71 citations · 119 across the 8 of their papers we have counts for
5 papers · 1 filter
Multi-Loss Convolutional Network with Time-Frequency Attention for Speech Enhancement
Liang Wan, Hongqing Liu, Yi Zhou +1
The Dual-Path Convolution Recurrent Network (DPCRN) was proposed to effectively exploit time-frequency domain information. By combining the DPRNN module with Convolution Recurrent…
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation
Zhaohu Xing, Lei Zhu, Lequan Yu +2
Masked image modeling (MIM) with transformer backbones has recently been exploited as a powerful self-supervised pre-training technique. The existing MIM methods adopt the strategy…
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation
Zhaohu Xing, Liang Wan, Huazhu Fu +2
In recent years, Denoising Diffusion Models have demonstrated remarkable success in generating semantically valuable pixel-wise representations for image generative modeling. In th…
Learning Physical-Spatio-Temporal Features for Video Shadow Removal
Zhihao Chen, Liang Wan, Yefan Xiao +2
Shadow removal in a single image has received increasing attention in recent years. However, removing shadows over dynamic scenes remains largely under-explored. In this paper, we…
Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment
Zhihao Chen, Yang Zhou, Anh Tran +8
Medical phrase grounding (MPG) aims to locate the most relevant region in a medical image, given a phrase query describing certain medical findings, which is an important task for…