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Recently, graph-based and Transformer-based deep learning networks have demonstrated excellent performances on various point cloud tasks.
A novel graph-based fisher kernel method for semi-supervised learning
Rozza, A, Manzo, M, Petrosino, A · 2014
Earlier work this paper cites.
Attention is all you need
Vaswani, A, Shazeer, N, Parmar, N, Uszkoreit, J, Jones, L, Gomez, AN, et al · 2017
Earlier work this paper cites.
Mining point cloud local structures by kernel correlation and graph pooling
Shen, Y, Feng, C, Yang, Y, Tian, D · 2018
Earlier work this paper cites.
Attentional shapecontextnet for point cloud recognition
Xie, S, Liu, S, Chen, Z, Tu, Z · 2018
Earlier work this paper cites.
Large-scale point cloud semantic segmentation with superpoint graphs
Landrieu, L, Simonovsky, M · 2018
Earlier work this paper cites.
Dynamic graph cnn for learning on point clouds
Wang, Y, Sun, Y, Liu, Z, Sarma, SE, Bronstein, MM, Solomon, JM · 2019
Earlier work this paper cites.
Tgnet: Geometric graph cnn on 3-d point cloud segmentation
Li, Y, Ma, L, Zhong, Z, Cao, D, Li, J · 2019
Earlier work this paper cites.
Point cloud oversegmentation with graph-structured deep metric learning
Landrieu, L, Boussaha, M · 2019
Earlier work this paper cites.
Clusternet: Deep hierarchical cluster network with rigorously rotation-invariant representation for point cloud analysis
Chen, C, Li, G, Xu, R, Chen, T, Wang, M, Lin, L · 2019
Earlier work this paper cites.
Graph transformer networks
Yun, S, Jeong, M, Kim, R, Kang, J, Kim, HJ · 2019
Earlier work this paper cites.
Modeling point clouds with self-attention and gumbel subset sampling
Yang, J, Zhang, Q, Ni, B, Li, L, Liu, J, Zhou, M, et al · 2019
Earlier work this paper cites.
Dynamic graph convolutional networks
Manessi, F, Rozza, A, Manzo, M · 2020
Earlier work this paper cites.
Convolution in the cloud: Learning deformable kernels in 3d graph convolution networks for point cloud analysis
Lin, ZH, Huang, SY, Wang, YCF · 2020
Earlier work this paper cites.
Pointasnl: Robust point clouds processing using nonlocal neural networks with adaptive sampling
Yan, X, Zheng, C, Li, Z, Wang, S, Cui, S · 2020
Earlier work this paper cites.
Hapgn: Hierarchical attentive pooling graph network for point cloud segmentation
Chen, C, Qian, S, Fang, Q, Xu, C · 2020
Earlier work this paper cites.
An image is worth 16x16 words: Transformers for image recognition at scale
Dosovitskiy, A, Beyer, L, Kolesnikov, A, Weissenborn, D, Zhai, X, Unterthiner, T, et al · 2021
Earlier work this paper cites.
Cloud transformers: A universal approach to point cloud processing tasks
Mazur, K, Lempitsky, V · 2021
Cited alongside, same era.
Gapointnet: Graph attention based point neural network for exploiting local feature of point cloud
Chen, C, Fragonara, LZ, Tsourdos, A · 2021
Cited alongside, same era.
3d object detection with pointformer
Pan, X, Xia, Z, Song, S, Li, LE, Huang, G · 2021
Cited alongside, same era.
Voxel transformer for 3d object detection
Mao, J, Xue, Y, Niu, M, Bai, H, Feng, J, Liang, X, et al · 2021
Cited alongside, same era.
Pct: Point cloud transformer
Guo, MH, Cai, JX, Liu, ZN, Mu, TJ, Martin, RR, Hu, SM · 2021
Cited alongside, same era.
Swin transformer: Hierarchical vision transformer using shifted windows
Liu, Z, Lin, Y, Cao, Y, Hu, H, Wei, Y, Zhang, Z, et al · 2021
Cited alongside, same era.
