Copertina

Point-GR: Graph Residual Point Cloud Network for 3D Object Classification and Segmentation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Meraz, Md, Ansari, Md Afzal, Javed, Mohammed, Chakraborty, Pavan
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Image and Video Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Instance Segmentation of Reinforced Concrete Bridges with Synthetic Point Clouds
di: Rahman, Asad Ur, et al.
Pubblicazione: (2024)

Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds
di: Zhang, Hanwei, et al.
Pubblicazione: (2024)

Compression of Large-Scale 3D Point Clouds Based on Joint Optimization of Point Sampling and Feature Extraction
di: Yim, Jae-Young, et al.
Pubblicazione: (2024)

Fourier Decomposition for Explicit Representation of 3D Point Cloud Attributes
di: Kim, Donghyun, et al.
Pubblicazione: (2025)

Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement
di: Xu, Hao, et al.
Pubblicazione: (2024)

Residual Learning and Filtering Networks for End-to-End Lossless Video Compression
di: Islam, Md baharul, et al.
Pubblicazione: (2025)

PointCompress3D: A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems
di: Zimmer, Walter, et al.
Pubblicazione: (2024)

Rate-distortion Optimized Point Cloud Preprocessing for Geometry-based Point Cloud Compression
di: Ma, Wanhao, et al.
Pubblicazione: (2025)

MFP3D: Monocular Food Portion Estimation Leveraging 3D Point Clouds
di: Ma, Jinge, et al.
Pubblicazione: (2024)

Empir3D : A Framework for Multi-Dimensional Point Cloud Assessment
di: Turkar, Yash, et al.
Pubblicazione: (2023)

Perceptual Quality Assessment of Trisoup-Lifting Encoded 3D Point Clouds
di: Long, Juncheng, et al.
Pubblicazione: (2024)

Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
di: Lou, Tianrui, et al.
Pubblicazione: (2024)

RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds
di: You, Kang, et al.
Pubblicazione: (2025)

Perception-Guided Quality Metric of 3D Point Clouds Using Hybrid Strategy
di: Zhang, Yujie, et al.
Pubblicazione: (2024)

Low Complexity Point Tracking of the Myocardium in 2D Echocardiography
di: Chernyshov, Artem, et al.
Pubblicazione: (2025)

Accelerating Point Cloud Ground Segmentation: From Mechanical to Solid-State Lidars
di: Zhang, Xiao, et al.
Pubblicazione: (2024)

No-Reference Point Cloud Quality Assessment via Graph Convolutional Network
di: Chen, Wu, et al.
Pubblicazione: (2024)

PIVOT-Net: Heterogeneous Point-Voxel-Tree-based Framework for Point Cloud Compression
di: Pang, Jiahao, et al.
Pubblicazione: (2024)

Scalable Human-Machine Point Cloud Compression
di: Ulhaq, Mateen, et al.
Pubblicazione: (2024)

Point Cloud-Assisted Neural Image Compression
di: Li, Ziqun, et al.
Pubblicazione: (2024)

EPSegFZ: Efficient Point Cloud Semantic Segmentation for Few- and Zero-Shot Scenarios with Language Guidance
di: Wang, Jiahui, et al.
Pubblicazione: (2025)

Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment
di: Sanjid, Kazi Shahriar, et al.
Pubblicazione: (2024)

Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion
di: Sanjid, Kazi Shahriar, et al.
Pubblicazione: (2024)

3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods
di: Beemelmanns, Till, et al.
Pubblicazione: (2024)

Sparse Point Clouds Assisted Learned Image Compression
di: Jiang, Yiheng, et al.
Pubblicazione: (2024)

Stochasticity-aware No-Reference Point Cloud Quality Assessment
di: Fan, Songlin, et al.
Pubblicazione: (2024)

Point Cloud Compression via Constrained Optimal Transport
di: Li, Zezeng, et al.
Pubblicazione: (2024)

PVContext: Hybrid Context Model for Point Cloud Compression
di: Zhang, Guoqing, et al.
Pubblicazione: (2024)

Exploiting Topological Priors for Boosting Point Cloud Generation
di: Chen, Baiyuan
Pubblicazione: (2024)

DG-PPU: Dynamical Graphs based Post-processing of Point Clouds extracted from Knee Ultrasounds
di: Hwang, Injune, et al.
Pubblicazione: (2024)

Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation
di: Schmidt, Tanner, et al.
Pubblicazione: (2025)

Lightweight Residual Network for The Classification of Thyroid Nodules
di: Nikhila, Ponugoti, et al.
Pubblicazione: (2019)

Hybrid CNN Bi-LSTM neural network for Hyperspectral image classification
di: Sahoo, Alok Ranjan, et al.
Pubblicazione: (2024)

Point Cloud Compression and Objective Quality Assessment: A Survey
di: Xu, Yiling, et al.
Pubblicazione: (2025)

SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds
di: Chen, Chuang, et al.
Pubblicazione: (2025)

SCP: Spherical-Coordinate-based Learned Point Cloud Compression
di: Luo, Ao, et al.
Pubblicazione: (2023)

UCloudNet: A Residual U-Net with Deep Supervision for Cloud Image Segmentation
di: Li, Yijie, et al.
Pubblicazione: (2025)

Teleoperated Driving: a New Challenge for 3D Object Detection in Compressed Point Clouds
di: Bragato, Filippo, et al.
Pubblicazione: (2025)

Color Enhancement for V-PCC Compressed Point Cloud via 2D Attribute Map Optimization
di: Bao, Jingwei, et al.
Pubblicazione: (2024)

DSVTLA: Deep Swin Vision Transformer-Based Transfer Learning Architecture for Multi-Type Cancer Histopathological Cancer Image Classification
di: Khan, Muazzem Hussain, et al.
Pubblicazione: (2026)