default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPengcheng Xi
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c36]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- [c35]Zara Cook, Grant Sinha, Jack Wang, Chengzong Zhao, Nabil Belacel, Sam M. Doesburg, George Medvedev, Urs Ribary, Vasily A. Vakorin, Pengcheng Xi:
Enhancing Brain Age Prediction: A Generative AI Approach for EEG Machine Learning Models. I2MTC 2024: 1-6 - [c34]Brady Laska
, Julio J. Valdés, Pengcheng Xi, Rafik Goubran, Bruce Wallace, Madison Cohen-McFarlane, Frank Knoefel:
Cough Sound Analysis using Vocal Tract Models. I2MTC 2024: 1-6 - [c33]Mahya Shahmohammadimehrjardi, R. Bruce Wallace, Adrian D. C. Chan, Rafik Goubran, Pengcheng Xi, Julio J. Valdés:
Multi-Level Method for Sound Source Location Measurement. I2MTC 2024: 1-6 - [c32]Brady Laska, Pengcheng Xi, Julio J. Valdés, R. Bruce Wallace, Rafik Goubran:
Zero-Shot Multi-Task Cough Sound Analysis with Speech Foundation Model Embeddings. MeMeA 2024: 1-6 - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - 2023
- [j12]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) - [j11]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) - [j10]Mykola Klymenko, Sam M. Doesburg, George Medvedev, Pengcheng Xi, Urs Ribary, Vasily A. Vakorin:
Byte-Pair Encoding for Classifying Routine Clinical Electroencephalograms in Adults Over the Lifespan. IEEE J. Biomed. Health Informatics 27(4): 1881-1890 (2023) - [c31]Saiful Huq, Pengcheng Xi, Rafik Goubran, Frank Knoefel, James R. Green:
Data Augmentation and Deep Learning in Audio Classification Problems: Alignment Between Training and Test Environments. BIBE 2023: 140-146 - [c30]Grant Sinha, Nabil Belacel, Zhiyang Gu, Sam M. Doesburg, George Medvedev, Urs Ribary, Vasily A. Vakorin, Pengcheng Xi:
Machine Learning Methods for Electroencephalogram-Based Age Prediction. SENSORS 2023: 1-4 - [c29]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 - [c28]Saiful Huq, Pengcheng Xi, Rafik Goubran, Julio J. Valdés, Frank Knoefel, James R. Green:
Data Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification. MeMeA 2023: 1-6 - [c27]Zhenyu Zhang, Yichun Shen, Julio J. Valdés, Saiful Huq, Bruce Wallace, James Green, Pengcheng Xi, Rafik Goubran:
Domestic Sound Classification with Deep Learning. SAS 2023: 1-6 - [i15]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) - [i14]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) - [i13]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) - [i12]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) - [i11]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) - 2022
- [c26]Julio J. Valdés, Karim Habashy, Pengcheng Xi, Madison Cohen-McFarlane, Bruce Wallace, Rafik Goubran, Frank Knoefel:
Cough Classification with Deep Derived Features using Audio Spectrogram Transformer. IEEE Big Data 2022: 1729-1739 - [c25]Manuela Kunz, Chang Shu, Michel Picard, Daniel Vera, Peter Hopkinson, Pengcheng Xi:
Vision-based Ergonomic and Fatigue Analyses for Advanced Manufacturing. ICPS 2022: 1-7 - [c24]Madison Cohen-McFarlane, Bruce Wallace, Pengcheng Xi, Rafik Goubran, Frank Knoefel:
Feasibility analysis of the fusion of pressure sensors and audio measurements for respiratory evaluations. MeMeA 2022: 1-6 - [c23]Madison Cohen-McFarlane, Fatima Hassan, Pengcheng Xi, Bruce Wallace, Rafik Goubran, Frank Knoefel:
Impact of face covering models on respiratory sound classification applications. SAS 2022: 1-6 - [c22]Karim Habashy, Julio J. Valdés, Madison Cohen-McFarlane, Pengcheng Xi, Bruce Wallace, Rafik Goubran, Frank Knoefel:
Cough Classification Using Audio Spectrogram Transformer. SAS 2022: 1-6 - [i10]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) - [i9]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) - [i8]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) - [i7]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) - 2021
- [j9]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) - [c21]Madison Cohen-McFarlane, Pengcheng Xi, Bruce Wallace, Julio J. Valdés, Rafik Goubran, Frank Knoefel:
Impact of face coverings on cough measurement characterization. MeMeA 2021: 1-6 - [c20]Julio J. Valdés, Pengcheng Xi, Madison Cohen-McFarlane, Bruce Wallace, Rafik Goubran, Frank Knoefel:
Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization. MeMeA 2021: 1-6 - [c19]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 - [c18]Hilda Azimi, Pengcheng Xi, Miroslava Cuperlovic-Culf, Martha Marie Vaughan:
