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Existing deep learning-based approaches for monocular 3D object detection in autonomous driving often model the object as a rotated 3D cuboid while the object's geometric shape has been ignored.
Accurate and efficient stereo processing by semi-global matching and mutual information
Heiko Hirschmuller · 2005
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Epnp: An accurate o (n) solution to the pnp problem
Vincent Lepetit, Francesc Moreno-Noguer, and Pascal Fua · 2009
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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On modeling ego-motion uncertainty for moving object detection from a mobile platform
Dingfu Zhou, Vincent Frémont, Benjamin Quost, and Bihao Wang · 2014
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Object scene flow for autonomous vehicles
Moritz Menze and Andreas Geiger · 2015
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Temporal ensembling for semi-supervised learning
Samuli Laine and Timo Aila · 2016
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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 Teuliere, and Thierry Chateau · 2017
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3d bounding box estimation using deep learning and geometry
Arsalan Mousavian, Dragomir Anguelov, John Flynn, and Jana Kosecka · 2017
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Neural 3d mesh renderer
Hiroharu Kato, Yoshitaka Ushiku, and Tatsuya Harada · 2018
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3d-rcnn: Instance-level 3d object reconstruction via render-and-compare
Abhijit Kundu, Yin Li, and James M Rehg · 2018
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Deep layer aggregation
Fisher Yu, Dequan Wang, Evan Shelhamer, and Trevor Darrell · 2018
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Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
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M3d-rpn: Monocular 3d region proposal network for object detection
Garrick Brazil and Xiaoming Liu · 2019
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Digging into self-supervised monocular depth estimation
Clément Godard, Oisin Mac Aodha, Michael Firman, and Gabriel J Brostow · 2019
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Monocular 3d object detection leveraging accurate proposals and shape reconstruction
Jason Ku, Alex D Pon, and Steven L Waslander · 2019
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Pointpillars: Fast encoders for object detection from point clouds
Alex H Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
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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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Stereo r-cnn based 3d object detection for autonomous driving
Peiliang Li, Xiaozhi Chen, and Shaojie Shen · 2019
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Soft rasterizer: A differentiable renderer for image-based 3d reasoning
Shichen Liu, Tianye Li, Weikai Chen, and Hao Li · 2019
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Accurate monocular 3d object detection via color-embedded 3d reconstruction for autonomous driving
Xinzhu Ma, Zhihui Wang, Haojie Li, Pengbo Zhang, Wanli Ouyang, and Xin Fan · 2019
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Roi-10d: Monocular lifting of 2d detection to 6d pose and metric shape
Fabian Manhardt, Wadim Kehl, and Adrien Gaidon · 2019
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Amodal instance segmentation with kins dataset
Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 2019
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Pointrcnn: 3d object proposal generation and detection from point cloud
Smoke: single-stage monocular 3d object detection via keypoint estimation
Zechen Liu, Zizhang Wu, and Roland Tóth · 2020
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Permo: Perceiving more at once from a single image for autonomous driving
Feixiang Lu, Zongdai Liu, Xibin Song, Dingfu Zhou, Wei Li, Hui Miao, Miao Liao, Liangjun Zhang, Bin Zhou, Ruigang Yang, et al · 2020
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Rethinking pseudo-lidar representation
Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, and Wanli Ouyang · 2020
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End-to-end pseudo-lidar for image-based 3d object detection
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge Belongie, Bharath Hariharan, Mark Campbell, Kilian Q Weinberger, and Wei-Lun Chao · 2020
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Autolabeling 3d objects with differentiable rendering of sdf shape priors
Sergey Zakharov, Wadim Kehl, Arjun Bhargava, and Adrien Gaidon · 2020
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Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2019
Cited alongside, same era.
Apollocar3d: A large 3d car instance understanding benchmark for autonomous driving
Xibin Song, Peng Wang, Dingfu Zhou, Rui Zhu, Chenye Guan, Yuchao Dai, Hao Su, Hongdong Li, and Ruigang Yang · 2019
Cited alongside, same era.
Refinedmpl: Refined monocular pseudolidar for 3d object detection in autonomous driving
Jean Marie Uwabeza Vianney, Shubhra Aich, and Bingbing Liu · 2019
Cited alongside, same era.
Task-aware monocular depth estimation for 3d object detection
Xinlong Wang, Wei Yin, Tao Kong, Yuning Jiang, Lei Li, and Chunhua Shen · 2019
Cited alongside, same era.
Monocular 3d object detection with pseudo-lidar point cloud
Xinshuo Weng and Kris Kitani · 2019
Cited alongside, same era.
Iou loss for 2d/3d object detection
Dingfu Zhou, Jin Fang, Xibin Song, Chenye Guan, Junbo Yin, Yuchao Dai, and Ruigang Yang · 2019
Cited alongside, same era.
Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 2019
Cited alongside, same era.
Joint 3d instance segmentation and object detection for autonomous driving
Dingfu Zhou, Jin Fang, Xibin Song, Liu Liu, Junbo Yin, Yuchao Dai, Hongdong Li, and Ruigang Yang · 2020
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Iafa: Instance-aware feature aggregation for 3d object detection from a single image
Dingfu Zhou, Xibin Song, Yuchao Dai, Junbo Yin, Feixiang Lu, Miao Liao, Jin Fang, and Liangjun Zhang · 2020
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Monorun: Monocular 3d object detection by reconstruction and uncertainty propagation
Hansheng Chen, Yuyao Huang, Wei Tian, Zhong Gao, and Lu Xiong · 2021
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Groomed-nms: Grouped mathematically differentiable nms for monocular 3d object detection
Abhinav Kumar, Garrick Brazil, and Xiaoming Liu · 2021
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Yolostereo3d: A step back to 2d for efficient stereo 3d detection
Yuxuan Liu, Lujia Wang, and Liu Ming · 2021
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Ground-aware monocular 3d object detection for autonomous driving
Yuxuan Liu, Yuan Yixuan, and Ming Liu · 2021
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Delving into localization errors for monocular 3d object detection
Xinzhu Ma, Yinmin Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Haojie Li, and Wanli Ouyang · 2021
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Categorical depth distribution network for monocular 3d object detection
Cody Reading, Ali Harakeh, Julia Chae, and Steven L Waslander · 2021
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Depth-conditioned dynamic message propagation for monocular 3d object detection
Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, and Li Zhang · 2021
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Objects are different: Flexible monocular 3d object detection
Yunpeng Zhang, Jiwen Lu, and Jie Zhou · 2021
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Monocular 3d object detection: An extrinsic parameter free approach
Yunsong Zhou, Yuan He, Hongzi Zhu, Cheng Wang, Hongyang Li, and Qinhong Jiang · 2021
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