Thanh Tuan Nguyen

Multim. Syst., February, 2024

Rescaling large datasets based on validation outcomes of a pre-trained network.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2024

Efficient tick-shape networks of full-residual point-depth-point blocks for image classification.

[BibT_eX]

[DOI]

Neurocomputing, 2024

2023

Editorial: Towards 6G Technologies, Networks, Hardware, and Architectures.

[BibT_eX]

[DOI]

Mob. Networks Appl., December, 2023

Representing dynamic textures based on polarized gradient features.

[BibT_eX]

[DOI]

Mach. Vis. Appl., September, 2023

Robust detectors of rotationally symmetric shapes based on novel semi-shape signatures.

[BibT_eX]

[DOI]

Pattern Recognit., June, 2023

Editorial: Towards 6G Networks: Technologies, Services and Applications.

[BibT_eX]

[DOI]

Mob. Networks Appl., June, 2023

Transforming Data with Ontology and Word Embedding for an Efficient Classification Framework.

[BibT_eX]

[DOI]

Thi Thanh Sang Nguyen

Pham Minh Thu Do

Thanh Tho Quan

EAI Endorsed Trans. Ind. Networks Intell. Syst., May, 2023

Locating robust patterns based on invariant of LTP-based features.

[BibT_eX]

[DOI]

Nadège Thirion-Moreau

Pattern Recognit. Lett., January, 2023

A Comprehensive Taxonomy of Dynamic Texture Representation.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2023

Assembling Extra Features with Grouped Pointwise Convolutions for MobileNets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022

Reflection symmetry detection of shapes based on shape signatures.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Dynamic texture description using adapted bipolar-invariant and blurred features.

[BibT_eX]

[DOI]

Multidimens. Syst. Signal Process., 2022

Detecting Reflectional Symmetry of Binary Shapes Based on Generalized R-Transform.

[BibT_eX]

[DOI]

Thanh-Hai Tran

Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition, 2022

Projection of semi-shapes for rotational symmetry detection.

[BibT_eX]

[DOI]

Thanh-Hai Tran

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Prominent Local Representation for Dynamic Textures Based on High-Order Gaussian-Gradients.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

A novel filtering kernel based on difference of derivative Gaussians with applications to dynamic texture representation.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2021

Dynamic texture representation based on oriented magnitudes of Gaussian gradients.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2021

2020

Efficient Representations of Dynamic Textures. (Représentations efficaces des textures dynamiques).

[BibT_eX]

[DOI]

PhD thesis, 2020

Rubik Gaussian-based patterns for dynamic texture classification.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

Directional dense-trajectory-based patterns for dynamic texture recognition.

[BibT_eX]

[DOI]

IET Comput. Vis., 2020

Momental directional patterns for dynamic texture recognition.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2020

Dynamic Texture Representation Based on Hierarchical Local Patterns.

[BibT_eX]

[DOI]

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2020

2019

Smooth-Invariant Gaussian Features for Dynamic Texture Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Volumes of Blurred-Invariant Gaussians for Dynamic Texture Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Analysis of Images and Patterns, 2019

2018

Completed statistical adaptive patterns on three orthogonal planes for recognition of dynamic textures and scenes.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2018

Directional Beams of Dense Trajectories for Dynamic Texture Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018

2017

Completed local structure patterns on three orthogonal planes for dynamic texture recognition.

[BibT_eX]

[DOI]