IEEE

Multi-Modal Electrophysiological Source Imaging With Attention Neural Networks Based on Deep Fusion of EEG and MEG

Abstract: The process of reconstructing underlying cortical and subcortical electrical activities from Electroencephalography (EEG) or Magnetoencephalography (MEG) recordings is called ...
GitHub

This is official Pytorch implementation of DRMF: Degradation-Robust Multi-Modal Image Fusion via Composable Diffusion Prior (ACM MM 2024).

@inproceedings{Tang2024DRMF, title={DRMF: Degradation-Robust Multi-Modal Image Fusion via Composable Diffusion Prior}, author={Tang, Linfeng and Deng, Yuxin and Yi, Xunpeng and Yan, Qinglong and Yuan, ...
IEEE

FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients

Abstract: With the rapid development of imaging sensor technology in the field of remote sensing, multi-modal remote sensing data fusion has emerged as a crucial research direction for land cover ...
The Caledonian-Record

David Ivan named president, CEO of BNSF Logistics

BNSF Logistics, LLC, a leading multi-modal third-party logistics service provider, today announced David Ivan has been named ...
GitHub

ML-Mamba: Efficient Multi-Modal Large Language Model Utilizing Mamba-2

Multimodal Large Language Models (MLLMs) have attracted much attention for their multifunctionality. However, traditional Transformer architectures incur significant overhead due to their secondary ...