IEEE

Deep Learning-Based Point Cloud Compression: An In-Depth Survey and Benchmark

Abstract: With the maturity of 3D capture technology, the explosive growth of point cloud data has burdened the storage and transmission process. Traditional hybrid point cloud compression (PCC) tools ...
IEEE

Revolutionizing Point Cloud Classification with Multiview Self-Supervised Learning

Abstract: Self-supervised models are shaping the future of point cloud processing by minimizing reliance on labeled data and addressing the challenges associated with point cloud annotation.
IEEE

Deep Learning Deployment on Big Data Infrastructure Using Apache Spark (Case Study: COVID-19 Detection Using X-Ray Images)

Abstract: It is possible to use GPU (Graphic Processing Unit) to increase deep learning performance. This requires us to invest in separate GPUs, which can be relatively expensive. However, if we ...
IEEE

CrossMoCo: Multi-Modal Momentum Contrastive Learning for Point Cloud

Abstract: The point cloud is a 3D geometric data that lacks a specific structure and is permutation-invariant. The applications of point clouds have gained significant attention recently in the field ...
IEEE

Point Patches Contrastive Learning for Enhanced Point Cloud Completion

Abstract: In partial-to-complete point cloud completion, it is imperative that enabling every patch in the output point cloud faithfully represents the corresponding patch in partial input, ensuring ...
IEEE

Self-Supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration

Abstract: This paper introduces a novel self-supervised learning framework for enhancing 3D perception in autonomous driving scenes. Specifically, our approach, namely NCLR, focuses on 2D-3D neural ...
IEEE

End-to-End Learning to Grasp via Sampling From Object Point Clouds

Abstract: The ability to grasp objects is an essential skill that enables many robotic manipulation tasks. Recent works have studied point cloud-based methods for object grasping by starting from ...
IEEE

Cross-Domain Incremental Feature Learning for ALS Point Cloud Semantic Segmentation With Few Samples

Abstract: Feature learning of airborne laser scanning (ALS) point clouds is challenged by both the limited annotated samples and imbalanced class distribution. An intuitive way involves pretraining on ...
IEEE

Point-UMAE: Unet-like Masked Autoencoders for Point Cloud Self-supervised Learning

Abstract: Masked Autoencoders (MAE) demonstrated exceptional performance in natural language processing and 2D vision tasks and have now been introduced into point cloud representation learning. We ...
IEEE

IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images

Abstract: Generalizable 3D object reconstructionfrom single-view RGB-D images remains a challenging task, particularly with real-world data. Current state-of-the-art methods develop Transformer-based ...
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Minecraft 1.20+ Auto Cow Farm Tutorial (Java & Bedrock)

This tutorial shows how to build an automatic cow farm in Minecraft 1.20 and later, compatible with both Java and Bedrock Edition. Designed for survival mode, the build produces cooked beef and ...