SurfaceNet: A Surface Focused Network for Pedestrian Detection and Segmentation in 3D Point Clouds
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Xing Zhang | Yulan Guo | Minglin Chen | Yongcong Zhang | Sheng Ao | Yulan Guo | Sheng Ao | Minglin Chen | Yongcong Zhang | Xing Zhang
[1] Yin Zhou,et al. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[2] Michael Felsberg,et al. Deep Projective 3D Semantic Segmentation , 2017, CAIP.
[3] Sanja Fidler,et al. Monocular 3D Object Detection for Autonomous Driving , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Leonidas J. Guibas,et al. Frustum PointNets for 3D Object Detection from RGB-D Data , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[5] George Papandreou,et al. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.
[6] Bin Yang,et al. PIXOR: Real-time 3D Object Detection from Point Clouds , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[7] Nuno Vasconcelos,et al. Learning Complexity-Aware Cascades for Pedestrian Detection , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[9] Jiong Yang,et al. PointPillars: Fast Encoders for Object Detection From Point Clouds , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Andrea Simonelli,et al. Disentangling Monocular 3D Object Detection , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[11] Li Liu,et al. Deep Learning for 3D Point Clouds: A Survey , 2020, IEEE transactions on pattern analysis and machine intelligence.
[12] Xiaogang Wang,et al. PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Yichen Wei,et al. Simple Baselines for Human Pose Estimation and Tracking , 2018, ECCV.
[14] Xingyi Zhou,et al. Objects as Points , 2019, ArXiv.
[15] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[16] Ji Wan,et al. Multi-view 3D Object Detection Network for Autonomous Driving , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Andreas Geiger,et al. Vision meets robotics: The KITTI dataset , 2013, Int. J. Robotics Res..
[18] Bo Yang,et al. RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[19] George Papandreou,et al. Rethinking Atrous Convolution for Semantic Image Segmentation , 2017, ArXiv.
[20] Steven Lake Waslander,et al. Joint 3D Proposal Generation and Object Detection from View Aggregation , 2017, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[21] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Xiaoyong Shen,et al. STD: Sparse-to-Dense 3D Object Detector for Point Cloud , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[23] Leonidas J. Guibas,et al. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Leonidas J. Guibas,et al. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space , 2017, NIPS.