3D 视觉 - arXivDaily 专题

2108.03634 2021-08-10 cs.CV 79%

Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud

Jiale Li, Hang Dai, Ling Shao, Yong Ding

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments This is a pre-print of our paper published in proceedings of the 29th ACM International Conference on Multimedia (MM'21)

2011.13005 2021-08-09 cs.CV eess.IV 79%

PREDATOR: Registration of 3D Point Clouds with Low Overlap

Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov, Andreas Wieser, Konrad Schindler

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments CVPR 2021 (Oral) - Improved performance after fixing GNN bug

2108.00454 2021-08-04 cs.CV 79%

SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering

Yifan Zhao, Le Hui, Jin Xie

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments Accepted by ACM Multimedia 2021

2108.01002 2021-08-03 cs.CV 79%

Wood-leaf classification of tree point cloud based on intensity and geometrical information

Jingqian Sun, Pei Wang, Zhiyong Gao, Zichu Liu, Yaxin Li, Xiaozheng Gan

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2108.00780 2021-08-03 cs.CV cs.LG 79%

Angle Based Feature Learning in GNN for 3D Object Detection using Point Cloud

Md Afzal Ansari, Md Meraz, Pavan Chakraborty, Mohammed Javed

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments Accepted in MISP2021

2107.14498 2021-08-02 cs.CV 79%

Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport

Rémy Leroy, Pauline Trouvé-Peloux, Frédéric Champagnat, Bertrand Le Saux, Marcela Carvalho

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments 5 pages, 2 figures, to be published in 2021 International Conference on Machine Vision Applications

2105.01288 2021-07-30 cs.CV 79%

Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis

Tiange Xiang, Chaoyi Zhang, Yang Song, Jianhui Yu, Weidong Cai

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments ICCV 2021

2103.01128 2021-07-30 cs.CV 79%

InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring

Zhihao Yuan, Xu Yan, Yinghong Liao, Ruimao Zhang, Sheng Wang, Zhen Li, Shuguang Cui

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments To appear in ICCV 2021. Codes are released in https://github.com/CurryYuan/InstanceRefer

2107.13152 2021-07-29 cs.CV 79%

Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds

Wei Zhou, Xin Cao, Xiaodan Zhang, Xingxing Hao, Dekui Wang, Ying He

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments arXiv admin note: substantial text overlap with arXiv:2104.14834

2107.12707 2021-07-28 cs.CV 79%

DV-Det: Efficient 3D Point Cloud Object Detection with Dynamic Voxelization

Zhaoyu Su, Pin Siang Tan, Yu-Hsing Wang

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2009.02918 2021-07-28 cs.CV 79%

DV-ConvNet: Fully Convolutional Deep Learning on Point Clouds with Dynamic Voxelization and 3D Group Convolution

Zhaoyu Su, Pin Siang Tan, Junkang Chow, Jimmy Wu, Yehur Cheong, Yu-Hsing Wang

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2003.08355 2021-07-28 eess.IV cs.CV cs.LG cs.MM 79%

Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance

Wei Hu, Qianjiang Hu, Zehua Wang, Xiang Gao

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2107.11992 2021-07-27 cs.CV 79%

HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration

Fan Lu, Guang Chen, Yinlong Liu, Lijun Zhang, Sanqing Qu, Shu Liu, Rongqi Gu

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments Accepted to ICCV 2021

2102.05346 2021-07-20 cs.CV 79%

The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and Multi-View-Stereo

Michael Kölle, Dominik Laupheimer, Stefan Schmohl, Norbert Haala, Franz Rottensteiner, Jan Dirk Wegner, Hugo Ledoux

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments H3D can be retrieved from https://ifpwww.ifp.uni-stuttgart.de/benchmark/hessigheim/default.aspx

2103.00738 2021-07-19 cs.CV cs.AI 79%

FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation

Aoran Xiao, Xiaofei Yang, Shijian Lu, Dayan Guan, Jiaxing Huang

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments 20 pages, 7 figures

2104.10780 2021-07-13 cs.CV 79%

BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving

Sambit Mohapatra, Senthil Yogamani, Heinrich Gotzig, Stefan Milz, Patrick Mader

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments Accepted for Oral Presentation at IEEE Intelligent Transportation Systems Conference (ITSC) 2021

2007.13373 2021-07-13 cs.CV 79%

Part-Aware Data Augmentation for 3D Object Detection in Point Cloud

Jaeseok Choi, Yeji Song, Nojun Kwak

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments This paper has been accepted by IROS 2021

2107.03105 2021-07-08 cs.CV 79%

Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation

Shuang Deng, Bo Liu, Qiulei Dong, Zhanyi Hu

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Journal ref IEEE International Conference on Multimedia and Expo (ICME), 2021

2107.03101 2021-07-08 cs.CV 79%

GA-NET: Global Attention Network for Point Cloud Semantic Segmentation

Shuang Deng, Qiulei Dong

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Journal ref IEEE Signal Processing Letter, Vol. 28, pp. 1300-1304, 2021

