Fetching the paper…
Reading the bibliography…
Monocular 3D object detection is an essential task in autonomous driving.
Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
Earlier work this paper cites.
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
Earlier work this paper cites.
Monocular 3d object detection for autonomous driving
Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler, and Raquel Urtasun · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, X. Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
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
Earlier work this paper cites.
3d bounding box estimation using deep learning and geometry
Arsalan Mousavian, Dragomir Anguelov, John Flynn, and Jana Kosecka · 2017
Earlier work this paper cites.
3d-rcnn: Instance-level 3d object reconstruction via render-and-compare
Abhijit Kundu, Yin Li, and James M Rehg · 2018
Earlier work this paper cites.
Orthographic feature transform for monocular 3d object detection
Thomas Roddick, Alex Kendall, and Roberto Cipolla · 2018
Earlier work this paper cites.
Deep layer aggregation
Fisher Yu, Dequan Wang, and Trevor Darrell · 2018
Earlier work this paper cites.
M3d-rpn: Monocular 3d region proposal network for object detection
Garrick Brazil and Xiaoming Liu · 2019
Earlier work this paper cites.
Jiaojiao Fang, Lingtao Zhou, and Guizhong Liu · 2019
Earlier work this paper cites.
Mono3d++: Monocular 3d vehicle detection with two-scale 3d hypotheses and task priors
Tong He and Stefano Soatto · 2019
Earlier work this paper cites.
Stereo r-cnn based 3d object detection for autonomous driving
Peiliang Li, Xiaozhi Chen, and Shaojie Shen · 2019
Earlier work this paper cites.
Deep fitting degree scoring network for monocular 3d object detection
Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, and Jie Zhou · 2019
Earlier work this paper cites.
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
Earlier work this paper cites.
Shift r-cnn: Deep monocular 3d object detection with closed-form geometric constraints
Andretti Naiden, Vlad Paunescu, Gyeongmo Kim, ByeongMoon Jeon, and Marius Leordeanu · 2019
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
Cited alongside, same era.
Monogrnet: A geometric reasoning network for monocular 3d object localization
Zengyi Qin, Jinglu Wang, and Yan Lu · 2019
Cited alongside, same era.
Disentangling monocular 3d object detection
Andrea Simonelli, Samuel Rota Bulo, Lorenzo Porzi, Manuel López-Antequera, and Peter Kontschieder · 2019
Cited alongside, same era.
Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, and Kilian Q Weinberger · 2019
Cited alongside, same era.
Aug3d-rpn: Improving monocular 3d object detection by synthetic images with virtual depth
Chenhang He, Jianqiang Huang, Xian-Sheng Hua, and Lei Zhang · 2021
Later among the works it cites.
Monocular 3d detection with geometric constraint embedding and semi-supervised training
Peixuan Li and Huaici Zhao · 2021
Later among the works it cites.
Autoshape: Real-time shape-aware monocular 3d object detection
Zongdai Liu, Dingfu Zhou, Feixiang Lu, Jin Fang, and Liangjun Zhang · 2021
Later among the works it cites.
M3dssd: Monocular 3d single stage object detector
Shujie Luo, Hang Dai, Ling Shao, and Yong Ding · 2021
Later among the works it cites.
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
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Monocular 3d object detection with pseudo-lidar point cloud
Xinshuo Weng and Kris Kitani · 2019
Cited alongside, same era.
Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 2019
Cited alongside, same era.
Kinematic 3d object detection in monocular video
Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu, and Bernt Schiele · 2020
Cited alongside, same era.
Monopair: Monocular 3d object detection using pairwise spatial relationships
Yongjian Chen, Lei Tai, Kai Sun, and Mingyang Li · 2020
Cited alongside, same era.
Learning depth-guided convolutions for monocular 3d object detection
Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, and Ping Luo · 2020
Cited alongside, same era.
Rtm3d: Real-time monocular 3d detection from object keypoints for autonomous driving
Peixuan Li, Huaici Zhao, Pengfei Liu, and Feidao Cao · 2020
Cited alongside, same era.
Smoke: Single-stage monocular 3d object detection via keypoint estimation
Zechen Liu, Zizhang Wu, and Roland Tóth · 2020
Cited alongside, same era.
Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, and Adrien Gaidon · 2021
Later among the works it cites.
Lidar point cloud guided monocular 3d object detection
Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, and Deng Cai · 2021
Later among the works it cites.
Categorical depth distribution network for monocular 3d object detection
Cody Reading, Ali Harakeh, Julia Chae, and Steven L Waslander · 2021
Later among the works it cites.
Danila Rukhovich, Anna Vorontsova, and Anton Konushin · 2021
Later among the works it cites.
Geometry-based distance decomposition for monocular 3d object detection
Xuepeng Shi, Qi Ye, Xiaozhi Chen, Chuangrong Chen, Zhixiang Chen, and Tae-Kyun Kim · 2021
Later among the works it cites.
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
Later among the works it cites.
Probabilistic and geometric depth: Detecting objects in perspective
Tai Wang, Xinge ZHU, Jiangmiao Pang, and Dahua Lin · 2021
Later among the works it cites.
Objects are different: Flexible monocular 3d object detection
Yunpeng Zhang, Jiwen Lu, and Jie Zhou · 2021
Later among the works it cites.
Monocular 3d object detection: An extrinsic parameter free approach
Yunsong Zhou, Yuan He, Hongzi Zhu, Cheng Wang, Hongyang Li, and Qinhong Jiang · 2021
Later among the works it cites.
The devil is in the task: Exploiting reciprocal appearance-localization features for monocular 3d object detection
Zhikang Zou, Xiaoqing Ye, Liang Du, Xianhui Cheng, Xiao Tan, Li Zhang, Jianfeng Feng, Xiangyang Xue, and Errui Ding · 2021
Later among the works it cites.