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Xueya Zhang

2 accepted papers

2021

Wasserstein Coupled Graph Learning for Cross-Modal Retrieval

ICCV 2021poster

Graphs play an important role in cross-modal image-text understanding as they characterize the intrinsic structure which is robust and crucial for the measurement of cross-modal similarity. In this work, we propose a Wasserstein Coupled Graph Learning (WCGL) method to deal with the cross-modal retri…

Cited by 29PDFScholar
2020

Graph Wasserstein Correlation Analysis for Movie Retrieval

ECCV 2020poster

Movie graphs play an important role to bridge heterogenous modalities of videos and texts in human-centric retrieval. In this work, we propose Graph Wasserstein Correlation Analysis (GWCA) to deal with the core issue therein, i.e, cross heterogeneous graph comparison. Spectral graph filtering is int…