5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2023
SCoDA: Domain Adaptive Shape Completion for Real Scans
Yushuang Wu, Zizheng Yan, Ce Chen +6
3D shape completion from point clouds is a challenging task, especially from scans of real-world objects. Considering the paucity of 3D shape ground truths for real scans, existing…
cs.CV2023★ 1 cited
MVImgNet: A Large-scale Dataset of Multi-view Images
Xianggang Yu, Mutian Xu, Yidan Zhang +10
Being data-driven is one of the most iconic properties of deep learning algorithms. The birth of ImageNet drives a remarkable trend of "learning from large-scale data" in computer…
cs.CV2022★ 5 cited
Multi-level Consistency Learning for Semi-supervised Domain Adaptation
Zizheng Yan, Yushuang Wu, Guanbin Li +3
Semi-supervised domain adaptation (SSDA) aims to apply knowledge learned from a fully labeled source domain to a scarcely labeled target domain. In this paper, we propose a Multi-l…