196 citations · 290 across the 15 of their papers we have counts for
15 papers
Deepfake Generation and Detection: A Benchmark and Survey
Gan Pei, Jiangning Zhang, Menghan Hu +6
Deepfake is a technology dedicated to creating highly realistic facial images and videos under specific conditions, which has significant application potential in fields such as en…
Few-Shot Class-Incremental Learning with Prior Knowledge
Wenhao Jiang, Duo Li, Menghan Hu +3
To tackle the issues of catastrophic forgetting and overfitting in few-shot class-incremental learning (FSCIL), previous work has primarily concentrated on preserving the memory of…
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning
Kuo Yang, Duo Li, Menghan Hu +3
For semi-supervised learning with imbalance classes, the long-tailed distribution of data will increase the model prediction bias toward dominant classes, undermining performance o…
TransMRSR: Transformer-based Self-Distilled Generative Prior for Brain MRI Super-Resolution
Shan Huang, Xiaohong Liu, Tao Tan +4
Magnetic resonance images (MRI) acquired with low through-plane resolution compromise time and cost. The poor resolution in one orientation is insufficient to meet the requirement…
Cough Detection Using Selected Informative Features from Audio Signals
Xinru Chen, Menghan Hu, Guangtao Zhai
Cough is a common symptom of respiratory and lung diseases. Cough detection is important to prevent, assess and control epidemic, such as COVID-19. This paper proposes a model to d…
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…
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…
Face Mask Assistant: Detection of Face Mask Service Stage Based on Mobile Phone
Yuzhen Chen, Menghan Hu, Chunjun Hua +4
Coronavirus Disease 2019 (COVID-19) has spread all over the world since it broke out massively in December 2019, which has caused a large loss to the whole world. Both the confirme…
Combining Visible Light and Infrared Imaging for Efficient Detection of Respiratory Infections such as COVID-19 on Portable Device
Zheng Jiang, Menghan Hu, Lei Fan +4
Coronavirus Disease 2019 (COVID-19) has become a serious global epidemic in the past few months and caused huge loss to human society worldwide. For such a large-scale epidemic, ea…
Portable Health Screening Device of Respiratory Infections
Zheng Jiang, Menghan Hu, Guangtao Zhai
The COVID-19 epidemic was listed as a public health emergency of international concern by the WHO on January 30, 2020. To curb the secondary spread of the epidemic, many public pla…
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…
Robust Invisible Hyperlinks in Physical Photographs Based on 3D Rendering Attacks
Jun Jia, Zhongpai Gao, Kang Chen +4
In the era of multimedia and Internet, people are eager to obtain information from offline to online. Quick Response (QR) codes and digital watermarks help us access information qu…
Terahertz Security Image Quality Assessment by No-reference Model Observers
Menghan Hu, Xiongkuo Min, Guangtao Zhai +5
To provide the possibility of developing objective image quality assessment (IQA) algorithms for THz security images, we constructed the THz security image database (THSID) includi…