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Andy Wong
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- affiliation: University of Waterloo, Ontario, Canada
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2020 – today
- 2025
[i222]Jarett Dewbury, Chi-En Amy Tai, Alexander Wong:
Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging. CoRR abs/2501.09185 (2025)- [i221]Jingyang Lin, Andy Wong, Tian Xia, Shenghua He, Hui Wei, Mei Han, Jiebo Luo:
Facilitating Long Context Understanding via Supervised Chain-of-Thought Reasoning. CoRR abs/2502.13127 (2025) - [i220]Chang Liu, Bavesh Balaji, Saad Hossain, C. Thomas, Kwei-Herng Lai, Raviteja Vemulapalli, Alexander Wong, Sirisha Rambhatla:
LangDA: Building Context-Awareness via Language for Domain Adaptive Semantic Segmentation. CoRR abs/2503.12780 (2025) - 2024
- [j150]Hossein Aboutalebi
, Mohammad Javad Shafiee, Chi-En Amy Tai, Alexander Wong:
Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating. IEEE Access 12: 48174-48188 (2024) - [j149]Dayou Mao, Yuhao Chen, Yifan Wu, Maximilian Gilles, Alexander Wong:
Rethinking Resource Competition in Multi-Task Learning: From Shared Parameters to Shared Representation. IEEE Access 12: 128717-128728 (2024) - [j148]Alexander Wong, Yuhao Chen, Jan Seyler:
Introduction to the special issue on Innovative Applications of Artificial Intelligence (IAAI 2024). AI Mag. 45(4): 440-442 (2024) - [j147]Blake VanBerlo, Jesse Hoey, Alexander Wong:
A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound. BMC Medical Imaging 24(1): 79 (2024) - [j146]Dening Lu, Shimon Schwartz, Linlin Xu, Mohammad Javad Shafiee, Norman G. Vinson, Krzysztof J. Czarnecki, Alexander Wong:
Integrating deep transformer and temporal convolutional networks for SMEs revenue and employment growth prediction. Expert Syst. Appl. 252: 124129 (2024) - [j145]Andy Wong, Mehran Taghian Jazi, Tomoharu Takeuchi, Johannes Günther, Osmar Zaïane:
General value functions for fault detection in multivariate time series data. Frontiers Robotics AI 11 (2024) - [j144]Bo Zhang, Anand Vasani, Ashutosh Sinha, Alireza Nilchi, Haitao Tong, Lakshmi P. Rao, Karapet Khanoyan, Hamid Hatamkhani, Xiaochen Yang, Xin Meng, Alexander Wong, Jun Kim, Ping Jing, Yehui Sun, Ali Nazemi, Dean Liu, Anthony Brewster, Jun Cao, Afshin Momtaz:
A 112-Gb/s Serial Link Transceiver With Three-Tap FFE and 18-Tap DFE Receiver for up to 43-dB Insertion Loss Channel in 7-nm FinFET Technology. IEEE J. Solid State Circuits 59(1): 8-18 (2024) - [j143]Salman Khan, Alexander Wong, Bryan P. Tripp:
Modeling the Role of Contour Integration in Visual Inference. Neural Comput. 36(1): 33-74 (2024) - [j142]Parthipan Siva, Alexander Wong, Patricia Hewston, George Ioannidis, Jonathan Adachi, Alexander Rabinovich, Andrea Lee, Alexandra Papaioannou:
Automatic Radar-Based Step Length Measurement in the Home for Older Adults Living with Frailty. Sensors 24(4): 1056 (2024) - [j141]E. Zhixuan Zeng, Ashkan Ebadi, Adrian Florea, Alexander Wong:
COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring. Sensors 24(5): 1664 (2024) - [j140]Maximilian Gilles, Yuhao Chen, E. Zhixuan Zeng, Yifan Wu, Kai Furmans, Alexander Wong, Rania Rayyes:
MetaGraspNetV2: All-in-One Dataset Enabling Fast and Reliable Robotic Bin Picking via Object Relationship Reasoning and Dexterous Grasping. IEEE Trans Autom. Sci. Eng. 21(3): 2302-2320 (2024) - [c205]Qasim Ali, Yuhao Chen, Alexander Wong:
RepViT-MedSAM: Efficient Segment Anything in the Medical Images. MedSAM@CVPR 2024: 195-205 - [c204]Aaryam Sharma, Chris Czarnecki, Yuhao Chen, Pengcheng Xi, Linlin Xu, Alexander Wong:
How Much You Ate? Food Portion Estimation on Spoons. CVPR Workshops 2024: 3761-3770 - [c203]Yaoxin Li, Deepak Sridhar, Hanwen Liang, Alexander Wong:
Spot the Difference! Temporal Coarse to Fine to Finer Difference Spotting for Action Recognition in Videos. ICME 2024: 1-6 - [c202]Neel Patel, Alexander Wong, Ashkan Ebadi:
Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks. ICMLA 2024: 794-797 - [c201]Vasyl Chomko, Yuhao Chen, David A. Clausi, Alexander Wong:
Synthetic Local Data Augmentation. MMSP 2024: 1-6 - [d2]Brokoslaw Laschowski, William J. McNally, Alexander Wong, John McPhee:
ExoNet Database: Wearable Camera Images of Human Locomotion Environments. IEEE DataPort, 2024
- [i219]Parthipan Siva, Alexander Wong, Patricia Hewston, George Ioannidis, Jonathan Adachi, Alexander Rabinovich, Andrea Lee, Alexandra Papaioannou:
Step length measurement in the wild using FMCW radar. CoRR abs/2401.01868 (2024) - [i218]Chi-En Amy Tai, Saeejith Nair, Olivia Markham, Matthew Keller, Yifan Wu, Yuhao Chen, Alexander Wong:
NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation. CoRR abs/2401.08598 (2024) - [i217]Dayou Mao, Yuhao Chen, Yifan Wu, Maximilian Gilles, Alexander Wong:
Robust Analysis of Multi-Task Learning on a Complex Vision System. CoRR abs/2402.03557 (2024) - [i216]Blake VanBerlo, Alexander Wong, Jesse Hoey, Robert Arntfield:
Intra-video Positive Pairs in Self-Supervised Learning for Ultrasound. CoRR abs/2403.07715 (2024) - [i215]Bavesh Balaji, Jerrin Bright, Sirisha Rambhatla, Yuhao Chen, Alexander Wong, John S. Zelek, David A. Clausi:
Domain-Guided Masked Autoencoders for Unique Player Identification. CoRR abs/2403.11328 (2024) - [i214]Akil Pathiranage, Chris Czarnecki, Yuhao Chen, Pengcheng Xi, Linlin Xu, Alexander Wong:
In The Wild Ellipse Parameter Estimation for Circular Dining Plates and Bowls. CoRR abs/2405.07121 (2024) - [i213]Matthew Keller, Chi-En Amy Tai, Yuhao Chen, Pengcheng Xi, Alexander Wong:
NutritionVerse-Direct: Exploring Deep Neural Networks for Multitask Nutrition Prediction from Food Images. CoRR abs/2405.07814 (2024) - [i212]Chi-En Amy Tai, Alexander Wong:
Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction. CoRR abs/2405.07854 (2024) - [i211]Chi-En Amy Tai, Alexander Wong:
Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging. CoRR abs/2405.07861 (2024) - [i210]Chi-En Amy Tai, Alexander Wong:
Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer. CoRR abs/2405.07869 (2024) - [i209]Chi-En Amy Tai, Alexander Wong:
Optimizing Synthetic Correlated Diffusion Imaging for Breast Cancer Tumour Delineation. CoRR abs/2405.08049 (2024) - [i208]Aaryam Sharma, Chris Czarnecki, Yuhao Chen, Pengcheng Xi, Linlin Xu, Alexander Wong:
How Much You Ate? Food Portion Estimation on Spoons. CoRR abs/2405.08717 (2024) - [i207]E. Zhixuan Zeng, Yuhao Chen, Alexander Wong:
Understanding the Limitations of Diffusion Concept Algebra Through Food. CoRR abs/2406.03582 (2024) - [i206]Neel Patel, Alexander Wong, Ashkan Ebadi:
Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks. CoRR abs/2406.13750 (2024) - [i205]Jiangpeng He, Yuhao Chen, Gautham Vinod, Talha Ibn Mahmud, Fengqing Zhu, Edward J. Delp, Alexander Wong, Pengcheng Xi, Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva, Jiadong Tang, Dianyi Yang, Yu Gao, Zhaoxiang Liang, Yawei Jueluo, Chengyu Shi, Pengyu Wang:
MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results. CoRR abs/2407.09285 (2024) - [i204]Hui Wei, Shenghua He, Tian Xia, Andy Wong, Jingyang Lin, Mei Han:
Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates. CoRR abs/2408.13006 (2024) - [i203]Yuhao Chen, Jiangpeng He, Chris Czarnecki, Gautham Vinod, Talha Ibn Mahmud, Siddeshwar Raghavan, Jinge Ma, Dayou Mao, Saeejith Nair, Pengcheng Xi, Alexander Wong, Edward J. Delp, Fengqing Zhu:
MetaFood3D: Large 3D Food Object Dataset with Nutrition Values. CoRR abs/2409.01966 (2024) - [i202]E. Zhixuan Zeng, Yuhao Chen, Alexander Wong:
Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts. CoRR abs/2410.21314 (2024) - [i201]Benjamin Ng, Chi-En Amy Tai, E. Zhixuan Zeng, Alexander Wong:
Enhancing Trust in Clinically Significant Prostate Cancer Prediction with Multiple Magnetic Resonance Imaging Modalities. CoRR abs/2411.04662 (2024) - [i200]Chi-En Amy Tai, Oustan Ding, Alexander Wong:
Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer Classification. CoRR abs/2411.05269 (2024) - 2023
- [j139]Maziar Gomrokchi, Susan Amin, Hossein Aboutalebi, Alexander Wong, Doina Precup:
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning. IEEE Access 11: 42796-42808 (2023) - [j138]Blake VanBerlo, Brian Li, Jesse Hoey, Alexander Wong:
Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks. IEEE Access 11: 135696-135707 (2023) - [j137]Ehsan Zare Bidaki, Alexander Wong, Paul Murphy:
A Novel System for Ocular Surface Temperature Measurement and Tracking. IEEE Access 11: 140893-140899 (2023) - [j136]Karen Zita Haigh, Alexander Wong, Yuhao Chen:
Introduction to the special issue on Innovative Applications of Artificial Intelligence (IAAI 2023). AI Mag. 44(4): 352-353 (2023) - [j135]Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong:
SolderNet: Towards trustworthy visual inspection of solder joints in electronics manufacturing using explainable artificial intelligence. AI Mag. 44(4): 442-452 (2023) - [j134]Hajar Abedi, Ahmad Ansariyan, Plinio P. Morita, Alexander Wong, Jennifer Boger, George Shaker:
AI-Powered Noncontact In-Home Gait Monitoring and Activity Recognition System Based on mm-Wave FMCW Radar and Cloud Computing. IEEE Internet Things J. 10(11): 9465-9481 (2023) - [j133]Hajar Abedi, Jennifer Boger, Plinio Pelegrini Morita, Alexander Wong, George Shaker:
Hallway Gait Monitoring System Using an In-Package Integrated Dielectric Lens Paired with a mm-Wave Radar. Sensors 23(1): 71 (2023) - [j132]Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong:
COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound. Sensors 23(5): 2621 (2023) - [j131]Kai Ma, Siyuan He, Grant Sinha, Ashkan Ebadi, Adrian Florea, Stéphane Tremblay, Alexander Wong, Pengcheng Xi:
Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis. Sensors 23(19): 8122 (2023) - [j130]Yuan Fang, Yuxian Wang, Linlin Xu, Yujia Chen, Alexander Wong, David A. Clausi:
Unsupervised Bayesian Subpixel Mapping Autoencoder Network for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [c200]Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong:
SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence. AAAI 2023: 15668-15674 - [c199]Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong:
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments. AAAI 2023: 15745-15751 - [c198]Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng, Robbie Meyer, Maximilian Gilles, Alexander Wong:
MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy. CVPR Workshops 2023: 68-77 - [c197]Andrew Hryniowski, Alexander Wong:
Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis. CVPR Workshops 2023: 2284-2292 - [c196]Alexander Wong, Yifan Wu, Saad Abbasi, Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee:
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge. CVPR Workshops 2023: 2293-2297 - [c195]Blake VanBerlo, Brian Li, Alexander Wong, Jesse Hoey, Robert Arntfield:
Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound. CVPR Workshops 2023: 3077-3086 - [c194]Zepeng Liu, Zhicheng Yang, Mingye Zhu, Andy Wong, Yibing Wei, Mei Han, Jun Yu, Jui-Hsin Lai:
SAGE-NDVI: A Stereotype-Breaking Evaluation Metric for Remote Sensing Image Dehazing Using Satellite-to-Ground NDVI Knowledge. ICME Workshops 2023: 462-465 - [c193]Kevin Zhu, Alexander Wong, John McPhee:
VICE: View-Invariant Chess Estimation. icSPORTS 2023: 50-60 - [c192]Bo Zhang, Anand Vasani, Ashutosh Sinha, Alireza Nilchi, Haitao Tong, Lakshmi P. Rao, Karapet Khanoyan, Hamid Hatamkhani, Xiaochen Yang, Xin Meng, Alexander Wong, Jun Kim, Ping Jing, Yehui Sun, Ali Nazemi, Dean Liu, Anthony Brewster, Jun Cao, Afshin Momtaz:
A 112Gb/s Serial Link Transceiver With 3-tap FFE and 18-tap DFE Receiver for up to 43dB Insertion Loss Channel in 7nm FinFET Technology. ISSCC 2023: 108-109 - [c191]Chi-En Amy Tai, Matthew Keller, Saeejith Nair, Yuhao Chen, Yifan Wu, Olivia Markham, Krish Parmar, Pengcheng Xi, Heather H. Keller, Sharon Kirkpatrick, Alexander Wong:
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches. MADiMa@MM 2023: 11-19 - [c190]Chi-En Amy Tai, Hayden Gunraj, Nedim Hodzic, Nic Flanagan, Ali Sabri, Alexander Wong:
Enhancing Clinical Support for Breast Cancer with Deep Learning Models Using Synthetic Correlated Diffusion Imaging. AMAI@MICCAI 2023: 83-93 - [i199]Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong:
COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images. CoRR abs/2301.01679 (2023) - [i198]Brian Li, Steven Palayew, Francis Li, Saad Abbasi, Saeejith Nair, Alexander Wong:
PCBDet: An Efficient Deep Neural Network Object Detection Architecture for Automatic PCB Component Detection on the Edge. CoRR abs/2301.09268 (2023) - [i197]Vignesh Sivan, Teodora Vujovic, Raj Ranabhat, Alexander Wong, Stewart McLachlin, Michael R. Hardisty:
Recurrence With Correlation Network for Medical Image Registration. CoRR abs/2302.02283 (2023) - [i196]Blake VanBerlo, Brian Li, Alexander Wong, Jesse Hoey, Robert Arntfield:
Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound. CoRR abs/2304.02724 (2023) - [i195]E. Zhixuan Zeng, Yuhao Chen, Alexander Wong:
ShapeShift: Superquadric-based Object Pose Estimation for Robotic Grasping. CoRR abs/2304.04861 (2023) - [i194]Chi-En Amy Tai, Matthew Keller, Mattie Kerrigan, Yuhao Chen, Saeejith Nair, Pengcheng Xi, Alexander Wong:
NutritionVerse-3D: A 3D Food Model Dataset for Nutritional Intake Estimation. CoRR abs/2304.05619 (2023) - [i193]Chi-En Amy Tai, Jason Li, Sriram Kumar, Saeejith Nair, Yuhao Chen, Pengcheng Xi, Alexander Wong:
