2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Heterogeneous-Modal Unsupervised Domain Adaptation via Latent Space Bridging
Jiawen Yang, Shuhao Chen, Yucong Duan +2
Unsupervised domain adaptation (UDA) methods effectively bridge domain gaps but become struggled when the source and target domains belong to entirely distinct modalities. To addre…
cs.CV2024★ 1 cited
VLLaVO: Mitigating Visual Gap through LLMs
Shuhao Chen, Yulong Zhang, Weisen Jiang +2
Recent advances achieved by deep learning models rely on the independent and identically distributed assumption, hindering their applications in real-world scenarios with domain sh…
cs.LG2023★ 2 cited
Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation
Yulong Zhang, Shuhao Chen, Weisen Jiang +3
Limited transferability hinders the performance of deep learning models when applied to new application scenarios. Recently, Unsupervised Domain Adaptation (UDA) has achieved signi…