Ba Hung Ngo

Orcid: 0000-0003-1818-9203

According to our database1, Ba Hung Ngo authored at least 14 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation.
CoRR, 2024

Dual Dynamic Consistency Regularization for Semi-Supervised Domain Adaptation.
IEEE Access, 2024

2023
Point2Lane: Polyline-Based Reconstruction With Principal Points for Lane Detection.
IEEE Trans. Intell. Transp. Syst., December, 2023

Adversarial representation teaching with perturbation-agnostic student-teacher structure for semi-supervised learning.
Appl. Intell., November, 2023

Easy-to-Hard Structure for Remote Sensing Scene Classification in Multitarget Domain Adaptation.
IEEE Trans. Geosci. Remote. Sens., 2023

Multiple Tasks-Based Multi-Source Domain Adaptation Using Divide-and-Conquer Strategy.
IEEE Access, 2023

Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Improved Knowledge Transfer for Semi-supervised Domain Adaptation via Trico Training Strategy.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Collaboration Between Multiple Experts for Knowledge Adaptation on Multiple Remote Sensing Sources.
IEEE Trans. Geosci. Remote. Sens., 2022

Pseudo Label Rectification via Co-Teaching and Decoupling for Multisource Domain Adaptation in Semantic Segmentation.
IEEE Access, 2022

Distilling and Refining Domain-Specific Knowledge for Semi-Supervised Domain Adaptation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Semi-Supervised Domain Adaptation Using Explicit Class-Wise Matching for Domain-Invariant and Class-Discriminative Feature Learning.
IEEE Access, 2021

Multi-View Collaborative Learning for Semi-Supervised Domain Adaptation.
IEEE Access, 2021

2013
Optimized data management for e-learning in the clouds towards Cloodle.
Proceedings of the 4th International Symposium on Information and Communication Technology, 2013


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