Oversampling Facial Motion Features Using the Variational Autoencoder to Estimate Oro-facial Dysfunction Severity

Trassandra Jewelle Ipapo; Charlize Del Rosario; Raphael Alampay; Patricia Angela Abu

doi:10.1109/CGIP58526.2023.00013

Oversampling Facial Motion Features Using the Variational Autoencoder to Estimate Oro-facial Dysfunction Severity

Trassandra Jewelle Ipapo, Charlize Del Rosario, Raphael Alampay, Patricia Angela Abu

Department of Information Systems and Computer Science

Ateneo de Manila University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 2023 International Conference on Computer Graphics and Image Processing, CGIP 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	23-28
Number of pages	6
ISBN (Electronic)	9798350333183
DOIs	https://doi.org/10.1109/CGIP58526.2023.00013
State	Published - 2023
Event	1st International Conference on Computer Graphics and Image Processing, CGIP 2023 - Tokyo, Japan Duration: Jan 13 2023 → Jan 16 2023

Publication series

Name	Proceedings - 2023 International Conference on Computer Graphics and Image Processing, CGIP 2023

Conference

Conference	1st International Conference on Computer Graphics and Image Processing, CGIP 2023
Country/Territory	Japan
City	Tokyo
Period	1/13/23 → 1/16/23

ASJC Scopus Subject Areas

Computer Graphics and Computer-Aided Design
Signal Processing
Media Technology
Radiology Nuclear Medicine and imaging

Keywords

class imbalance
oro-facial dysfunction
oversampling
variational autoencoder

Access to Document

10.1109/CGIP58526.2023.00013

Cite this

Ipapo, T. J., Del Rosario, C., Alampay, R., & Abu, P. A. (2023). Oversampling Facial Motion Features Using the Variational Autoencoder to Estimate Oro-facial Dysfunction Severity. In Proceedings - 2023 International Conference on Computer Graphics and Image Processing, CGIP 2023 (pp. 23-28). (Proceedings - 2023 International Conference on Computer Graphics and Image Processing, CGIP 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CGIP58526.2023.00013

Oversampling Facial Motion Features Using the Variational Autoencoder to Estimate Oro-facial Dysfunction Severity. / Ipapo, Trassandra Jewelle; Del Rosario, Charlize; Alampay, Raphael et al.
Proceedings - 2023 International Conference on Computer Graphics and Image Processing, CGIP 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 23-28 (Proceedings - 2023 International Conference on Computer Graphics and Image Processing, CGIP 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ipapo, TJ, Del Rosario, C, Alampay, R & Abu, PA 2023, Oversampling Facial Motion Features Using the Variational Autoencoder to Estimate Oro-facial Dysfunction Severity. in Proceedings - 2023 International Conference on Computer Graphics and Image Processing, CGIP 2023. Proceedings - 2023 International Conference on Computer Graphics and Image Processing, CGIP 2023, Institute of Electrical and Electronics Engineers Inc., pp. 23-28, 1st International Conference on Computer Graphics and Image Processing, CGIP 2023, Tokyo, Japan, 1/13/23. https://doi.org/10.1109/CGIP58526.2023.00013

Ipapo TJ, Del Rosario C, Alampay R, Abu PA. Oversampling Facial Motion Features Using the Variational Autoencoder to Estimate Oro-facial Dysfunction Severity. In Proceedings - 2023 International Conference on Computer Graphics and Image Processing, CGIP 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 23-28. (Proceedings - 2023 International Conference on Computer Graphics and Image Processing, CGIP 2023). doi: 10.1109/CGIP58526.2023.00013

Ipapo, Trassandra Jewelle ; Del Rosario, Charlize ; Alampay, Raphael et al. / Oversampling Facial Motion Features Using the Variational Autoencoder to Estimate Oro-facial Dysfunction Severity. Proceedings - 2023 International Conference on Computer Graphics and Image Processing, CGIP 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 23-28 (Proceedings - 2023 International Conference on Computer Graphics and Image Processing, CGIP 2023).

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title = "Oversampling Facial Motion Features Using the Variational Autoencoder to Estimate Oro-facial Dysfunction Severity",

keywords = "class imbalance, oro-facial dysfunction, oversampling, variational autoencoder",

author = "Ipapo, {Trassandra Jewelle} and {Del Rosario}, Charlize and Raphael Alampay and Abu, {Patricia Angela}",

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AU - Ipapo, Trassandra Jewelle

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BT - Proceedings - 2023 International Conference on Computer Graphics and Image Processing, CGIP 2023

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Oversampling Facial Motion Features Using the Variational Autoencoder to Estimate Oro-facial Dysfunction Severity

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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