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3D object detection from monocular images is an ill-posed problem due to the projective entanglement of depth and scale.
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images ”In the Wild”
Silvia Zuffi, Angjoo Kanazawa, Tanya Berger-Wolf, and Michael J. Black · 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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Microsoft COCO: Common Objects in Context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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OpenDR: An Approximate Differentiable Renderer
Matthew M. Loper and Michael J. Black · 2014
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ShapeNet: An Information-Rich 3D Model Repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 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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Adam: A Method for Stochastic Optimization
Diederik P Kingma and Jimmy Ba · 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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Joint Object Pose Estimation and Shape Reconstruction in Urban Street Scenes Using 3D Shape Priors
Francis Engelmann, Jörg Stückler, and Bastian Leibe · 2016
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SAMP: Shape and Motion Priors for 4D Vehicle Reconstruction
Francis Engelmann, Jörg Stückler, and Bastian Leibe · 2017
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Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard, Oisin Mac Aodha, and Gabriel J Brostow · 2017
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Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 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
Yoshitaka Ushiku Hiroharu Kato and Tatsuya Harada · 2018
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Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
Eldar Insafutdinov and Alexey Dosovitskiy · 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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Differentiable monte carlo ray tracing through edge sampling
Tzu-Mao Li, Miika Aittala, Frédo Durand, and Jaakko Lehtinen · 2018
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Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints
Reza Mahjourian, Martin Wicke, and Anelia Angelova · 2018
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Learning 3D Shape Completion under Weak Supervision
David Stutz and Andreas Geiger · 2018
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Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction
Shubham Tulsiani, Alexei A Efros, and Jitendra Malik · 2018
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, Wanli Ouyang, and Pengbo Zhang · 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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Multi-View Reprojection Architecture for Orientation Estimation
Hee Min Choi, Hyoa Kang, and Yoonsuk Hyun · 2019
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SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
Sudeep Pillai, Rareş Ambruş, and Adrien Gaidon · 2019
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MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization
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Cited alongside, same era.
Multi-level Fusion Based 3D Object Detection from Monocular Images
Bin Xu and Zhenzhong Chen · 2018
Cited alongside, same era.
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Cited alongside, same era.
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
Wenzheng Chen, Jun Gao, Huan Ling, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, and Sanja Fidler · 2019
Cited alongside, same era.
PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation
Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, and Adrien Gaidon · 2019
Cited alongside, same era.
Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors
Tong He and Stefano Soatto · 2019
Cited alongside, same era.
Learning View Priors for Single-view 3D Reconstruction
Hiroharu Kato and Tatsuya Harada · 2019
Cited alongside, same era.
Zengyi Qin, Jinglu Wang, and Yan Lu · 2019
Later among the works it cites.
Orthographic Feature Transform for Monocular 3D Object Detection
Thomas Roddick, Alex Kendall, and Roberto Cipolla · 2019
Later among the works it cites.
Disentangling Monocular 3D Object Detection
Andrea Simonelli, Samuel Rota Bulo, Lorenzo Porzi, Manuel López-Antequera, and Peter Kontschieder · 2019
Later among the works it cites.
Single-Stage Monocular 3D Object Detection with Virtual Cameras
Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Elisa Ricci, and Peter Kontschieder · 2019
Later among the works it cites.
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
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Detectron2
Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick · 2019
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DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation
Rui Wang, Nan Yang, Joerg Stueckler, and Daniel Cremers · 2020
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Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, and Kilian Q Weinberger · 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
Closest in time.