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Yujian Feng

2 accepted papers

2026

Spatial-Frequency Collaborative Learning for Occluded Visible-Infrared Person Re-Identification

CVPR 2026

Occluded visible-infrared person re-identification (Occluded VI-ReID) remains difficult due to modality heterogeneity and occlusions, both of which break structural consistency and weaken cross-modality feature alignment. Existing methods rely mainly on spatial-domain cues (such as local body parts

Cited by 0Source ↗Scholar ↗
2024

Semantic Distillation and Structural Alignment Network for Fake News Detection

ICASSP 2024accepted

In recent years, the rapid proliferation of multi-modal fake news has posed potential harm across various sectors of society, making the detection of multi-modal fake news crucial. Most existing methods can not effectively reduce the redundant information and preserve both semantic and structural in…

Cited by 0Source ↗Scholar ↗