NutritionVerse-Thin: An Optimized Strategy for Enabling Improved Rendering of 3D Thin Food Models. CoRR abs/2304.05620 (2023) - [i192]Chi-En Amy Tai, Hayden Gunraj, Alexander Wong:
A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data. CoRR abs/2304.05623 (2023) - [i191]Chi-En Amy Tai, Hayden Gunraj, Alexander Wong:
Cancer-Net BCa-S: Breast Cancer Grade Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging. CoRR abs/2304.05899 (2023) - [i190]Alexander Wong, Yifan Wu, Saad Abbasi, Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee:
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge. CoRR abs/2304.11196 (2023) - [i189]Hossein Aboutalebi, Dayou Mao, Carol Xu, Alexander Wong:
DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection. CoRR abs/2306.01272 (2023) - [i188]Zepeng Liu, Zhicheng Yang, Mingye Zhu, Andy Wong, Yibing Wei, Mei Han, Jun Yu, Jui-Hsin Lai:
SAGE-NDVI: A Stereotype-Breaking Evaluation Metric for Remote Sensing Image Dehazing Using Satellite-to-Ground NDVI Knowledge. CoRR abs/2306.06288 (2023) - [i187]E. Zhixuan Zeng, Hayden Gunraj, Sheldon Fernandez, Alexander Wong:
Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability. CoRR abs/2306.08780 (2023) - [i186]Grant Sinha, Krish Parmar, Hilda Azimi, Chi-En Amy Tai, Yuhao Chen, Alexander Wong, Pengcheng Xi:
Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions. CoRR abs/2306.09203 (2023) - [i185]Andrew Hryniowski, Alexander Wong:
Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis. CoRR abs/2306.10128 (2023) - [i184]Marjan Shahi, David A. Clausi, Alexander Wong:
GoalieNet: A Multi-Stage Network for Joint Goalie, Equipment, and Net Pose Estimation in Ice Hockey. CoRR abs/2306.15853 (2023) - [i183]Alexander Wong, Saad Abbasi, Saeejith Nair:
TurboViT: Generating Fast Vision Transformers via Generative Architecture Search. CoRR abs/2308.11421 (2023) - [i182]Blake VanBerlo, Jesse Hoey, Alexander Wong:
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images. CoRR abs/2309.02555 (2023) - [i181]Blake VanBerlo, Brian Li, Jesse Hoey, Alexander Wong:
Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks. CoRR abs/2309.02596 (2023) - [i180]Chi-En Amy Tai, Matthew Keller, Saeejith Nair, Yuhao Chen, Yifan Wu, Olivia Markham, Krish Parmar, Pengcheng Xi, Heather H. Keller, Sharon Kirkpatrick, Alexander Wong:
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches. CoRR abs/2309.07704 (2023) - [i179]Stone Yun, Alexander Wong:
GHN-QAT: Training Graph Hypernetworks to Predict Quantization-Robust Parameters of Unseen Limited Precision Neural Networks. CoRR abs/2309.13773 (2023) - [i178]Joey Kuang, Alexander Wong:
On Calibration of Modern Quantized Efficient Neural Networks. CoRR abs/2309.13866 (2023) - [i177]Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee, Alexander Wong:
NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields. CoRR abs/2309.14293 (2023) - [i176]Hayden Gunraj, Chi-En Amy Tai, Alexander Wong:
Cancer-Net PCa-Data: An Open-Source Benchmark Dataset for Prostate Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data. CoRR abs/2311.11647 (2023) - [i175]Chi-En Amy Tai, Elizabeth Janes, Chris Czarnecki, Alexander Wong:
Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images. CoRR abs/2311.11656 (2023) - [i174]Yifan Wu, Hayden Gunraj, Chi-En Amy Tai, Alexander Wong:
COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics. CoRR abs/2311.17677 (2023) - [i173]Aditya Sridhar, Chi-En Amy Tai, Hayden Gunraj, Yuhao Chen, Alexander Wong:
Cancer-Net PCa-Gen: Synthesis of Realistic Prostate Diffusion Weighted Imaging Data via Anatomic-Conditional Controlled Latent Diffusion. CoRR abs/2311.18612 (2023) - [i172]Olivia Markham, Yuhao Chen, Chi-En Amy Tai, Alexander Wong:
FoodFusion: A Latent Diffusion Model for Realistic Food Image Generation. CoRR abs/2312.03540 (2023) - [i171]Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong:
DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence. CoRR abs/2312.05171 (2023) - [i170]Saeejith Nair, Chi-En Amy Tai, Yuhao Chen, Alexander Wong:
NutritionVerse-Synth: An Open Access Synthetically Generated 2D Food Scene Dataset for Dietary Intake Estimation. CoRR abs/2312.06192 (2023) - [i169]Audrey G. Chung, Francis Li, Jeremy Ward, Andrew Hryniowski, Alexander Wong:
DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System for Automated Visual Inspection in Electronics Manufacturing. CoRR abs/2312.09232 (2023) - 2022
- [j129]James Ren Hou Lee, Maya Pavlova, Mahmoud Famouri, Alexander Wong:
Cancer-Net SCa: tailored deep neural network designs for detection of skin cancer from dermoscopy images. BMC Medical Imaging 22(1): 143 (2022) - [j128]Alexander Wong, James Ren Hou Lee, Hadi Rahmat-Khah, Ali Sabri, Amer Alaref, Haiyue Liu:
TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases From Chest X-Ray Images. Frontiers Artif. Intell. 5: 827299 (2022) - [j127]Mohammad Amin Soltani-Sarvestani, Zohreh Azimifar, Alexander Wong:
Variable Centrality: A scenario based centrality calculation method. J. Comput. Sci. 62: 101681 (2022) - [j126]Yifan Wu, Linlin Xu, Yuhao Chen, Alexander Wong, David A. Clausi:
TAL: Topography-Aware Multi-Resolution Fusion Learning for Enhanced Building Footprint Extraction. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j125]Yuan Fang, Linlin Xu, Alexander Wong, David A. Clausi:
Multi-Temporal Landsat-8 Images for Retrieval and Broad Scale Mapping of Soil Copper Concentration Using Empirical Models. Remote. Sens. 14(10): 2311 (2022) - [j124]Yuan Fang, Linlin Xu, Yuhao Chen, Wei Zhou, Alexander Wong, David A. Clausi:
A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4571-4582 (2022) - [j123]Yuan Fang, Yuxian Wang, Linlin Xu, Rongming Zhuo, Alexander Wong, David A. Clausi:
BCUN: Bayesian Fully Convolutional Neural Network for Hyperspectral Spectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j122]Xuenan Liu, Xuezhi Yang, Dingliang Wang, Alexander Wong, Likun Ma, Longwei Li:
VidAF: A Motion-Robust Model for Atrial Fibrillation Screening From Facial Videos. IEEE J. Biomed. Health Informatics 26(4): 1672-1683 (2022) - [c189]George Michalopoulos, Ian McKillop, Alexander Wong, Helen H. Chen:
LexSubCon: Integrating Knowledge from Lexical Resources into Contextual Embeddings for Lexical Substitution. ACL (1) 2022: 1226-1236 - [c188]George Michalopoulos, Michal Malyska, Nicola Sahar, Alexander Wong, Helen H. Chen:
ICDBigBird: A Contextual Embedding Model for ICD Code Classification. BioNLP@ACL 2022: 330-336 - [c187]Maximilian Gilles, Yuhao Chen, Tim Robin Winter, E. Zhixuan Zeng, Alexander Wong:
MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis. CASE 2022: 220-227 - [c186]Brennan Gebotys, Alexander Wong, David A. Clausi:
M2A: Motion Aware Attention for Accurate Video Action Recognition. CRV 2022: 83-89 - [c185]Carol Xu, Mahmoud Famouri, Gautam Bathla, Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong:
CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection. CRV 2022: 219-223 - [c184]Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee:
MAPLE: Microprocessor A Priori for Latency Estimation. CVPR Workshops 2022: 2746-2755 - [c183]Kevin Zhu, Alexander Wong, John McPhee:
FenceNet: Fine-grained Footwork Recognition in Fencing. CVPR Workshops 2022: 3588-3597 - [c182]Saeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee:
MAPLE-Edge: A Runtime Latency Predictor for Edge Devices. CVPR Workshops 2022: 3659-3667 - [c181]William J. McNally, Kanav Vats, Alexander Wong, John McPhee:
Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-person Human Pose Estimation. ECCV (6) 2022: 37-54 - [c180]Hajar Abedi, Ahmad Ansariyan, Christopher Lehman, Plinio P. Morita, Jennifer Boger, Alexander Wong, George Shaker:
Non-Visual and Contactless Wellness Monitoring for Long Term Care Facilities Using mm-Wave Radar Sensors. IEEE SENSORS 2022: 1-4 - [d1]Brokoslaw Laschowski, William J. McNally, Alexander Wong, John McPhee:
ExoNet Database: Wearable Camera Images of Human Locomotion Environments. IEEE DataPort, 2022 - [i168]Brennan Gebotys, Alexander Wong, David A. Clausi:
Bag of Tricks for Natural Policy Gradient Reinforcement Learning. CoRR abs/2201.09104 (2022) - [i167]Hilda Azimi, Jianxing Zhang, Pengcheng Xi, Hala As'ad, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong:
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation. CoRR abs/2202.10971 (2022) - [i166]Kevin Zhu, Alexander Wong, John McPhee:
FenceNet: Fine-grained Footwork Recognition in Fencing. CoRR abs/2204.09434 (2022) - [i165]George Michalopoulos, Michal Malyska, Nicola Sahar, Alexander Wong, Helen H. Chen:
ICDBigBird: A Contextual Embedding Model for ICD Code Classification. CoRR abs/2204.10408 (2022) - [i164]Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Adrian Florea, Andrew Hryniowski, Alexander Wong:
COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data. CoRR abs/2204.11210 (2022) - [i163]Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong:
LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection. CoRR abs/2204.11765 (2022) - [i162]Carol Xu, Mahmoud Famouri, Gautam Bathla, Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong:
CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection. CoRR abs/2204.11766 (2022) - [i161]Saeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee:
MAPLE-Edge: A Runtime Latency Predictor for Edge Devices. CoRR abs/2204.12950 (2022) - [i160]E. Zhixuan Zeng, Adrian Florea, Alexander Wong:
COVID-Net US-X: Enhanced Deep Neural Network for Detection of COVID-19 Patient Cases from Convex Ultrasound Imaging Through Extended Linear-Convex Ultrasound Augmentation Learning. CoRR abs/2204.13851 (2022) - [i159]Hilda Azimi, Ashkan Ebadi, Jessy Song, Pengcheng Xi, Alexander Wong:
COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound Videos. CoRR abs/2205.08932 (2022) - [i158]Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee:
MAPLE-X: Latency Prediction with Explicit Microprocessor Prior Knowledge. CoRR abs/2205.12660 (2022) - [i157]Tia Tuinstra, Hayden Gunraj, Alexander Wong:
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT Images. CoRR abs/2206.03043 (2022) - [i156]Maya Pavlova, Tia Tuinstra, Hossein Aboutalebi, Andy Zhao, Hayden Gunraj, Alexander Wong:
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics. CoRR abs/2206.03671 (2022) - [i155]Kai Ma, Pengcheng Xi, Karim Habashy, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong:
Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography. CoRR abs/2207.09312 (2022) - [i154]Nitpreet Bamra, Vikram Voleti, Alexander Wong, Jason Deglint:
Towards Generating Large Synthetic Phytoplankton Datasets for Efficient Monitoring of Harmful Algal Blooms. CoRR abs/2208.02332 (2022) - [i153]Maximilian Gilles, Yuhao Chen, Tim Robin Winter, E. Zhixuan Zeng, Alexander Wong:
MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis. CoRR abs/2208.03963 (2022) - [i152]Alexander Wong, Mohammad Javad Shafiee, Saad Abbasi, Saeejith Nair, Mahmoud Famouri:
Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers. CoRR abs/2208.06980 (2022) - [i151]Stone Yun, Alexander Wong:
GHN-Q: Parameter Prediction for Unseen Quantized Convolutional Architectures via Graph Hypernetworks. CoRR abs/2208.12489 (2022) - [i150]Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng, Maximilian Gilles, Alexander Wong:
MMRNet: Improving Reliability for Multimodal Computer Vision for Bin Picking via Multimodal Redundancy. CoRR abs/2210.10842 (2022) - [i149]Chi-En Amy Tai, Nedim Hodzic, Nic Flanagan, Hayden Gunraj, Alexander Wong:
Cancer-Net BCa: Breast Cancer Pathologic Complete Response Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging. CoRR abs/2211.05308 (2022) - [i148]Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong:
SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence. CoRR abs/2211.10274 (2022) - [i147]Robbie Meyer, Alexander Wong:
A Fair Loss Function for Network Pruning. CoRR abs/2211.10285 (2022) - [i146]Pengyuan Shi, Yuetong Wang, Saad Abbasi, Alexander Wong:
COVID-Net Assistant: A Deep Learning-Driven Virtual Assistant for COVID-19 Symptom Prediction and Recommendation. CoRR abs/2211.11944 (2022) - [i145]Kai Ma, Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong:
A Trustworthy Framework for Medical Image Analysis with Deep Learning. CoRR abs/2212.02764 (2022) - [i144]Daniel Zhang, Vikram Voleti, Alexander Wong, Jason Deglint:
Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification. CoRR abs/2212.08990 (2022) - [i143]Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong:
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments. CoRR abs/2212.10632 (2022) - 2021
- [j121]William J. McNally, Kanav Vats, Alexander Wong, John McPhee:
EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation Using Accelerated Neuroevolution With Weight Transfer. IEEE Access 9: 139403-139414 (2021) - [j120]Brokoslaw Laschowski, William J. McNally, Alexander Wong, John McPhee:
Environment Classification for Robotic Leg Prostheses and Exoskeletons Using Deep Convolutional Neural Networks. Frontiers Neurorobotics 15: 730965 (2021) - [j119]Alexander Wong, Jack Lu, Adam Dorfman, Paul McInnis, Mahmoud Famouri, Daniel Manary, James Ren Hou Lee, Michael Lynch:
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images. Frontiers Artif. Intell. 4: 764047 (2021) - [j118]Yujia Chen, Linlin Xu, Yuan Fang, Junhuan Peng, Wenfu Yang, Alexander Wong, David A. Clausi:
