{"total":13,"rows":[{"id":"2410.08114","title":"Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning","created":"2024-10-10","cited_by_count":43,"area":null},{"id":"2408.11567","title":"Positional Prompt Tuning for Efficient 3D Representation Learning","created":"2024-08-21","cited_by_count":15,"area":null},{"id":"2410.20406","title":"Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis","created":"2024-10-27","cited_by_count":6,"area":null},{"id":"2503.18368","title":"MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning","created":"2025-03-24","cited_by_count":6,"area":null},{"id":"2505.22444","title":"On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation","created":"2025-05-28","cited_by_count":4,"area":null},{"id":"2604.04933","title":"PointTPA: Dynamic Network Parameter Adaptation for 3D Scene Understanding","created":"2026-04-06","cited_by_count":2,"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":"2509.02962","title":"Resilient Multimodal Industrial Surface Defect Detection with Uncertain Sensors Availability","created":"2025-09-03","cited_by_count":1,"area":null},{"id":"2603.07454","title":"SLNet: A Super-Lightweight Geometry-Adaptive Network for 3D Point Cloud Recognition","created":"2026-03-08","cited_by_count":1,"area":null},{"id":"2511.12079","title":"Point Cloud Quantization through Multimodal Prompting for 3D Understanding","created":"2025-11-15","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":"2607.19711","title":"Point-Selection Fine-Tuning Framework for Robust Point Cloud Classification","created":"2026-07-22","cited_by_count":0,"area":null},{"id":"2608.02129","title":"PromptPath: Prompt-Adaptive Computational Pathways for In-Context Learning","created":"2026-08-03","cited_by_count":0,"area":null}],"next_cursor":null}