5 papers
UniCA: Unified Covariate Adaptation for Time Series Foundation Model
Lu Han, Yu Liu, Lan Li +9
Time Series Foundation Models (TSFMs) have achieved remarkable success through large-scale pretraining. However, their design primarily targets real-valued series, limiting their a…
Supervise-assisted Multi-modality Fusion Diffusion Model for PET Restoration
Yingkai Zhang, Shuang Chen, Ye Tian +3
Positron emission tomography (PET) offers powerful functional imaging but involves radiation exposure. Efforts to reduce this exposure by lowering the radiotracer dose or scan time…
Searth Transformer: A Transformer Architecture Incorporating Earth's Geospheric Physical Priors for Global Mid-Range Weather Forecasting
Tianye Li, Qi Liu, Hao Li +15
Accurate global medium-range weather forecasting is fundamental to Earth system science. Most existing Transformer-based forecasting models adopt vision-centric architectures that…
Moving object detection from multi-depth images with an attention-enhanced CNN
Masato Shibukawa, Fumi Yoshida, Toshifumi Yanagisawa +12
One of the greatest challenges for detecting moving objects in the solar system from wide-field survey data is determining whether a signal indicates a true object or is due to som…
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation
Hongming Wang, Yifeng Wu, Huimin Huang +8
The segmentation of substantial brain lesions is a significant and challenging task in the field of medical image segmentation. Substantial brain lesions in brain imaging exhibit h…