "CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2023. Get it here. Torenvliet N., Liu Y., and Zelek J, "Automating Safety Critical Ultrasonic Data Analysis with a Variational Auto-Encoder", 2023 IEEE Sensors Applications Symposium, SAS 2023 - Proceedings, 2023. Get it here. Chacra D.A., and Zelek J, "Naive Scene Graphs: How Visual is Modern Visual Relationship Detection?", Proceedings - 2023 20th Conference on Robots and Vision, CRV 2023, 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. Vanberlo B., Li B., Wong A., Hoey J., and Arntfield R, "Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasou", 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. Jiang M., Chen X., Xu L., and Clausi D.A, "Semi-Supervised Sea Ice Classification of SAR Imagery Based on Graph Convolutional Network", International Geoscience and Remote Sensing Symposium (IGARSS), 2022. Get it here. Gebotys B., Wong A., and Clausi D.A, "M2A: Motion Aware Attention for Accurate Video Action Recognition", Proceedings - 2022 19th Conference on Robots and Vision, CRV 2022, 2022. Get it here. Vats K., McNally W., Walters P., Clausi D.A., and Zelek J.S, "Ice hockey player identification via transformers and weakly supervised learning", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2022. Get it here. Tweel J., Pellegrino N., Ecclestone B.R., Fieguth P., and Reza P.H, "Tissue-Specific Labelling using Temporal Feature Extraction in Photoacoustic Remote Sensing Microscopy", Optics InfoBase Conference Papers, 2022. Get it here. Boktor M., Ecclestone B., Pekar V., Dinakaran D., MacKey J.R., Fieguth P., and Reza P.H, "Deep-Learning-Based Virtual H&E Staining Using Total-Absorption Photoacoustic Remote Sensing (TA-PARS)", Optics InfoBase Conference Papers, 2022. Get it here. Arnold K., Fieguth P., and Lamm M, "A Moving Camera and Synthetic Calibration Target Solution for Non-Planar Scene Estimation and Projector Calibration", Digest of Technical Papers - SID International Symposium, 2022. Get it here. Raisi Z., Naiel M.A., Younes G., Fieguth P., and Zelek J, "Smart text reader system for people who are blind using machine and deep learning", Machine Learning Algorithms for Signal and Image Processing, 2022. Get it here. Raisi Z., Younes G., and Zelek J, "Arbitrary Shape Text Detection using Transformers", Proceedings - International Conference on Pattern Recognition, 2022. Get it here. Lee P.Q., Zelek J.S., and Mombaur K, "Simulating and Optimizing Nasopharyngeal Swab Insertion Paths for use in Robotics", Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, 2022. Get it here. Samaha K., Younes G., Asmar D., and Zelek J, "Learned Intrinsic Auto-Calibration From Fundamental Matrices", Proceedings - 2022 19th Conference on Robots and Vision, CRV 2022, 2022. Get it here. Raisi Z., and Zelek J, "Occluded Text Detection and Recognition in the Wild", Proceedings - 2022 19th Conference on Robots and Vision, CRV 2022, 2022. Get it here. Chacra D.A., and Zelek J, "The Topology and Language of Relationships in the Visual Genome Dataset", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2022. 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. Michalopoulos G., Malyska M., Sahar N., Wong A., and Chen H, "ICDBigBird: A Contextual Embedding Model for ICD Code Classification", Proceedings of the Annual Meeting of the Association for Computational Linguistics, 2022. Get it here. Xu C., Famouri M., Bathla G., Nair S., Shafiee M.J., and Wong A, "CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection", Proceedings - 2022 19th Conference on Robots and Vision, CRV 2022, 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. Gilles M., Chen Y., Robin Winter T., Zhixuan Zeng E., and Wong A, "MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis", IEEE International Conference on Automation Science and Engineering, 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. Abedi H., Morita P.P., Boger J., Wong A., and Shaker G, "Unsupervised Learning for Hallway Gait Analysis using FMCW Radar", 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings, 2022. Get it here. Zhu K., Wong A., and McPhee J, "FenceNet: Fine-grained Footwork Recognition in Fencing", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 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. Farsangi S., Naiel M.A., Lamm M., and Fieguth P, "Efficient direct-block-address encoding for single-shot-based 3d reconstruction", Digest of Technical Papers - SID International Symposium, 2021. Get it here. Sadatsharifi K., Naiel M.A., Lamm M., and Fieguth P, "Efficient Model Based Grid Intersection Detection for Single-Shot 3D Reconstruction", Canadian Conference on Electrical and Computer Engineering, 2021. Get it here. Raisi