Pengcheng Xi

According to our database, Pengcheng Xi authored at least 64 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MetaFood3D: Large 3D Food Object Dataset with Nutrition Values.

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

CoRR, 2024

MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results.

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

CoRR, 2024

NutritionVerse-Direct: Exploring Deep Neural Networks for Multitask Nutrition Prediction from Food Images.

Matthew Keller, Chi-En Amy Tai, Yuhao Chen, Pengcheng Xi, Alexander Wong

CoRR, 2024

In The Wild Ellipse Parameter Estimation for Circular Dining Plates and Bowls.

Akil Pathiranage, Chris Czarnecki, Yuhao Chen, Pengcheng Xi, Linlin Xu, Alexander Wong

CoRR, 2024

Zero-Shot Multi-Task Cough Sound Analysis with Speech Foundation Model Embeddings.

Brady Laska, Pengcheng Xi, Julio J. Valdés, R. Bruce Wallace, Rafik Goubran

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

Multi-Level Method for Sound Source Location Measurement.

Mahya Shahmohammadimehrjardi, R. Bruce Wallace, Adrian D. C. Chan, Rafik Goubran, Pengcheng Xi, Julio J. Valdés

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

Cough Sound Analysis using Vocal Tract Models.

Brady Laska, Julio J. Valdés, Pengcheng Xi, Rafik Goubran, Bruce Wallace, Madison Cohen-McFarlane, Frank Knoefel

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

Enhancing Brain Age Prediction: A Generative AI Approach for EEG Machine Learning Models.

Zara Cook, Grant Sinha, Jack Wang, Chengzong Zhao, Nabil Belacel, Sam M. Doesburg, George Medvedev, Urs Ribary, Vasily A. Vakorin, Pengcheng Xi

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

How Much You Ate? Food Portion Estimation on Spoons.

Aaryam Sharma, Chris Czarnecki, Yuhao Chen, Pengcheng Xi, Linlin Xu, Alexander Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Data-Driven Environmental Sound Classification System with Acoustic Triboelectric Nanogenerators.

Majid Haji Bagheri, Junyou Li, Emma Gu, Karim Habashy, Md Masud Rana, Asif Abdullah Khan, Yanguang Zhang, Gaozhi Xiao, Pengcheng Xi, Dayan Ban

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024

2023

Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis.

Kai Ma, Siyuan He, Grant Sinha, Ashkan Ebadi, Adrian Florea, Stéphane Tremblay, Alexander Wong, Pengcheng Xi

Sensors, October, 2023

Byte-Pair Encoding for Classifying Routine Clinical Electroencephalograms in Adults Over the Lifespan.

Mykola Klymenko, Sam M. Doesburg, George Medvedev, Pengcheng Xi, Urs Ribary, Vasily A. Vakorin

IEEE J. Biomed. Health Informatics, April, 2023

COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound.

Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong

Sensors, March, 2023

Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions.

Grant Sinha, Krish Parmar, Hilda Azimi, Chi-En Amy Tai, Yuhao Chen, Alexander Wong, Pengcheng Xi

CoRR, 2023

NutritionVerse-Thin: An Optimized Strategy for Enabling Improved Rendering of 3D Thin Food Models.

Chi-En Amy Tai, Jason Li, Sriram Kumar, Saeejith Nair, Yuhao Chen, Pengcheng Xi, Alexander Wong

CoRR, 2023

NutritionVerse-3D: A 3D Food Model Dataset for Nutritional Intake Estimation.

Chi-En Amy Tai, Matthew Keller, Mattie Kerrigan, Yuhao Chen, Saeejith Nair, Pengcheng Xi, Alexander Wong

CoRR, 2023

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.

Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong

CoRR, 2023

Domestic Sound Classification with Deep Learning.

Zhenyu Zhang, Yichun Shen, Julio J. Valdés, Saiful Huq, Bruce Wallace, James Green, Pengcheng Xi, Rafik Goubran

Proceedings of the IEEE Sensors Applications Symposium, 2023

Data Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification.

Saiful Huq, Pengcheng Xi, Rafik Goubran, Julio J. Valdés, Frank Knoefel, James R. Green

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches.

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

Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, 2023

Machine Learning Methods for Electroencephalogram-Based Age Prediction.

