5 citations · 6 across the 9 of their papers we have counts for
4 papers · 1 filter
What Breaks in Multi-Image Schema Application? Factorial Oracle Interventions Reveal an Instance-Information Bottleneck
Yiliu Xu, Xinjin Li, Yu Ma
Modern vision-language models can accept multi-image contexts, but aggregate accuracy rarely reveals where a multi-image reasoning pipeline fails. We study a controlled schema-appl…
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…