Z., Naiel M.A., Younes G., Wardell S., and Zelek J, "2LSPE: 2D Learnable Sinusoidal Positional Encoding using Transformer for Scene Text Recognition", Proceedings - 2021 18th Conference on Robots and Vision, CRV 2021, 2021. Get it here. Raisi Z., Naiel M.A., Younes G., Wardell S., and Zelek J.S, "Transformer-based text detection in the wild", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2021. Get it here. McNally W., Walters P., Vats K., Wong A., and McPhee J, "DeepDarts: Modeling keypoints as objects for automatic scorekeeping in darts using a single camera", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2021. Get it here. Yun S., and Wong A, "Do all mobilenets quantize poorly? gaining insights into the effect of quantization on depthwise separable convolutional network", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2021. Get it here. MacLean A., Abbasi S., Ebadi A., Zhao A., Pavlova M., Gunraj H., Xi P., Kohli S., and Wong A, "COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 P", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2021. Get it here. Laschowski B., McNally W., Wong A., and McPhee J, "Computer Vision and Deep Learning for Environment-Adaptive Control of Robotic Lower-Limb Exoskeletons", Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2021. Get it here. Liu X., Yang X., Meng Z., Wang Y., Zhang J., and Wong A, "MANet: A Motion-Driven Attention Network for Detecting the Pulse from a Facial Video with Drastic Motions", Proceedings of the IEEE International Conference on Computer Vision, 2021. Get it here. Abedi H., Ansariyan A., Morita P.P., Boger J., Wong A., and Shaker G, "Sequential Deep Learning for In-Home Activity Monitoring Using mm-Wave FMCW Radar", 2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings, 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. Lee P.Q., Xu L., and Clausi D.A, "Recalibrating Sentinel-1 Additive Noise-Gain with Linear Programming", 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., Athwale A., Gulati T., Zelek J., and Lakshminarayanan V, "Funsyn-Net: Enhanced residual variational auto-encoder and image-to-image translation network for fundus image synthesis", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2020. Get it here. Singh A., Mohammed A.R., Zelek J., and Lakshminarayanan V, "Interpretation of deep learning using attributions: Application to ophthalmic diagnosis", Proceedings of SPIE - The International Society for Optical Engineering, 2020. Get it here. Minhas M.S., and Zelek J, "Defect detection using deep learning from minimal annotations", VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2020. Get it here. Laschowski B., McNally W., Wong A., and McPhee J, "Comparative Analysis of Environment Recognition Systems for Control of Lower-Limb Exoskeletons and Prostheses", Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, 2020. Get it here. Hou Lee J.R., and Wong A, "TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition", Proceedings - 2020 17th Conference on Computer and Robot Vision, CRV 2020, 2020. Get it here. Kumar D., Siva P., Marchwica P., and Wong A, "Unsupervised domain adaptation in person re-ID via k-reciprocal clustering and large-scale heterogeneous environment synthesis", Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020, 2020. Get it here. Jeddi A., Shafiee M.J., Karg M., Scharfenberger C., and Wong A, "Learn2Perturb: An end-to-end feature perturbation learning to improve adversarial robustness", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2020. Get it here. Zhong Z., Lin Z.Q., Bidart R., Hu X., Daya I.B., Li Z., Zheng W.-S., Li J., and Wong A, "Squeeze-And-Attention networks for semantic segmentation", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2020. Get it here. Chen Y., Wu Y., Xu L., and Wong A, "Quantization in relative gradient angle domain for building polygon estimation", Proceedings - International Conference on Pattern Recognition, 2020. Get it here. Cai Z., Neher H., Vats K., Clausi D.A., and Zelek J, "Temporal hockey action recognition via pose and optical flows", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Vats K., Neher H., Clausi D.A., and Zelek J, "Two-stream action recognition in ice hockey using player pose sequences and optical flows", Proceedings - 2019 16th Conference on Computer and Robot Vision, CRV 2019, 2019. Get it here. Fani M., Vats K., Dulhanty C., Clausi D.A., and Zelek J, "Pose-projected action recognition hourglass network (PARHN) in soccer", Proceedings - 2019 16th Conference on Computer and Robot Vision, CRV 2019, 2019. Get it here. Chung A.G., Fieguth P., and Wong A, "Assessing architectural similarity in populations of deep neural networks", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. 