5 citations · 13 across the 12 of their papers we have counts for
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Visual Variational Autoencoder Prompt Tuning
Xi Xiao, Yunbei Zhang, Yanshuh Li +5
Parameter-efficient fine-tuning (PEFT) has emerged as a crucial approach for adapting large vision transformers to downstream tasks without the prohibitive computational costs of f…
OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation
Yunbei Zhang, Akshay Mehra, Jihun Hamm
Vision Transformers (ViTs) have demonstrated remarkable capabilities in learning representations, but their performance is compromised when applied to unseen domains. Previous meth…
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
Akshay Mehra, Yunbei Zhang, Bhavya Kailkhura +1
Achieving high accuracy on data from domains unseen during training is a fundamental challenge in domain generalization (DG). While state-of-the-art DG classifiers have demonstrate…
Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation
Janet Wang, Yunbei Zhang, Zhengming Ding +1
The development of reliable and fair diagnostic systems is often constrained by the scarcity of labeled data. To address this challenge, our work explores the feasibility of unsupe…
FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium Segmentation
Yunsung Chung, Chanho Lim, Chao Huang +2
Medical image segmentation of gadolinium enhancement magnetic resonance imaging (GE MRI) is an important task in clinical applications. However, manual annotation is time-consuming…