196 citations · 481 across the 13 of their papers we have counts for
13 papers
Angel's Girl for Blind Painters: an Efficient Painting Navigation System Validated by Multimodal Evaluation Approach
Hang Liu, Menghan Hu, Yuzhen Chen +5
For people who ardently love painting but unfortunately have visual impairments, holding a paintbrush to create a work is a very difficult task. People in this special group are ea…
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…
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…
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…
Claw U-Net: A Unet-based Network with Deep Feature Concatenation for Scleral Blood Vessel Segmentation
Chang Yao, Jingyu Tang, Menghan Hu +4
Sturge-Weber syndrome (SWS) is a vascular malformation disease, and it may cause blindness if the patient's condition is severe. Clinical results show that SWS can be divided into…
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…
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…
Re-synchronization using the Hand Preceding Model for Multi-modal Fusion in Automatic Continuous Cued Speech Recognition
Li Liu, Gang Feng, Denis Beautemps +1
Cued Speech (CS) is an augmented lip reading complemented by hand coding, and it is very helpful to the deaf people. Automatic CS recognition can help communications between the de…
Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner
Yunlu Wang, Menghan Hu, Qingli Li +3
Research significance: The extended version of this paper has been accepted by IEEE Internet of Things journal (DOI: 10.1109/JIOT.2020.2991456), please cite the journal version. Du…
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…
On the Shift Operator, Graph Frequency and Optimal Filtering in Graph Signal Processing
Adnan Gavili, Xiao-Ping Zhang
Defining a sound shift operator for signals existing on a certain graph structure, similar to the well-defined shift operator in classical signal processing, is a crucial problem i…
Performance Limits and Geometric Properties of Array Localization
Yanjun Han, Yuan Shen, Xiao-Ping Zhang +2
Location-aware networks are of great importance and interest in both civil and military applications. This paper determines the localization accuracy of an agent, which is equipped…
Noise Invalidation Denoising
Soosan Beheshti, Masoud Hashemi, Xiao-Ping Zhang +1
A denoising technique based on noise invalidation is proposed. The adaptive approach derives a noise signature from the noise order statistics and utilizes the signature to denoise…