GitHub

Clean Architecture Solution Template

The goal of this template is to provide a straightforward and efficient approach to enterprise application development, leveraging the power of Clean Architecture and ASP.NET Core. Using this template ...
IEEE

BFP-CIM: Data-Free Quantization with Dynamic Block-Floating-Point Arithmetic for Energy-Efficient Computing-In-Memory-based Accelerator

Abstract: Convolutional neural networks (CNNs) are known for their exceptional performance in various applications; however, their energy consumption during inference can be substantial. Analog ...
IEEE

GGM-Net: Graph Geometric Moments Convolution Neural Network for Point Cloud Shape Classification

Abstract: Geometric feature acts as an important role in point cloud shape classification tasks. Previous methods have proved that the geometric information of point clouds effectively improves the ...
IEEE

IEEE Communications Surveys and Tutorials

Abstract: I welcome you to the fourth issue of the IEEE Communications Surveys and Tutorials in 2021. This issue includes 23 papers covering different aspects of communication networks. In particular, ...
IEEE

Adaptive Multi-task Elastic Net based feature selection from Pharmacogenomics Databases

Abstract: Integrating multiple databases of similar tasks is a significant problem in biological data analysis. In this paper, we consider whether feature selection in a single database can benefit ...
IEEE

RID-Net: A Hybrid MLP-Transformer Network for Robust Point Cloud Registration

Abstract: The robustness of correspondence-based point cloud registration relies on transformation invariance and intrinsic distinctiveness of the descriptors computed for registration. However, for ...
IEEE

LCE-NET: Contour Extraction for Large-Scale 3-D Point Clouds

Abstract: The contours, one of the most significant human perceptual features, have a significant impact on point cloud processing. In urban scenes, contour extraction is quite challenging due to the ...
IEEE

DF-Net: Dynamic and Folding Network for 3D Point Cloud Completion

Abstract: The development of 3D sensors encourages researchers to process point cloud data directly. Point cloud data requires less memory but conveys more detailed 3D shape information. However, ...
IEEE

PQA-Net: Deep No Reference Point Cloud Quality Assessment via Multi-View Projection

Abstract: Recently, 3D point cloud is becoming popular due to its capability to represent the real world for advanced content modality in modern communication systems. In view of its wide applications ...
IEEE

MFE-Net: A Multi-Layer Feature Extraction Network for No-Reference Quality Assessment of 3-D Point Clouds

Abstract: As an important data form, the point cloud (PC) can present real-world objects in a 3D and realistic way. In order to measure the performance of acquisition, processing, and compression ...
GitHub

LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis

Point cloud based Place Recognition is still an open issue due to the difficulty in extracting local features from the raw 3D point cloud and generating the global descriptor,and it’s even harder in ...
GitHub

Data validation toolkit for assessing and monitoring data quality.

Pointblank takes a different approach to data quality. It doesn't have to be a tedious technical task. Rather, it can become a process focused on clear communication between team members. While other ...