Unsupervised Bayesian Subpixel Mapping of Hyperspectral Imagery Based on Band-Weighted Discrete Spectral Mixture Model and Markov Random Field. IEEE Geosci. Remote. Sens. Lett. 18(1): 162-166 (2021) - [j117]Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong:
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing. Scientometrics 126(1): 725-739 (2021) - [j116]Saad Abbasi, Mahmoud Famouri, Mohammad Javad Shafiee, Alexander Wong:
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection. Sensors 21(14): 4805 (2021) - [j115]Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong:
Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement. IEEE Signal Process. Mag. 38(1): 22-30 (2021) - [j114]Xuenan Liu, Xuezhi Yang, Dingliang Wang, Alexander Wong:
Detecting Pulse Rates From Facial Videos Recorded in Unstable Lighting Conditions: An Adaptive Spatiotemporal Homomorphic Filtering Algorithm. IEEE Trans. Instrum. Meas. 70: 1-15 (2021) - [c179]Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong:
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. CCECE 2021: 1-5 - [c178]Stone Yun, Alexander Wong:
Do All MobileNets Quantize Poorly? Gaining Insights Into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-Scale Distributional Dynamics. CVPR Workshops 2021: 2447-2456 - [c177]William J. McNally, Pascale Walters, Kanav Vats, Alexander Wong, John McPhee:
DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts Using a Single Camera. CVPR Workshops 2021: 4547-4556 - [c176]Brokoslaw Laschowski, William J. McNally, Alexander Wong, John McPhee:
Computer Vision and Deep Learning for Environment-Adaptive Control of Robotic Lower-Limb Exoskeletons. EMBC 2021: 4631-4635 - [c175]Xuenan Liu, Xuezhi Yang, Ziyan Meng, Ye Wang, Jie Zhang, Alexander Wong:
MANet: a Motion-Driven Attention Network for Detecting the Pulse from a Facial Video with Drastic Motions. ICCVW 2021: 2385-2390 - [c174]Brennan Gebotys, Alexander Wong, David A. Clausi:
POOF: Efficient Goalie Pose Annotation using Optical Flow. icSPORTS 2021: 116-122 - [c173]Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong:
COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound Imaging. DART/FAIR@MICCAI 2021: 191-202 - [c172]George Michalopoulos, Yuanxin Wang, Hussam Kaka, Helen H. Chen, Alexander Wong:
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus. NAACL-HLT 2021: 1744-1753 - [i142]Hayden Gunraj, Ali Sabri, David Koff, Alexander Wong:
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning. CoRR abs/2101.07433 (2021) - [i141]Alexander Wong, Jack Lu, Adam Dorfman, Paul McInnis, Mahmoud Famouri, Daniel Manary, James Ren Hou Lee, Michael Lynch:
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images. CoRR abs/2103.04008 (2021) - [i140]Ashkan Ebadi, Pengcheng Xi, Alexander MacLean, Stéphane Tremblay, Sonny Kohli, Alexander Wong:
COVIDx-US - An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics. CoRR abs/2103.10003 (2021) - [i139]Saad Abbasi, Mahmoud Famouri, Mohammad Javad Shafiee, Alexander Wong:
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection. CoRR abs/2104.00528 (2021) - [i138]Alexander Wong, James Ren Hou Lee, Hadi Rahmat-Khah, Ali Sabri, Amer Alaref:
TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-ray Images. CoRR abs/2104.03165 (2021) - [i137]Mehrnaz Fani, Pascale Berunelle Walters, David A. Clausi, John S. Zelek, Alexander Wong:
Localization of Ice-Rink for Broadcast Hockey Videos. CoRR abs/2104.10847 (2021) - [i136]Stone Yun, Alexander Wong:
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics. CoRR abs/2104.11849 (2021) - [i135]Xiaoyu Wen, Mahmoud Famouri, Andrew Hryniowski, Alexander Wong:
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge. CoRR abs/2104.14623 (2021) - [i134]Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong:
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images. CoRR abs/2105.00256 (2021) - [i133]Hossein Aboutalebi, Saad Abbasi, Mohammad Javad Shafiee, Alexander Wong:
COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images. CoRR abs/2105.01284 (2021) - [i132]Jianxing Zhang, Pengcheng Xi, Ashkan Ebadi, Hilda Azimi, Stéphane Tremblay, Alexander Wong:
COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach. CoRR abs/2105.01710 (2021) - [i131]Maya Pavlova, Naomi Terhljan, Audrey G. Chung, Andy Zhao, Siddharth Surana, Hossein Aboutalebi, Hayden Gunraj, Ali Sabri, Amer Alaref, Alexander Wong:
COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images. CoRR abs/2105.06640 (2021) - [i130]William J. McNally, Pascale Walters, Kanav Vats, Alexander Wong, John McPhee:
DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts using a Single Camera. CoRR abs/2105.09880 (2021) - [i129]Alexander Wong, Adam Dorfman, Paul McInnis, Hayden Gunraj:
Insights into Data through Model Behaviour: An Explainability-driven Strategy for Data Auditing for Responsible Computer Vision Applications. CoRR abs/2106.09177 (2021) - [i128]Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Residual Error: a New Performance Measure for Adversarial Robustness. CoRR abs/2106.10212 (2021) - [i127]Ju An Park, Vikram Voleti, Kathryn E. Thomas, Alexander Wong, Jason L. Deglint:
SALT: Sea lice Adaptive Lattice Tracking - An Unsupervised Approach to Generate an Improved Ocean Model. CoRR abs/2106.13202 (2021) - [i126]Saad Abbasi, Mohammad Javad Shafiee, Ellick Chan, Alexander Wong:
Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration. CoRR abs/2107.04144 (2021) - [i125]George Michalopoulos, Ian McKillop, Alexander Wong, Helen H. Chen:
LexSubCon: Integrating Knowledge from Lexical Resources into Contextual Embeddings for Lexical Substitution. CoRR abs/2107.05132 (2021) - [i124]Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong:
COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-care Ultrasound Imaging. CoRR abs/2108.03131 (2021) - [i123]Maziar Gomrokchi, Susan Amin, Hossein Aboutalebi, Alexander Wong, Doina Precup:
Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning. CoRR abs/2109.03975 (2021) - [i122]Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong:
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. CoRR abs/2109.06421 (2021) - [i121]Audrey G. Chung, Mahmoud Famouri, Andrew Hryniowski, Alexander Wong:
COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification. CoRR abs/2109.06711 (2021) - [i120]Hossein Aboutalebi, Maya Pavlova, Hayden Gunraj, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong:
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis. CoRR abs/2110.06063 (2021) - [i119]William J. McNally, Kanav Vats, Alexander Wong, John McPhee:
Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation. CoRR abs/2111.08557 (2021) - [i118]Brennan Gebotys, Alexander Wong, David A. Clausi:
M2A: Motion Aware Attention for Accurate Video Action Recognition. CoRR abs/2111.09976 (2021) - [i117]Mohammad Javad Shafiee, Mahmoud Famouri, Gautam Bathla, Francis Li, Alexander Wong:
TinyDefectNet: Highly Compact Deep Neural Network Architecture for High-Throughput Manufacturing Visual Quality Inspection. CoRR abs/2111.14319 (2021) - [i116]Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee:
MAPLE: Microprocessor A Priori for Latency Estimation. CoRR abs/2111.15106 (2021) - [i115]Kaylen J. Pfisterer, Robert Amelard, Jennifer Boger, Audrey G. Chung, Heather H. Keller, Alexander Wong:
Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology. CoRR abs/2112.04608 (2021) - [i114]Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong:
Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications. CoRR abs/2112.08363 (2021) - [i113]Yuhao Chen, E. Zhixuan Zeng, Maximilian Gilles, Alexander Wong:
MetaGraspNet: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis. CoRR abs/2112.14663 (2021) - 2020
- [j113]Jingxin Yu, Song Tang, Lili Zhangzhong, Wengang Zheng, Long Wang, Alexander Wong, Linlin Xu:
A Deep Learning Approach for Multi-Depth Soil Water Content Prediction in Summer Maize Growth Period. IEEE Access 8: 199097-199110 (2020) - [j112]Abdulrhman H. Al-Jebrni, Brendan Chwyl, Xiao Yu Wang, Alexander Wong, Bechara John Saab:
AI-enabled remote and objective quantification of stress at scale. Biomed. Signal Process. Control. 59: 101929 (2020) - [j111]Kayla M. Fewster, Shahid A. Haider, Chad E. Gooyers, Jack P. Callaghan, Alexander Wong:
A computerised system for measurement of the radial displacement of the intervertebral disc using a laser scanning device. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(3): 287-293 (2020) - [j110]Brock Laschowski, William J. McNally, Alexander Wong, John McPhee:
ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Frontiers Robotics AI 7: 562061 (2020) - [j109]James Ren Hou Lee, Linda Wang, Alexander Wong:
EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-Time Facial Expression Recognition. Frontiers Artif. Intell. 3: 609673 (2020) - [j108]Plinio Pelegrini Morita, A. S. Rocha, George Shaker, D. Lee, Jing Wei, B. Fong, A. Thatte, A. Karimi, L. Xu, A. Ma, Alexander Wong, Jennifer Boger:
Comparative Analysis of Gait Speed Estimation Using Wideband and Narrowband Radars, Thermal Camera, and Motion Tracking Suit Technologies. J. Heal. Informatics Res. 4(3): 215-237 (2020) - [j107]Chris Dulhanty, Linda Wang, Maria Cheng, Hayden Gunraj, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing. Sensors 20(5): 1539 (2020) - [j106]Xuenan Liu, Xuezhi Yang, Jing Jin, Alexander Wong:
Detecting Pulse Wave From Unstable Facial Videos Recorded From Consumer-Level Cameras: A Disturbance-Adaptive Orthogonal Matching Pursuit. IEEE Trans. Biomed. Eng. 67(12): 3352-3362 (2020) - [j105]Zilong Zhong, Jonathan Li, David A. Clausi, Alexander Wong:
Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification. IEEE Trans. Cybern. 50(7): 3318-3329 (2020) - [j104]Longshan Yang, Linlin Xu, Junhuan Peng, Yongze Song, Alexander Wong, David A. Clausi:
Nonlocal Band-Weighted Iterative Spectral Mixture Model for Hyperspectral Imagery Denoising. IEEE Trans. Geosci. Remote. Sens. 58(8): 5588-5601 (2020) - [j103]Amir Nazemi, Zohreh Azimifar, Mohammad Javad Shafiee, Alexander Wong:
Real-Time Vehicle Make and Model Recognition Using Unsupervised Feature Learning. IEEE Trans. Intell. Transp. Syst. 21(7): 3080-3090 (2020) - [c171]George Michalopoulos, Helen H. Chen, Alexander Wong:
Where's the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data. ClinicalNLP@EMNLP 2020: 215-226 - [c170]Chris Dulhanty, Alexander Wong:
Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification. AIES 2020: 244-250 - [c169]Brock Laschowski, William J. McNally, Alexander Wong, John McPhee:
Comparative Analysis of Environment Recognition Systems for Control of Lower-Limb Exoskeletons and Prostheses. BioRob 2020: 581-586 - [c168]James Ren Hou Lee, Alexander Wong:
TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition. CRV 2020: 9-16 - [c167]Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness. CVPR 2020: 1238-1247 - [c166]Zilong Zhong, Zhong Qiu Lin, Rene Bidart, Xiaodan Hu, Ibrahim Ben Daya, Zhifeng Li, Wei-Shi Zheng, Jonathan Li, Alexander Wong:
Squeeze-and-Attention Networks for Semantic Segmentation. CVPR 2020: 13062-13071 - [c165]Yuhao Chen, Yifan Wu, Linlin Xu, Alexander Wong:
Quantization in Relative Gradient Angle Domain For Building Polygon Estimation. ICPR 2020: 8360-8367 - [c164]Sourya Sengupta, Alexander Wong, Amitojdeep Singh, John S. Zelek, Vasudevan Lakshminarayanan:
DeSupGAN: Multi-scale Feature Averaging Generative Adversarial Network for Simultaneous De-blurring and Super-Resolution of Retinal Fundus Images. OMIA@MICCAI 2020: 32-41 - [c163]George Michalopoulos, Hammad Qazi, Alexander Wong, Zahid A. Butt, Helen H. Chen:
Automatic Extraction of Risk Factors for Dialysis Patients from Clinical Notes Using Natural Language Processing Techniques. MIE 2020: 53-57 - [c162]Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong:
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis. WACV 2020: 2634-2643 - [i112]Chris Dulhanty, Alexander Wong:
Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification. CoRR abs/2001.03071 (2020) - [i111]Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong:
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis. CoRR abs/2001.04928 (2020) - [i110]Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness. CoRR abs/2003.01090 (2020) - [i109]James Ren Hou Lee, Alexander Wong:
TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition. CoRR abs/2003.01791 (2020) - [i108]Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong:
Deep Neural Network Perception Models and Robust Autonomous Driving Systems. CoRR abs/2003.08756 (2020) - [i107]Linda Wang, Alexander Wong:
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images. CoRR abs/2003.09871 (2020) - [i106]Linda Wang, Mahmoud Famouri, Alexander Wong:
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation. CoRR abs/2004.08008 (2020) - [i105]Alexander Wong, Zhong Qiu Lin, Linda Wang, Audrey G. Chung, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Timothy Q. Duong:
Towards computer-aided severity assessment: training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity. CoRR abs/2005.12855 (2020) - [i104]James Ren Hou Lee, Linda Wang, Alexander Wong:
EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-time Facial Expression Recognition. CoRR abs/2006.15759 (2020) - [i103]Yuhao Chen, Yifan Wu, Linlin Xu, Alexander Wong:
Quantization in Relative Gradient Angle Domain For Building Polygon Estimation. CoRR abs/2007.05617 (2020) - [i102]Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong:
