24 citations · 50 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 24 cited
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning
Linhai Zhuo, Yuqian Fu, Jingjing Chen +2
Given sufficient training data on the source domain, cross-domain few-shot learning (CD-FSL) aims at recognizing new classes with a small number of labeled examples on the target d…
cs.CV2022★ 23 cited
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning
Yuqian Fu, Yu Xie, Yanwei Fu +2
Recently, Cross-Domain Few-Shot Learning (CD-FSL) which aims at addressing the Few-Shot Learning (FSL) problem across different domains has attracted rising attention. The core cha…
cs.CV2021★ 3 cited
Can Action be Imitated? Learn to Reconstruct and Transfer Human Dynamics from Videos
Yuqian Fu, Yanwei Fu, Yu-Gang Jiang
Given a video demonstration, can we imitate the action contained in this video? In this paper, we introduce a novel task, dubbed mesh-based action imitation. The goal of this task…