Maurice Quach

PhD thesis, 2022

Learning-based 3D point cloud quality assessment using a support vector regressor.

[BibT_eX]

[DOI]

Proceedings of the Image Quality and System Performance XIX, 2022

2021

Lossless Coding of Point Cloud Geometry Using a Deep Generative Model.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Convolutional Neural Network for 3D Point Cloud Quality Assessment with Reference.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

A deep perceptual metric for 3D point clouds.

[BibT_eX]

[DOI]

Proceedings of the Image Quality and System Performance XVIII, Electronic Imaging 2021, 2021

A Deep Point Cloud Geometry Coding Toolbox.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

Multiscale deep context modeling for lossless point cloud geometry compression.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

Deep Learning-Based Quality Assessment Of 3d Point Clouds Without Reference.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

Learning-Based Lossless Compression of 3D Point Cloud Geometry.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Combination of Deep Learning-Based and Handcrafted Features for Blind Image Quality Assessment.

[BibT_eX]

[DOI]

Proceedings of the 9th European Workshop on Visual Information Processing, 2021

2020

Improved Deep Point Cloud Geometry Compression.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

Folding-Based Compression Of Point Cloud Attributes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression.

[BibT_eX]

[DOI]