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Monocular 3D object detection is a key problem for autonomous vehicles, as it provides a solution with simple configuration compared to typical multi-sensor systems.
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S. B. Kotsiantis · 2007
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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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Microsoft COCO: common objects in context
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Semantic image segmentation with deep convolutional nets and fully connected crfs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille · 2015
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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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Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
David Eigen and Rob Fergus · 2015
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille · 2016
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Monocular 3d object detection for autonomous driving
Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma1, Sanja Fidler, and Raquel Urtasun · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Deeper depth prediction with fully convolutional residual networks
Iro Laina, Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, and Nassir Navab · 2016
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3d bounding box estimation using deep learning and geometry
Arsalan Mousavian, Dragomir Anguelov, John Flynn, and Jana Kosecka · 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 Teulière, and Thierry Chateau · 2017
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Rethinking atrous convolution for semantic image segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
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Deep ordinal regression network for monocular depth estimation
Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, and Dacheng Tao · 2018
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In defense of classical image processing: Fast depth completion on the CPU
Jason Ku, Ali Harakeh, and Steven Lake Waslander · 2018
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Joint 3D proposal generation and object detection from view aggregation
Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, and Steven Lake Waslander · 2018
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Accurate uncertainties for deep learning using calibrated regression
Volodymyr Kuleshov, Nathan Fenner, and Stefano Ermon · 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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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, and Piotr Dollár · 2018
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Orthographic feature transform for monocular 3D object detection
Thomas Roddick, Alex Kendall, and Roberto Cipolla · 2018
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Learning to look around objects for top-view representations of outdoor scenes
Samuel Schulter, Menghua Zhai, Nathan Jacobs, and Manmohan Chandraker · 2018
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A disciplined approach to neural network hyper-parameters: Part 1 - learning rate, batch size, momentum, and weight decay
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Bin Xu and Zhenzhong Chen · 2018
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Pad-net: Multi-tasks guided prediction-and-distillation network for simultaneous depth estimation and scene parsing
Dan Xu, Wanli Ouyang, Xiaogang Wang, and Nicu Sebe · 2018
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Zhenyu Zhang, Zhen Cui, Chunyan Xu, Zequn Jie, Xiang Li, and Jian Yang · 2018
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Monocular differentiable rendering for self-supervised 3d object detection
Deniz Beker, Hiroharu Kato, Mihai Adrian Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, and Adrien Gaidon · 2020
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Kinematic 3d object detection in monocular video
Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu, and Bernt Schiele · 2020
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Dsgn: Deep stereo geometry network for 3d object detection
Yilun Chen, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 2020
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Monopair: Monocular 3d object detection using pairwise spatial relationships
Yongjian Chen, Lei Tai, Kai Sun, and Mingyang Li · 2020
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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
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Confidence guided stereo 3d object detection with split depth estimation
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PointPillars: Fast encoders for object detection from point clouds
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From big to small: Multi-scale local planar guidance for monocular depth estimation
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Monocular semantic occupancy grid mapping with convolutional variational auto-encoders
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Accurate monocular 3D object detection via color-embedded 3D reconstruction for autonomous driving
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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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Chengyao Li, Jason Ku, and Steven L. Waslander · 2020
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Rtm3d: Real-time monocular 3d detection from object keypoints for autonomous driving
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Reinforced axial refinement network for monocular 3d object detection
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Smoke: Single-stage monocular 3d object detection via keypoint estimation
Zechen Liu, Zizhang Wu, and Roland Toth · 2020
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Monolayout: Amodal scene layout from a single image
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Bev-seg: Bird’s eye view semantic segmentation using geometry and semantic point cloud
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Object-centric stereo matching for 3d object detection
Alex D. Pon, Jason Ku, Chengyao Li, and Steven L. Waslander · 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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Predicting semantic map representations from images using pyramid occupancy networks
Thomas Roddick and Roberto Cipolla · 2020
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PV-RCNN: Point-voxel feature set abstraction for 3D object detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2020
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Towards generalization across depth for monocular 3d object detection
Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Elisa Ricci, and Peter Kontschieder · 2020
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Center3d: Center-based monocular 3d object detection with joint depth understanding
Yunlei Tang, Sebastian Dorn, and Chiragkumar Savani · 2020
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Sdc-depth: Semantic divide-and-conquer network for monocular depth estimation
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Distance-normalized unified representation for monocular 3d object detection
Tae-Kyun Kim Xuepeng Shi, Zhixiang Chen · 2020
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Monocular 3d object detection via feature domain adaptation
Xiaoqing Ye, Liang Du, Yifeng Shi, Yingying Li, Xiao Tan, Jianfeng Feng, Errui Ding, and Shilei Wen · 2020
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