4 papers
Learn Before You Judge: Progressive Knowledge-to-Decision Alignment for Explainable Hateful Meme Detection
Bo Xu, Chenyuan Wang, Xinyu Chen +5
Hateful memes spread abusive content through implicit interactions between images and text, posing serious threats to the safety of online communities. In recent years, multimodal…
UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation
Bo Xu, Quanhao Zhu, Rui Lin +5
Ultrasound imaging has become increasingly widespread in clinical practice due to its portability, low cost and real-time capability, making ultrasound image segmentation important…
Dual-Learning based Penalized Multi-Align Clustering for Multi-View Incomplete and Disorderly Data
Liang Zhao, Shubin Ma, Bo Xu +1
Multimodal feature fusion can effectively capture complex patterns in real-world data by integrating complementary information from different modalities. However, in many applicati…
Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Search
Shubin Ma, Liang Zhao, Mingdong Lu +2
Multimodal representation is faithful and highly effective in describing real-world data samples' characteristics by describing their complementary information. However, the collec…