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing. CoRR abs/2007.11604 (2020) - [i101]Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Vulnerability Under Adversarial Machine Learning: Bias or Variance? CoRR abs/2008.00138 (2020) - [i100]Alexander Wong, Mahmoud Famouri, Maya Pavlova, Siddharth Surana:
TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices. CoRR abs/2008.04245 (2020) - [i99]Hayden Gunraj, Linda Wang, Alexander Wong:
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images. CoRR abs/2009.05383 (2020) - [i98]Alexander Wong, Xiao Yu Wang, Andrew Hryniowski:
How Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks. CoRR abs/2009.05835 (2020) - [i97]Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee:
AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers. CoRR abs/2009.14385 (2020) - [i96]Andrew Hryniowski, Xiao Yu Wang, Alexander Wong:
Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities. CoRR abs/2009.14701 (2020) - [i95]George Michalopoulos, Helen H. Chen, Alexander Wong:
Where's the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data. CoRR abs/2010.07816 (2020) - [i94]George Michalopoulos, Yuanxin Wang, Hussam Kaka, Helen H. Chen, Alexander Wong:
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus. CoRR abs/2010.10391 (2020) - [i93]James Ren Hou Lee, Alexander Wong:
AEGIS: A real-time multimodal augmented reality computer vision based system to assist facial expression recognition for individuals with autism spectrum disorder. CoRR abs/2010.11884 (2020) - [i92]Alexander Wong, Andrew Hryniowski, Xiao Yu Wang:
Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning. CoRR abs/2011.01961 (2020) - [i91]Nolan S. Dey, J. Eric Taylor, Bryan P. Tripp, Alexander Wong, Graham W. Taylor:
Identifying and interpreting tuning dimensions in deep networks. CoRR abs/2011.03043 (2020) - [i90]William J. McNally, Kanav Vats, Alexander Wong, John McPhee:
EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Neuroevolution. CoRR abs/2011.08446 (2020) - [i89]Hossein Aboutalebi, Mohammad Javad Shafiee, Alexander Wong:
Self-Gradient Networks. CoRR abs/2011.09364 (2020) - [i88]James Ren Hou Lee, Maya Pavlova, Mahmoud Famouri, Alexander Wong:
CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images. CoRR abs/2011.10702 (2020) - [i87]Stone Yun, Alexander Wong:
Where Should We Begin? A Low-Level Exploration of Weight Initialization Impact on Quantized Behaviour of Deep Neural Networks. CoRR abs/2011.14578 (2020) - [i86]Stone Yun, Alexander Wong:
FactorizeNet: Progressive Depth Factorization for Efficient Network Architecture Exploration Under Quantization Constraints. CoRR abs/2011.14586 (2020) - [i85]Andrew Hryniowski, Alexander Wong:
Inter-layer Information Similarity Assessment of Deep Neural Networks Via Topological Similarity and Persistence Analysis of Data Neighbour Dynamics. CoRR abs/2012.03793 (2020) - [i84]Ahmadreza Jeddi, Mohammad Javad Shafiee, Alexander Wong:
A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning. CoRR abs/2012.13628 (2020)
2010 – 2019
- 2019
- [j102]Jason L. Deglint, Chao Jin, Angela Chao, Alexander Wong:
The Feasibility of Automated Identification of Six Algae Types Using Feed-Forward Neural Networks and Fluorescence-Based Spectral-Morphological Features. IEEE Access 7: 7041-7053 (2019) - [j101]Devinder Kumar, Graham W. Taylor, Alexander Wong:
Discovery Radiomics With CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy. IEEE Access 7: 25891-25896 (2019) - [j100]Devinder Kumar, Vignesh Sankar, David A. Clausi, Graham W. Taylor, Alexander Wong:
SISC: End-to-End Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells. IEEE Access 7: 145444-145454 (2019) - [j99]Mohammad Javad Shafiee, Brendan Chwyl, Francis Li, Rongyan Chen, Michelle Karg, Christian Scharfenberger, Alexander Wong:
StressedNets: Efficient feature representations via stress-induced evolutionary synthesis of deep neural networks. Neurocomputing 352: 93-105 (2019) - [j98]Caifeng Wang, Linlin Xu, David A. Clausi, Alexander Wong:
A Bayesian Joint Decorrelation and Despeckling of SAR Imagery. IEEE Geosci. Remote. Sens. Lett. 16(9): 1393-1397 (2019) - [j97]Mahmoud Famouri, Zohreh Azimifar, Alexander Wong:
A Novel Motion Plane-Based Approach to Vehicle Speed Estimation. IEEE Trans. Intell. Transp. Syst. 20(4): 1237-1246 (2019) - [c161]William J. McNally, Alexander Wong, John McPhee:
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection. CRV 2019: 49-56 - [c160]Devinder Kumar, Ibrahim Ben Daya, Kanav Vats, Jeffery Feng, Graham W. Taylor, Alexander Wong:
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning. CVPR Workshops 2019: 16-19 - [c159]Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles. CVPR Workshops 2019: 95-98 - [c158]Kaylen J. Pfisterer, Robert Amelard, Braeden Syrnyk, Alexander Wong:
Towards Computer Vision Powered Color-Nutrient Assessment of Pureed Food. CVPR Workshops 2019: 490-492 - [c157]Audrey G. Chung, Paul W. Fieguth, Alexander Wong:
Assessing Architectural Similarity in Populations of Deep Neural Networks. CVPR Workshops 2019: 496-498 - [c156]Xiaodan Hu, Mohamed A. Naiel, Alexander Wong, Mark Lamm, Paul W. Fieguth:
RUNet: A Robust UNet Architecture for Image Super-Resolution. CVPR Workshops 2019: 505-507 - [c155]Mohammad Saeed Shafiee, Mohammad Javad Shafiee, Alexander Wong:
Dynamic Representations Toward Efficient Inference on Deep Neural Networks by Decision Gates. CVPR Workshops 2019: 667-675 - [c154]Alexander Wong, Zhong Qiu Lin, Brendan Chwyl:
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design. CVPR Workshops 2019: 684-693 - [c153]William J. McNally, Kanav Vats, Tyler Pinto, Chris Dulhanty, John McPhee, Alexander Wong:
GolfDB: A Video Database for Golf Swing Sequencing. CVPR Workshops 2019: 2553-2562 - [c152]Alexander Wong:
NetScore: Towards Universal Metrics for Large-Scale Performance Analysis of Deep Neural Networks for Practical On-Device Edge Usage. ICIAR (2) 2019: 15-26 - [c151]Kanav Vats, Helmut Neher, Alexander Wong, David A. Clausi, John S. Zelek:
KPTransfer: Improved Performance and Faster Convergence from Keypoint Subset-Wise Domain Transfer in Human Pose Estimation. ICIAR (2) 2019: 220-231 - [c150]Jason L. Deglint, Chao Jin, Alexander Wong:
Investigating the Automatic Classification of Algae Using the Spectral and Morphological Characteristics via Deep Residual Learning. ICIAR (2) 2019: 269-280 - [c149]Ameneh Boroomand, Bingyao Tan, Mohammad Javad Shafiee, Kostadinka K. Bizheva, Alexander Wong:
A Random Field Computational Adaptive Optics Framework for Optical Coherence Microscopy. ICIAR (2) 2019: 283-294 - [c148]Helmut Neher, John Arlette, Alexander Wong:
Discovery Radiomics for Detection of Severely Atypical Melanocytic Lesions (SAML) from Skin Imaging via Deep Residual Group Convolutional Radiomic Sequencer. ICIAR (2) 2019: 307-315 - [c147]Rene Bidart, Alexander Wong:
TriResNet: A Deep Triple-Stream Residual Network for Histopathology Grading. ICIAR (2) 2019: 369-382 - [c146]Ibrahim Ben Daya, John T. W. Yeow, Alexander Wong:
Compensated Row-Column Ultrasound Imaging Systems with Data-Driven Point Spread Function Learning. ICIAR (2) 2019: 429-441 - [c145]Mohammad Ali Bagheri Orumi, M. Hadi Sepanj, Mahmoud Famouri, Zohreh Azimifar, Alexander Wong:
Unsupervised Deep Shape from Template. ICIAR (1) 2019: 440-451 - [c144]Rene Bidart, Alexander Wong:
Affine Variational Autoencoders. ICIAR (1) 2019: 461-472 - [c143]Brock Laschowski, William J. McNally, Alexander Wong, John McPhee:
Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. ICORR 2019: 868-873 - [c142]Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Jonathan Chung:
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection. EMC2@NeurIPS 2019: 22-25 - [c141]Raymond R. Bond, Maurice D. Mulvenna, Hui Wan, Dewar D. Finlay, Alexander Wong, Ansgar Koene, Rob Brisk, Jennifer Boger, Tameem Adel:
Human Centered Artificial Intelligence: Weaving UX into Algorithmic Decision Making. RoCHI 2019: 2-9 - [c140]Yuan Fang, Zhongzheng Hu, Linlin Xu, Alexander Wong, David A. Clausi:
Estimation Of Iron Concentration In Soil Of A Mining Area From Uav-Based Hyperspectral Imagery. WHISPERS 2019: 1-5 - [i83]Vignesh Sankar, Devinder Kumar, David A. Clausi, Graham W. Taylor, Alexander Wong:
SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells. CoRR abs/1901.04641 (2019) - [i82]Zhong Qiu Lin, Alexander Wong:
Progressive Label Distillation: Learning Input-Efficient Deep Neural Networks. CoRR abs/1901.09135 (2019) - [i81]Raymond R. Bond, Ansgar Koene, Alan J. Dix, Jennifer Boger, Maurice D. Mulvenna, Mykola Galushka, Bethany Waterhouse Bradley, Fiona Browne, Hui Wang, Alexander Wong:
Democratisation of Usable Machine Learning in Computer Vision. CoRR abs/1902.06804 (2019) - [i80]William J. McNally, Alexander Wong, John McPhee:
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection. CoRR abs/1902.10024 (2019) - [i79]William J. McNally, Kanav Vats, Tyler Pinto, Chris Dulhanty, John McPhee, Alexander Wong:
GolfDB: A Video Database for Golf Swing Sequencing. CoRR abs/1903.06528 (2019) - [i78]Alexander Wong, Zhong Qiu Lin, Brendan Chwyl:
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design. CoRR abs/1903.07209 (2019) - [i77]Kanav Vats, Helmut Neher, Alexander Wong, David A. Clausi, John S. Zelek:
KPTransfer: improved performance and faster convergence from keypoint subset-wise domain transfer in human pose estimation. CoRR abs/1903.09926 (2019) - [i76]Devinder Kumar, Ibrahim Ben Daya, Kanav Vats, Jeffery Feng, Graham W. Taylor, Alexander Wong:
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning. CoRR abs/1904.09633 (2019) - [i75]Audrey G. Chung, Paul W. Fieguth, Alexander Wong:
Assessing Architectural Similarity in Populations of Deep Neural Networks. CoRR abs/1904.09879 (2019) - [i74]Kaylen J. Pfisterer, Robert Amelard, Braeden Syrnyk, Alexander Wong:
Towards computer vision powered color-nutrient assessment of pureed food. CoRR abs/1905.00310 (2019) - [i73]Chris Dulhanty, Alexander Wong:
Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets. CoRR abs/1905.01347 (2019) - [i72]Zhong Qiu Lin, Brendan Chwyl, Alexander Wong:
EdgeSegNet: A Compact Network for Semantic Segmentation. CoRR abs/1905.04222 (2019) - [i71]Zilong Zhong, Jonathan Li, David A. Clausi, Alexander Wong:
Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification. CoRR abs/1905.04621 (2019) - [i70]Rene Bidart, Alexander Wong:
Affine Variational Autoencoders: An Efficient Approach for Improving Generalization and Robustness to Distribution Shift. CoRR abs/1905.05300 (2019) - [i69]Linda Wang, Alexander Wong:
Enabling Computer Vision Driven Assistive Devices for the Visually Impaired via Micro-architecture Design Exploration. CoRR abs/1905.07836 (2019) - [i68]Linda Wang, Alexander Wong:
Implications of Computer Vision Driven Assistive Technologies Towards Individuals with Visual Impairment. CoRR abs/1905.07844 (2019) - [i67]Andrew Hryniowski, Alexander Wong:
Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks. CoRR abs/1905.10901 (2019) - [i66]Kaylen J. Pfisterer, Jennifer Boger, Alexander Wong:
Food for thought: Ethical considerations of user trust in computer vision. CoRR abs/1905.12487 (2019) - [i65]Lucas Gren, Alexander Wong, Erik Kristoffersson:
Choosing agile or plan-driven enterprise resource planning (ERP) implementations - A study on 21 implementations from 20 companies. CoRR abs/1906.05220 (2019) - [i64]Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong:
Fairest of Them All: Establishing a Strong Baseline for Cross-Domain Person ReID. CoRR abs/1907.12016 (2019) - [i63]Zilong Zhong, Zhong Qiu Lin, Rene Bidart, Xiaodan Hu, Ibrahim Ben Daya, Jonathan Li, Alexander Wong:
Squeeze-and-Attention Networks for Semantic Segmentation. CoRR abs/1909.03402 (2019) - [i62]Mohammad Javad Shafiee, Mirko Nentwig, Yohannes Kassahun, Francis Li, Stanislav Bochkarev, Akif Kamal, David Dolson, Secil Altintas, Arif Virani, Alexander Wong:
Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving. CoRR abs/1909.05587 (2019) - [i61]Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Jonathan Chung:
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection. CoRR abs/1910.01271 (2019) - [i60]Mohammad Javad Shafiee, Andrew Hryniowski, Francis Li, Zhong Qiu Lin, Alexander Wong:
State of Compact Architecture Search For Deep Neural Networks. CoRR abs/1910.06466 (2019) - [i59]Zhong Qiu Lin, Mohammad Javad Shafiee, Stanislav Bochkarev, Michael St. Jules, Xiaoyu Wang, Alexander Wong:
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms. CoRR abs/1910.07387 (2019) - [i58]Kaylen J. Pfisterer, Robert Amelard, Audrey G. Chung, Braeden Syrnyk, Alexander MacLean, Alexander Wong:
Fully-Automatic Semantic Segmentation for Food Intake Tracking in Long-Term Care Homes. CoRR abs/1910.11250 (2019) - [i57]Andrew Hryniowski, Alexander Wong:
DeepLABNet: End-to-end Learning of Deep Radial Basis Networks with Fully Learnable Basis Functions. CoRR abs/1911.09257 (2019) - [i56]Chris Dulhanty, Jason L. Deglint, Ibrahim Ben Daya, Alexander Wong:
Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection. CoRR abs/1911.11951 (2019) - [i55]Sergey Bereg, Brian Malouf, Linda Morales, Thomas Stanley, Ivan Hal Sudborough, Alexander Wong:
Equivalence Relations for Computing Permutation Polynomials. CoRR abs/1911.12823 (2019) - 2018
- [j96]Alexander Wong, Mohammad Javad Shafiee, Michael St. Jules:
MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-Time Embedded Traffic Sign Classification. IEEE Access 6: 59803-59810 (2018) - [j95]Farzad Khalvati, Junjie Zhang, Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong, Masoom A. Haider:
MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection. BMC Medical Imaging 18(1): 16:1-16:14 (2018) - [j94]Mohammad Javad Shafiee, Akshaya Kumar Mishra, Alexander Wong:
Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks. Neural Process. Lett. 48(1): 603-613 (2018) - [j93]R. S. Medeiros, Alexander Wong, Jacob Scharcanski:
Scalable image segmentation via decoupled sub-graph compression. Pattern Recognit. 78: 228-241 (2018) - [j92]Yuan Fang, Linlin Xu, Junhuan Peng, Honglei Yang, Alexander Wong, David A. Clausi:
Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(9): 3325-3337 (2018) - [j91]Fan Li, David A. Clausi, Linlin Xu, Alexander Wong:
ST-IRGS: A Region-Based Self-Training Algorithm Applied to Hyperspectral Image Classification and Segmentation. IEEE Trans. Geosci. Remote. Sens. 56(1): 3-16 (2018) - [j90]Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong:
Real-Time Embedded Motion Detection via Neural Response Mixture Modeling. J. Signal Process. Syst. 90(6): 931-946 (2018) - [j89]Xiaoyu Wang, Pin-Han Ho, Alexander Wong, Limei Peng:
Cognitive-Empowered Femtocells: An Intelligent Paradigm for Femtocell Networks. Wirel. Commun. Mob. Comput. 2018: 3132424:1-3132424:9 (2018) - [c139]Ameneh Boroomand, George Shaker, Plinio P. Morita, Alexander Wong, Jennifer Boger:
Autonomous gait speed estimation using 24GHz FMCW radar technology. BHI 2018: 66-69 - [c138]Lucas Gren, Alexander Wong, Erik Kristoffersson:
Choosing Agile or Plan-driven Enterprise Resource Planning (ERP) Implementations - A study on 21 Implementations from 20 Companies. STPIS@CAiSE 2018: 40-55 - [c137]Alexander Wong, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl:
Tiny SSD: A Tiny Single-Shot Detection Deep Convolutional Neural Network for Real-Time Embedded Object Detection. CRV 2018: 95-101 - [c136]Andrew Hryniowski, Ibrahim Ben Daya, Ahmed Gawish, Mark Lamm, Alexander Wong, Paul W. Fieguth:
Multi-projector Resolution Enhancement Through Biased Interpolation. CRV 2018: 190-197 - [c135]Avery Ma, Alexander Wong, David A. Clausi:
Deep Learning-Driven Depth from Defocus via Active Multispectral Quasi-Random Projections with Complex Subpatterns. CRV 2018: 292-296 - [c134]Helmut Neher, Kanav Vats, Alexander Wong, David A. Clausi:
HyperStackNet: A Hyper Stacked Hourglass Deep Convolutional Neural Network Architecture for Joint Player and Stick Pose Estimation in Hockey. CRV 2018: 313-320 - [c133]Audrey G. Chung, Paul W. Fieguth, Alexander Wong:
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence. CRV 2018: 368-374 - [c132]Devinder Kumar, Vlado Menkovski, Graham W. Taylor, Alexander Wong:
Understanding anatomy classification through attentive response maps. ISBI 2018: 1130-1133 - [i54]Mohammad Javad Shafiee, Brendan Chwyl, Francis Li, Rongyan Chen, Michelle Karg, Christian Scharfenberger, Alexander Wong:
StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks. CoRR abs/1801.05387 (2018) - [i53]Audrey G. Chung, Paul W. Fieguth, Alexander Wong:
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence. CoRR abs/1802.03318 (2018) - [i52]Alexander Wong, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl:
Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection. CoRR abs/1802.06488 (2018) - [i51]Alexander Wong, Mohammad Javad Shafiee, Michael St. Jules:
muNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification. CoRR abs/1804.00497 (2018) - [i50]Jason L. Deglint, Chao Jin, Angela Chao, Alexander Wong:
The feasibility of automated identification of six algae types using neural networks and fluorescence-based spectral-morphological features. CoRR abs/1805.01093 (2018) - [i49]Amir Nazemi, Mohammad Javad Shafiee, Zohreh Azimifar, Alexander Wong:
Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition. CoRR abs/1806.03028 (2018) - [i48]Alexander Wong:
NetScore: Towards Universal Metrics for Large-scale Performance Analysis of Deep Neural Networks for Practical Usage. CoRR abs/1806.05512 (2018) - [i47]Rene Bidart, Alexander Wong:
TriResNet: A Deep Triple-stream Residual Network for Histopathology Grading. CoRR abs/1806.08463 (2018) - [i46]Alexander Wong, Mohammad Javad Shafiee, Brendan Chwyl, Francis Li:
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis. CoRR abs/1809.05989 (2018) - [i45]Zhong Qiu Lin, Audrey G. Chung, Alexander Wong:
EdgeSpeechNets: Highly Efficient Deep Neural Networks for Speech Recognition on the Edge. CoRR abs/1810.08559 (2018) - [i44]Jason L. Deglint, Chao Jin, Alexander Wong:
Investigating the Automatic Classification of Algae Using Fusion of Spectral and Morphological Characteristics of Algae via Deep Residual Learning. CoRR abs/1810.10889 (2018) - [i43]Mohammad Saeed Shafiee, Mohammad Javad Shafiee, Alexander Wong:
Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates. CoRR abs/1811.01476 (2018) - [i42]Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi:
SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections. CoRR abs/1811.03166 (2018) - [i41]Andrew Hryniowski, Alexander Wong:
PolyNeuron: Automatic Neuron Discovery via Learned Polyharmonic Spline Activations. CoRR abs/1811.04303 (2018) - [i40]Xiaodan Hu, Audrey G. Chung, Paul W. Fieguth, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks. CoRR abs/1811.05817 (2018) - [i39]Audrey G. Chung, Paul W. Fieguth, Alexander Wong:
Mitigating Architectural Mismatch During the Evolutionary Synthesis of Deep Neural Networks. CoRR abs/1811.07966 (2018) - 2017
- [j88]Mohammad Javad Shafiee, Alexander Wong, Paul W. Fieguth:
Deep Randomly-Connected Conditional Random Fields For Image Segmentation. IEEE Access 5: 366-378 (2017) - [j87]Mehrnaz Fani, Mehran Yazdi, David A. Clausi, Alexander Wong:
Soccer Video Structure Analysis by Parallel Feature Fusion Network and Hidden-to-Observable Transferring Markov Model. IEEE Access 5: 27322-27336 (2017) - [j86]Linlin Xu, Alexander Wong, David A. Clausi:
An Enhanced Probabilistic Posterior Sampling Approach for Synthesizing SAR Imagery With Sea Ice and Oil Spills. IEEE Geosci. Remote. Sens. Lett. 14(2): 188-192 (2017) - [j85]Francis Li, Hicham Sekkati, Jason Deglint, Christian Scharfenberger, Mark Lamm, David A. Clausi, John S. Zelek, Alexander Wong:
Simultaneous Projector-Camera Self-Calibration for Three-Dimensional Reconstruction and Projection Mapping. IEEE Trans. Computational Imaging 3(1): 74-83 (2017) - [j84]Linlin Xu, David A. Clausi, Fan Li, Alexander Wong:
Weakly Supervised Classification of Remotely Sensed Imagery Using Label Constraint and Edge Penalty. IEEE Trans. Geosci. Remote. Sens. 55(3): 1424-1436 (2017) - [j83]Linlin Xu, Alexander Wong, David A. Clausi:
A Novel Bayesian Spatial-Temporal Random Field Model Applied to Cloud Detection From Remotely Sensed Imagery. IEEE Trans. Geosci. Remote. Sens. 55(9): 4913-4924 (2017) - [c131]Tameem Adel, Han Zhao, Alexander Wong:
Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption. AAAI 2017: 1691-1697 - [c130]Mehrnaz Fani, Helmut Neher, David A. Clausi, Alexander Wong, John S. Zelek:
Hockey Action Recognition via Integrated Stacked Hourglass Network. CVPR Workshops 2017: 85-93 - [c129]Devinder Kumar, Alexander Wong, Graham W. Taylor:
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks. CVPR Workshops 2017: 1686-1694 - [c128]Brendan Chwyl, Audrey G. Chung, Mohammad Javad Shafiee, Yongji Fu, Alexander Wong:
DeepPredict: A deep predictive intelligence platform for patient monitoring. EMBC 2017: 4309-4312 - [c127]M. J. Shafiee, Elnaz Barshan, Francis Li, Brendan Chwyl, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks. ICCV Workshops 2017: 979-986 - [c126]Audrey G. Chung, Mohammad Javad Shafiee, Paul W. Fieguth, Alexander Wong:
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations Through Sexual Evolutionary Synthesis. ICCV Workshops 2017: 1220-1227 - [c125]Avery Ma, Alexander Wong, David A. Clausi:
Depth from Defocus via Active Quasi-random Point Projections: A Deep Learning Approach. ICIAR 2017: 35-42 - [c124]Amir-Hossein Karimi, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Ali Ghodsi, Alexander Wong:
Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification. ICIAR 2017: 45-53 - [c123]Devinder Kumar, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction. ICIAR 2017: 54-62 - [c122]Daniel S. Cho, Farzad Khalvati, David A. Clausi, Alexander Wong:
A Machine Learning-Driven Approach to Computational Physiological Modeling of Skin Cancer. ICIAR 2017: 79-86 - [c121]Tyler Clark, Alexander Wong, Masoom A. Haider, Farzad Khalvati:
Fully Deep Convolutional Neural Networks for Segmentation of the Prostate Gland in Diffusion-Weighted MR Images. ICIAR 2017: 97-104 - [c120]Ibrahim Ben Daya, Albert I. H. Chen, Mohammad Javad Shafiee, Alexander Wong, John T. W. Yeow:
Compensated Row-Column Ultrasound Imaging System Using Three Dimensional Random Fields. ICIAR 2017: 107-116 - [c119]Junjie Zhang, Sameer Baig, Alexander Wong, Masoom A. Haider, Farzad Khalvati:
Segmentation of Prostate in Diffusion MR Images via Clustering. ICIAR 2017: 471-478 - [c118]Prajna Paramita Dash, Alexander Wong, Akshaya Kumar Mishra:
VeNICE: A very deep neural network approach to no-reference image assessment. ICIT 2017: 1091-1096 - [c117]Josué Medellín-Azuara, U. Kyaw Tha Paw, Yufang Jin, Eric Kent, Jenae' Clay, Andy Wong, Michelle M. Leinfelder-Miles, Jay R. Lund:
Comparing methods to estimate consumptive use with remote sensing in California's Sacramento-San Joaquin Delta. IGARSS 2017: 5508-5509 - [i38]Mohammad Javad Shafiee, Elnaz Barshan, Alexander Wong:
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks. CoRR abs/1704.02081 (2017) - [i37]Devinder Kumar, Alexander Wong, Graham W. Taylor:
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks. CoRR abs/1704.04133 (2017) - [i36]Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection. CoRR abs/1705.03572 (2017) - [i35]Amir-Hossein Karimi, M. J. Shafiee, Ali Ghodsi, Alexander Wong:
Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions. CoRR abs/1707.00081 (2017) - [i34]Mohammad Javad Shafiee, Francis Li, Alexander Wong:
Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks. CoRR abs/1707.00095 (2017) - [i33]Kaylen J. Pfisterer, Robert Amelard, Audrey G. Chung, Alexander Wong:
A new take on measuring nutritional density: The feasibility of using a deep neural network to assess commercially-prepared puree concentrations. CoRR abs/1707.07312 (2017) - [i32]Devinder Kumar, Graham W. Taylor, Alexander Wong:
Opening the Black Box of Financial AI with CLEAR-Trade: A CLass-Enhanced Attentive Response Approach for Explaining and Visualizing Deep Learning-Driven Stock Market Prediction. CoRR abs/1709.01574 (2017) - [i31]Audrey G. Chung, Mohammad Javad Shafiee, Paul W. Fieguth, Alexander Wong:
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis. CoRR abs/1709.02043 (2017) - [i30]Mohammad Javad Shafiee, Brendan Chywl, Francis Li, Alexander Wong:
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video. CoRR abs/1709.05943 (2017) - [i29]Mohammad Javad Shafiee, Alexander Wong:
Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection. CoRR abs/1709.08248 (2017) - [i28]Devinder Kumar, Graham W. Taylor, Alexander Wong:
Discovery Radiomics with CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy. CoRR abs/1710.10675 (2017) - [i27]Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Alexander Wong:
SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis. CoRR abs/1711.07459 (2017) - [i26]Ershad Banijamali, Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi:
JADE: Joint Autoencoders for Dis-Entanglement. CoRR abs/1711.09163 (2017) - 2016
- [j82]Christian Scharfenberger, Audrey G. Chung, Alexander Wong, David A. Clausi:
Salient Region Detection Using Self-Guided Statistical Non-Redundancy in Natural Images. IEEE Access 4: 48-60 (2016) - [j81]Mohammad Javad Shafiee, Parthipan Siva, Alexander Wong:
StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity. IEEE Access 4: 1915-1924 (2016) - [j80]Edward Li, Mohammad Javad Shafiee, Farnoud Kazemzadeh, Alexander Wong:
Sparse Reconstruction of Compressive Sensing Multi-Spectral Data Using an Inter-Spectral Multi-Layered Conditional Random Field Model. IEEE Access 4: 5540-5554 (2016) - [j79]Edward Li, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong:
Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields. BMC Medical Imaging 16: 51 (2016) - [j78]Chenyi Liu, Alexander Wong, Alireza A. Moayed, Paul W. Fieguth, Hongxia Bie, Kostadinka K. Bizheva:
Automatic tracking of pupillary dynamics from in vivo functional optical coherence tomography images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 4(5): 306-316 (2016) - [j77]R. S. Medeiros, Jacob Scharcanski, Alexander Wong:
Image segmentation via multi-scale stochastic regional texture appearance models. Comput. Vis. Image Underst. 142: 23-36 (2016) - [j76]Mohammad Javad Shafiee, Parthipan Siva, Christian Scharfenberger, Paul W. Fieguth, Alexander Wong:
NeRD: A Neural Response Divergence Approach to Visual Saliency Detection. IEEE Signal Process. Lett. 23(10): 1404-1408 (2016) - [j75]Linlin Xu, Alexander Wong, Fan Li, David A. Clausi:
Extraction of Endmembers From Hyperspectral Images Using A Weighted Fuzzy Purified-Means Clustering Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(2): 695-707 (2016) - [j74]Linlin Xu, Mohammad Javad Shafiee, Alexander Wong, David A. Clausi:
