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:

PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding
Kaichun Mo, Shilin Zhu, Anne Lynn S. Chang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 909-918
Closed Access | Times Cited: 555

Showing 1-25 of 555 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: 1620

Camouflaged Object Detection
Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 2774-2784
Closed Access | Times Cited: 531

Concealed Object Detection
Deng-Ping Fan, Ge-Peng Ji, Ming–Ming Cheng, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 10, pp. 6024-6042
Open Access | Times Cited: 402

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
Li Jiang, Hengshuang Zhao, Shaoshuai Shi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 339

SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
Chenfeng Xu, Bichen Wu, Zining Wang, et al.
Lecture notes in computer science (2020), pp. 1-19
Closed Access | Times Cited: 333

GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
Li Yi, Wang Zhao, He Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 3942-3951
Open Access | Times Cited: 322

Synthetic Data for Deep Learning
Sergey Nikolenko
Springer optimization and its applications (2021)
Closed Access | Times Cited: 268

3D Shape Generation and Completion through Point-Voxel Diffusion
Linqi Zhou, Yilun Du, Jiajun Wu
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 5806-5815
Open Access | Times Cited: 265

Review: Deep Learning on 3D Point Clouds
Saifullahi Aminu Bello, Shangshu Yu, Cheng Wang, et al.
Remote Sensing (2020) Vol. 12, Iss. 11, pp. 1729-1729
Open Access | Times Cited: 260

SAPIEN: A SimulAted Part-Based Interactive ENvironment
Fanbo Xiang, Yuzhe Qin, Kaichun Mo, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 259

BSP-Net: Generating Compact Meshes via Binary Space Partitioning
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 42-51
Open Access | Times Cited: 257

A Review of Deep Learning-Based Semantic Segmentation for Point Cloud
Jiaying Zhang, Xiaoli Zhao, Zheng Chen, et al.
IEEE Access (2019) Vol. 7, pp. 179118-179133
Open Access | Times Cited: 234

SDM-NET
Lin Gao, Jie Yang, Tong Wu, et al.
ACM Transactions on Graphics (2019) Vol. 38, Iss. 6, pp. 1-15
Open Access | Times Cited: 224

Objaverse: A Universe of Annotated 3D Objects
Matt Deitke, Dustin Schwenk, Jordi Salvador, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 13142-13153
Open Access | Times Cited: 224

OccuSeg: Occupancy-Aware 3D Instance Segmentation
Lei Han, Tian Zheng, Lan Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 223

StructureNet
Kaichun Mo, Paul Guerrero, Li Yi, et al.
ACM Transactions on Graphics (2019) Vol. 38, Iss. 6, pp. 1-19
Closed Access | Times Cited: 222

CvxNet: Learnable Convex Decomposition
Boyang Deng, Kyle Genova, Soroosh Yazdani, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 31-41
Open Access | Times Cited: 213

Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
Ji Hou, Benjamin Graham, Matthias Niesner, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 199

Weakly Supervised Semantic Point Cloud Segmentation: Towards 10× Fewer Labels
Xun Xu, Gim Hee Lee
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 197

3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation
Francis Engelmann, Martin Bokeloh, Alireza Fathi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 194

Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
Bo Yang, Jianan Wang, Ronald Clark, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 174

SoftGroup for 3D Instance Segmentation on Point Clouds
Thang Vu, Kookhoi Kim, Tung M. Luu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 164

DeepGCNs: Making GCNs Go as Deep as CNNs
Guohao Li, Matthias Mueller, Guocheng Qian, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 45, Iss. 6, pp. 6923-6939
Open Access | Times Cited: 160

Deep Generative Models in Engineering Design: A Review
Lyle Regenwetter, Amin Heyrani Nobari, Faez Ahmed
Journal of Mechanical Design (2022) Vol. 144, Iss. 7
Open Access | Times Cited: 158

A Survey of Embodied AI: From Simulators to Research Tasks
Jiafei Duan, Samson Yu Bai Jian, Hui Li Tan, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 6, Iss. 2, pp. 230-244
Open Access | Times Cited: 157

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