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In this paper, we propose PointRCNN for 3D object detection from raw point cloud.
Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Single image 3d object detection and pose estimation for grasping
Menglong Zhu, Konstantinos G Derpanis, Yinfei Yang, Samarth Brahmbhatt, Mabel Zhang, Cody Phillips, Matthieu Lecce, and Kostas Daniilidis · 2014
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3d object proposals for accurate object class detection
Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Andrew G Berneshawi, Huimin Ma, Sanja Fidler, and Raquel Urtasun · 2015
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Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
Jifeng Dai, Kaiming He, and Jian Sun · 2015
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Fast r-cnn
Ross Girshick · 2015
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Voxnet: A 3d convolutional neural network for real-time object recognition
Daniel Maturana and Sebastian Scherer · 2015
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A coarse-to-fine model for 3d pose estimation and sub-category recognition
Roozbeh Mottaghi, Yu Xiang, and Silvio Savarese · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Multi-view convolutional neural networks for 3d shape recognition
Hang Su, Subhransu Maji, Evangelos Kalogerakis, and Erik Learned-Miller · 2015
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3d-assisted feature synthesis for novel views of an object
Hao Su, Fan Wang, Eric Yi, and Leonidas J Guibas · 2015
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Monocular 3d object detection for autonomous driving
Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler, and Raquel Urtasun · 2016
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Instance-aware semantic segmentation via multi-task network cascades
Jifeng Dai, Kaiming He, and Jian Sun · 2016
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What makes for effective detection proposals?
Jan Hosang, Rodrigo Benenson, Piotr Dollár, and Bernt Schiele · 2016
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Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
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Volumetric and multi-view cnns for object classification on 3d data
Charles R Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, and Leonidas J Guibas · 2016
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
Cited alongside, same era.
Deep sliding shapes for amodal 3d object detection in rgb-d images
Shuran Song and Jianxiong Xiao · 2016
Cited alongside, same era.
Deep manta: A coarse-to-fine many-task network for joint 2d and 3d vehicle analysis from monocular image
Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, and Thierry Chateau · 2017
Cited alongside, same era.
Multi-view 3d object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, and Tian Xia · 2017
Cited alongside, same era.
Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Cited alongside, same era.
Joint 3d proposal generation and object detection from view aggregation
Pointfusion: Deep sensor fusion for 3d bounding box estimation
Danfei Xu, Dragomir Anguelov, and Ashesh Jain · 2017
Later among the works it cites.
Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2017
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3d semantic segmentation with submanifold sparse convolutional networks
Benjamin Graham, Martin Engelcke, and Laurens van der Maaten · 2018
Closest in time.
Recurrent slice networks for 3d segmentation of point clouds
Qiangui Huang, Weiyue Wang, and Ulrich Neumann · 2018
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Pointsift: A sift-like network module for 3d point cloud semantic segmentation
Mingyang Jiang, Yiran Wu, and Cewu Lu · 2018
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Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, and Steven Lake Waslander · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
Cited alongside, same era.
Sgn: Sequential grouping networks for instance segmentation
Shu Liu, Jiaya Jia, Sanja Fidler, and Raquel Urtasun · 2017
Cited alongside, same era.
3d bounding box estimation using deep learning and geometry
Arsalan Mousavian, Dragomir Anguelov, John Flynn, and Jana Košecká · 2017
Cited alongside, same era.
Frustum pointnets for 3d object detection from RGB-D data
Charles Ruizhongtai Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J. Guibas · 2017
Cited alongside, same era.
Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
Cited alongside, same era.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
Cited alongside, same era.
Deep continuous fusion for multi-sensor 3d object detection
Ming Liang, Bin Yang, Shenlong Wang, and Raquel Urtasun · 2018
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Focal loss for dense object detection
Tsung-Yi Lin, Priyal Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2018
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Yolov3: An incremental improvement
Joseph Redmon and Ali Farhadi · 2018
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Multi-level fusion based 3d object detection from monocular images
Bin Xu and Zhenzhong Chen · 2018
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Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
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Hdnet: Exploiting hd maps for 3d object detection
Bin Yang, Ming Liang, and Raquel Urtasun · 2018
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Pixor: Real-time 3d object detection from point clouds
Bin Yang, Wenjie Luo, and Raquel Urtasun · 2018
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Gs3d: An efficient 3d object detection framework for autonomous driving
Buyu Li, Wanli Ouyang, Lu Sheng, Xingyu Zeng, and Xiaogang Wang · 2019
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Feature Intertwiner for Object Detection
Hongyang Li, Bo Dai, Shaoshuai Shi, Wanli Ouyang, and Xiaogang Wang · 2019
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