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[1] Yan Lu,et al. MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization , 2018, AAAI.
[2] 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.
[3] Bo Li,et al. SECOND: Sparsely Embedded Convolutional Detection , 2018, Sensors.
[4] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Sanja Fidler,et al. 3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Ji Wan,et al. Multi-view 3D Object Detection Network for Autonomous Driving , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Leonidas J. Guibas,et al. Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Kaiming He,et al. Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Shaojie Shen,et al. Stereo R-CNN Based 3D Object Detection for Autonomous Driving , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Bin Yang,et al. Multi-Task Multi-Sensor Fusion for 3D Object Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Roberto Cipolla,et al. Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[12] Shaojie Shen,et al. Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving , 2018, ECCV.
[13] 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).
[14] Zhixin Wang,et al. Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[15] Leonidas J. Guibas,et al. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space , 2017, NIPS.
[16] Bo Li,et al. 3D fully convolutional network for vehicle detection in point cloud , 2016, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[17] James M. Rehg,et al. 3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[18] Andreas Geiger,et al. Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios? , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[19] Kaiming He,et al. Mask R-CNN , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[20] 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.
[21] Yan Wang,et al. Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Bin Yang,et al. Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[23] Jana Kosecka,et al. 3D Bounding Box Estimation Using Deep Learning and Geometry , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] 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).
[26] Konrad Schindler,et al. Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[27] 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).
[28] Bin Yang,et al. Deep Continuous Fusion for Multi-sensor 3D Object Detection , 2018, ECCV.
[29] Dushyant Rao,et al. Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[30] Andreas Geiger,et al. Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Sanja Fidler,et al. Monocular 3D Object Detection for Autonomous Driving , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Danfei Xu,et al. PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[33] Bin Yang,et al. PIXOR: Real-time 3D Object Detection from Point Clouds , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[34] Zengyi Qin,et al. Triangulation Learning Network: From Monocular to Stereo 3D Object Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Steven L. Waslander,et al. Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Bin Xu,et al. Multi-level Fusion Based 3D Object Detection from Monocular Images , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[37] Tian Xia,et al. Vehicle Detection from 3D Lidar Using Fully Convolutional Network , 2016, Robotics: Science and Systems.
[38] 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).
[39] Thierry Chateau,et al. Deep MANTA: A Coarse-to-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis from Monocular Image , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).