Fully Connected Continuous Conditional Random Field With Stochastic Cliques for Dark-Spot Detection In SAR Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(7): 2882-2890 (2016) - [j73]Andrew Cameron, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection. IEEE Trans. Biomed. Eng. 63(6): 1145-1156 (2016) - [j72]Linlin Xu, Alexander Wong, Fan Li, David A. Clausi:
Intrinsic Representation of Hyperspectral Imagery for Unsupervised Feature Extraction. IEEE Trans. Geosci. Remote. Sens. 54(2): 1118-1130 (2016) - [j71]Ameneh Boroomand, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model. IEEE Trans. Medical Imaging 35(12): 2587-2597 (2016) - [j70]Dhanaraja Kasinathan, Alireza Kasaiezadeh, Andy Wong, Amir Khajepour, Shih-Ken Chen, Bakhtiar Litkouhi:
An Optimal Torque Vectoring Control for Vehicle Applications via Real-Time Constraints. IEEE Trans. Veh. Technol. 65(6): 4368-4378 (2016) - [c116]Ahmed Gawish, Christian Scharfenberger, Hongbo Bi, Alexander Wong, Paul W. Fieguth, David A. Clausi:
Robust Non-saliency Guided Watermarking. CRV 2016: 32-36 - [c115]Francis Li, Alexander Wong, John S. Zelek:
Hierarchical Grouping Approach for Fast Approximate RGB-D Scene Flow. CRV 2016: 140-147 - [c114]Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong:
Image Restoration via Deep-Structured Stochastically Fully-Connected Conditional Random Fields (DSFCRFs) for Very Low-Light Conditions. CRV 2016: 194-200 - [c113]Brendan Chwyl, Audrey G. Chung, Robert Amelard, Jason Deglint, David A. Clausi, Alexander Wong:
Time-Frequency Domain Analysis via Pulselets for Non-contact Heart Rate Estimation from Remotely Acquired Photoplethysmograms. CRV 2016: 201-207 - [c112]Sara Greenberg, Audrey G. Chung, Brendan Chwyl, Alexander Wong:
TIGGER: A Texture-Illumination Guided Global Energy Response Model for Illumination Robust Object Saliency. CRV 2016: 296-302 - [c111]Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong:
Embedded Motion Detection via Neural Response Mixture Background Modeling. CVPR Workshops 2016: 837-844 - [c110]Parthipan Siva, Mohammad Javad Shafiee, Michael Jamieson, Alexander Wong:
Real-Time, Embedded Scene Invariant Crowd Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG). CVPR Workshops 2016: 885-892 - [c109]Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong:
Efficient Deep Feature Learning and Extraction via StochasticNets. CVPR Workshops 2016: 1101-1109 - [c108]Ameneh Boroomand, Edward Li, Mohammad Javad Shafiee, Masoom A. Haider, Farzad Khalvati, Alexander Wong:
A unified Bayesian-based compensated magnetic resonance imaging. EMBC 2016: 1192-1195 - [c107]Farzad Khalvati, Junjie Zhang, Masoom A. Haider, Alexander Wong:
Enhanced dual-stage correlated diffusion imaging. EMBC 2016: 5537-5540 - [c106]Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong:
Random feature maps via a Layered Random Projection (LARP) framework for object classification. ICIP 2016: 246-250 - [c105]Amir-Hossein Karimi, Mohammad Javad Shafiee, Christian Scharfenberger, I. BenDaya, Shahid A. Haider, N. Talukdar, David A. Clausi, Alexander Wong:
Spatio-temporal saliency detection using abstracted fully-connected graphical models. ICIP 2016: 694-698 - [c104]Brendan Chwyl, Audrey G. Chung, Robert Amelard, Jason Deglint, David A. Clausi, Alexander Wong:
SAPPHIRE: Stochastically acquired photoplethysmogram for heart rate inference in realistic environments. ICIP 2016: 1230-1234 - [c103]Ameneh Boroomand, Hicham Sekkati, Mark Lamm, David A. Clausi, Alexander Wong:
Saliency-guided projection geometric correction using a projector-camera system. ICIP 2016: 2951-2955 - [c102]Farzad Khalvati, Junjie Zhang, Alexander Wong, Masoom A. Haider:
Bag of Bags: Nested Multi Instance Classification for Prostate Cancer Detection. ICMLA 2016: 146-151 - [i25]Parthipan Siva, Mohammad Javad Shafiee, Mike Jamieson, Alexander Wong:
Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG). CoRR abs/1602.00386 (2016) - [i24]M. J. Shafiee, Parthipan Siva, Christian Scharfenberger, Paul W. Fieguth, Alexander Wong:
NeRD: a Neural Response Divergence Approach to Visual Salience Detection. CoRR abs/1602.01728 (2016) - [i23]Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong:
Random Feature Maps via a Layered Random Projection (LaRP) Framework for Object Classification. CoRR abs/1602.01818 (2016) - [i22]Robert Amelard, Richard Lee Hughson, Danielle K. Greaves, Kaylen J. Pfisterer, Jason Leung, David A. Clausi, Alexander Wong:
Non-contact hemodynamic imaging reveals the jugular venous pulse waveform. CoRR abs/1604.05213 (2016) - [i21]Farnoud Kazemzadeh, Alexander Wong:
Laser light-field fusion for wide-field lensfree on-chip phase contrast nanoscopy. CoRR abs/1604.08145 (2016) - [i20]Mohammad Javad Shafiee, Akshaya Kumar Mishra, Alexander Wong:
EvoNet: Evolutionary Synthesis of Deep Neural Networks. CoRR abs/1606.04393 (2016) - [i19]Farnoud Kazemzadeh, Alexander Wong:
Resolution- and throughput-enhanced spectroscopy using high-throughput computational slit. CoRR abs/1606.09072 (2016) - [i18]Robert Amelard, David A. Clausi, Alexander Wong:
A spectral-spatial fusion model for robust blood pulse waveform extraction in photoplethysmographic imaging. CoRR abs/1606.09118 (2016) - [i17]Robert Amelard, David A. Clausi, Alexander Wong:
Spatial probabilistic pulsatility model for enhancing photoplethysmographic imaging systems. CoRR abs/1607.08129 (2016) - [i16]Mohammad Javad Shafiee, Alexander Wong:
Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding. CoRR abs/1609.01360 (2016) - [i15]Prajna Paramita Dash, Akshaya Kumar Mishra, Alexander Wong:
Deep Quality: A Deep No-reference Quality Assessment System. CoRR abs/1609.07170 (2016) - 2015
- [j69]Alexander Wong, Mohammad Javad Shafiee, Parthipan Siva, Xiaoyu Wang:
A Deep-Structured Fully Connected Random Field Model for Structured Inference. IEEE Access 3: 469-477 (2015) - [j68]Alexander Wong, Xiaoyu Wang:
A Bayesian Residual Transform for Signal Processing. IEEE Access 3: 709-717 (2015) - [j67]Audrey G. Chung, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong:
Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework. IEEE Access 3: 2531-2541 (2015) - [j66]Alexander Wong, Chenyi Liu, Xiao Wang, Paul W. Fieguth, Hongxia Bie:
Homotopic non-local regularized reconstruction from sparse positron emission tomography measurements. BMC Medical Imaging 15: 10 (2015) - [j65]Farzad Khalvati, Alexander Wong, Masoom A. Haider:
Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models. BMC Medical Imaging 15: 27 (2015) - [j64]Dorothy Lui, Amen Modhafar, Masoom A. Haider, Alexander Wong:
Monte Carlo-based noise compensation in coil intensity corrected endorectal MRI. BMC Medical Imaging 15: 43 (2015) - [j63]Matthew Jarman, Andrzej Nowak, Wojciech Borkowski, David Serfass, Alexander Wong, Robin R. Vallacher:
The Critical Few: Anticonformists at the Crossroads of Minority Opinion Survival and Collapse. J. Artif. Soc. Soc. Simul. 18(1) (2015) - [j62]Shimon Schwartz, Alexander Wong, David A. Clausi:
Optimized sampling distribution based on nonparametric learning for improved compressive sensing performance. J. Vis. Commun. Image Represent. 31: 26-40 (2015) - [j61]Fan Li, Linlin Xu, Alexander Wong, David A. Clausi:
QMCTLS: Quasi Monte Carlo Texture Likelihood Sampling for Despeckling of Complex Polarimetric SAR Images. IEEE Geosci. Remote. Sens. Lett. 12(7): 1566-1570 (2015) - [j60]Fan Li, Linlin Xu, Alexander Wong, David A. Clausi:
Feature Extraction for Hyperspectral Imagery via Ensemble Localized Manifold Learning. IEEE Geosci. Remote. Sens. Lett. 12(12): 2486-2490 (2015) - [j59]Fan Li, Linlin Xu, Parthipan Siva, Alexander Wong, David A. Clausi:
Hyperspectral Image Classification With Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Random Fields. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2427-2438 (2015) - [j58]Linlin Xu, Fan Li, Alexander Wong, David A. Clausi:
Hyperspectral Image Denoising Using a Spatial-Spectral Monte Carlo Sampling Approach. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 3025-3038 (2015) - [j57]Robert Amelard, Jeffrey Glaister, Alexander Wong, David A. Clausi:
High-Level Intuitive Features (HLIFs) for Intuitive Skin Lesion Description. IEEE Trans. Biomed. Eng. 62(3): 820-831 (2015) - [j56]Christian Scharfenberger, Alexander Wong, David A. Clausi:
Structure-Guided Statistical Textural Distinctiveness for Salient Region Detection in Natural Images. IEEE Trans. Image Process. 24(1): 457-470 (2015) - [j55]Mohammad Javad Shafiee, Shahid A. Haider, Alexander Wong, Dorothy Lui, Andrew Cameron, Ameen Modhafar, Paul W. Fieguth, Masoom A. Haider:
Apparent Ultra-High b-Value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields. IEEE Trans. Medical Imaging 34(5): 1111-1124 (2015) - [c101]Tameem Adel, Alexander Wong:
A Probabilistic Covariate Shift Assumption for Domain Adaptation. AAAI 2015: 2476-2482 - [c100]Meng Xi Zhu, Christian Scharfenberger, Alexander Wong, David A. Clausi:
Simultaneous Scene Reconstruction and Auto-Calibration Using Constrained Iterative Closest Point for 3D Depth Sensor Array. CRV 2015: 39-45 - [c99]Francis Li, Edward Li, Mohammad Javad Shafiee, Alexander Wong, John S. Zelek:
Dense Depth Map Reconstruction from Sparse Measurements Using a Multilayer Conditional Random Field Model. CRV 2015: 86-93 - [c98]Devinder Kumar, Alexander Wong, David A. Clausi:
Lung Nodule Classification Using Deep Features in CT Images. CRV 2015: 133-138 - [c97]Linlin Xu, Mohammad Javad Shafiee, Alexander Wong, Fan Li, Lei Wang, David A. Clausi:
Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field model. CVPR Workshops 2015: 79-86 - [c96]Shahid A. Haider, Christian Scharfenberger, Farnoud Kazemzadeh, Andy Wong, David A. Clausi:
Multi-polarimetric textural distinctiveness for outdoor robotic saliency detection. Intelligent Robots and Computer Vision: Algorithms and Techniques 2015: 94060A - [c95]Thomas Dandres, Nathan Vandromme, Réjean Samson, Yves Lemieux, Glasha Obrekht, Andy Wong, Kim Khoa Nguyen, Mohamed Cheriet:
Consequences of future data centre deployment on North American electricity generation and environmental impacts: a 2015-2030 prospective study. EnviroInfo/ICT4S (2) 2015: 213 - [c94]Dionicio Vasquez, Jacob Scharcanski, Alexander Wong:
Stochastic color image segmentation using spatial constraints. I2MTC 2015: 35-40 - [c93]Brendan Chwyl, Alexander Wong, David A. Clausi:
Illumination Robust Facial Feature Detection via Decoupled Illumination and Texture Features. ICIAR 2015: 210-217 - [c92]Audrey G. Chung, Christian Scharfenberger, Farzad Khalvati, Alexander Wong, Masoom A. Haider:
Statistical Textural Distinctiveness in Multi-Parametric Prostate MRI for Suspicious Region Detection. ICIAR 2015: 368-376 - [c91]Brendan Chwyl, Audrey G. Chung, Alexander Wong, David A. Clausi:
Specular Reflectance Suppression in Endoscopic Imagery via Stochastic Bayesian Estimation. ICIAR 2015: 385-393 - [c90]Parthipan Siva, Mohammad Javad Shafiee, Francis Li, Alexander Wong:
PIRM: Fast background subtraction under sudden, local illumination changes via probabilistic illumination range modelling. ICIP 2015: 789-792 - [c89]Parthipan Siva, Christian Scharfenberger, Ibrahim Ben Daya, Akshaya Kumar Mishra, Alexander Wong:
Return of grid seams: A superpixel algorithm using discontinuous multi-functional energy seam carving. ICIP 2015: 1334-1338 - [c88]Brendan Chwyl, Audrey G. Chung, F. Y. Li, Alexander Wong, David A. Clausi:
Tiger: A texture-illumination guided energy response model for illumination robust local saliency. ICIP 2015: 1970-1974 - [c87]F. Y. Li, Mohammad Javad Shafiee, Audrey G. Chung, Brendan Chwyl, Farnoud Kazemzadeh, Alexander Wong, John S. Zelek:
High dynamic range map estimation via fully connected random fields with stochastic cliques. ICIP 2015: 2159-2163 - [c86]Mohammad Javad Shafiee, Audrey G. Chung, Alexander Wong, Paul W. Fieguth:
Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields. ICIP 2015: 3260-3264 - [c85]Akshaya Kumar Mishra, Christian Scharfenberger, Parthipan Siva, Fan Li, Alexander Wong, David A. Clausi:
DESIRe: Discontinuous energy seam carving for image retargeting via structural and textural energy functionals. ICIP 2015: 3685-3689 - [c84]Akshaya Kumar Mishra, Christian Scharfenberger, Parthipan Siva, Fan Li, Alexander Wong, David A. Clausi:
DESIRe: Discontinuous energy seam carving for image retargeting via structural and textural energy functionals. ICIP 2015: 3695-3699 - [c83]Daniel S. Cho, Shahid A. Haider, Robert Amelard, Alexander Wong, David A. Clausi:
Quantitative features for computer-aided melanoma classification using spatial heterogeneity of eumelanin and pheomelanin concentrations. ISBI 2015: 59-62 - [c82]Alexander Wong, Farzad Khalvati, Masoom A. Haider:
Dual-stage correlated diffusion imaging. ISBI 2015: 75-78 - [c81]Shahid A. Haider, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Anastasia Oikonomou, Alexander Wong, Masoom A. Haider:
Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields. ISBI 2015: 1139-1142 - [c80]Sirui Song, Andy Wong, Jan Paul Huissoon, Steven Lake Waslander:
Autonomous Vehicle Control Near the Limit of Friction. ITSC 2015: 1008-1013 - [c79]Elnaz Barshan, Paul W. Fieguth, Alexander Wong:
Scalable multi-neighborhood learning for convolutional networks. MLSP 2015: 1-6 - [c78]Jeffrey Glaister, Shahid A. Haider, Alexander Wong, David A. Clausi:
