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LiDAR-based semantic perception tasks are critical yet challenging for autonomous driving.
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe and Christian Szegedy · 2015
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Decoupled Weight Decay Regularization
Ilya Loshchilov and Frank Hutter · 2017
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Charles R. Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas · 2017
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Attention is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
Benjamin Graham, Martin Engelcke, and Laurens Van Der Maaten · 2018
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Tangent Convolutions for Dense Prediction in 3D
Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, and Qian-Yi Zhou · 2018
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Context Encoding for Semantic Segmentation
Hang Zhang, Kristin Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, and Amit Agrawal · 2018
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SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, and Jurgen Gall · 2019
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4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
Christopher Choy, JunYoung Gwak, and Silvio Savarese · 2019
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FlowNet3D: Learning Scene Flow in 3D Point Clouds
Xingyu Liu, Charles R Qi, and Leonidas J Guibas · 2019
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MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences
Xingyu Liu, Mengyuan Yan, and Jeannette Bohg · 2019
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KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, Francois Goulette, and Leonidas J. Guibas · 2019
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nuScenes: A Multimodal Dataset for Autonomous Driving
Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
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ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation
Hanwen Cao, Yongyi Lu, Cewu Lu, Bo Pang, Gongshen Liu, and Alan Yuille · 2020
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DeepTemporalSeg: Temporally Consistent Semantic Segmentation of 3D LiDAR Scans
Ayush Dewan and Wolfram Burgard · 2020
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LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment
Fabian Duerr, Mario Pfaller, Hendrik Weigel, and Jürgen Beyerer · 2020
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RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, and Andrew Markham · 2020
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An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds
Rui Huang, Wanyue Zhang, Abhijit Kundu, Caroline Pantofaru, David A Ross, Thomas Funkhouser, and Alireza Fathi · 2020
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Real-time Spatial-temporal Context Approach for 3D Object Detection using LiDAR
K. Kumar and Samir Al-Stouhi · 2020
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MoNet: Motion-based Point Cloud Prediction Network
Fan Lu, Guang Chen, Yinlong Liu, Zhijun Li, Sanqing Qu, and Tianpei Zou · 2020
Cited alongside, same era.
3D Object Detection For Autonomous Driving Using Temporal Lidar Data
Scott McCrae and Avideh Zakhor · 2020
Cited alongside, same era.
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
Gilles Puy, Alexandre Boulch, and Renaud Marlet · 2020
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Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
Shi Qiu, Saeed Anwar, and Nick Barnes · 2021
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Anchor-Based Spatio-Temporal Attention 3D Convolutional Networks for Dynamic 3D Point Cloud Sequences
Guangming Wang, Hanwen Liu, Muyao Chen, Yehui Yang, Zhe Liu, and Hesheng Wang · 2021
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Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, and Shuguang Cui · 2021
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TPCN: Temporal Point Cloud Networks for Motion Forecasting
Maosheng Ye, Tongyi Cao, and Qifeng Chen · 2021
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DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation
Maosheng Ye, Shuangjie Xu, Tongyi Cao, and Qifeng Chen · 2021
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DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR
Rishav Rishav, Ramy Battrawy, René Schuster, Oliver Wasenmüller, and Didier Stricker · 2020
Cited alongside, same era.
SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds
Hanyu Shi, Guosheng Lin, Hao Wang, Tzu-Yi Hung, and Zhenhua Wang · 2020
Cited alongside, same era.
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, and Song Han · 2020
Cited alongside, same era.
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps
Pengxiang Wu, Siheng Chen, and Dimitris N Metaxas · 2020
Cited alongside, same era.
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, and Masayoshi Tomizuka · 2020
Cited alongside, same era.
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
Yang Zhang, Zixiang Zhou, Philip David, Xiangyu Yue, Zerong Xi, Boqing Gong, and Hassan Foroosh · 2020
Cited alongside, same era.
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds
Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, and Vijay Vasudevan · 2020
Cited alongside, same era.
Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection for Autonomous Driving
Zhenxun Yuan, Xiao Song, Lei Bai, Zhe Wang, and Wanli Ouyang · 2021
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Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception
Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Wei Li, Yuexin Ma, Hongsheng Li, Ruigang Yang, and Dahua Lin · 2021
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Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Yuexin Ma, Wei Li, Hongsheng Li, and Dahua Lin · 2021
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Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking
Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado, Lubing Zhou, Holger Caesar, Oscar Beijbom, and Abhinav Valada · 2022
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Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation
Yuenan Hou, Xinge Zhu, Yuexin Ma, Chen Change Loy, and Yikang Li · 2022
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CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation
Xiaoyan Li, Gang Zhang, Hongyu Pan, and Zhenhua Wang · 2022
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Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions
Benedikt Mersch, Xieyuanli Chen, Ignacio Vizzo, Lucas Nunes, Jens Behley, and Cyrill Stachniss · 2022
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Abstract Flow for Temporal Semantic Segmentation on the Permutohedral Lattice
Peer Schutt, Radu Alexandru Rosu, and Sven Behnke · 2022
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TorchSparse: Efficient Point Cloud Inference Engine
Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, and Song Han · 2022
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Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation
Song Wang, Jianke Zhu, and Ruixiang Zhang · 2022
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4D-StOP: Panoptic Segmentation of 4D LiDAR Using Spatio-Temporal Object Proposal Generation and Aggregation
Lars Kreuzberg, Idil Esen Zulfikar, Sabarinath Mahadevan, Francis Engelmann, and Bastian Leibe · 2023
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