Stereo R-CNN Based 3D Object Detection for Autonomous Driving
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[1] 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).
[2] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Alex Kendall,et al. End-to-End Learning of Geometry and Context for Deep Stereo Regression , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[4] Shaojie Shen,et al. Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving , 2018, ECCV.
[5] 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).
[6] Ross B. Girshick,et al. Mask R-CNN , 2017, 1703.06870.
[7] Jana Kosecka,et al. 3D Bounding Box Estimation Using Deep Learning and Geometry , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Yann LeCun,et al. Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches , 2015, J. Mach. Learn. Res..
[9] Sanja Fidler,et al. 3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] 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.
[11] 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.
[12] 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.
[13] Yong-Sheng Chen,et al. Pyramid Stereo Matching Network , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[14] 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.
[15] 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.
[16] Kaiming He,et al. Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Tian Xia,et al. Vehicle Detection from 3D Lidar Using Fully Convolutional Network , 2016, Robotics: Science and Systems.
[18] Ingmar Posner,et al. Voting for Voting in Online Point Cloud Object Detection , 2015, Robotics: Science and Systems.
[19] 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.
[20] 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).
[21] 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.
[22] Bin Yang,et al. PIXOR: Real-time 3D Object Detection from Point Clouds , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[23] 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.
[24] Bin Yang,et al. Deep Continuous Fusion for Multi-sensor 3D Object Detection , 2018, ECCV.
[25] Sanja Fidler,et al. Monocular 3D Object Detection for Autonomous Driving , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] 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.
[27] Ji Wan,et al. Multi-view 3D Object Detection Network for Autonomous Driving , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] 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).
[29] K. Madhava Krishna,et al. Reconstructing Vechicles from a Single Image: Shape Priors for Road Scene Understanding , 2016, ArXiv.
[30] 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).
[31] Heiko Hirschmüller,et al. Stereo Processing by Semiglobal Matching and Mutual Information , 2008, IEEE Trans. Pattern Anal. Mach. Intell..