Multi-View Reprojection Architecture for Orientation Estimation
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[1] 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).
[2] 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.
[3] 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).
[4] C. Qi. Deep Learning on Point Sets for 3 D Classification and Segmentation , 2016 .
[5] Silvio Savarese,et al. Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection , 2016, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).
[6] 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).
[7] 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.
[8] Yan Lu,et al. MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization , 2018, AAAI.
[9] Jae Wook Jeon,et al. Robust object proposals re-ranking for object detection in autonomous driving using convolutional neural networks , 2017, Signal Process. Image Commun..
[10] Adrien Gaidon,et al. ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Marius Leordeanu,et al. Shift R-CNN: Deep Monocular 3D Object Detection With Closed-Form Geometric Constraints , 2019, 2019 IEEE International Conference on Image Processing (ICIP).
[12] Jianping An,et al. Voxel-FPN: multi-scale voxel feature aggregation in 3D object detection from point clouds , 2019, ArXiv.
[13] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[14] Silvio Savarese,et al. Data-driven 3D Voxel Patterns for object category recognition , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[16] Pascal Fua,et al. Real-Time Seamless Single Shot 6D Object Pose Prediction , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[17] Xiaogang Wang,et al. GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[18] 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.
[19] Jana Kosecka,et al. 3D Bounding Box Estimation Using Deep Learning and Geometry , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] 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.
[21] Sanja Fidler,et al. Monocular 3D Object Detection for Autonomous Driving , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Xiaoming Liu,et al. M3D-RPN: Monocular 3D Region Proposal Network for Object Detection , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[23] Roberto Cipolla,et al. Orthographic Feature Transform for Monocular 3D Object Detection , 2018, BMVC.
[24] 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.
[25] Nassir Navab,et al. SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[26] Kris Kitani,et al. Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).
[27] Christopher Zach,et al. Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss , 2019, ArXiv.
[28] Andrea Simonelli,et al. Disentangling Monocular 3D Object Detection , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[29] 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).
[30] 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).
[31] 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).
[32] Haojie Li,et al. Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[33] Stefano Soatto,et al. Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors , 2019, AAAI.