3D 视觉 - arXivDaily 专题

2008.12066 2021-09-20 cs.CV 79%

Minimal Adversarial Examples for Deep Learning on 3D Point Clouds

Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung

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

Comments ICCV 2021 camera-ready paper (8 pages)

2109.07717 2021-09-17 cs.RO 79%

R-PCC: A Baseline for Range Image-based Point Cloud Compression

Sukai Wang, Jianhao Jiao, Peide Cai, Ming Liu

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

Comments Submitted to ICRA2022

2109.07342 2021-09-16 cs.RO cs.SY eess.SY 79%

Sequential Point Cloud Prediction in Interactive Scenarios: A Survey

Haowen Wang, Zirui Li, Jianwei Gong

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

2109.06619 2021-09-16 cs.CV 79%

Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration

Haobo Jiang, Yaqi Shen, Jin Xie, Jun Li, Jianjun Qian, Jian Yang

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

Comments Accepted by ICCV-2021

2004.08596 2021-09-16 cs.CV 79%

DAPnet: A Double Self-attention Convolutional Network for Point Cloud Semantic Labeling

Li Chen, Zewei Xu, Yongjian Fu, Haozhe Huang, Shaowen Wang, Haifeng Li

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

Comments 12 pages, 7 figures

Journal ref IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021

2109.06448 2021-09-15 cs.CV cs.LG eess.IV 79%

Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds

Dariush Salami, Ramin Hasibi, Sameera Palipana, Petar Popovski, Tom Michoel, Stephan Sigg

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

Comments The paper is submitted to the journal of Transactions on Mobile Computing. And it is still under review

2102.04014 2021-09-15 cs.CV 79%

Point-set Distances for Learning Representations of 3D Point Clouds

Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua

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

Comments ICCV 2021 camera-ready paper (8 pages) with supplementary (3.5 pages)

2103.00937 2021-09-14 cs.CV 79%

OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration

Hao Xu, Shuaicheng Liu, Guangfu Wang, Guanghui Liu, Bing Zeng

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

2011.12079 2021-09-13 cs.CV 79%

Multi-Features Guidance Network for partial-to-partial point cloud registration

Hongyuan Wang, Xiang Liu, Wen Kang, Zhiqiang Yan, Bingwen Wang, Qianhao Ning

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

Comments preprint version, the final version is accepted by Neural Computing and Applications and is available online at https://doi.org/10.1007/s00521-021-06464-y

2109.00113 2021-09-07 cs.CV 79%

CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds

Eric-Tuan Lê, Minhyuk Sung, Duygu Ceylan, Radomir Mech, Tamy Boubekeur, Niloy J. Mitra

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

Comments ICCV 2021: 15 pages, 8 figures

Journal ref ICCV 2021

2006.10187 2021-09-07 cs.CV 79%

TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations

Jiahao Pang, Duanshun Li, Dong Tian

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

Comments Accepted at CVPR 2021

2109.00179 2021-09-02 cs.CV 79%

Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds

Siyuan Huang, Yichen Xie, Song-Chun Zhu, Yixin Zhu

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

Comments ICCV 2021

2108.12856 2021-08-31 cs.CV 79%

Differentiable Convolution Search for Point Cloud Processing

Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, Chunhong Pan

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

2107.01886 2021-08-31 cs.CV 79%

Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning

Bi'an Du, Xiang Gao, Wei Hu, Xin Li

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

Comments Accepted to ACM MM 2021

2103.10339 2021-08-27 cs.CV eess.IV 79%

Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud

Mingye Xu, Zhipeng Zhou, Junhao Zhang, Yu Qiao

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

Comments AAAI2021

2003.00856 2021-08-25 cs.CV cs.LG stat.ML 79%

Triangle-Net: Towards Robustness in Point Cloud Learning

Chenxi Xiao, Juan Wachs

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

Comments WACV 2021

Journal ref Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021, pp. 826-835

2108.03917 2021-08-21 cs.CV cs.LG 79%

LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices

Radu Alexandru Rosu, Peer Schütt, Jan Quenzel, Sven Behnke

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

Comments arXiv admin note: substantial text overlap with arXiv:1912.05905

2108.08839 2021-08-20 cs.CV cs.AI cs.LG 79%

PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou

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

Comments Accepted to ICCV 2021 (Oral Presentation)

