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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. Viggiani D., Mannen E.M., Nelson-Wong E., Wong A., Ghiselli G., Shelburne K.B., Davidson B.S., and Callaghan J.P, "Lumbar intervertebral kinematics during an unstable sitting task and its association with standing-induced low back pain", Journal of Applied Biomechanics, vol. 36, pp. 423-435, 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., Noguchi M., Gooyers C.E., Wong A., and Callaghan J.P, "Exploring the regional disc bulge response of the cervical porcine intervertebral disc under varying loads and posture", Journal of Biomechanics, vol. 104, 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. Soltani-Sarvestani M.A., Azimifar Z., Wong A., and Safavi A.A, "An Innovative Eigenvector-Based Method for Traffic Light Scheduling", Journal of Advanced Transportation, vol. 127, 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.

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. Abedi H., Ansariyan A., Morita P.P., Boger J., Wong A., and Shaker G, "In-Home Cluttered Environment Gait Analysis using mm-Wave Radar", 2024 IEEE MTT-S International Microwave Biomedical Conference, IMBioC 2024, 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. 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., 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. Chen X., Valencia R., Soleymani A., Scott K.A., Jiang M., Xu L., and Clausi D.A, "Uncertainty-Incorporated Arctic Sea Ice Concentration Estimation Using Heteroscedastic Bayesian Neural Networks", 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. Park J., Kaai K., Hossain S., Sumi N., Rambhatla S., and Fieguth P, "Domain-Guided Spatio-Temporal Self-Attention for Egocentric 3D Pose Estimation", Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 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. Kevin Zhu A., Wong A., and McPhee J, "VICE: View-Invariant Chess Estimation", International Conference on Sport Sciences Research and Technology Support, icSPORTS - Proceedings, 2023. Get it here. Abedi H., Ansariyan A., Morita P.P., Wong A., Boger J., and Shaker G, "AI-Assisted Markerless Activity Tracking System for Supporting Aging and Wellness", 2023 IEEE Microwaves, Antennas, and Propagation Conference, MAPCON 2023, 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. Carrington A.M., Fieguth P.W., Mayr F., James N.D., Holzinger A., Pickering J.W., and Aviv R.I, "The ROC Diagonal is Not Layperson’s Chance: A New Baseline Shows the Useful Area", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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. Abedi H., Ansariyan A., Lehman C., Morita P.P., Boger J., Wong A., and Shaker G, "Non-Visual and Contactless Wellness Monitoring for Long Term Care Facilities Using mm-Wave Radar Sensors", Proceedings of IEEE Sensors, 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. Michalopoulos G., McKillop I., Wong A., and Chen H, "LexSubCon: Integrating Knowledge from Lexical Resources into Contextual Embeddings for Lexical Substitution", 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. Gebotys B., Wong A., and Clausi D, "POOF: Efficient Goalie Pose Annotation using Optical Flow", International Conference on Sport Sciences Research and Technology Support, icSPORTS - Proceedings, 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. Chuna A.G., Pavlova M., Gunraj H., Terhljan N., Maclean A., Aboutalebi H., Surana S., Zhao A., Abbasi S., and Wong A, "COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow", Canadian Conference on Electrical and Computer Engineering, 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. Abedi H., Morita P.P., Boger J., Wong A., and Shaker G, "In-Package Integrated Dielectric Lens Paired with a MIMO mm-Wave Radar for Corridor Gait Monitoring", 2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings, 2021. Get it here. Michalopoulos G., Wang Y., Kaka H., Chen H., and Wong A, "UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesauru", NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 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., 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. 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. Dulhanty C., and Wong A, "Investigating the impact of inclusion in face recognition training data on individual face identification", AIES 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 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.