activity
20192021
most citedChange Detection in Heterogeneous Optical and SAR Remote Sensing Images via Deep Homogeneous Feature Fusion

100 citations · 112 across the 6 of their papers we have counts for

collaborators

10 papers

cs.MM2021

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…

cs.CV202110 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.CV20212 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…

eess.IV2020

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…

cs.CV2020100 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…