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Nhat-Tuong Do-Tran

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
ORCID 0009-0000-7900-1564

identity via Semantic Scholar / OpenAlex

most citedLearning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation

1 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2025

TRUST: Token-dRiven Ultrasound Style Transfer for Cross-Device Adaptation

Nhat-Tuong Do-Tran, Ngoc-Hoang-Lam Le, Ian Chiu +2

Ultrasound images acquired from different devices exhibit diverse styles, resulting in decreased performance of downstream tasks. To mitigate the style gap, unpaired image-to-image…

cs.CV2024★ 1 cited

HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation

Ba Hung Ngo, Doanh C. Bui, Nhat-Tuong Do-Tran +1

The enhanced representational power and broad applicability of deep learning models have attracted significant interest from the research community in recent years. However, these…

cs.CV2024★ 1 cited

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

Ba Hung Ngo, Nhat-Tuong Do-Tran, Tuan-Ngoc Nguyen +2

Most domain adaptation (DA) methods are based on either a convolutional neural networks (CNNs) or a vision transformers (ViTs). They align the distribution differences between doma…

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