12 citations · 14 across the 6 of their papers we have counts for
6 papers
Reverse to Advance: Teleoperation-Cost Effective Hard Policy Learning from Reversed Easy Tasks
Qiyuan Qiao, Ge Yuan, Can Wang +1
High-quality teleoperation datasets are costly to collect, particularly for hard tasks. We observe that many tasks exhibit directional asymmetry: completing the forward hard task i…
Device-Conditioned Neural Architecture Search for Efficient Robotic Manipulation
Yiming Wu, Huan Wang, Zhenghao Chen +2
The growing complexity of visuomotor policies poses significant challenges for deployment with heterogeneous robotic hardware constraints. However, most existing model-efficient ap…
AdaWorldPolicy: World-Model-Driven Diffusion Policy with Online Adaptive Learning for Robotic Manipulation
Ge Yuan, Qiyuan Qiao, Jing Zhang +1
Effective robotic manipulation requires policies that can anticipate physical outcomes and adapt to real-world environments. Effective robotic manipulation requires policies that c…
E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion
Maomao Li, Ge Yuan, Cairong Wang +5
This paper proposes a novel approach to face swapping from the perspective of fine-grained facial editing, dubbed "editing for swapping" (E4S). The traditional face swapping method…
ReliableSwap: Boosting General Face Swapping Via Reliable Supervision
Ge Yuan, Maomao Li, Yong Zhang +1
Almost all advanced face swapping approaches use reconstruction as the proxy task, i.e., supervision only exists when the target and source belong to the same person. Otherwise, la…
Inserting Anybody in Diffusion Models via Celeb Basis
Ge Yuan, Xiaodong Cun, Yong Zhang +5
Exquisite demand exists for customizing the pretrained large text-to-image model, , Stable Diffusion, to generate innovative concepts, such as the users themselves.…