Grant Sinha, Nabil Belacel, Zhiyang Gu, Sam M. Doesburg, George Medvedev, Urs Ribary, Vasily A. Vakorin, Pengcheng Xi

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

Data Augmentation and Deep Learning in Audio Classification Problems: Alignment Between Training and Test Environments.

Saiful Huq, Pengcheng Xi, Rafik Goubran, Frank Knoefel, James R. Green

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

2022

A Trustworthy Framework for Medical Image Analysis with Deep Learning.

Kai Ma, Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong

CoRR, 2022

Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography.

Kai Ma, Pengcheng Xi, Karim Habashy, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong

CoRR, 2022

COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound Videos.

Hilda Azimi, Ashkan Ebadi, Jessy Song, Pengcheng Xi, Alexander Wong

CoRR, 2022

Improving Classification Model Performance on Chest X-Rays through Lung Segmentation.

Hilda Azimi, Jianxing Zhang, Pengcheng Xi, Hala As'ad, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong

CoRR, 2022

Cough Classification Using Audio Spectrogram Transformer.

Karim Habashy, Julio J. Valdés, Madison Cohen-McFarlane, Pengcheng Xi, Bruce Wallace, Rafik Goubran, Frank Knoefel

Proceedings of the IEEE Sensors Applications Symposium, 2022

Impact of face covering models on respiratory sound classification applications.

Madison Cohen-McFarlane, Fatima Hassan, Pengcheng Xi, Bruce Wallace, Rafik Goubran, Frank Knoefel

Proceedings of the IEEE Sensors Applications Symposium, 2022

Feasibility analysis of the fusion of pressure sensors and audio measurements for respiratory evaluations.

Madison Cohen-McFarlane, Bruce Wallace, Pengcheng Xi, Rafik Goubran, Frank Knoefel

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

Vision-based Ergonomic and Fatigue Analyses for Advanced Manufacturing.

Manuela Kunz, Chang Shu, Michel Picard, Daniel Vera, Peter Hopkinson, Pengcheng Xi

Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022

Cough Classification with Deep Derived Features using Audio Spectrogram Transformer.

Julio J. Valdés, Karim Habashy, Pengcheng Xi, Madison Cohen-McFarlane, Bruce Wallace, Rafik Goubran, Frank Knoefel

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing.

Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong

Scientometrics, 2021

Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications.

Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong

CoRR, 2021

COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach.

Jianxing Zhang, Pengcheng Xi, Ashkan Ebadi, Hilda Azimi, Stéphane Tremblay, Alexander Wong

CoRR, 2021

COVIDx-US - An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics.

Ashkan Ebadi, Pengcheng Xi, Alexander MacLean, Stéphane Tremblay, Sonny Kohli, Alexander Wong

CoRR, 2021

Perithecia Detection from Images of Stubble using Deep Learning Models.

Hilda Azimi, Pengcheng Xi, Miroslava Cuperlovic-Culf, Martha Marie Vaughan

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

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.

Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization.

Julio J. Valdés, Pengcheng Xi, Madison Cohen-McFarlane, Bruce Wallace, Rafik Goubran, Frank Knoefel

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2021

Impact of face coverings on cough measurement characterization.

Madison Cohen-McFarlane, Pengcheng Xi, Bruce Wallace, Julio J. Valdés, Rafik Goubran, Frank Knoefel

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2021

2020

An integrated approach for medical abnormality detection using deep patch convolutional neural networks.

Pengcheng Xi, Haitao Guan, Chang Shu, Louis Borgeat, Rafik Goubran

Vis. Comput., 2020

Machine Learning-Based Automatic Detection of Central Sleep Apnea Events From a Pressure Sensitive Mat.

Hilda Azimi, Pengcheng Xi, Martin Bouchard, Rafik Goubran, Frank Knoefel

IEEE Access, 2020

A comparison of ECG and EEG metrics for in-flight monitoring of helicopter pilot workload.

Sujoy Ghosh Hajra, Pengcheng Xi, Andrew Law

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Capsule Deep Generative Model That Forms Parse Trees.

Yifeng Li, Xiaodan Zhu, Richard Naud, Pengcheng Xi

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

An Integrated Deep Architecture for Lesion Detection in Breast MRI.

