Point Cloud
Point clouds are collections of 3D data points representing objects or scenes, primarily used for tasks like 3D reconstruction, object recognition, and autonomous navigation. Current research focuses on improving the efficiency and robustness of point cloud processing, employing techniques like deep learning (e.g., transformers, convolutional neural networks), optimal transport, and Gaussian splatting for tasks such as registration, completion, and compression. These advancements are crucial for applications ranging from robotics and autonomous driving to medical imaging and cultural heritage preservation, enabling more accurate and efficient analysis of complex 3D data.
1270papers
Papers - Page 3
March 11, 2025
JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data
Runjian Chen, Wenqi Shao, Bo Zhang, Shaoshuai Shi, Li Jiang, Ping LuoThe University of Hong Kong●Shanghai AI Laboratory●Didi Chuxing●The Chinese University of Hong Kong (Shenzhen)Mitigating Ambiguities in 3D Classification with Gaussian Splatting
Ruiqi Zhang, Hao Zhu, Jingyi Zhao, Qi Zhang, Xun Cao, Zhan MaNanjing University●Imperial College London●Vivo CompanyTalk2PC: Enhancing 3D Visual Grounding through LiDAR and Radar Point Clouds Fusion for Autonomous Driving
Runwei Guan, Jianan Liu, Ningwei Ouyang, Daizong Liu, Xiaolou Sun, Lianqing Zheng, Ming Xu, Yutao Yue, Hui XiongHong Kong University of Science and Technology (Guangzhou)●Momoni AI●Xi’an Jiaotong-Livepool University●Peking University●Southeast...+2
March 10, 2025
AgriField3D: A Curated 3D Point Cloud and Procedural Model Dataset of Field-Grown Maize from a Diversity Panel
Elvis Kimara, Mozhgan Hadadi, Jackson Godbersen, Aditya Balu, Talukder Jubery, Yawei Li, Adarsh Krishnamurthy, Patrick S. Schnable+1Iowa State University●Translational AI Research and Education Center●Plant Science InstituteSANDRO: a Robust Solver with a Splitting Strategy for Point Cloud Registration
Michael Adlerstein, João Carlos Virgolino Soares, Angelo Bratta, Claudio SeminiIstituto Italiano di Tecnologia
March 6, 2025
Spectral Informed Mamba for Robust Point Cloud Processing
Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Sahar Dastani, Milad Cheraghalikhani, David Osowiechi, Gustavo Adolfo Vargas Hakim+3École de technologie supérieure●International Laboratory on Learning SystemsAdapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning
Albert Wilcox, Mohamed Ghanem, Masoud Moghani, Pierre Barroso, Benjamin Joffe, Animesh GargGeorgia Institute of Technology●Georgia Tech Research Institute●University of TorontoTransferable Foundation Models for Geometric Tasks on Point Cloud Representations: Geometric Neural Operators
Blaine Quackenbush, Paul J. AtzbergerUniversity of California Santa Barbara (UCSB)PointsToWood: A deep learning framework for complete canopy leaf-wood segmentation of TLS data across diverse European forests
Harry J. F. Owen, Matthew J. A. Allen, Stuart W. D. Grieve, Phill Wilkes, Emily R. LinesUniversity of Cambridge●Queen Mary University of London●Royal Botanical GardensSelf-Supervised Large Scale Point Cloud Completion for Archaeological Site Restoration
Aocheng Li, James R. Zimmer-Dauphinee, Rajesh Kalyanam, Ian Lindsay, Parker VanValkenburgh, Steven Wernke, Daniel AliagaPurdue University●Vanderbilt University
March 4, 2025
ArcPro: Architectural Programs for Structured 3D Abstraction of Sparse Points
Qirui Huang, Runze Zhang, Kangjun Liu, Minglun Gong, Hao Zhang, Hui HuangShenzhen University●Pengcheng Laboratory●University of Guelph●Simon Fraser UniversityClass-Aware PillarMix: Can Mixed Sample Data Augmentation Enhance 3D Object Detection with Radar Point Clouds?
Miao Zhang, Sherif Abdulatif, Benedikt Loesch, Marco Altmann, Bin YangRobert Bosch GmbH●University of StuttgartCMMLoc: Advancing Text-to-PointCloud Localization with Cauchy-Mixture-Model Based Framework
Yanlong Xu, Haoxuan Qu, Jun Liu, Wenxiao Zhang, Xun YangUniversity of Science and Technology of China●Lancaster University●Hohai UniversitymmDEAR: mmWave Point Cloud Density Enhancement for Accurate Human Body Reconstruction
Jiarui Yang, Songpengcheng Xia, Zengyuan Lai, Lan Sun, Qi Wu, Wenxian Yu, Ling PeiShanghai Jiao Tong UniversityHyperGCT: A Dynamic Hyper-GNN-Learned Geometric Constraint for 3D Registration
Xiyu Zhang, Jiayi Ma, Jianwei Guo, Wei Hu, Zhaoshuai Qi, Fei Hui, Jiaqi Yang, Yanning ZhangNorthwestern Polytechnical University●Wuhan University●Chinese Academy of Sciences●Peking University●Chang’an University
March 2, 2025
HiMo: High-Speed Objects Motion Compensation in Point Clouds
Qingwen Zhang, Ajinkya Khoche, Yi Yang, Li Ling, Sina Sharif Mansouri, Olov Andersson, Patric JensfeltKTH Royal Institute of Technology●Scania GroupSTAR-Edge: Structure-aware Local Spherical Curve Representation for Thin-walled Edge Extraction from Unstructured Point Clouds
Zikuan Li, Honghua Chen, Yuecheng Wang, Sibo Wu, Mingqiang Wei, Jun WangNanjing University of Aeronautics and Astronautics