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. Post M., Fieguth P., Naiel M.A., Azimifar Z., and Lamm M, "FRESCO: Fast radiometric egocentric screen compensation", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Saffih F., and Fieguth P, "Vehicle Longitudinal Acceleration Determination from Mobile Phone Sensor: An IoT System Solution for Intelligent Transportation", 2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018, 2019. Get it here. Bello-Cerezo R., Fieguth P., and Bianconi F, "LBP-motivated colour texture classification", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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. Younes G., Asmar D., and Zelek J, "A Unified Formulation for Visual Odometry^∗", IEEE International Conference on Intelligent Robots and Systems, 2019. Get it here. Younes G., Asmar D., and Zelek J, "FDMO: Feature assisted direct monocular odometry", VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2019. Get it here. Barritt N., Kuppuswamy Parthasarathy M., Faruq I., Zelek J., and Lakshminarayanan V, "Fundus camera versus smartphone camera attachment: Image quality analysis", Proceedings of SPIE - The International Society for Optical Engineering, 2019. Get it here. Sengupta S., Singh A., Zelek J., and Lakshminarayanan V, "Cross-domain diabetic retinopathy detection using deep learning", Proceedings of SPIE - The International Society for Optical Engineering, 2019. Get it here. Hosseinaee Z., Tan B., Kralj O., Han L., Wong A., Sorbara L., and Bizheva K, "Fully automated corneal nerve segmentation algorithm for corneal nerves analysis from in-vivo UHR-OCT images", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2019. Get it here. McNally W., Vats K., Pinto T., Dulhanty C., McPhee J., and Wong A, "GolfDB: A video database for golf swing sequencing", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Laschowski B., McNally W., Wong A., and McPhee J, "Preliminary design of an environment recognition system for controlling robotic lower-limb prostheses and exoskeletons", IEEE International Conference on Rehabilitation Robotics, 2019. Get it here. McNally W., Wong A., and McPhee J, "STAR-Net: Action recognition using spatiooral activation reprojection", Proceedings - 2019 16th Conference on Computer and Robot Vision, CRV 2019, 2019. Get it here. Daya I.B., Yeow J.T.W., and Wong A, "Compensated row-column ultrasound imaging systems with data-driven point spread function learning", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019. Get it here. Pfisterer K.J., Amelard R., Syrnyk B., and Wong A, "Towards computer vision powered color-nutrient assessment of puréed food", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Shafiee M.S., Shafiee M.J., and Wong A, "Dynamic representations toward efficient inference on deep neural networks by decision gates", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Wong A., Lin Z.Q., and Chwyl B, "AttoNets: Compact and efficient deep neural networks for the edge via human-machine collaborative design", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Neher H., Arlette J., and Wong A, "Discovery radiomics for detection of severely atypical melanocytic lesions (saml) from skin imaging via deep residual group conv", 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, "Investigating the automatic classification of algae using the spectral and morphological characteristics via deep residual learn", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019. Get it here. Orumi M.A.B., Sepanj M.H., Famouri M., Azimifar Z., and Wong A, "Unsupervised deep shape from template", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019. Get it here. Kazemzadeh F., Li-Chang H., and Wong A, "Enhanced spectral lightfield fusion microscopy via deep computational optics for whole-slide pathology", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2019. Get it here. Kabiljagic D., and Wong A, "Resolution-enhanced digital epiluminescence microscopy using deep computational optics", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 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. Wong A., Famuori M., Shafiee M.J., Li F., Chwyl B., and Chung J, "YOLO Nano: A Highly Compact You only Look Once Convolutional Neural Network for Object Detection", Proceedings - 5th Workshop on Energy Efficient Machine Learning and Cognitive Computing, EMC2-NIPS 2019, 2019. Get it here. Kumar D., Neher H., Das A., Clausi D.A., and Waslander S.L, "Condition and viewpoint invariant omni-directional place recognition using CNN", Proceedings - 2017 14th Conference on Computer and Robot Vision, CRV 2017, 2018. 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.