Perithecia Detection from Images of Stubble using Deep Learning Models. SSCI 2021: 1-7 - [i6]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) - [i5]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) - [i4]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) - [i3]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) - 2020
- [j8]Hilda Azimi, Pengcheng Xi, Martin Bouchard, Rafik Goubran, Frank Knoefel:
Machine Learning-Based Automatic Detection of Central Sleep Apnea Events From a Pressure Sensitive Mat. IEEE Access 8: 173428-173439 (2020) - [j7]Pengcheng Xi, Haitao Guan, Chang Shu, Louis Borgeat, Rafik Goubran:
An integrated approach for medical abnormality detection using deep patch convolutional neural networks. Vis. Comput. 36(9): 1869-1882 (2020) - [c17]Ghazal Rouhafzay, Yonggang Li, Haitao Guan, Chang Shu, Rafik Goubran, Pengcheng Xi:
An Integrated Deep Architecture for Lesion Detection in Breast MRI. ICPRAI 2020: 646-659 - [c16]Yifeng Li, Xiaodan Zhu, Richard Naud, Pengcheng Xi:
Capsule Deep Generative Model That Forms Parse Trees. IJCNN 2020: 1-8 - [c15]Sujoy Ghosh Hajra, Pengcheng Xi, Andrew Law:
A comparison of ECG and EEG metrics for in-flight monitoring of helicopter pilot workload. SMC 2020: 4012-4019 - [i2]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)
2010 – 2019
- 2019
- [c14]Pengcheng Xi, Chang Shu, Rafik Goubran:
A Unified Deep Learning Framework for Multi-Modal Multi-Dimensional Data. MeMeA 2019: 1-6 - [c13]Pengcheng Xi, Andrew Law, Rafik Goubran, Chang Shu:
Pilot Workload Prediction from ECG Using Deep Convolutional Neural Networks. MeMeA 2019: 1-6 - 2018
- [c12]Pengcheng Xi, Chang Shu, Rafik A. Goubran:
Abnormality Detection in Mammography using Deep Convolutional Neural Networks. MeMeA 2018: 1-6 - [i1]Pengcheng Xi, Chang Shu, Rafik Goubran:
Abnormality Detection in Mammography using Deep Convolutional Neural Networks. CoRR abs/1803.01906 (2018) - 2017
- [c11]Pengcheng Xi, Chang Shu, Rafik Goubran:
Localizing 3-D Anatomical Landmarks Using Deep Convolutional Neural Networks. CRV 2017: 197-204 - 2014
- [c10]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:
Automatic Location of Landmarks used in Manual Anthropometry. 3DOR@Eurographics 2014: 93-100 - 2013
- [j6]Jonathan Boisvert, Chang Shu, Stefanie Wuhrer, Pengcheng Xi:
Three-dimensional human shape inference from silhouettes: reconstruction and validation. Mach. Vis. Appl. 24(1): 145-157 (2013) - 2012
- [j5]Stefanie Wuhrer, Chang Shu, Pengcheng Xi:
Posture-invariant statistical shape analysis using Laplace operator. Comput. Graph. 36(5): 410-416 (2012) - [j4]Stefanie Wuhrer, Pengcheng Xi, Chang Shu:
Human shape correspondence with automatically predicted landmarks. Mach. Vis. Appl. 23(4): 821-830 (2012) - 2011
- [j3]Stefanie Wuhrer, Chang Shu, Pengcheng Xi:
Landmark-free posture invariant human shape correspondence. Vis. Comput. 27(9): 843-852 (2011) - [c9]Pengcheng Xi, Hongyu Guo, Chang Shu:
Human Body Shape Prediction and Analysis Using Predictive Clustering Tree. 3DIMPVT 2011: 196-203
2000 – 2009
- 2009
- [j2]Pengcheng Xi, Chang Shu:
Consistent parameterization and statistical analysis of human head scans. Vis. Comput. 25(9): 863-871 (2009) - [c8]Stefanie Wuhrer, Chang Shu, Jonathan Boisvert, Guy Godin, Pengcheng Xi:
Bending invariant meshes and application to groupwise correspondences. ICCV Workshops 2009: 382-389 - 2008
- [j1]Lihong Zhou, Wenjiang Pei, Pengcheng Xi, Zhenya He:
Extrapolated impulse response filter using coefficient-autocorrelation-matrix decomposition. Signal Process. 88(7): 1762-1774 (2008) - 2007
- [c7]Pengcheng Xi, Won-Sook Lee, Chang Shu:
Analysis of segmented human body scans. Graphics Interface 2007: 19-26 - [c6]Pengcheng Xi, Won-Sook Lee, Chang Shu:
A Data-driven Approach to Human-body Cloning Using a Segmented Body Database. PG 2007: 139-147 - [c5]Pengcheng Xi, Chang Shu, Marc Rioux:
Principal components analysis of 3-D scanned human heads. SIGGRAPH Posters 2007: 30 - 2006
- [c4]Lihong Zhou, Wenjiang Pei, Pengcheng Xi, Zhenya He:
Optimized Design of Extrapolated Impulse Response FIR Filters with Raised-Cosine Windows. APCCAS 2006: 558-561 - [c3]Lihong Zhou, Wenjiang Pei, Pengcheng Xi, Zhenya He:
Frequency-Response Masking Approach for Design of Intermediate Frequency Filters in CDMA and Wideband GSM Modules. APCCAS 2006: 736-739 - [c2]Pengcheng Xi, Won-Sook Lee, Gustavo Frederico, Chris Joslin, Lihong Zhou:
Comprehending and Transferring Facial Expressions Based on Statistical Shape and Texture Models. Computer Graphics International 2006: 265-276 - 2004
- [c1]Pengcheng Xi, Tao Xu:
De-noising and Recovering Images Based on Kernel PCA Theory. WSCG (Posters) 2004: 197-200
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 20:26 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
