7 citations · 17 across the 6 of their papers we have counts for
6 papers
SRPCN: Structure Retrieval based Point Completion Network
Kaiyi Zhang, Ximing Yang, Yuan Wu +1
Given partial objects and some complete ones as references, point cloud completion aims to recover authentic shapes. However, existing methods pay little attention to general shape…
Attention-based Transformation from Latent Features to Point Clouds
Kaiyi Zhang, Ximing Yang, Yuan Wu +1
In point cloud generation and completion, previous methods for transforming latent features to point clouds are generally based on fully connected layers (FC-based) or folding oper…
Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation
Yuan Wu, Diana Inkpen, Ahmed El-Roby
Adversarial domain adaptation has made impressive advances in transferring knowledge from the source domain to the target domain by aligning feature distributions of both domains.…
Conditional Adversarial Networks for Multi-Domain Text Classification
Yuan Wu, Diana Inkpen, Ahmed El-Roby
In this paper, we propose conditional adversarial networks (CANs), a framework that explores the relationship between the shared features and the label predictions to impose more d…
Mixup Regularized Adversarial Networks for Multi-Domain Text Classification
Yuan Wu, Diana Inkpen, Ahmed El-Roby
Using the shared-private paradigm and adversarial training has significantly improved the performances of multi-domain text classification (MDTC) models. However, there are two iss…
Estimating Uncertainty Intervals from Collaborating Networks
Tianhui Zhou, Yitong Li, Yuan Wu +1
Effective decision making requires understanding the uncertainty inherent in a prediction. In regression, this uncertainty can be estimated by a variety of methods; however, many o…