Wong, Alexander

51 publications

NeurIPS 2025 3D Human Pose Estimation with Muscles Kevin Zhu, AliAsghar MohammadiNasrabadi, Alexander Wong, John McPhee

CVPRW 2025 Food Degradation Analysis Using Multimodal Fuzzy Clustering Julio J. Valdés, Stephie Liu, Shawn Yang, Yuhao Chen, Alexander Wong, Pengcheng Xi

CVPRW 2025 FoodVideoQA: A Novel Baseline Framework for Dietary Monitoring Krish Shah, Siddharth Viswanath, Pengcheng Xi, Alexander Wong, Yuhao Chen

TMLR 2025 Neuron-Based Explanations of Neural Networks Sacrifice Completeness and Interpretability Nolan Simran Dey, Eric Taylor, Alexander Wong, Bryan P. Tripp, Graham W. Taylor

CVPRW 2025 SAMJAM: Zero-Shot Video Scene Graph Generation for Egocentric Kitchen Videos Joshua Li, Fernando Jose Pena Cantu, Emily Yu, Alexander Wong, Yuchen Cui, Yuhao Chen

NeurIPSW 2024 Data Augmentation Transformations for Self-Supervised Learning with Ultrasound Blake VanBerlo, Alexander Wong, Jesse Hoey, Robert Arntfield

NeurIPSW 2024 Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts E. Zhixuan Zeng, Yuhao Chen, Alexander Wong

CVPRW 2024 How Much You Ate? Food Portion Estimation on Spoons Aaryam Sharma, Chris Czarnecki, Yuhao Chen, Pengcheng Xi, Linlin Xu, Alexander Wong

NeurIPSW 2024 Intra-Video Positive Pairs in Self-Supervised Learning for Ultrasound Blake VanBerlo, Alexander Wong, Jesse Hoey, Robert Arntfield

NeurIPSW 2024 LangDA: Language-Guided Domain Adaptive Semantic Segmentation Chang Liu, Saad Hossain, C Thomas, Kwei-Herng Lai, Raviteja Vemulapalli, Sirisha Rambhatla, Alexander Wong

CVPRW 2023 Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound Blake VanBerlo, Brian Li, Alexander Wong, Jesse Hoey, Robert Arntfield

CVPRW 2023 Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-Task Learning in Computer Vision Tasks for Robotic Grasping on the Edge Alexander Wong, Yifan Wu, Saad Abbasi, Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee

AAAI 2023 High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong

CVPRW 2023 MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng, Robbie Meyer, Maximilian Gilles, Alexander Wong

AAAI 2023 SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong

CVPRW 2023 Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis Andrew Hryniowski, Alexander Wong

NeurIPSW 2022 A Fair Loss Function for Network Pruning Robbie Meyer, Alexander Wong

NeurIPSW 2022 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 Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Adrian Florea, Andrew Hryniowski, Alexander Wong

NeurIPSW 2022 Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers Alexander Wong, Mohammad Javad Shafiee, Saad Abbasi, Saeejith Nair, Mahmoud Famouri

CVPRW 2022 FenceNet: Fine-Grained Footwork Recognition in Fencing Kevin Zhu, Alexander Wong, John McPhee

CVPRW 2022 MAPLE-Edge: A Runtime Latency Predictor for Edge Devices Saeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee

CVPRW 2022 MAPLE: Microprocessor a Priori for Latency Estimation Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee

ECCV 2022 Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation William McNally, Kanav Vats, Alexander Wong, John McPhee

CVPRW 2021 DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts Using a Single Camera William J. McNally, Pascale Walters, Kanav Vats, Alexander Wong, John McPhee

CVPRW 2021 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 Stone Yun, Alexander Wong

ICCVW 2021 MANet: A Motion-Driven Attention Network for Detecting the Pulse from a Facial Video with Drastic Motions Xuenan Liu, Xuezhi Yang, Ziyan Meng, Ye Wang, Jie Zhang, Alexander Wong

