20 citations · 27 across the 6 of their papers we have counts for
6 papers
Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation
Weinan He, Zilei Wang, Yixin Zhang
Universal Domain Adaptation (UniDA) focuses on transferring source domain knowledge to the target domain under both domain shift and unknown category shift. Its main challenge lies…
Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach
Qinying Liu, Zilei Wang, Shenghai Rong +2
Weakly-supervised temporal action localization aims to localize action instances in videos with only video-level action labels. Existing methods mainly embrace a localization-by-cl…
Exploiting Low-confidence Pseudo-labels for Source-free Object Detection
Zhihong Chen, Zilei Wang, Yixin Zhang
Source-free object detection (SFOD) aims to adapt a source-trained detector to an unlabeled target domain without access to the labeled source data. Current SFOD methods utilize a…
Mutilmodal Feature Extraction and Attention-based Fusion for Emotion Estimation in Videos
Tao Shu, Xinke Wang, Ruotong Wang +3
The continuous improvement of human-computer interaction technology makes it possible to compute emotions. In this paper, we introduce our submission to the CVPR 2023 Competition o…
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…
5th Place Solution for VSPW 2021 Challenge
Jiafan Zhuang, Yixin Zhang, Xinyu Hu +2
In this article, we introduce the solution we used in the VSPW 2021 Challenge. Our experiments are based on two baseline models, Swin Transformer and MaskFormer. To further boost p…