3 papers
cs.CV2026
Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models
Runsen Xu, Weiyao Wang, Hao Tang +5
Multi-modal large language models (MLLMs) have rapidly advanced in visual tasks, yet their spatial understanding remains limited to single images, leaving them ill-suited for physi…
cs.LG2025
SiamMM: A Mixture Model Perspective on Deep Unsupervised Learning
Xiaodong Wang, Jing Huang, Kevin J Liang
Recent studies have demonstrated the effectiveness of clustering-based approaches for self-supervised and unsupervised learning. However, the application of clustering is often heu…
math.NA2025
User Manual for Model-based Imaging Inverse Problem
Xiaodong Wang
This user manual is intended to provide a detailed description on model-based optimization for imaging inverse problem. Theseproblems can be particularly complex and challenging, e…