activity
20102021
most citedAbnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner

196 citations · 481 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2021★ 10 cited

TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation

Yao Chang, Hu Menghan, Zhai Guangtao +1

In recent years, computer-aided diagnosis has become an increasingly popular topic. Methods based on convolutional neural networks have achieved good performance in medical image s…

cs.CV2021★ 2 cited

Direction-aware Feature-level Frequency Decomposition for Single Image Deraining

Sen Deng, Yidan Feng, Mingqiang Wei +5

We present a novel direction-aware feature-level frequency decomposition network for single image deraining. Compared with existing solutions, the proposed network has three compel…

cs.CV2020

Identification of deep breath while moving forward based on multiple body regions and graph signal analysis

Yunlu Wang, Cheng Yang, Menghan Hu +4

This paper presents an unobtrusive solution that can automatically identify deep breath when a person is walking past the global depth camera. Existing non-contact breath assessmen…

cs.CV2020★ 100 cited

Change Detection in Heterogeneous Optical and SAR Remote Sensing Images via Deep Homogeneous Feature Fusion

Xiao Jiang, Gang Li, Yu Liu +2

Change detection in heterogeneous remote sensing images is crucial for disaster damage assessment. Recent methods use homogenous transformation, which transforms the heterogeneous…

cs.CV2020★ 4 cited

Dynamic Spatiotemporal Graph Neural Network with Tensor Network

Chengcheng Jia, Bo Wu, Xiao-Ping Zhang

Dynamic spatial graph construction is a challenge in graph neural network (GNN) for time series data problems. Although some adaptive graphs are conceivable, only a 2D graph is emb…

cs.CV2019

Point cloud denoising based on tensor Tucker decomposition

Jianze Li, Xiao-Ping Zhang, Tuan Tran

In this paper, we propose a new algorithm for point cloud denoising based on the tensor Tucker decomposition. We first represent the local surface patches of a noisy point cloud to…