{"total":21,"rows":[{"id":"2408.11567","title":"Positional Prompt Tuning for Efficient 3D Representation Learning","created":"2024-08-21","cited_by_count":15,"area":null},{"id":"2502.02558","title":"Particle Trajectory Representation Learning with Masked Point Modeling","created":"2025-02-04","cited_by_count":8,"area":null},{"id":"2509.01250","title":"Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views","created":"2025-09-01","cited_by_count":7,"area":null},{"id":"2506.09952","title":"UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting","created":"2025-06-11","cited_by_count":6,"area":null},{"id":"2511.12909","title":"CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection","created":"2025-11-17","cited_by_count":5,"area":null},{"id":"2508.08910","title":"Masked Clustering Prediction for Unsupervised Point Cloud Pre-training","created":"2025-08-12","cited_by_count":2,"area":null},{"id":"2411.17467","title":"Semantic-Free Procedural 3D Shapes Are Surprisingly Good Teachers","created":"2024-11-25","cited_by_count":1,"area":null},{"id":"2507.12602","title":"MS-DGCNN++: Multi-Scale Dynamic Graph Convolution with Scale-Dependent Normalization for Robust LiDAR Tree Species Classification","created":"2025-07-16","cited_by_count":1,"area":null},{"id":"2605.17566","title":"Rethinking Point Clouds as Sequences: A Causal Next-Token Predictive Learning Framework","created":"2026-05-17","cited_by_count":1,"area":null},{"id":"2507.04084","title":"Attention-Guided Multi-Scale Local Reconstruction for Point Clouds via Masked Autoencoder Self-Supervised Learning","created":"2025-07-05","cited_by_count":0,"area":null},{"id":"2507.04801","title":"PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling","created":"2025-07-07","cited_by_count":0,"area":null},{"id":"2507.18997","title":"UPP: Unified Point-Level Prompting for Robust Point Cloud Analysis","created":"2025-07-25","cited_by_count":0,"area":null},{"id":"2512.08673","title":"Dual-Branch Center-Surrounding Contrast: Rethinking Contrastive Learning for 3D Point Clouds","created":"2025-12-09","cited_by_count":0,"area":null},{"id":"2604.02845","title":"Deformation-based In-Context Learning for Point Cloud Understanding","created":"2026-04-03","cited_by_count":0,"area":null},{"id":"2604.10780","title":"LIDARLearn: A Unified Deep Learning Library for 3D Point Cloud Classification, Segmentation, and Self-Supervised Representation Learning","created":"2026-04-12","cited_by_count":0,"area":null},{"id":"2604.22334","title":"FILTR: Extracting Topological Features from Pretrained 3D Models","created":"2026-04-24","cited_by_count":0,"area":null},{"id":"2607.24052","title":"PointCHR: Point Cloud Analysis via Curvature-Aware Hyperbolic Rectification","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2609.02860","title":"PlantC2USeg: Cross-Scale Consistent Pre-Training for Few-Shot Unified Plant Point Cloud Segmentation","created":"2026-09-02","cited_by_count":0,"area":null},{"id":"2609.19716","title":"GAPrompt++: Multi-Granular Geometry-Aware Point Cloud Prompt for 3D Vision Model","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2609.33487","title":"What masking geometry works best for EEG foundation models?","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2610.16122","title":"Geometry-Guided Semantic Reconstruction for 3D Instance Segmentation","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}