NeurIPSW 2020 Identifying and Interpreting Tuning Dimensions in Deep Networks Nolan Simran Dey, Eric Taylor, Bryan P. Tripp, Alexander Wong, Graham W Taylor

CVPR 2020 Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong

CVPR 2020 Squeeze-and-Attention Networks for Semantic Segmentation Zilong Zhong, Zhong Qiu Lin, Rene Bidart, Xiaodan Hu, Ibrahim Ben Daya, Zhifeng Li, Wei-Shi Zheng, Jonathan Li, Alexander Wong

NeurIPSW 2020 Task-Driven Learning of Contour Integration Responses in a V1 Model Salman Khan, Alexander Wong, Bryan P. Tripp

WACV 2020 Unsupervised Domain Adaptation in Person Re-ID via K-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong

CVPRW 2019 Assessing Architectural Similarity in Populations of Deep Neural Networks Audrey G. Chung, Paul W. Fieguth, Alexander Wong

CVPRW 2019 AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design Alexander Wong, Zhong Qiu Lin, Brendan Chwyl

CVPRW 2019 Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning Devinder Kumar, Ibrahim Ben Daya, Kanav Vats, Jeffery Feng, Graham W. Taylor, Alexander Wong

CVPRW 2019 Dynamic Representations Toward Efficient Inference on Deep Neural Networks by Decision Gates Mohammad Saeed Shafiee, Mohammad Javad Shafiee, Alexander Wong

CVPRW 2019 GolfDB: A Video Database for Golf Swing Sequencing William J. McNally, Kanav Vats, Tyler Pinto, Chris Dulhanty, John McPhee, Alexander Wong

CVPRW 2019 RUNet: A Robust UNet Architecture for Image Super-Resolution Xiaodan Hu, Mohamed A. Naiel, Alexander Wong, Mark Lamm, Paul W. Fieguth

CVPRW 2019 SANE: Exploring Adversarial Robustness with Stochastically Activated Network Ensembles Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong

CVPRW 2019 Towards Computer Vision Powered Color-Nutrient Assessment of Pureed Food Kaylen J. Pfisterer, Robert Amelard, Braeden Syrnyk, Alexander Wong

CVPRW 2017 Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks Devinder Kumar, Alexander Wong, Graham W. Taylor

CVPRW 2017 Hockey Action Recognition via Integrated Stacked Hourglass Network Mehrnaz Fani, Helmut Neher, David A. Clausi, Alexander Wong, John S. Zelek

ICCVW 2017 Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks M. J. Shafiee, Elnaz Barshan, Francis Li, Brendan Chwyl, Michelle Karg, Christian Scharfenberger, Alexander Wong

ICCVW 2017 The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations Through Sexual Evolutionary Synthesis Audrey G. Chung, Mohammad Javad Shafiee, Paul W. Fieguth, Alexander Wong

AAAI 2017 Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption Tameem Adel, Han Zhao, Alexander Wong

CVPRW 2016 Efficient Deep Feature Learning and Extraction via StochasticNets Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong

CVPRW 2016 Embedded Motion Detection via Neural Response Mixture Background Modeling Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong

CVPRW 2016 Real-Time, Embedded Scene Invariant Crowd Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG) Parthipan Siva, Mohammad Javad Shafiee, Michael Jamieson, Alexander Wong

AAAI 2015 A Probabilistic Covariate Shift Assumption for Domain Adaptation Tameem Adel, Alexander Wong

CVPRW 2015 Oil Spill Candidate Detection from SAR Imagery Using a Thresholding-Guided Stochastic Fully-Connected Conditional Random Field Model Linlin Xu, Mohammad Javad Shafiee, Alexander Wong, Fan Li, Lei Wang, David A. Clausi

CVPR 2013 Statistical Textural Distinctiveness for Salient Region Detection in Natural Images Christian Scharfenberger, Alexander Wong, Khalil Fergani, John S. Zelek, David A. Clausi

CVPRW 2011 Robust Control Point Detection for Aerial Synthetic Aperture Radar via a Logarithmic Quasi-Random Scale Space Framework Alexander Wong