2 citations · 2 across the 4 of their papers we have counts for
4 papers
RASLF: Representation-Aware State Space Model for Light Field Super-Resolution
Zeqiang Wei, Kai Jin, Kuan Song +3
Current SSM-based light field super-resolution (LFSR) methods often fail to fully leverage the complementarity among various LF representations, leading to the loss of fine texture…
Semantically Informed Salient Regions Guided Radiology Report Generation
Zeyi Hou, Zeqiang Wei, Ruixin Yan +2
Recent advances in automated radiology report generation from chest X-rays using deep learning algorithms have the potential to significantly reduce the arduous workload of radiolo…
FMamba: Lightweight Light Field Image Super-Resolution with State Space Model
Zeqiang Wei, Kai Jin, Zeyi Hou +2
Transformers bring significantly improved performance to the light field image super-resolution task due to their long-range dependency modeling capability. However, the inherently…
Masked Contrastive Reconstruction for Cross-modal Medical Image-Report Retrieval
Zeqiang Wei, Kai Jin, Xiuzhuang Zhou
Cross-modal medical image-report retrieval task plays a significant role in clinical diagnosis and various medical generative tasks. Eliminating heterogeneity between different mod…