most citedTowards Deconfounded Image-Text Matching with Causal Inference

12 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

WARM-CAT: Warm-Started Test-Time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning

Xudong Yan, Songhe Feng, Jiaxin Wang +2

Compositional Zero-Shot Learning (CZSL) aims to recognize novel attribute-object compositions based on the knowledge learned from seen ones. Existing methods suffer from performanc…

cs.MM2026

MViR: Multi-View Visual-Semantic Representation for Fake News Detection

Haochen Liang, Xinqi Su, Jun Wang +2

With the rise of online social networks, detecting fake news accurately is essential for a healthy online environment. While existing methods have advanced multimodal fake news det…

cs.CV2024★ 12 cited

Towards Deconfounded Image-Text Matching with Causal Inference

Wenhui Li, Xinqi Su, Dan Song +3

Prior image-text matching methods have shown remarkable performance on many benchmark datasets, but most of them overlook the bias in the dataset, which exists in intra-modal and i…

cs.CV2024★ 1 cited

TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Model

Yuhao Wang, Chao Hao, Yawen Cui +4

The vision-language modeling capability of multi-modal large language models has attracted wide attention from the community. However, in medical domain, radiology report generatio…

cs.AI2024★ 1 cited

Dynamic Analysis and Adaptive Discriminator for Fake News Detection

Xinqi Su, Zitong Yu, Yawen Cui +7

In current web environment, fake news spreads rapidly across online social networks, posing serious threats to society. Existing multimodal fake news detection methods can generall…