Pointnext: Revisiting pointnet++ with improved training and scaling strategies
Qian, G, Li, Y, Peng, H, Mai, J, Hammoud, H, Elhoseiny, M, et al · 2022
Later among the works it cites.
Surface representation for point clouds
Ran, H, Liu, J, Wang, C · 2022
Later among the works it cites.
Multi point-voxel convolution (mpvconv) for deep learning on point clouds
Zhou, W, Zhang, X, Hao, X, Wang, D, He, Y · 2023
Closest in time.
Sat-gcn: Self-attention graph convolutional network-based 3d object detection for autonomous driving
Wang, L, Song, Z, Zhang, X, Wang, C, Zhang, G, Zhu, L, et al · 2023
Closest in time.
Dynamic graph transformer for 3d object detection
Ren, S, Pan, X, Zhao, W, Nie, B, Han, B · 2023
Closest in time.
Revisiting transformer for point cloud-based 3d scene graph generation
Lv, C, Qi, M, Li, X, Yang, Z, Ma, H · 2023
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Fatnet: A feature-attentive network for 3d point cloud processing
Kaul, C, Pears, N, Manandhar, S · 2021
Cited alongside, same era.
Dual-graph attention convolution network for 3-d point cloud classification
Huang, CQ, Jiang, F, Huang, QH, Wang, XZ, Han, ZM, Huang, WY · 2022
Cited alongside, same era.
Upu-dgtnet: Dynamic graph transformer network for unsupervised point cloud upsampling
Deng, L, Han, B, Ren, S · 2022
Cited alongside, same era.
Fast point transformer
Park, C, Jeong, Y, Cho, M, Park, J · 2022
Cited alongside, same era.
Voxel set transformer: A set-to-set approach to 3d object detection from point clouds
He, C, Li, R, Li, S, Zhang, L · 2022
Cited alongside, same era.
Embracing single stride 3d object detector with sparse transformer
Fan, L, Pang, Z, Zhang, T, Wang, YX, Zhao, H, Wang, F, et al · 2022
Cited alongside, same era.
Closest in time.
Agconv: Adaptive graph convolution on 3d point clouds
Wei, M, Wei, Z, Zhou, H, Hu, F, Si, H, Chen, Z, et al · 2023
Closest in time.
Masked autoencoder for self-supervised pre-training on lidar point clouds
Hess, G, Jaxing, J, Svensson, E, Hagerman, D, Petersson, C, Svensson, L · 2023
Closest in time.
Mv-jar: Masked voxel jigsaw and reconstruction for lidar-based self-supervised pre-training
Xu, R, Wang, T, Zhang, W, Chen, R, Cao, J, Pang, J, et al · 2023
Closest in time.
Residual learning with annularly convolutional neural networks for classification and segmentation of 3d point clouds
Hassan, R, Fraz, M, Rajput, A, Shahzad, M · 2023
Closest in time.
Attention-based point cloud edge sampling
Wu, C, Zheng, J, Pfrommer, J, Beyerer, J · 2023
Closest in time.
A probability-driven framework for open world 3d point cloud semantic segmentation
Xu, J, Yang, S, Li, X, Tang, Y, Hao, Y, Hu, L, et al · 2024
Closest in time.
Point cloud pre-training with diffusion models
Zheng, X, Huang, X, Mei, G, Hou, Y, Lyu, Z, Dai, B, et al · 2024
Closest in time.
Classification of typical static objects in road scenes based on lo-net
Li, Y, Wu, J, Liu, H, Ren, J, Xu, Z, Zhang, J, et al · 2024
Closest in time.
Pmmnet: A dual branch fusion network of point cloud and multi-view for intracranial aneurysm classification and segmentation
Cao, R, Zhang, D, Wei, P, Ding, Y, Zheng, C, Tan, D, et al · 2024
Closest in time.