7 citations · 14 across the 6 of their papers we have counts for
4 papers · 1 filter
PathInsight: Instruction Tuning of Multimodal Datasets and Models for Intelligence Assisted Diagnosis in Histopathology
Xiaomin Wu, Rui Xu, Pengchen Wei +4
Pathological diagnosis remains the definitive standard for identifying tumors. The rise of multimodal large models has simplified the process of integrating image analysis with tex…
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training
Rui Xu, Wenkang Qin, Peixiang Huang +2
Deep Neural Networks (DNNs) are expected to provide explanation for users to understand their black-box predictions. Saliency map is a common form of explanation illustrating the h…
Improving Vision-and-Language Reasoning via Spatial Relations Modeling
Cheng Yang, Rui Xu, Ye Guo +5
Visual commonsense reasoning (VCR) is a challenging multi-modal task, which requires high-level cognition and commonsense reasoning ability about the real world. In recent years, l…
What a Whole Slide Image Can Tell? Subtype-guided Masked Transformer for Pathological Image Captioning
Wenkang Qin, Rui Xu, Peixiang Huang +3
Pathological captioning of Whole Slide Images (WSIs), though is essential in computer-aided pathological diagnosis, has rarely been studied due to the limitations in datasets and m…