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Anh Bui

2 accepted papers

2025

Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation

CVPR 2025poster

Recent approaches leveraging multi-modal pre-trained models like CLIP for Unsupervised Domain Adaptation (UDA) have shown significant promise in bridging domain gaps and improving generalization by utilizing rich semantic knowledge and robust visual representations learned through extensive pre-trai…

Cited by 0SourcePDFScholar
2020

Improving Adversarial Robustness by Enforcing Local and Global Compactness

ECCV 2020poster

The fact that deep neural networks are susceptible to crafted perturbations severely impacts the use of deep learning in certain domains of application. Among many developed defense models against such attacks, adversarial training emerges as the most successful method that consistently resists a wi…