2108.08035 2021-08-20 cs.CV 79%

Adaptive Graph Convolution for Point Cloud Analysis

Haoran Zhou, Yidan Feng, Mingsheng Fang, Mingqiang Wei, Jing Qin, Tong Lu

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

Comments Camera-ready, to be published in ICCV 2021

2108.02613 2021-08-20 cs.CV cs.AI 79%

Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration

Haobo Jiang, Jin Xie, Jianjun Qian, Jian Yang

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

Comments Accepted by IJCAI-2021

2107.13459 2021-08-19 cs.CV cs.LG 79%

Surrogate Model-Based Explainability Methods for Point Cloud NNs

Hanxiao Tan, Helena Kotthaus

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

2108.06317 2021-08-18 cs.CV cs.LG 79%

Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification

Shyam A. Tailor, René de Jong, Tiago Azevedo, Matthew Mattina, Partha Maji

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

Comments 8 pages. Accepted to the Deep Learning for Geometric Computing Workshop at ICCV 2021

2108.06306 2021-08-16 cs.CV 79%

3D point cloud segmentation using GIS

Chao-Jung Liu, Vladimir Krylov, Rozenn Dahyot

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

Comments 8 pages

Journal ref IMVIP 2018

2103.15039 2021-08-16 cs.CV 79%

LSG-CPD: Coherent Point Drift with Local Surface Geometry for Point Cloud Registration

Weixiao Liu, Hongtao Wu, Gregory Chirikjian

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

Comments Accepted to ICCV 2021

2108.05836 2021-08-13 cs.CV 79%

AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds

Runsong Zhu, Yuan Liu, Zhen Dong, Tengping Jiang, Yuan Wang, Wenping Wang, Bisheng Yang

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

Comments iccv2021 project page: https://runsong123.github.io/AdaFit/

2108.05630 2021-08-13 cs.CV 79%

3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud

Zheng Fang, Sifan Zhou, Yubo Cui, Sebastian Scherer

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

Journal ref IEEE Sensors Journal, vol.21, no.4, pp.4995-5011,2021

2011.12688 2021-08-11 eess.IV cs.CV 79%

Reduced Reference Perceptual Quality Model and Application to Rate Control for 3D Point Cloud Compression

Qi Liu, Hui Yuan, Raouf Hamzaoui, Honglei Su, Junhui Hou, Huan Yang

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

Comments 14 figures and 7 tables, submitted to IEEE T IP

2108.04221 2021-08-10 cs.CV cs.AI 79%

ABD-Net: Attention Based Decomposition Network for 3D Point Cloud Decomposition

Siddharth Katageri, Shashidhar V Kudari, Akshaykumar Gunari, Ramesh Ashok Tabib, Uma Mudenagudi

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

2108.04015 2021-08-10 cs.RO 79%

Active Visuo-Tactile Point Cloud Registration for Accurate Pose Estimation of Objects in an Unknown Workspace

Prajval Kumar Murali, Michael Gentner, Mohsen Kaboli

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

Comments Accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)

2108.03746 2021-08-10 cs.CV 79%

Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching

Chen Chao, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker

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

Comments To appear at ICCV 2021. Our code, data and models are available at https://github.com/chenchao15/2D\_projection\_matching

1. 点云 7715 篇

Minimal Adversarial Examples for Deep Learning on 3D Point Clouds

R-PCC: A Baseline for Range Image-based Point Cloud Compression

Sequential Point Cloud Prediction in Interactive Scenarios: A Survey

Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration

DAPnet: A Double Self-attention Convolutional Network for Point Cloud Semantic Labeling

Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds

Point-set Distances for Learning Representations of 3D Point Clouds

OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration

Multi-Features Guidance Network for partial-to-partial point cloud registration

CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds

TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations

Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds

Differentiable Convolution Search for Point Cloud Processing

Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning

Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud

Triangle-Net: Towards Robustness in Point Cloud Learning

LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices

PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

Adaptive Graph Convolution for Point Cloud Analysis

Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration

Surrogate Model-Based Explainability Methods for Point Cloud NNs

Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification

3D point cloud segmentation using GIS

LSG-CPD: Coherent Point Drift with Local Surface Geometry for Point Cloud Registration

AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds

3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud

Reduced Reference Perceptual Quality Model and Application to Rate Control for 3D Point Cloud Compression

ABD-Net: Attention Based Decomposition Network for 3D Point Cloud Decomposition

Active Visuo-Tactile Point Cloud Registration for Accurate Pose Estimation of Objects in an Unknown Workspace

Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching