IEEE

Mixed-Modality Clustering via Generative Graph Structure Matching

Abstract: The goal of mixed-modality clustering, which differs from typical multi-modality/view clustering, is to divide samples derived from various modalities into several clusters. This task has to ...
IEEE

Enhanced Invariant Feature Joint Learning via Modality-Invariant Neighbor Relations for Cross-Modality Person Re-Identification

Abstract: Cross-modality visible-Infrared person re-identification (cm-ReID) is extremely challenging due to the huge modality discrepancy between RGB and IR modalities. Existing methods focus on the ...
GitHub

Code for Cross-Modality and Within-Modality Regularization for Audio-Visual DeepFake Detection. (

Python=3.8, Pytorch=1.13, pytorch_lightning==1.7.7, CUDA=11.6 -- dataset (FakeAVCeleb) -- model: avhubert (download from https://github.com/facebookresearch/av_hubert ...
GitHub

Official implementation for “MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion.”

[2023-4] Codes and config files are public available. Multi-modality image fusion (MMIF) aims to integrate complementary information from different modalities into a single fused image to represent ...
LinkedIn

Baurzhan I.’s Post

DICOM Modality Worklist is one of the most practical workflows in radiology integration. Its purpose is simple: Get the correct patient and scheduled procedure from the information system to the ...