Ghazal Rouhafzay, Yonggang Li, Haitao Guan, Chang Shu, Rafik Goubran, Pengcheng Xi

Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

2019

Pilot Workload Prediction from ECG Using Deep Convolutional Neural Networks.

Pengcheng Xi, Andrew Law, Rafik Goubran, Chang Shu

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019

A Unified Deep Learning Framework for Multi-Modal Multi-Dimensional Data.

Pengcheng Xi, Chang Shu, Rafik Goubran

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019

2018

Abnormality Detection in Mammography using Deep Convolutional Neural Networks.

Pengcheng Xi, Chang Shu, Rafik A. Goubran

Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018

2017

Localizing 3-D Anatomical Landmarks Using Deep Convolutional Neural Networks.

Pengcheng Xi, Chang Shu, Rafik Goubran

Proceedings of the 14th Conference on Computer and Robot Vision, 2017

2014

Automatic Location of Landmarks used in Manual Anthropometry.

Andrea Giachetti, E. Mazzi, Francesco Piscitelli, Masaki Aono, A. Ben Hamza, Thomas Bonis, Peter Claes, Afzal Godil, Chunyuan Li, Maks Ovsjanikov, Viorica Patraucean, Chang Shu, J. Snyders, Paul Suetens, Atsushi Tatsuma, Dirk Vandermeulen, Stefanie Wuhrer, Pengcheng Xi

Proceedings of the 7th Eurographics Workshop on 3D Object Retrieval, 2014

2013

Three-dimensional human shape inference from silhouettes: reconstruction and validation.

Jonathan Boisvert, Chang Shu, Stefanie Wuhrer, Pengcheng Xi

Mach. Vis. Appl., 2013

2012

Human shape correspondence with automatically predicted landmarks.

Stefanie Wuhrer, Pengcheng Xi, Chang Shu

Mach. Vis. Appl., 2012

Posture-invariant statistical shape analysis using Laplace operator.

Stefanie Wuhrer, Chang Shu, Pengcheng Xi

Comput. Graph., 2012

2011

Landmark-free posture invariant human shape correspondence.

Stefanie Wuhrer, Chang Shu, Pengcheng Xi

Vis. Comput., 2011

Human Body Shape Prediction and Analysis Using Predictive Clustering Tree.

Pengcheng Xi, Hongyu Guo, Chang Shu

Proceedings of the International Conference on 3D Imaging, 2011

2009

Consistent parameterization and statistical analysis of human head scans.

Pengcheng Xi, Chang Shu

Vis. Comput., 2009

Bending invariant meshes and application to groupwise correspondences.

Stefanie Wuhrer, Chang Shu, Jonathan Boisvert, Guy Godin, Pengcheng Xi

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2008

Extrapolated impulse response filter using coefficient-autocorrelation-matrix decomposition.

Lihong Zhou, Wenjiang Pei, Pengcheng Xi, Zhenya He

Signal Process., 2008

2007

Principal components analysis of 3-D scanned human heads.

Pengcheng Xi, Chang Shu, Marc Rioux

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2007

A Data-driven Approach to Human-body Cloning Using a Segmented Body Database.

Pengcheng Xi, Won-Sook Lee, Chang Shu

Proceedings of the 15th Pacific Conference on Computer Graphics and Applications, 2007

Analysis of segmented human body scans.

Pengcheng Xi, Won-Sook Lee, Chang Shu

Proceedings of the Graphics Interface 2007 Conference, May 28-30, 2007, Montreal, Canada, 2007

2006

Comprehending and Transferring Facial Expressions Based on Statistical Shape and Texture Models.

Pengcheng Xi, Won-Sook Lee, Gustavo Frederico, Chris Joslin, Lihong Zhou

Proceedings of the Advances in Computer Graphics, 2006

Frequency-Response Masking Approach for Design of Intermediate Frequency Filters in CDMA and Wideband GSM Modules.

Lihong Zhou, Wenjiang Pei, Pengcheng Xi, Zhenya He

Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2006, 2006

Optimized Design of Extrapolated Impulse Response FIR Filters with Raised-Cosine Windows.

Lihong Zhou, Wenjiang Pei, Pengcheng Xi, Zhenya He

Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2006, 2006

2004

De-noising and Recovering Images Based on Kernel PCA Theory.

Pengcheng Xi, Tao Xu

Proceedings of the 12-th International Conference in Central Europe on Computer Graphics, 2004