Cover Image

Robust 3D Point Clouds Classification based on Declarative Defenders

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Kaidong, Zhang, Tianxiao, Zhong, Cuncong, Zhang, Ziming, Wang, Guanghui
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector
by: Li, Kaidong, et al.
Published: (2025)

Equivariant Flow Matching for Point Cloud Assembly
by: Wang, Ziming, et al.
Published: (2025)

Point2Graph: An End-to-end Point Cloud-based 3D Open-Vocabulary Scene Graph for Robot Navigation
by: Xu, Yifan, et al.
Published: (2024)

Rethinking Gradient-based Adversarial Attacks on Point Cloud Classification
by: Chen, Jun, et al.
Published: (2025)

A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields
by: Rahman, Raiyan, et al.
Published: (2024)

M3DLayout: A Multi-Source Dataset of 3D Indoor Layouts and Structured Descriptions for 3D Generation
by: Zhang, Yiheng, et al.
Published: (2025)

Multimodal Robust Prompt Distillation for 3D Point Cloud Models
by: Gu, Xiang, et al.
Published: (2025)

Masked Generative Extractor for Synergistic Representation and 3D Generation of Point Clouds
by: Zeng, Hongliang, et al.
Published: (2024)

PointGS: Semantic-Consistent Unsupervised 3D Point Cloud Segmentation with 3D Gaussian Splatting
by: Song, Yixiao, et al.
Published: (2026)

APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction
by: Sharifipour, Sasan, et al.
Published: (2025)

Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions
by: Li, Chongshou, et al.
Published: (2024)

UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting
by: Wang, Ziyi, et al.
Published: (2025)

Hyperbolic Contrastive Learning for Hierarchical 3D Point Cloud Embedding
by: Liu, Yingjie, et al.
Published: (2025)

Points-to-3D: Structure-Aware 3D Generation with Point Cloud Priors
by: Xia, Jiatong, et al.
Published: (2026)

PCTreeS: 3D Point Cloud Tree Species Classification Using Airborne LiDAR Images
by: Lin, Hongjin, et al.
Published: (2024)

3D Single-object Tracking in Point Clouds with High Temporal Variation
by: Wu, Qiao, et al.
Published: (2024)

Learning Hierarchical Orthogonal Prototypes for Generalized Few-Shot 3D Point Cloud Segmentation
by: Zhao, Yifei, et al.
Published: (2026)

Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning
by: Zhang, Yabin, et al.
Published: (2022)

Point-SAM: Promptable 3D Segmentation Model for Point Clouds
by: Zhou, Yuchen, et al.
Published: (2024)

RDSplat: Robust Watermarking for 3D Gaussian Splatting Against 2D and 3D Diffusion Editing
by: Zhao, Longjie, et al.
Published: (2025)

Representation Learning of Point Cloud Upsampling in Global and Local Inputs
by: Zhang, Tongxu, et al.
Published: (2025)

Learning Coordinate-based Convolutional Kernels for Continuous SE(3) Equivariant and Efficient Point Cloud Analysis
by: Kim, Jaein, et al.
Published: (2026)

Not-So-Optimal Transport Flows for 3D Point Cloud Generation
by: Hui, Ka-Hei, et al.
Published: (2025)

Joint Optimization of Storage and Loading for High-Performance 3D Point Cloud Data Processing
by: Wang, Ke, et al.
Published: (2026)

Point Cloud Self-supervised Learning via 3D to Multi-view Masked Learner
by: Chen, Zhimin, et al.
Published: (2023)

TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds
by: Lo, Yui, et al.
Published: (2024)

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion
by: Tian, Jiayi, et al.
Published: (2026)

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet
by: Saeid, Mohammad, et al.
Published: (2025)

Voxel-based Point Cloud Geometry Compression with Space-to-Channel Context
by: Liu, Bojun, et al.
Published: (2025)

OE3DIS: Open-Ended 3D Point Cloud Instance Segmentation
by: Nguyen, Phuc D. A., et al.
Published: (2024)

Weakly Supervised Point Clouds Transformer for 3D Object Detection
by: Tang, Zuojin, et al.
Published: (2023)

SIM-Net: A Multimodal Fusion Network Using Inferred 3D Object Shape Point Clouds from RGB Images for 2D Classification
by: Sklab, Youcef, et al.
Published: (2025)

RemedyGS: Defend 3D Gaussian Splatting against Computation Cost Attacks
by: Li, Yanping, et al.
Published: (2025)

3D Geometric Shape Assembly via Efficient Point Cloud Matching
by: Lee, Nahyuk, et al.
Published: (2024)

Computation-Efficient and Recognition-Friendly 3D Point Cloud Privacy Protection
by: Ma, Haotian, et al.
Published: (2025)

Position-aware Guided Point Cloud Completion with CLIP Model
by: Zhou, Feng, et al.
Published: (2024)

On the Adversarial Robustness of Camera-based 3D Object Detection
by: Xie, Shaoyuan, et al.
Published: (2023)

Iterative Feedback Network for Unsupervised Point Cloud Registration
by: Xie, Yifan, et al.
Published: (2024)

The Point, the Vision and the Text: Does Point Cloud Boost Spatial Reasoning of Large Language Models? A Bias-Controlled Study
by: Zhang, Weichen, et al.
Published: (2025)

Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks
by: Wang, Han, et al.
Published: (2024)