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LiDAR point cloud analysis is a core task for 3D computer vision, especially for autonomous driving.
PointRNN: Point recurrent neural network for moving point cloud processing
Fan, H.; and Yang, Y. 2019 · 1910
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Alonso, I.; Riazuelo, L.; Montesano, L.; and Murillo, A. C. 2020 · 2002
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3D Gated Recurrent Fusion for Semantic Scene Completion
Liu, Y.; Li, J.; Yan, Q.; Yuan, X.; Zhao, C.; Reid, I.; and Cadena, C. 2020 · 2002
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SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances
Pan, Y.; Gao, B.; Mei, J.; Geng, S.; Li, C.; and Zhao, H. 2020 · 2002
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Squeezesegv3: Spatially-adaptive convolution for efficient point-cloud segmentation
Xu, C.; Wu, B.; Wang, Z.; Zhan, W.; Vajda, P.; Keutzer, K.; and Tomizuka, M. 2020 · 2004
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U-net: Convolutional networks for biomedical image segmentation
Ronneberger, O.; Fischer, P.; and Brox, T. 2015 · 2015
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3d semantic parsing of large-scale indoor spaces
Armeni, I.; Sener, O.; Zamir, A. R.; Jiang, H.; Brilakis, I.; Fischer, M.; and Savarese, S. 2016 · 2016
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Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks
Boulch, A.; Le Saux, B.; and Audebert, N. 2017 · 2017
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
Dai, A.; Chang, A. X.; Savva, M.; Halber, M.; Funkhouser, T.; and Nießner, M. 2017 · 2017
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Submanifold sparse convolutional networks
Graham, B.; and van der Maaten, L. 2017 · 2017
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Semantic3d. net: A new large-scale point cloud classification benchmark
Hackel, T.; Savinov, N.; Ladicky, L.; Wegner, J. D.; Schindler, K.; and Pollefeys, M. 2017 · 2017
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High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference
Han, X.; Li, Z.; Huang, H.; Kalogerakis, E.; and Yu, Y. 2017 · 2017
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Deep projective 3D semantic segmentation
Lawin, F. J.; Danelljan, M.; Tosteberg, P.; Bhat, G.; Khan, F. S.; and Felsberg, M. 2017 · 2017
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Octnet: Learning deep 3d representations at high resolutions
Riegler, G.; Osman Ulusoy, A.; and Geiger, A. 2017 · 2017
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Semantic scene completion from a single depth image
Song, S.; Yu, F.; Zeng, A.; Chang, A. X.; Savva, M.; and Funkhouser, T. 2017 · 2017
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O-cnn: Octree-based convolutional neural networks for 3d shape analysis
Wang, P.-S.; Liu, Y.; Guo, Y.-X.; Sun, C.-Y.; and Tong, X. 2017 · 2017
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ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
Dai, A.; Ritchie, D.; Bokeloh, M.; Reed, S.; Sturm, J.; and Niener, M. 2018 · 2018
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3d semantic segmentation with submanifold sparse convolutional networks
Graham, B.; Engelcke, M.; and van der Maaten, L. 2018 · 2018
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Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
Kendall, A.; Gal, Y.; and Cipolla, R. 2018 · 2018
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Large-scale point cloud semantic segmentation with superpoint graphs
MeteorNet: Deep learning on dynamic 3D point cloud sequences
Liu, X.; Yan, M.; and Bohg, J. 2019 · 2019
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Rangenet++: Fast and accurate lidar semantic segmentation
Milioto, A.; Vizzo, I.; Behley, J.; and Stachniss, C. 2019 · 2019
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JSIS3D: joint semantic-instance segmentation of 3d point clouds with multi-task pointwise networks and multi-value conditional random fields
Pham, Q.-H.; Nguyen, T.; Hua, B.-S.; Roig, G.; and Yeung, S.-K. 2019 · 2019
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KPConv: Flexible and Deformable Convolution for Point Clouds
Thomas, H.; Qi, C. R.; Deschaud, J.-E.; Marcotegui, B.; Goulette, F.; and Guibas, L. J. 2019 · 2019
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Squeezesegv2: Improved model structure and unsupervised domain adaptation for road-object segmentation from a lidar point cloud
Wu, B.; Zhou, X.; Zhao, S.; Yue, X.; and Keutzer, K. 2019 · 2019
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Landrieu, L.; and Simonovsky, M. 2018 · 2018
Cited alongside, same era.
See and think: Disentangling semantic scene completion
Liu, S.; Hu, Y.; Zeng, Y.; Tang, Q.; Jin, B.; Han, Y.; and Li, X. 2018 · 2018
Cited alongside, same era.
Tangent convolutions for dense prediction in 3d
Tatarchenko, M.; Park, J.; Koltun, V.; and Zhou, Q.-Y. 2018 · 2018
Cited alongside, same era.
Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud
Wu, B.; Wan, A.; Yue, X.; and Keutzer, K. 2018 · 2018
Cited alongside, same era.
Efficient Semantic Scene Completion Network with Spatial Group Convolution
Zhang, J.; Zhao, H.; Yao, A.; Chen, Y.; and Zhang, L. 2018 · 2018
Cited alongside, same era.
SemanticKITTI: A dataset for semantic scene understanding of lidar sequences
Behley, J.; Garbade, M.; Milioto, A.; Quenzel, J.; Behnke, S.; Stachniss, C.; and Gall, J. 2019 · 2019
Cited alongside, same era.
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
Choy, C.; Gwak, J.; and Savarese, S. 2019 · 2019
Cited alongside, same era.
Pointconv: Deep convolutional networks on 3d point clouds
Wu, W.; Qi, Z.; and Fuxin, L. 2019 · 2019
Later among the works it cites.
OccuSeg: Occupancy-aware 3D Instance Segmentation
Han, L.; Zheng, T.; Xu, L.; and Fang, L. 2020 · 2020
Closest in time.
RandLA-Net: Efficient semantic segmentation of large-scale point clouds
Hu, Q.; Yang, B.; Xie, L.; Rosa, S.; Guo, Y.; Wang, Z.; Trigoni, N.; and Markham, A. 2020 · 2020
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SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds
Shi, H.; Lin, G.; Wang, H.; Hung, T.-Y.; and Wang, Z. 2020 · 2020
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Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Tang, H.; Liu, Z.; Zhao, S.; Lin, Y.; Lin, J.; Wang, H.; and Han, S. 2020 · 2020
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Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds
Wei, J.; Lin, G.; Yap, K.-H.; Hung, T.-Y.; and Xie, L. 2020 · 2020
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PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling
Yan, X.; Zheng, C.; Li, Z.; Wang, S.; and Cui, S. 2020 · 2020
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PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
Zhang, Y.; Zhou, Z.; David, P.; Yue, X.; Xi, Z.; Gong, B.; and Foroosh, H. 2020 · 2020
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