IEEE

PointNorm-Net: Self-Supervised Normal Prediction of 3D Point Clouds via Multi-Modal Distribution Estimation

Abstract: Although supervised deep normal estimators have recently shown impressive results on synthetic benchmarks, their performance deteriorates significantly in real-world scenarios due to the ...
IEEE

P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching

Abstract: Accurately describing and detecting 2D and 3D key-points is crucial to establishing correspondences across images and point clouds. Despite a plethora of learning-based 2D or 3D local ...
IEEE

Pattern-Recognition-Based Dual-Point Fiber Temperature Sensor Using a Reliable Synthetic Database

Abstract: We propose to use the nonlinearity in wavelength sweeping of a distributed feedback (DFB) diode laser to generate a reliable synthetic database implemented in a pattern recognition-based ...
IEEE

MPT-Net: Mask Point Transformer Network for Large Scale Point Cloud Semantic Segmentation

Abstract: Point cloud semantic segmentation is important for road scene perception, a task for driverless vehicles to achieve full fledged autonomy. In this work, we introduce Mask Point Transformer ...
GitHub

Clean Architecture Solution For Razor Pages .net 9.0

This is a solution template for creating a Razor Page App with ASP.NET Core following the principles of Clean Architecture. Create a new project based on this template by clicking the above Use this ...
IEEE

GRAB-Net: Graph-Based Boundary-Aware Network for Medical Point Cloud Segmentation

Abstract: Point cloud segmentation is fundamental in many medical applications, such as aneurysm clipping and orthodontic planning. Recent methods mainly focus on designing powerful local feature ...
IEEE

DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis

Abstract: Due to the irregular and disordered data structure in 3D point clouds, prior works have focused on designing more sophisticated local representation methods to capture these complex local ...
IEEE

Norest-Net: Normal Estimation Neural Network for 3-D Noisy Point Clouds

Abstract: The widely deployed ways to capture a set of unorganized points, e.g., merged laser scans, fusion of depth images, and structure-from-$x$ , usually yield a ...
IEEE

LiDAR-Net: A Real-Scanned 3D Point Cloud Dataset for Indoor Scenes

Abstract: In this paper, we present LiDAR-Net, a new real-scanned indoor point cloud dataset, containing nearly 3.6 billion precisely point-level annotated points, covering an expansive area of ...
IEEE

PCHM-Net: A New Point Cloud Compression Framework for Both Human Vision and Machine Vision

Abstract: Recently, point cloud data has attracted increasing attention in various machine vision tasks like classification and detection. However, directly transmitting the raw point cloud for such ...
IEEE

UFC-Net: Unrolling Fixed-point Continuous Network for Deep Compressive Sensing

Abstract: Deep unfolding networks (DUNs), renowned for their in-terpretability and superior performance, have invigorated the realm of compressive sensing (CS). Nonetheless, existing DUNs frequently ...