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OpenAlex Citation Counts

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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:

KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas, Charles R. Qi, Jean‐Emmanuel Deschaud, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 6410-6419
Open Access | Times Cited: 2258

Showing 1-25 of 2258 citing articles:

Deep Learning for 3D Point Clouds: A Survey
Yulan Guo, Hanyun Wang, Qingyong Hu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020) Vol. 43, Iss. 12, pp. 4338-4364
Open Access | Times Cited: 1630
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
Qingyong Hu, Bo Yang, Linhai Xie, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 1523
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 10526-10535
Open Access | Times Cited: 1491
PCT: Point cloud transformer
Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu, et al.
Computational Visual Media (2021) Vol. 7, Iss. 2, pp. 187-199
Open Access | Times Cited: 1317
Point Transformer
Hengshuang Zhao, Li Jiang, Jiaya Jia, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Closed Access | Times Cited: 1248
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision
Michael Niemeyer, Lars Mescheder, Michael Oechsle, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 3501-3512
Open Access | Times Cited: 763
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling
Yan Xu, Chaoda Zheng, Zhen Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 5588-5597
Open Access | Times Cited: 556
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Haotian Tang, Zhijian Liu, Shengyu Zhao, et al.
Lecture notes in computer science (2020), pp. 685-702
Closed Access | Times Cited: 500
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
Julian Chibane, Thiemo Alldieck, Gerard Pons‐Moll
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 6968-6979
Open Access | Times Cited: 453
Dynamic Neural Networks: A Survey
Yizeng Han, Gao Huang, Shiji Song, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 11, pp. 7436-7456
Open Access | Times Cited: 452
Beyond Self-Attention: External Attention Using Two Linear Layers for Visual Tasks
Meng-Hao Guo, Zheng-Ning Liu, Tai‐Jiang Mu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-13
Open Access | Times Cited: 447
PREDATOR: Registration of 3D Point Clouds with Low Overlap
Shengyu Huang, Žan Gojčič, Mikhail Usvyatsov, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 4265-4274
Open Access | Times Cited: 415
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
Xinge Zhu, Hui Zhou, Tai Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 380
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
Xumin Yu, Lulu Tang, Yongming Rao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 19291-19300
Open Access | Times Cited: 372
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
Xuyang Bai, Zixin Luo, Lei Zhou, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 362
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review
Yaodong Cui, Ren Chen, Wenbo Chu, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 2, pp. 722-739
Open Access | Times Cited: 351
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
Mutian Xu, Runyu Ding, Hengshuang Zhao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 350
An End-to-End Transformer Model for 3D Object Detection
Ishan Misra, Rohit Girdhar, Armand Joulin
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 2886-2897
Open Access | Times Cited: 333
3D Object Detection with Pointformer
Xuran Pan, Zhuofan Xia, Shiji Song, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 7459-7468
Open Access | Times Cited: 327
Stratified Transformer for 3D Point Cloud Segmentation
Xin Lai, Jianhui Liu, Li Jiang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 316
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
Geometric Transformer for Fast and Robust Point Cloud Registration
Zheng Qin, Hao Yu, Changiian Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 11133-11142
Open Access | Times Cited: 273
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
Shaoshuai Shi, Li Jiang, Jiajun Deng, et al.
International Journal of Computer Vision (2022) Vol. 131, Iss. 2, pp. 531-551
Open Access | Times Cited: 268
Masked Autoencoders for Point Cloud Self-supervised Learning
Yatian Pang, Wenxiao Wang, Francis E. H. Tay, et al.
Lecture notes in computer science (2022), pp. 604-621
Closed Access | Times Cited: 256
ConvPoint: Continuous convolutions for point cloud processing
Alexandre Boulch
Computers & Graphics (2020) Vol. 88, pp. 24-34
Open Access | Times Cited: 254
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