The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
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Cites
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
Geometric Deep Learning: Going beyond Euclidean data
Bronstein, M. M., Bruna, J., LeCun, Y., Szlam, A., & Vandergheynst, P. (2017) · IEEE Signal Processing Magazine · doi:10.1109/msp.2017.2693418 · Cited by 3,661
Geodesic Convolutional Neural Networks on Riemannian Manifolds
Masci, J., Boscaini, D., Bronstein, M. M., & Vandergheynst, P. (2015) · 2015 IEEE International Conference on Computer Vision Workshop (ICCVW) · doi:10.1109/iccvw.2015.112 · Cited by 721
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
Yi, L., Su, H., Guo, X., & Guibas, L. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.697 · Cited by 461
Cited by
KPConv: Flexible and Deformable Convolution for Point Clouds
Thomas, H., Qi, C. R., Deschaud, J.-E., Marcotegui, B., Goulette, F., & Guibas, L. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00651 · Cited by 3,212
Deep Hough Voting for 3D Object Detection in Point Clouds
Qi, C. R., Litany, O., He, K., & Guibas, L. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00937 · Cited by 1,244
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
Yu, X., Tang, L., Rao, Y., Huang, T., Zhou, J., & Lu, J. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.01871 · Cited by 801
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Tang, H., Liu, Z., Zhao, S., Lin, Y., Lin, J., Wang, H., & Han, S. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-58604-1_41 · Cited by 733
GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping
Fang, H.-S., Wang, C., Gou, M., & Lu, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr42600.2020.01146 · Cited by 683
Metadata
- Authors
- Xu, Y., Fan, T., Xu, M., Zeng, L., & Qiao, Y.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2018
- Pages
- 90-105
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2963158438
- Cited by
- 840
- References
- 4
- FWCI
- 136.02
- Type
- conference paper
- Language
- en
- Open access
- green
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- Xu, Y., Fan, T., Xu, M., Zeng, L., & Qiao, Y. (2018). SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-01237-3_6
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