2024
Ba Hung Ngo, Nhat-Tuong Do-Tran, Tuan-Ngoc Nguyen, Hae-Gon Jeon and Tae Jong Choi "Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation" IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2024
BH Ngo, BT Lam, TH Nguyen, QV Dinh, TJ Choi "Dual Dynamic Consistency Regularization for Semi-supervised Domain Adaptation" IEEE Access
2023
BH Ngo, YJ Chae, JE Kwon, JH Park, SI Cho "Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy" International Conference on Computer Vision-ICCV 2023
BH Ngo, YJ Chae, SJ Park, JH Kim, SI Cho "Multiple Task-based Multi-source Domain Adaptation Using Divide-and-conquer Strategy" IEEE Access
DC Bui, TV Le, BH Ngo "C2T-Net: Channel-Aware Cross-Fused Transformer-style Networks for Pedestrian Attribute Recognition" 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
TH Nguyen, QH Kha, TNT Truong, BT Lam, BH Ngo, QV Dinh, NQK Le "Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis" International Conference on Computer Vision Workshop - ICCV Workshop
JH Park, JH Kim, BH Ngo, JE Kwon, SI Cho "Adversarial Representation Teaching with Perturbation-agnostic Student-Teacher Structure for Semi-supervised Learning" Applied Intelligence (Springer)
YJ Chae, SJ Park, ES Kang, MJ Chae, BH Ngo, SI Cho "Point2Lane: Polyline-based Reconstruction with Principal Points for Lane Detection" Transactions on Intelligent Transportation Systems.
BH Ngo, YJ Chae, JH Park, JH Kim, SI Cho "Easy-to-Hard Structure for Remote Sensing Scene Classification in Multi-Target Domain Adaptation" IEEE Transactions on Geoscience and Remote Sensing
2022
Y. J. Chae, S. J. Park, E. S. Kang, M. J. Chae, B. H. Ngo, and S. I. Cho "Point2Lane: Polyline-based Reconstruction with Principal Points for Lane Detection," in IEEE Transactions on Intelligent Transportation Systems.
B.H.Ngo, Y. J. Chae , J. H. Park, J. H. Kim and S. I. Cho "Easy-to-Hard Structure for Remote Sensing Scene Classification in Multi-Target Domain Adaptation" in IEEE Transactions on Geoscience and Remote Sensing.
J. H. Kim, B.H.Ngo, J. H. Park and S. I. Cho "Distilling and Refining Domain-Specific Knowledge for Semi-Supervised Domain Adaptation" BMVC.
S. J. Park, H. J. Park, E. S. Kang, B. H. Ngo, H. S. Lee, and S. I. Cho, "Pseudo Label Rectification via Co-teaching and Decoupling for Multi-source Domain Adaptation in Semantic Segmentation," in IEEE Access, vol. 10, pp. 91137-91149, 2022, doi: 10.1109/ACCESS.2022.3202190.
B. H. Ngo, J. H. Kim, S. J. Park and S. I. Cho, "Collaboration Between Multiple Experts for Knowledge Adaptation on Multiple Remote Sensing Sources," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022, Art no. 4707815, doi: 10.1109/TGRS.2022.3190476.
2021
B. H. Ngo, J. H. Kim, Y. J. Chae and S. I. Cho, "Multi-View Collaborative Learning for Semi-Supervised Domain Adaptation," in IEEE Access, vol. 9, pp. 166488-166501, 2021, doi: 10.1109/ACCESS.2021.3136567.
B. H. Ngo, J. H. Park, S. J. Park and S. I. Cho, "Semi-Supervised Domain Adaptation Using Explicit Class-Wise Matching for Domain-Invariant and Class-Discriminative Feature Learning," in IEEE Access, vol. 9, pp. 128467-128480, 2021, doi: 10.1109/ACCESS.2021.3110605.