Restoration of block-transform compressed images via homotopic regularized sparse reconstruction. Visual Information Processing and Communication 2015: 941005 - [i14]Mohammad Javad Shafiee, Zohreh Azimifar, Alexander Wong:
A Deep-structured Conditional Random Field Model for Object Silhouette Tracking. CoRR abs/1501.00752 (2015) - [i13]Robert Amelard, Christian Scharfenberger, Farnoud Kazemzadeh, Kaylen J. Pfisterer, Bill S. Lin, Alexander Wong, David A. Clausi:
Non-contact transmittance photoplethysmographic imaging (PPGI) for long-distance cardiovascular monitoring. CoRR abs/1503.06775 (2015) - [i12]Mohammad Javad Shafiee, Alexander Wong, Paul W. Fieguth:
Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields. CoRR abs/1506.09110 (2015) - [i11]Tameem Adel, Alexander Wong, Daniel W. Stashuk:
A Weakly Supervised Learning Approach based on Spectral Graph-Theoretic Grouping. CoRR abs/1508.00507 (2015) - [i10]Mohammad Javad Shafiee, Parthipan Siva, Alexander Wong:
StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity. CoRR abs/1508.05463 (2015) - [i9]Audrey G. Chung, Mohammad Javad Shafiee, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection. CoRR abs/1509.00111 (2015) - [i8]Devinder Kumar, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
Discovery Radiomics for Computed Tomography Cancer Detection. CoRR abs/1509.00117 (2015) - [i7]Mohammad Javad Shafiee, Audrey G. Chung, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
Discovery Radiomics via StochasticNet Sequencers for Cancer Detection. CoRR abs/1511.03361 (2015) - [i6]Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong:
Efficient Deep Feature Learning and Extraction via StochasticNets. CoRR abs/1512.03844 (2015) - [i5]Ameneh Boroomand, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model. CoRR abs/1512.04636 (2015) - [i4]Jason Deglint, Farnoud Kazemzadeh, Daniel S. Cho, David A. Clausi, Alexander Wong:
Numerical Demultiplexing of Color Image Sensor Measurements via Non-linear Random Forest Modeling. CoRR abs/1512.05421 (2015) - [i3]Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong:
Domain Adaptation and Transfer Learning in StochasticNets. CoRR abs/1512.05844 (2015) - [i2]Edward Li, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong:
Sparse Reconstruction of Compressive Sensing MRI using Cross-Domain Stochastically Fully Connected Conditional Random Fields. CoRR abs/1512.07947 (2015) - 2014
- [j54]Chenyi Liu, Alexander Wong, Paul W. Fieguth, Kostadinka K. Bizheva, Hongxia Bie:
Noise-compensated homotopic non-local regularized reconstruction for rapid retinal optical coherence tomography image acquisitions. BMC Medical Imaging 14: 37 (2014) - [j53]Daniel S. Cho, Alexander Wong, Jack P. Callaghan, Justin Yates, David A. Clausi:
Markov-chain Monte Carlo-based image reconstruction for streak artefact reduction on contrast-enhanced computed tomography. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 2(2): 67-75 (2014) - [j52]Khalil Fergani, Dorothy Lui, Christian Scharfenberger, Andy Wong, David A. Clausi:
Hybrid structural and texture distinctiveness vector field convolution for region segmentation. Comput. Vis. Image Underst. 125: 85-96 (2014) - [j51]Arun Das, Michael Diu, Neil Mathew, Christian Scharfenberger, James Servos, Andy Wong, John S. Zelek, David A. Clausi, Steven Lake Waslander:
Mapping, Planning, and Sample Detection Strategies for Autonomous Exploration. J. Field Robotics 31(1): 75-106 (2014) - [j50]Linlin Xu, Jonathan Li, Alexander Wong, Junhuan Peng:
K-P-Means: A Clustering Algorithm of K "Purified" Means for Hyperspectral Endmember Estimation. IEEE Geosci. Remote. Sens. Lett. 11(10): 1787-1791 (2014) - [j49]Katharine Andrea Scott, Edward Li, Alexander Wong:
Sea Ice Surface Temperature Estimation Using MODIS and AMSR-E Data Within a Guided Variational Model Along the Labrador Coast. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(9): 3685-3694 (2014) - [j48]Dorothy Lui, Amen Modhafar, Jeffrey Glaister, Alexander Wong, Masoom A. Haider:
Monte Carlo Bias Field Correction in Endorectal Diffusion Imaging. IEEE Trans. Biomed. Eng. 61(2): 368-380 (2014) - [j47]Jeffrey Glaister, Alexander Wong, David A. Clausi:
Segmentation of Skin Lesions From Digital Images Using Joint Statistical Texture Distinctiveness. IEEE Trans. Biomed. Eng. 61(4): 1220-1230 (2014) - [j46]Jeffrey Glaister, Alexander Wong, David A. Clausi:
Despeckling of Synthetic Aperture Radar Images Using Monte Carlo Texture Likelihood Sampling. IEEE Trans. Geosci. Remote. Sens. 52(2): 1238-1248 (2014) - [j45]Farnoud Kazemzadeh, Shahid A. Haider, Christian Scharfenberger, Alexander Wong, David A. Clausi:
Multispectral Stereoscopic Imaging Device: Simultaneous Multiview Imaging From the Visible to the Near-Infrared. IEEE Trans. Instrum. Meas. 63(7): 1871-1873 (2014) - [j44]Dorothy Lui, Christian Scharfenberger, Khalil Fergani, Alexander Wong, David A. Clausi:
Enhanced Decoupled Active Contour Using Structural and Textural Variation Energy Functionals. IEEE Trans. Image Process. 23(2): 855-869 (2014) - [c77]Parthipan Siva, Alexander Wong:
Grid Seams: A Fast Superpixel Algorithm for Real-Time Applications. CRV 2014: 127-134 - [c76]Daniel S. Cho, Shahid A. Haider, Robert Amelard, Alexander Wong, David A. Clausi:
Physiological characterization of skin lesion using non-linear random forest regression model. EMBC 2014: 3349-3352 - [c75]Andrew Cameron, Amen Modhafar, Farzad Khalvati, Dorothy Lui, Mohammad Javad Shafiee, Alexander Wong, Masoom A. Haider:
Multiparametric MRI prostate cancer analysis via a hybrid morphological-textural model. EMBC 2014: 3357-3360 - [c74]Dorothy Lui, Christian Scharfenberger, Diana E. De Carvalho, Jack P. Callaghan, Alexander Wong:
Semi-automatic Fisher-Tippett guided active contour for lumbar multifidus muscle segmentation. EMBC 2014: 5530-5533 - [c73]Shahid A. Haider, Daniel S. Cho, Robert Amelard, Alexander Wong, David A. Clausi:
Enhanced classification of malignant melanoma lesions via the integration of physiological features from dermatological photographs. EMBC 2014: 6455-6458 - [c72]M. J. Shafiee, Alexander Wong, Parthipan Siva, Paul W. Fieguth:
Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques. ICIP 2014: 4289-4293 - [c71]Christian Scharfenberger, Aanchal Jain, Alexander Wong, Paul W. Fieguth:
Image saliency detection via multi-scale statistical non-redundancy modeling. ICIP 2014: 4294-4298 - [c70]Fan Li, Alexander Wong, David A. Clausi:
Comparison of unsupervised segmentation methods for surficial materials mapping in Nunavut, Canada using RADARSAT-2 polarimetric, Landsat-7, and DEM data. IGARSS 2014: 2727-2730 - [c69]Fan Li, Alexander Wong, David A. Clausi:
Comparative study of feature space projection methods for hyperspectral image classification. IGARSS 2014: 3438-3441 - [c68]Fan Li, Alexander Wong, David A. Clausi:
Combining rotation forests and adaboost for hyperspectral imagery classification using few labeled samples. IGARSS 2014: 4660-4663 - [c67]Parthipan Siva, Alexander Wong:
URC: Unsupervised regional clustering of remote sensing imagery. IGARSS 2014: 4938-4941 - [c66]Andy Wong, Amir Khajepour, Shih-Ken Chen, Bakhtiar Litkouhi:
Enhanced electric vehicle efficiency via wheel torque redistribution. ITSC 2014: 2793-2798 - [i1]Alexander Wong, Mohammad Javad Shafiee, Parthipan Siva, Xiaoyu Wang:
A deep-structured fully-connected random field model for structured inference. CoRR abs/1412.6586 (2014) - 2013
- [j43]Alexander Wong, Jeffrey Glaister, Andrew Cameron, Masoom A. Haider:
Correlated diffusion imaging. BMC Medical Imaging 13: 26 (2013) - [j42]Dorothy Lui, Andrew Cameron, Amen Modhafar, Daniel S. Cho, Alexander Wong:
Low-dose computed tomography via spatially adaptive Monte-Carlo reconstruction. Comput. Medical Imaging Graph. 37(7-8): 438-449 (2013) - [j41]Shimon Schwartz, Alexander Wong, David A. Clausi:
Saliency-guided compressive sensing approach to efficient laser range measurement. J. Vis. Commun. Image Represent. 24(2): 160-170 (2013) - [j40]Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieguth, David A. Clausi:
Sparse Reconstruction of Breast MRI Using Homotopic L0 Minimization in a Regional Sparsified Domain. IEEE Trans. Biomed. Eng. 60(3): 743-752 (2013) - [j39]Jeffrey Glaister, Robert Amelard, Alexander Wong, David A. Clausi:
MSIM: Multistage Illumination Modeling of Dermatological Photographs for Illumination-Corrected Skin Lesion Analysis. IEEE Trans. Biomed. Eng. 60(7): 1873-1883 (2013) - [j38]Tae Jung Kwon, Jonathan Li, Alexander Wong:
ETVOS: An Enhanced Total Variation Optimization Segmentation Approach for SAR Sea-Ice Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 51(2): 925-934 (2013) - [j37]Abhishek Kumar, Frederick Tung, Alexander Wong, David A. Clausi:
A Decoupled Approach to Illumination-Robust Optical Flow Estimation. IEEE Trans. Image Process. 22(10): 4136-4147 (2013) - [c65]Christian Scharfenberger, Alexander Wong, Khalil Fergani, John S. Zelek, David A. Clausi:
Statistical Textural Distinctiveness for Salient Region Detection in Natural Images. CVPR 2013: 979-986 - [c64]Dionicio Vasquez, Jacob Scharcanski, Alexander Wong, Silvio Crestana:
A novel 3D approach for the extraction of the wetting front in CT images of soil profiles. I2MTC 2013: 1540-1543 - [c63]R. S. Medeiros, Jacob Scharcanski, Alexander Wong:
Natural scene segmentation based on a stochastic texture region merging approach. ICASSP 2013: 1464-1467 - [c62]R. S. Medeiros, Jacob Scharcanski, Alexander Wong:
Multi-scale stochastic color texture models for skin region segmentation and gesture detection. ICME Workshops 2013: 1-4 - [c61]Frederick Tung, Alexander Wong:
Polynomial self-similarity for object classification. ICME Workshops 2013: 1-4 - [c60]Robert Amelard, Alexander Wong, Fan Li, David A. Clausi:
Unsupervised classification of sea-ice using synthetic aperture radar via an adaptive texture sparsifying transform. IGARSS 2013: 3958-3961 - [c59]Alexander Wong, Katharine Andrea Scott, Edward Li, Robert Amelard:
Continuous sea ice thickness estimation using a joint MODIS and AMSR-E guided variational model. IGARSS 2013: 4106-4109 - [c58]Robert Amelard, Alexander Wong, David A. Clausi:
Unsupervised classification of agricultural land cover using polarimetric synthetic aperture radar via a sparse texture dictionary model. IGARSS 2013: 4383-4386 - 2012
- [j36]Alexander Wong, Jacob Scharcanski:
Monte Carlo despeckling of transrectal ultrasound images of the prostate. Digit. Signal Process. 22(5): 768-775 (2012) - [j35]Alexander Wong, Xiaoyu Wang:
Monte Carlo cluster refinement for noise robust image segmentation. J. Vis. Commun. Image Represent. 23(7): 984-994 (2012) - [j34]Alexander Wong:
A Bayesian Theoretic Approach to Multiscale Complex-Phase-Order Representations. IEEE Trans. Image Process. 21(1): 28-40 (2012) - [c57]Shimon Schwartz, Alexander Wong, David A. Clausi:
Multi-Scale Saliency-Guided Compressive Sensing Approach to Efficient Robotic Laser Range Measurements. CRV 2012: 1-8 - [c56]Alexander Wong:
Perceptual Structure Distortion Ratio: An Image Quality Metric Based on Robust Measures of Complex Phase Order. CRV 2012: 56-62 - [c55]Abdullah Hojaij, Adel H. Fakih, Alexander Wong, John S. Zelek:
Difference of Circles Feature Detector. CRV 2012: 63-69 - [c54]Robert Amelard, Alexander Wong, David A. Clausi:
Extracting High-Level Intuitive Features (HLIF) for Classifying Skin Lesions Using Standard Camera Images. CRV 2012: 396-403 - [c53]Jeffrey Glaister, Alexander Wong, David A. Clausi:
Illumination correction in dermatological photographs using multi-stage illumination modeling for skin lesion analysis. EMBC 2012: 102-105 - [c52]Andrew Cameron, Jeffrey Glaister, Alexander Wong, Masoom A. Haider:
Non-parametric Bayesian estimation of apparent diffusion coefficient from diffusion-weighted magnetic resonance imaging data. EMBC 2012: 412-415 - [c51]Jeffrey Glaister, Andrew Cameron, Alexander Wong, Masoom A. Haider:
Quantitative investigative analysis of tumour separability in the prostate gland using ultra-high b-value computed diffusion imaging. EMBC 2012: 420-423 - [c50]Shimon Schwartz, Alexander Wong, David A. Clausi:
Saliency-guided compressive fluorescence microscopy. EMBC 2012: 4365-4368 - [c49]Robert Amelard, Alexander Wong, David A. Clausi:
Extracting morphological high-level intuitive features (HLIF) for enhancing skin lesion classification. EMBC 2012: 4458-4461 - [c48]Aanchal Jain, Alexander Wong, Paul W. Fieguth:
Saliency detection via statistical non-redundancy. ICIP 2012: 1073-1076 - [c47]Abhishek Kumar, Alexander Wong, Paul W. Fieguth, David A. Clausi:
Multi-scale tensor vector field active contour. ICIP 2012: 2557-2560 - 2011
- [j33]Xiaoyu Wang, Alexander Wong, Pin-Han Ho:
Stochastic Medium Access for Cognitive Radio Ad Hoc Networks. IEEE J. Sel. Areas Commun. 29(4): 770-783 (2011) - [j32]Wen Zhang, Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieguth, David A. Clausi:
Efficient Globally Optimal Registration of Remote Sensing Imagery via Quasi-Random Scale-Space Structural Correlation Energy Functional. IEEE Geosci. Remote. Sens. Lett. 8(5): 997-1001 (2011) - [j31]Alexander Wong, Akshaya Kumar Mishra, Wen Zhang, Paul W. Fieguth, David A. Clausi:
Stochastic image denoising based on Markov-chain Monte Carlo sampling. Signal Process. 91(8): 2112-2120 (2011) - [j30]Michael Frankovich, Alexander Wong:
Enhanced Seam Carving via Integration of Energy Gradient Functionals. IEEE Signal Process. Lett. 18(6): 375-378 (2011) - [j29]Alexander Wong, Akshaya Kumar Mishra:
