3D 视觉

3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation

Iñigo Alonso, Luis Riazuelo, Luis Montesano, Ana C. Murillo

专题命中 点云 ：point cloud(title)；分类 cs.CV

Comments 8 pages, 4 figures

Neighbourhood-Insensitive Point Cloud Normal Estimation Network

Zirui Wang, Victor Adrian Prisacariu

专题命中 点云 ：point cloud(title)；分类 cs.CV

Comments Accepted in BMVC 2020 as oral presentation. Code available at https://code.active.vision and project page at http://ninormal.active.vision

Towards real-time object recognition and pose estimation in point clouds

Marlon Marcon, Olga Regina Pereira Bellon, Luciano Silva

专题命中 点云 ：point cloud(title)；分类 cs.CV

Comments Accepted as Full paper at VISAPP2021

Torch-Points3D: A Modular Multi-Task Frameworkfor Reproducible Deep Learning on 3D Point Clouds

Thomas Chaton, Nicolas Chaulet, Sofiane Horache, Loic Landrieu

专题命中 点云 ：point cloud(title)；分类 cs.CV

Generating synthetic photogrammetric data for training deep learning based 3D point cloud segmentation models

Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman

专题命中 点云 ：point cloud(title)；分类 cs.CV

Journal ref Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC) 2020

BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud

Mong H. Ng, Kaahan Radia, Jianfei Chen, Dequan Wang, Ionel Gog, Joseph E. Gonzalez

专题命中 点云 ：point cloud(title)；分类 cs.CV

Comments Accepted into CVPR 2020 Workshop Scalability in Autonomous Driving by Waymo

Minimum Potential Energy of Point Cloud for Robust Global Registration

Zijie Wu, Yaonan Wang, Qing Zhu, Jianxu Mao, Haotian Wu, Mingtao Feng, Ajmal Mian

专题命中 点云 ：point cloud(title)；分类 cs.CV

Automatic clustering of Celtic coins based on 3D point cloud pattern analysis

Sofiane Horache, Jean-Emmanuel Deschaud, François Goulette, Katherine Gruel, Thierry Lejars

专题命中 点云 ：point cloud(title)；分类 cs.CV

PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

Yang Zhang, Zixiang Zhou, Philip David, Xiangyu Yue, Zerong Xi, Boqing Gong, Hassan Foroosh

专题命中 点云 ：point cloud(title)；分类 cs.CV

Comments Accepted by CVPR 2020; Code at https://github.com/edwardzhou130/PolarSeg

Probabilistic Egocentric Motion Correction of Lidar Point Cloud and Projection to Camera Images for Moving Platforms

Mao Shan, Julie Stephany Berrio, Stewart Worrall, Eduardo Nebot

专题命中 点云 ：point cloud(title)；分类 cs.RO

Comments 8 pages, 9 figures, submitted to ITSC 2020 for review

OREOS: Oriented Recognition of 3D Point Clouds in Outdoor Scenarios

Lukas Schaupp, Mathias Bürki, Renaud Dubé, Roland Siegwart, Cesar Cadena

专题命中 点云 ：point cloud(title)；分类 cs.RO

SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor

Jiachen Xu, Jingyu Gong, Jie Zhou, Xin Tan, Yuan Xie, Lizhuang Ma

专题命中 点云 ：point cloud(title)；分类 cs.CV

RGB Point Cloud Manipulation with Triangular Structures for Artistic Image Recoloring

Baptiste Delos, Nicolas Mellado, David Vanderhaeghe, Remi Cozot

专题命中 点云 ：point cloud(title)；分类 cs.GR

Comments 8 pages, 7 figures

Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation

Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu, Jiaya Jia

专题命中 点云 ：point cloud(title)；分类 cs.CV

Comments Accepted by ICCV 2019

Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Benjin Zhu, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, Gang Yu

专题命中 点云 ：point cloud(title)；分类 cs.CV

Comments technical report

End-to-end sensor modeling for LiDAR Point Cloud

Khaled Elmadawi, Moemen Abdelrazek, Mohamed Elsobky, Hesham M. Eraqi, Mohamed Zahran

专题命中 点云 ：point cloud(title)；分类 cs.CV

Comments Accepted in IEEE Intelligent Transportation Systems Conference - ITSC 2019

A Joint Optimization Approach of LiDAR-Camera Fusion for Accurate Dense 3D Reconstructions

Weikun Zhen, Yaoyu Hu, Jingfeng Liu, Sebastian Scherer

专题命中 点云 ：3D reconstruction(title)；分类 cs.RO

Comments Accepted by IEEE Robotics and Automation Letters and is to be presented at IROS2019, Macau

Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds

Martin Simon, Karl Amende, Andrea Kraus, Jens Honer, Timo Sämann, Hauke Kaulbersch, Stefan Milz, Horst Michael Gross

专题命中 点云 ：point cloud(title)；分类 cs.CV

3D point cloud registration with shape constraint

Swapna Agarwal, Brojeshwar Bhowmick

专题命中 点云 ：point cloud(title)；分类 cs.CV

Comments Published in ICIP 2017

SegMatch: Segment based loop-closure for 3D point clouds

Renaud Dubé, Daniel Dugas, Elena Stumm, Juan Nieto, Roland Siegwart, Cesar Cadena

专题命中 点云 ：point cloud(title)；分类 cs.RO

Comments 8 pages, 8 figures

DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning

Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest Iandola

专题命中 点云 ：point cloud(title)；分类 cs.CV

Comments V2

3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds

Ali Cheraghian, Lars Petersson

专题命中 点云 ：point cloud(title)；分类 cs.CV

Comments 2019 IEEE Winter Conference on Applications of Computer Vision (WACV)

Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Nathaniel Thomas, Tess Smidt, Steven Kearnes, Lusann Yang, Li Li, Kai Kohlhoff, Patrick Riley

专题命中 点云 ：point cloud(title)；分类 cs.CV

Comments changes for NIPS submission

Exclusion of GNSS NLOS Receptions Caused by Dynamic Objects in Heavy Traffic Urban Scenarios Using Real-Time 3D Point Cloud: An Approach without 3D Maps

Weisong Wen, Guohao Zhang, Li-Ta Hsu

专题命中 点云 ：point cloud(title)；分类 cs.RO

Comments 8 pages, accepted by the IEEE/ION PLANS 2018

Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees

Hamid Hamraz, Nathan B. Jacobs, Marco A. Contreras, Chase H. Clark

专题命中 点云 ：point cloud(title)；分类 cs.CV

Comments Under review as of the date of submission

Sampling Superquadric Point Clouds with Normals

Paulo Ferreira

专题命中 点云 ：point cloud(title)；分类 cs.CV

LiDAR point clouds correction acquired from a moving car based on CAN-bus data

Pierre Merriaux, Yohan Dupuis, Rémi Boutteau, Pascal Vasseur, Xavier Savatier

专题命中 点云 ：point cloud(title)；分类 cs.RO

Global registration of multiple point clouds using semidefinite programming

Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer

专题命中 点云 ：point cloud(title)；分类 cs.CV

Comments 33 pages, 12 figures. To appear in SIAM Journal on Optimization

Dynamic Object Detection and Tracking in Construction: A Fisheye Camera and LiDAR Sensor Fusion Model

建筑中的动态目标检测与跟踪：一种鱼眼相机与激光雷达传感器融合模型

Yilong Chen, Huili Huang, Yong K. Cho

机构 * Georgia Institute of Technology（佐治亚理工学院） 纠错

专题命中 点云 ：3D vision(abstract)；point cloud(abstract)；分类 cs.CV、cs.RO

AI总结 针对建筑等复杂环境中机器人动态目标检测与跟踪问题，提出融合鱼眼相机与激光雷达传感器的框架，通过在配准点云里识别移动物体、投影坐标分配语义标签并结合图像检测更新卡尔曼滤波器观测，具有高精度、简单且鲁棒的特点。

Comments 4 pages, 8 figures, submitted to IEEE International Conference on Robotics and Automation (ICRA) 2025 Future of Construction Workshop

iVISION-2DCD: A Long-Term Change Detection Dataset for Large-Scale Outdoor Construction Monitoring

iVISION-2DCD：用于大规模户外建筑监测的长期变化检测数据集

Dayou Mao, Yuchen Lin, Ashkan Ebadi, John Zelek, Alexander Wong, Yuhao Chen

机构 * National Research Council Canada（加拿大国家研究委员会） ； Vision and Image Processing Research Group, Systems Design Engineering, University of Waterloo（滑铁卢大学系统设计工程系视觉与图像处理研究小组） 纠错

专题命中 点云 ：point cloud(abstract)；novel view synthesis(abstract)；分类 cs.CV、cs.RO

AI总结 研究从检测建筑工地变化监测施工进度，针对跨视角变化检测算法缺开源基准数据集问题，用LiDAR点云生成iVISION-2DCD数据集，提出合成数据生成等方法，为相关领域带来新挑战。

Comments 11 pages, 7 figures, 1 table. Accepted for publication at the 2026 IEEE International Conference on Robotics and Automation (ICRA 2026). Project page: https://danielmao2019.github.io/iVISION-2DCD-dataset.github.io/