OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

PCN: Point Completion Network
Wentao Yuan, Tejas Khot, David Held, et al.
2021 International Conference on 3D Vision (3DV) (2018), pp. 728-737
Open Access | Times Cited: 747

Showing 1-25 of 747 citing articles:

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park, Pete Florence, Julian Straub, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 165-174
Closed Access | Times Cited: 2690

TopNet: Structural Point Cloud Decoder
Lyne P. Tchapmi, Vineet Kosaraju, Hamid Rezatofighi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 383-392
Closed Access | Times Cited: 397

PF-Net: Point Fractal Network for 3D Point Cloud Completion
Zitian Huang, Yikuan Yu, Jiawen Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 389

PU-GAN: A Point Cloud Upsampling Adversarial Network
Ruihui Li, Xianzhi Li, Chi‐Wing Fu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019)
Open Access | Times Cited: 366

Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, et al.
Lecture notes in computer science (2020), pp. 608-625
Closed Access | Times Cited: 338

PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
Xumin Yu, Yongming Rao, Ziyi Wang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 12478-12487
Open Access | Times Cited: 331

Morphing and Sampling Network for Dense Point Cloud Completion
Minghua Liu, Lu Sheng, Sheng Yang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 07, pp. 11596-11603
Open Access | Times Cited: 284

PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling
Hao Liu, Hui Yuan, Junhui Hou, et al.
IEEE Transactions on Image Processing (2022) Vol. 31, pp. 7389-7402
Open Access | Times Cited: 283

GRNet: Gridding Residual Network for Dense Point Cloud Completion
Haozhe Xie, Hongxun Yao, Shangchen Zhou, et al.
Lecture notes in computer science (2020), pp. 365-381
Closed Access | Times Cited: 277

Patch-Based Progressive 3D Point Set Upsampling
Yifan Wang, Shihao Wu, Hui Huang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 5951-5960
Open Access | Times Cited: 260

Point Cloud Completion by Skip-Attention Network With Hierarchical Folding
Xin Wen, Tianyang Li, Zhizhong Han, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 1936-1945
Open Access | Times Cited: 248

Cascaded Refinement Network for Point Cloud Completion
Xiaogang Wang, Marcelo H. Ang, Gim Hee Lee
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 229

SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer
Xiang Peng, Xin Wen, Yu-Shen Liu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 5479-5489
Open Access | Times Cited: 200

PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
Guocheng Qian, Abdulellah Abualshour, Guohao Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 11678-11687
Open Access | Times Cited: 172

Focal Sparse Convolutional Networks for 3D Object Detection
Yukang Chen, Yanwei Li, Xiangyu Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 5418-5427
Open Access | Times Cited: 172

Variational Relational Point Completion Network
Liang Pan, Xinyi Chen, Zhongang Cai, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 8520-8529
Open Access | Times Cited: 168

Unsupervised Point Cloud Pre-training via Occlusion Completion
Hanchen Wang, Qi Liu, Xiangyu Yue, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 157

PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention
Yongbin Sun, Yue Wang, Ziwei Liu, et al.
(2020), pp. 61-70
Open Access | Times Cited: 156

Learning to Sample
Oren Dovrat, Itai Lang, Shai Avidan
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Closed Access | Times Cited: 151

Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
Qingyong Hu, Bo Yang, Sheikh Khalid, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 148

PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths
Xin Wen, Xiang Peng, Zhizhong Han, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 7439-7448
Open Access | Times Cited: 144

SampleNet: Differentiable Point Cloud Sampling
Itai Lang, Asaf Manor, Shai Avidan
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 140

Deep 3D Object Detection Networks Using LiDAR Data: A Review
Yutian Wu, Yueyu Wang, Shuwei Zhang, et al.
IEEE Sensors Journal (2020) Vol. 21, Iss. 2, pp. 1152-1171
Closed Access | Times Cited: 139

Self-Supervised Learning for Domain Adaptation on Point Clouds
Idan Achituve, Haggai Maron, Gal Chechik
(2021)
Open Access | Times Cited: 130

SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation
Qiangeng Xu, Yin Zhou, Weiyue Wang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 129

Page 1 - Next Page

Scroll to top