Thanh Xuan Nguyen

According to our database, Thanh Xuan Nguyen authored at least 16 papers between 2015 and 2024.

Collaborative distances:

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

2024

Scalable SoftGroup for 3D Instance Segmentation on Point Clouds.

Thang Vu, Kookhoi Kim, Thanh Xuan Nguyen, Tung Minh Luu, Junyeong Kim, Chang D. Yoo

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses.

Thanh Xuan Nguyen, Tung Minh Luu, Tri Ton, Chang D. Yoo

CoRR, 2024

Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning.

Thanh Xuan Nguyen, Tung Minh Luu, Tri Ton, Sungwoong Kim, Chang D. Yoo

IEEE Access, 2024

2023

DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning.

Thanh Xuan Nguyen, Trung Xuan Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo

IEEE Access, 2023

2022

Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning.

Tung Minh Luu, Thang Vu, Thanh Xuan Nguyen, Chang D. Yoo

Sensors, 2022

SoftGroup++: Scalable 3D Instance Segmentation with Octree Pyramid Grouping.

Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Xuan Nguyen, Junyeong Kim, Chang D. Yoo

CoRR, 2022

LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic.

Trung Xuan Pham, Jin Woong Choi, Rusty John Lloyd Mina, Thanh Xuan Nguyen, Sultan Rizky Hikmawan Madjid, Chang D. Yoo

IEEE Access, 2022

Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning.

Tung Minh Luu, Thanh Xuan Nguyen, Thang Vu, Chang D. Yoo

IEEE Access, 2022

SoftGroup for 3D Instance Segmentation on Point Clouds.

Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Xuan Nguyen, Chang D. Yoo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Object Detection using Component-Graphs and ConvNets with Application to Astronomical Images. (Détection d'objets à partir de graphes de composantes et de réseaux convolutionnels avec applications aux images astronomiques).

Thanh Xuan Nguyen

PhD thesis, 2021

GDCA: GAN-based single image super resolution with Dual discriminators and Channel Attention.

Thanh Xuan Nguyen, Hieu Hoang, Chang D. Yoo

CoRR, 2021

Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images.

Thanh Xuan Nguyen, Giovanni Chierchia, Oleksandra Razim, Reynier F. Peletier, Laurent Najman, Hugues Talbot, Benjamin Perret

IEEE Access, 2021

Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model.

Thanh Xuan Nguyen, Tung Minh Luu, Thang Vu, Chang D. Yoo

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Robust Maml: Prioritization Task Buffer with Adaptive Learning Process for Model-Agnostic Meta-Learning.

Thanh Xuan Nguyen, Tung Minh Luu, Trung X. Pham, Sanzhar Rakhimkul, Chang D. Yoo

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

CGO: Multiband Astronomical Source Detection With Component-Graphs.

Thanh Xuan Nguyen, Giovanni Chierchia, Laurent Najman, Aku Venhola, Caroline Haigh, Reynier Peletier, Michael H. F. Wilkinson, Hugues Talbot, Benjamin Perret

Proceedings of the IEEE International Conference on Image Processing, 2020

2015

Robust Content-Based Image Hash Functions Using Nested Lattice Codes.

Thanh Xuan Nguyen, Ricardo Antonio Parrao Hernandez, Brian M. Kurkoski

Proceedings of the Digital-Forensics and Watermarking - 14th International Workshop, 2015