2107.02583 2021-07-07 cs.CV 79%

Point Cloud Registration using Representative Overlapping Points

Lifa Zhu, Dongrui Liu, Changwei Lin, Rui Yan, Francisco Gómez-Fernández, Ninghua Yang, Ziyong Feng

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2003.07238 2021-07-06 cs.CV 79%

A Rotation-Invariant Framework for Deep Point Cloud Analysis

Xianzhi Li, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Journal ref IEEE Transactions on Visualization and Computer Graphics, 2021

2103.03046 2021-07-05 cs.CR cs.CV cs.LG 79%

PointGuard: Provably Robust 3D Point Cloud Classification

Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

2107.00400 2021-07-02 eess.IV cs.CV cs.LG 79%

Lossless Coding of Point Cloud Geometry using a Deep Generative Model

Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments This paper has been submitted to the IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). arXiv admin note: text overlap with arXiv:2011.14700

2106.15539 2021-06-30 eess.IV cs.GR 79%

Model-Centric Volumetric Point Cloud Attributes

Ricardo L. de Queiroz, Camilo Dorea, Davi R. Freitas, Maja Krivokuca, Gustavo P. Sandri

专题命中点云：point cloud(title,abstract)；分类 cs.GR

2106.15325 2021-06-30 cs.CV cs.AI cs.LG 79%

SE-MD: A Single-encoder multiple-decoder deep network for point cloud generation from 2D images

Abdul Mueed Hafiz, Rouf Ul Alam Bhat, Shabir Ahmad Parah, M. Hassaballah

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2106.14275 2021-06-29 cs.CV 79%

Learning without Forgetting for 3D Point Cloud Objects

Townim Chowdhury, Mahira Jalisha, Ali Cheraghian, Shafin Rahman

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments Accepted in International Work-Conference on Artificial and Natural Neural Networks, (IWANN) 2021

2106.13974 2021-06-29 cs.CV 79%

Semantics-aware Multi-modal Domain Translation:From LiDAR Point Clouds to Panoramic Color Images

Tiago Cortinhal, Fatih Kurnaz, Eren Aksoy

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2104.06772 2021-06-22 cs.CV cs.AI eess.SP 79%

Deep Evaluation Metric: Learning to Evaluate Simulated Radar Point Clouds for Virtual Testing of Autonomous Driving

Anthony Ngo, Max Paul Bauer, Michael Resch

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments 2021 IEEE Radar Conference (IEEE RadarConf 2021)

2106.08562 2021-06-17 eess.IV cs.GR eess.SP 79%

Multi-resolution intra-predictive coding of 3D point cloud attributes

Eduardo Pavez, Andre L. Souto, Ricardo L. De Queiroz, Antonio Ortega

专题命中点云：point cloud(title,abstract)；分类 cs.GR

Comments 5 pages, 5 figures, Accepted at 2021 IEEE International Conference on Image Processing (ICIP)

2106.07552 2021-06-15 cs.CV 79%

PC-DAN: Point Cloud based Deep Affinity Network for 3D Multi-Object Tracking (Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21)

Aakash Kumar, Jyoti Kini, Mubarak Shah, Ajmal Mian

专题命中点云：point cloud(title,abstract)；分类 cs.CV

1. 点云 7715 篇

Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud

PREDATOR: Registration of 3D Point Clouds with Low Overlap

SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering

Wood-leaf classification of tree point cloud based on intensity and geometrical information

Angle Based Feature Learning in GNN for 3D Object Detection using Point Cloud

Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport

Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis

InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring

Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds

DV-Det: Efficient 3D Point Cloud Object Detection with Dynamic Voxelization

DV-ConvNet: Fully Convolutional Deep Learning on Point Clouds with Dynamic Voxelization and 3D Group Convolution

Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance

HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration

The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and Multi-View-Stereo

FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation

BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving

Part-Aware Data Augmentation for 3D Object Detection in Point Cloud

Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation

GA-NET: Global Attention Network for Point Cloud Semantic Segmentation

Point Cloud Registration using Representative Overlapping Points

A Rotation-Invariant Framework for Deep Point Cloud Analysis

PointGuard: Provably Robust 3D Point Cloud Classification

Lossless Coding of Point Cloud Geometry using a Deep Generative Model

Model-Centric Volumetric Point Cloud Attributes

SE-MD: A Single-encoder multiple-decoder deep network for point cloud generation from 2D images

Learning without Forgetting for 3D Point Cloud Objects

Semantics-aware Multi-modal Domain Translation:From LiDAR Point Clouds to Panoramic Color Images

Deep Evaluation Metric: Learning to Evaluate Simulated Radar Point Clouds for Virtual Testing of Autonomous Driving

Multi-resolution intra-predictive coding of 3D point cloud attributes

PC-DAN: Point Cloud based Deep Affinity Network for 3D Multi-Object Tracking (Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21)