Quasi-Monte Carlo Estimation Approach for Denoising MRI Data Based on Regional Statistics. IEEE Trans. Biomed. Eng. 58(4): 1076-1083 (2011) - [j28]Ying Liu, Alexander Wong, Paul W. Fieguth:
Synthesis of Remote Sensing Label Fields Using a Tree-Structured Hierarchical Model. IEEE Trans. Geosci. Remote. Sens. 49(6-1): 2060-2070 (2011) - [j27]Alexander Wong, Jacob Scharcanski:
Fisher-Tippett Region-Merging Approach to Transrectal Ultrasound Prostate Lesion Segmentation. IEEE Trans. Inf. Technol. Biomed. 15(6): 900-907 (2011) - [j26]Alexander Wong, Jacob Scharcanski, Paul W. Fieguth:
Automatic Skin Lesion Segmentation via Iterative Stochastic Region Merging. IEEE Trans. Inf. Technol. Biomed. 15(6): 929-936 (2011) - [c46]Alexander Wong:
Robust control point detection for aerial synthetic aperture radar via a logarithmic quasi-random scale space framework. CVPR Workshops 2011: 7-12 - [c45]Namrata Bandekar, Alexander Wong, David A. Clausi, Maud Gorbet:
A novel approach to automated cell counting for studying human corneal epithelial cells. EMBC 2011: 5997-6000 - [c44]Alexander Wong:
Constrained Bayesian streak artifact reduction approach for contrast enhanced computed tomography imaging of the intervertebral disc. EMBC 2011: 8487-8490 - [c43]Ying Liu, Alexander Wong, Paul W. Fieguth:
A structure-guided conditional sampling model for video resolution enhancement. ICIP 2011: 1169-1172 - [c42]Akshaya Kumar Mishra, Alexander Wong, Paul W. Fieguth, David A. Clausi:
Multi-scale 3D representation via volumetric quasi-random scale space. ICIP 2011: 2105-2108 - [c41]Abhishek Kumar, Alexander Wong, Akshaya Kumar Mishra, David A. Clausi, Paul W. Fieguth:
Tensor vector field based active contours. ICIP 2011: 2833-2836 - [c40]Angus Leigh, Alexander Wong, David A. Clausi, Paul W. Fieguth:
Comprehensive Analysis on the Effects of Noise Estimation Strategies on Image Noise Artifact Suppression Performance. ISM 2011: 97-104 - [c39]Jeffrey Glaister, Calvin Chan, Michael Frankovich, Adrian Tang, Alexander Wong:
Hybrid Video Compression Using Selective Keyframe Identification and Patch-Based Super-Resolution. ISM 2011: 105-110 - [c38]M. J. Shafiee, Zohreh Azimifar, Alexander Wong, Paul W. Fieguth:
A Novel Hierarchical Model-Based Frame Rate Up-Conversion via Spatio-temporal Conditional Random Fields. ISM 2011: 228-232 - [c37]Calvin Chan, Alexander Wong:
Shot Boundary Detection Using Genetic Algorithm Optimization. ISM 2011: 327-332 - 2010
- [b1]Alexander Wong:
Probabilistic complex phase representation objective function for multimodal image registration. University of Waterloo, Ontario, Canada, 2010 - [j25]Xiaoyu Wang, Alexander Wong, Pin-Han Ho:
Spectrum Sensing in Cognitive Radio Using a Markov-Chain Monte-Carlo Scheme. IEEE Commun. Lett. 14(9): 830-832 (2010) - [j24]Jacob Scharcanski, Luciano Silva da Silva, David Koff, Alexander Wong:
Interactive Modeling and Evaluation of Tumor Growth. J. Digit. Imaging 23(6): 755-768 (2010) - [j23]Andy Wong, Erhan Kozan:
Optimization of container process at seaport terminals. J. Oper. Res. Soc. 61(4): 658-665 (2010) - [j22]Alexander Wong, Peter Yu, Wen Zhang, David A. Clausi:
IceSynth II: Synthesis of SAR Sea-Ice Imagery Using Region-Based Posterior Sampling. IEEE Geosci. Remote. Sens. Lett. 7(2): 348-351 (2010) - [j21]Alexander Wong, David A. Clausi, Paul W. Fieguth:
CPOL: Complex phase order likelihood as a similarity measure for MR-CT registration. Medical Image Anal. 14(1): 50-57 (2010) - [j20]Frederick Tung, Alexander Wong, David A. Clausi:
Enabling scalable spectral clustering for image segmentation. Pattern Recognit. 43(12): 4069-4076 (2010) - [j19]Alexander Wong, David A. Clausi:
AISIR: Automated inter-sensor/inter-band satellite image registration using robust complex wavelet feature representations. Pattern Recognit. Lett. 31(10): 1160-1167 (2010) - [j18]Akshaya Kumar Mishra, Alexander Wong, David A. Clausi, Paul W. Fieguth:
Quasi-random nonlinear scale space. Pattern Recognit. Lett. 31(13): 1850-1859 (2010) - [j17]Akshaya Kumar Mishra, Alexander Wong:
KPAC: A Kernel-Based Parametric Active Contour Method for Fast Image Segmentation. IEEE Signal Process. Lett. 17(3): 312-315 (2010) - [j16]Alexander Wong, Akshaya Kumar Mishra:
Generalized Probabilistic Scale Space for Image Restoration. IEEE Trans. Image Process. 19(10): 2774-2780 (2010) - [j15]Alexander Wong:
An adaptive Monte Carlo approach to phase-based multimodal image registration. IEEE Trans. Inf. Technol. Biomed. 14(1): 173-179 (2010) - [j14]Xiaoyu Wang, Alexander Wong, Pin-Han Ho:
Extended Knowledge-Based Reasoning Approach to Spectrum Sensing for Cognitive Radio. IEEE Trans. Mob. Comput. 9(4): 465-478 (2010) - [j13]Xiaoyu Wang, Alexander Wong, Pin-Han Ho:
Dynamically optimized spatiotemporal prioritization for spectrum sensing in cooperative cognitive radio. Wirel. Networks 16(4): 889-901 (2010) - [c36]Alexander Wong, Akshaya Kumar Mishra, David A. Clausi, Paul W. Fieguth:
Quasi-Random Scale Space Approach to Robust Keypoint Extraction in High-Noise Environments. CRV 2010: 25-31 - [c35]Akshaya Kumar Mishra, Alexander Wong, David A. Clausi, Paul W. Fieguth:
A Bayesian Information Flow Approach to Image Segmentation. CRV 2010: 301-308 - [c34]Alexander Wong, Akshaya Kumar Mishra, David A. Clausi, Paul W. Fieguth:
Mammogram Image Superresolution Based on Statistical Moment Analysis. CRV 2010: 339-346 - [c33]Ying Liu, Alexander Wong, Paul W. Fieguth:
Remote sensing image synthesis. IGARSS 2010: 2467-2470 - [c32]Alexander Wong, Paul W. Fieguth:
A new Bayesian source separation approach to blind decorrelation of SAR data. IGARSS 2010: 4035-4038
2000 – 2009
- 2009
- [j12]Alexander Wong:
Pecsi: a Practical Perceptually-Enhanced Compression Framework for Still Images. Int. J. Image Graph. 9(4): 511-529 (2009) - [j11]Alexander Wong, Paul W. Fieguth:
Fast phase-based registration of multimodal image data. Signal Process. 89(5): 724-737 (2009) - [j10]Liangbin Pan, Xindong Song, Guangxin Xiang, Andy Wong, Wanli Xing, Jing Cheng:
First-Spike Rank Order as a Reliable Indicator of Burst Initiation and Its Relation With Early-to-Fire Neurons. IEEE Trans. Biomed. Eng. 56(6): 1673-1682 (2009) - [j9]Alexander Wong:
Alignment of Confocal Scanning Laser Ophthalmoscopy Photoreceptor Images at Different Polarizations Using Complex Phase Relationships. IEEE Trans. Biomed. Eng. 56(7): 1831-1837 (2009) - [j8]Alexander Wong, Akshaya Kumar Mishra, Justin Yates, Paul W. Fieguth, David A. Clausi, Jack P. Callaghan:
Intervertebral Disc Segmentation and Volumetric Reconstruction From Peripheral Quantitative Computed Tomography Imaging. IEEE Trans. Biomed. Eng. 56(11): 2748-2751 (2009) - [j7]Alexander Wong, Jacob Scharcanski:
Phase-Adaptive Superresolution of Mammographic Images Using Complex Wavelets. IEEE Trans. Image Process. 18(5): 1140-1146 (2009) - [j6]Alexander Wong, Jeff Orchard:
Robust Multimodal Registration Using Local Phase-Coherence Representations. J. Signal Process. Syst. 54(1-3): 89-100 (2009) - [c31]Xiaoyu Wang, Alexander Wong, Pin-Han Ho:
Stochastic Channel Prioritization for Spectrum Sensing in Cooperative Cognitive Radio. CCNC 2009: 1-6 - [c30]Wen Zhang, Alexander Wong, David A. Clausi:
JEDI: Adaptive Stochastic Estimation for Joint Enhancement and Despeckling of Images for SAR. CRV 2009: 101-107 - [c29]Alexander Wong, David A. Clausi, Paul W. Fieguth:
Adaptive Monte Carlo Retinex Method for Illumination and Reflectance Separation and Color Image Enhancement. CRV 2009: 108-115 - [c28]Alexander Wong, Wen Zhang, David A. Clausi:
IceSynth: An Image Synthesis System for Sea-Ice Segmentation Evaluation. CRV 2009: 178-183 - [c27]Alexander Wong, David A. Clausi, Paul W. Fieguth:
SEC: Stochastic Ensemble Consensus Approach to Unsupervised SAR Sea-Ice Segmentation. CRV 2009: 299-305 - [c26]Xiaoyu Wang, Alexander Wong, Pin-Han Ho:
Prioritized spectrum sensing in cognitive radio based on spatiotemporal statistical fusion. WCNC 2009: 1392-1397 - 2008
- [j5]Alexander Wong, William D. Bishop:
Efficient least squares fusion of MRI and CT images using a phase congruency model. Pattern Recognit. Lett. 29(3): 173-180 (2008) - [j4]Alexander Wong:
Adaptive bilateral filtering of image signals using local phase characteristics. Signal Process. 88(6): 1615-1619 (2008) - [j3]Alexander Wong, Jeff Orchard:
Efficient FFT-Accelerated Approach to Invariant Optical-LIDAR Registration. IEEE Trans. Geosci. Remote. Sens. 46(11): 3917-3925 (2008) - [c25]Alexander Wong:
An Iterative Approach to Improved Local Phase Coherence Estimation. CRV 2008: 301-307 - [c24]Alexander Wong, Paul W. Fieguth, David A. Clausi:
A perceptually adaptive approach to image denoising using anisotropic non-local means. ICIP 2008: 537-540 - [c23]Alexander Wong:
Illumination invariant active contour-based segmentation using complex-valued wavelets. ICIP 2008: 1089-1091 - [c22]Jeff Orchard, Mehran Ebrahimi, Alexander Wong:
Efficient nonlocal-means denoising using the SVD. ICIP 2008: 1732-1735 - [c21]Alexander Wong, Jeff Orchard:
A nonlocal-means approach to exemplar-based inpainting. ICIP 2008: 2600-2603 - [c20]Alexander Wong:
Simultaneous multi-modal registration of multiple images based on multi-dimensional joint phase moment distributions. ICPR 2008: 1-4 - [c19]Alexander Wong, David A. Clausi, Paul W. Fieguth:
Phase-adaptive image signal fusion using complex-valued wavelets. ICPR 2008: 1-4 - [c18]Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieguth, David A. Clausi:
An adaptive Monte Carlo approach to nonlinear image denoising. ICPR 2008: 1-4 - [c17]Akshaya Kumar Mishra, Alexander Wong, David A. Clausi, Paul W. Fieguth:
Adaptive Nonlinear Image Denoising and Restoration Using a Cooperative Bayesian Estimation Approach. ICVGIP 2008: 621-627 - [c16]Alexander Wong, William D. Bishop:
Robust Hough-Based Symbol Recognition Using Knowledge-Based Hierarchical Neural Networks. IPCV 2008: 3-9 - [c15]Alexander Wong, William D. Bishop:
Efficient and Robust Approach to Simultaneous Non-Rigid Registration and Gamma Estimation in the Frequency Domain. IPCV 2008: 278-284 - [c14]Alexander Wong, William D. Bishop:
Deblocking of Block-Transform Compressed Images Using Phase-Adaptive Shifted Thresholding. ISM 2008: 97-103 - [c13]Alexander Wong, William D. Bishop:
Robust Edge Detection Based on Non-local Contribution of Local Frequency Characteristics. ISM 2008: 119-123 - 2007
- [j2]Alexander Wong, William D. Bishop:
Practical Perceptually Adaptive Color Texture Map Compression for 3D Video Games. J. Game Dev. 2(4): 5-23 (2007) - [j1]Alexander Wong, David A. Clausi:
ARRSI: Automatic Registration of Remote-Sensing Images. IEEE Trans. Geosci. Remote. Sens. 45(5-2): 1483-1493 (2007) - [c12]Alexander Wong, Andrew A. Kennings:
Adaptive multiple texture approach to texture packing for 3D video games. Future Play 2007: 189-196 - [c11]Alexander Wong, William D. Bishop:
Simultaneous Gamma Correction and Registration in the Frequency Domain. IPCV 2007: 145-151 - [c10]Alexander Wong, William D. Bishop:
Robust Invariant Descriptor for Symbol-Based Image Recognition and Retrieval. ICSC 2007: 637-644 - [c9]Alexander Wong, William D. Bishop:
Backwards Compatible, Multi-Level Regions-of-Interest (ROI) Image Encryption Architecture with Biometric Authentication. SIGMAP 2007: 324-329 - [c8]Alexander Wong, William D. Bishop:
Adaptive large scale artifact reduction in edge-based image super-resolution. SIP 2007: 225-229 - 2006
- [c7]Alexander Wong, William D. Bishop:
Expert Knowledge Based Automatic Regions-of-Interest (ROI) Selection in Scanned Documents for Digital Image Encryption. CRV 2006: 51 - [c6]Alexander Wong, William D. Bishop:
A Flexible Content-Based Approach to Adaptive Image Compression. ICME 2006: 713-716 - [c5]Alexander Wong, Jeff Orchard:
Efficient and Robust Non-Rigid Least-Squares Rectification of Medical Images. IPCV 2006: 67-73 - [c4]Alexander Wong, William D. Bishop, Jeff Orchard:
Efficient Multi-Modal Least-Squares Alignment of Medical Images Using Quasi-Orientation Maps. IPCV 2006: 74-80 - [c3]Alexander Wong, William D. Bishop:
Adaptive Perceptual Degradation Based on Video Usage. ISM 2006: 541-548 - [c2]Alexander Wong, William D. Bishop:
Practical Content-Adaptive Subsampling for Image and Video Compression. ISM 2006: 667-673 - 2004
- [c1]Alexander Wong:
From Science to Start-Up - The VC Landscape for Emerging Technologies. ICMENS 2004: 608-609
Coauthor Index
[c201] [i215] [j130] [i184] [j126] [j125] [j124] [j123] [c186] [i168] [j118] [c174] [i137] [i118] [j105] [j104] [j100] [j98] [c151] [c140] [i83] [i77] [i71] [j92] [j91] [c135] [c134] [j87] [j86] [j85] [j84] [j83] [c130] [c125] [c122] [j82] [j75] [j74] [j72] [c116] [c113] [c105] [c104] [c103] [i22] [i18] [i17] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [c100] [c98] [c97] [c96] [c93] [c91] [c88] [c85] [c84] [c83] [c78] [i13] [i4] [j53] [j52] [j51] [j47] [j46] [j45] [j44] [c76] [c73] [c70] [c69] [c68] [j41] [j40] [j39] [j37] [c65] [c60] [c58] [c57] [c54] [c53] [c50] [c49] [c47] [j32] [j31] [c45] [c42] [c41] [c40] [j22] [j21] [j20] [j19] [j18] [c36] [c35] [c34] [j8] [c30] [c29] [c28] [c27] [c24] [c19] [c18] [c17] [j1]
Jason Deglint
aka: Jason L. Deglint
aka: Jason L. Deglint
[j115] [i108] [c157] [c156] [i75] [j90] [c136] [c133] [i53] [i40] [i39] [j88] [c126] [i31] [j78] [j76] [c116] [c111] [c109] [i24] [j66] [j55] [c86] [c79] [i12] [i6] [i3] [j54] [c72] [c71] [j40] [c48] [c47] [j32] [j31] [j28] [j26] [c43] [c42] [c41] [c40] [c38] [j21] [j18] [c36] [c35] [c34] [c33] [c32] [j11] [j8] [c29] [c27] [c24] [c19] [c18] [c17]