27 citations · 47 across the 11 of their papers we have counts for
11 papers
FedPFT: Federated Proxy Fine-Tuning of Foundation Models
Zhaopeng Peng, Xiaoliang Fan, Yufan Chen +5
Adapting Foundation Models (FMs) for downstream tasks through Federated Learning (FL) emerges a promising strategy for protecting data privacy and valuable FMs. Existing methods fi…
Dynamic Association Learning of Self-Attention and Convolution in Image Restoration
Kui Jiang, Xuemei Jia, Wenxin Huang +3
CNNs and Self attention have achieved great success in multimedia applications for dynamic association learning of self-attention and convolution in image restoration. However, CNN…
Beyond Domain Gap: Exploiting Subjectivity in Sketch-Based Person Retrieval
Kejun Lin, Zhixiang Wang, Zheng Wang +2
Person re-identification (re-ID) requires densely distributed cameras. In practice, the person of interest may not be captured by cameras and, therefore, needs to be retrieved usin…
Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia Visual Inspection
Yichen Zhang, Yifang Yin, Ying Zhang +3
Early detection of dysplasia of the cervix is critical for cervical cancer treatment. However, automatic cervical dysplasia diagnosis via visual inspection, which is more appropria…
DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd Counting
Huilin Zhu, Jingling Yuan, Xian Zhong +3
Domain adaptation is commonly employed in crowd counting to bridge the domain gaps between different datasets. However, existing domain adaptation methods tend to focus on inter-da…
From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement
Wanyu Wu, Wei Wang, Zheng Wang +2
Most existing Low-Light Image Enhancement (LLIE) methods are primarily designed to improve brightness in dark regions, which suffer from severe degradation in nighttime images. How…