5 citations · 5 across the 5 of their papers we have counts for
6 papers
UNMATCH: Selective Unbalanced Token-Patch Matching for Forensic Image-Claim Verification
Xinjin Li, Lian Lian, Yuanzhe Yang +6
Contextual image misuse pairs an image with a misleading claim. We study image-claim correspondence in fact-checked pairs containing out-of-context reuse, visual manipulation, or b…
GRACE: Grounded Reasoning via Adapter Composition and Evidence-Aware Calibration for Educational Visual Question Answering
Xinjin Li, Yudi Xia, Xi Zhao +8
Educational visual question answering, or VQA, requires models to solve curriculum-oriented multiple-choice questions using both language and visual evidence. Compared with convent…
FAST: A Synergistic Framework of Attention and State-space Models for Spatiotemporal Traffic Prediction
Xinjin Li, Jinghan Cao, Mengyue Wang +5
Traffic forecasting requires modeling complex temporal dynamics and long-range spatial dependencies over large sensor networks. Existing methods typically face a trade-off between…
CATCH: A Modular Cross-domain Adaptive Template with Hook
Xinjin Li, Yulie Lu, Jinghan Cao +3
Recent advances in Visual Question Answering (VQA) have demonstrated impressive performance in natural image domains, with models like LLaVA leveraging large language models (LLMs)…
Hy-Facial: Hybrid Feature Extraction by Dimensionality Reduction Methods for Enhanced Facial Expression Classification
Xinjin Li, Yu Ma, Kaisen Ye +3
Facial expression classification remains a challenging task due to the high dimensionality and inherent complexity of facial image data. This paper presents Hy-Facial, a hybrid fea…
Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology
Jingyu Zhang, Jin Cao, Jinghao Chang +3
This research aims to explore the application of deep learning in autonomous driving computer vision technology and its impact on improving system performance. By using advanced te…