50 citations · 196 across the 45 of their papers we have counts for
6 papers · 1 filter
Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation
Junjie Li, Zilei Wang, Yuan Gao +1
In unsupervised domain adaptive (UDA) semantic segmentation, the distillation based methods are currently dominant in performance. However, the distillation technique requires comp…
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition
Qinying Liu, Zilei Wang
In this work, we consider the problem of cross-domain 3D action recognition in the open-set setting, which has been rarely explored before. Specifically, there is a source domain a…
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations
Wentao Chen, Zhang Zhang, Wei Wang +3
Few-shot learning (FSL) aims to recognize novel queries with only a few support samples through leveraging prior knowledge from a base dataset. In this paper, we consider the domai…
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring
Zhengquan Luo, Yunlong Wang, Zilei Wang +2
Attributes skew hinders the current federated learning (FL) frameworks from consistent optimization directions among the clients, which inevitably leads to performance reduction an…
Convex Combination Consistency between Neighbors for Weakly-supervised Action Localization
Qinying Liu, Zilei Wang, Ruoxi Chen +1
Weakly-supervised temporal action localization (WTAL) intends to detect action instances with only weak supervision, e.g., video-level labels. The current~\textit{de facto} pipelin…
Low-confidence Samples Matter for Domain Adaptation
Yixin Zhang, Junjie Li, Zilei Wang
Domain adaptation (DA) aims to transfer knowledge from a label-rich source domain to a related but label-scarce target domain. The conventional DA strategy is to align the feature…