Aihua Mao
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View article: DMF-Net: Image-Guided Point Cloud Completion with Dual-Channel Modality Fusion and Shape-Aware Upsampling Transformer
DMF-Net: Image-Guided Point Cloud Completion with Dual-Channel Modality Fusion and Shape-Aware Upsampling Transformer Open
In this paper we study the task of a single-view image-guided point cloud completion. Existing methods have got promising results by fusing the information of image into point cloud explicitly or implicitly. However, given that the image h…
View article: DMF-Net: Image-Guided Point Cloud Completion with Dual-Channel Modality Fusion and Shape-Aware Upsampling Transformer
DMF-Net: Image-Guided Point Cloud Completion with Dual-Channel Modality Fusion and Shape-Aware Upsampling Transformer Open
In this paper we study the task of a single-view image-guided point cloud completion. Existing methods have got promising results by fusing the information of image into point cloud explicitly or implicitly. However, given that the image h…
View article: Overcoming Language Priors in Visual Question Answering with Cumulative Learning Strategy
Overcoming Language Priors in Visual Question Answering with Cumulative Learning Strategy Open
View article: Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling
Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling Open
Point clouds obtained by LiDAR and other sensors are usually sparse and irregular. Low-quality point clouds have serious influence on the final performance of downstream tasks. Recently, a point cloud upsampling network with normalizing fl…
View article: Attention emotion recognition via ECG signals
Attention emotion recognition via ECG signals Open
Background Physiological signal‐based research has been a hot topic in affective computing. Previous works mainly focus on some strong, short‐lived emotions ( e.g. , joy, anger), while the attention, which is a weak and long‐lasting emotio…
View article: PU-Flow: a Point Cloud Upsampling Networkwith Normalizing Flows.
PU-Flow: a Point Cloud Upsampling Networkwith Normalizing Flows. Open
Point cloud upsampling aims to generate dense point clouds from given sparse ones, which is a challenging task due to the irregular and unordered nature of point sets. To address this issue, we present a novel deep learning-based model, ca…
View article: STD-Net: Structure-preserving and Topology-adaptive Deformation Network for 3D Reconstruction from a Single Image
STD-Net: Structure-preserving and Topology-adaptive Deformation Network for 3D Reconstruction from a Single Image Open
3D reconstruction from a single view image is a long-standing prob-lem in computer vision. Various methods based on different shape representations(such as point cloud or volumetric representations) have been proposed. However,the 3D shape…
View article: Sensor-Based Smart Clothing for Women’s Menopause Transition Monitoring
Sensor-Based Smart Clothing for Women’s Menopause Transition Monitoring Open
Aging women usually experience menopause and currently there is no single diagnosing highly-sensitive and -specific test for recognizing menopause. For most employed women at their perimenopause age it is not convenient to visit a clinic f…
View article: Highly Portable, Sensor-Based System for Human Fall Monitoring
Highly Portable, Sensor-Based System for Human Fall Monitoring Open
Falls are a very dangerous situation especially among elderly people, because they may lead to fractures, concussion, and other injuries. Without timely rescue, falls may even endanger their lives. The existing optical sensor-based fall mo…
View article: Easy and Fast Reconstruction of a 3D Avatar with an RGB-D Sensor
Easy and Fast Reconstruction of a 3D Avatar with an RGB-D Sensor Open
This paper proposes a new easy and fast 3D avatar reconstruction method using an RGB-D sensor. Users can easily implement human body scanning and modeling just with a personal computer and a single RGB-D sensor such as a Microsoft Kinect w…