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Monocular 3D scene understanding tasks, such as object size estimation, heading angle estimation and 3D localization, is challenging.
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
R. Storn and K. Price · 1997
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3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model
S. Fidler, S. Dickinson, and R. Urtasun · 2012
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Are We Ready for Autonomous Driving? the KITTI Vision Benchmark Suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
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Explicit Occlusion Modeling for 3D Object Class Representations
M. Z. Zia, M. Stark, and K. Schindler · 2013
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Sliding Shapes for 3D Object Detection in Depth Images
S. Song and J. Xiao · 2014
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Are Cars just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects
M. Z. Zia, M. Stark, and K. Schindler · 2014
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ShapeNet: An Information-Rich 3D Model Repository
A. X. Chang, T. Funkhouser, L. Guibas, P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, J. Xiao, L. Yi, and F. Yu · 2015
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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Joint SFM and Detection Cues for Monocular 3D Localization in Road Scenes
S. Song and M. Chandraker · 2015
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Data-Driven 3D Voxel Patterns for Object Category Recognition
Y. Xiang, W. Choi, Y. Lin, and S. Savarese · 2015
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Towards Scene Understanding with Detailed 3D Object Representations
M. Z. Zia, M. Stark, and K. Schindler · 2015
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Monocular 3D Object Detection for Autonomous Driving
X. Chen, K. Kundu, Z. Zhang, H. Ma, S. Fidler, and R. Urtasun · 2016
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The Cityscapes Dataset for Semantic Urban Scene Understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016
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Overcoming Occlusion with Inverse Graphics
P. Moreno, C. K. Williams, C. Nash, and P. Kohli · 2016
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Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
S. Song and J. Xiao · 2016
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Learning Dense Correspondence via 3D-guided Cycle Consistency
T. Zhou, P. Krähenbühl, M. Aubry, Q. Huang, and A. A. Efros · 2016
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Deep MANTA: a Coarse-to-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis from Monocular Image
F. Chabot, M. Chaouch, and J. Rabarisoa · 2017
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
I. Cherabier, C. Hane, M. R. Oswald, and M. Pollefeys · 2017
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Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
M. Engelcke, D. Rao, D. Z. Wang, C. H. Tong, and I. Posner · 2017
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Mask R-CNN
K. He, G. Gkioxari, P. Doll, and R. Girshick · 2017
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2D-Driven 3D Object Detection in RGB-D Images
J. Lahoud and B. Ghanem · 2017
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3D Bounding Box Estimation Using Deep Learning and Geometry
A. Mousavian, D. Anguelov, J. Košecká, and J. Flynn · 2017
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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. R. Qi, L. Yi, H. Su, and L. J. Guibas · 2017
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Time-Contrastive Networks: Self-Supervised Learning from Multi-view Observation
P. Sermanet, C. Lynch, J. Hsu, and S. Levine · 2017
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Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency
S. Tulsiani, T. Zhou, A. A. Efros, and J. Malik · 2017
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Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision
H. Y. F. Tung, A. W. Harley, W. Seto, and K. Fragkiadaki · 2017
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Multi-View 3D Object Detection Network for Autonomous Driving
C. Xiaozhi, M. Huimin, W. Ji, L. Bo, and X. Tian · 2017
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Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
J.-y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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Recycle-GAN: Unsupervised Video Retargeting
A. Bansal, S. Ma, D. Ramanan, and Y. Sheikh · 2018
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BirdNet: A 3D Object Detection Framework from LiDAR information
J. Beltran, C. Guindel, F. M. Moreno, D. Cruzado, F. Garcia, and A. de la Escalera · 2018
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PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup
H. Chang, J. Lu, A. Research, F. Yu, and A. Finkelstein · 2018
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Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors
Multi-View Consistency as Supervisory Signal for Learning Shape and Pose Prediction
S. Tulsiani, A. A. Efros, and J. Malik · 2018
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Deep Reinforcement Learning for Autonomous Driving
S. Wang, D. Jia, and X. Weng · 2018
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CyLKs: Unsupervised Cycle Lucas-Kanade Network for Landmark Tracking
X. Weng and W. Han · 2018
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Object Detection and Classification in Occupancy Grid Maps Using Deep Convolutional Networks
S. Wirges, T. Fischer, C. Stiller, and J. B. Frias · 2018
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Multi-Level Fusion based 3D Object Detection from Monocular Images
B. Xu and Z. Chen · 2018
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X. Dong, S.-i. Yu, X. Weng, S.-e. Wei, Y. Yang, and Y. Sheikh · 2018
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A General Pipeline for 3D Detection of Vehicles
X. Du, M. H. Ang, S. Karaman, and D. Rus · 2018
Cited alongside, same era.
Deep Ordinal Regression Network for Monocular Depth Estimation
H. Fu, M. Gong, C. Wang, K. Batmanghelich, and D. Tao · 2018
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3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
B. Graham, M. Engelcke, and L. van der Maaten · 2018
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Automotive 3D Object Detection Without Target Domain Annotations
F. Gustafsson and E. Linder-Norén · 2018
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Pointwise Convolutional Neural Networks
B.-S. Hua, M.-K. Tran, and S.-K. Yeung · 2018
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MONET: Multiview Semi-Supervised Keypoint via Epipolar Divergence
Y. Jafarian, Y. Yao, and H. S. Park · 2018
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PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation
D. Xu, D. Anguelov, and A. Jain · 2018
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Second: Sparsely embedded convolutional detection
Y. Yan, Y. Mao, and B. Li · 2018
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HDNET: Exploiting HD Maps for 3D Object Detection
B. Yang, M. Liang, and R. Urtasu · 2018
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PIXOR: Real-time 3D Object Detection from Point Clouds
B. Yang, W. Luo, and R. Urtasun · 2018
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IPOD: Intensive Point-based Object Detector for Point Cloud
Z. Yang, Y. Sun, S. Liu, X. Shen, and J. Jia · 2018
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LEGO: Learning Edge with Geometry all at Once by Watching Videos
Z. Yang, P. Wang, Y. Wang, W. Xu, and R. Nevatia · 2018
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Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency
Z. Yang, P. Wang, W. Xu, L. Zhao, and R. Nevatia · 2018
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Multiview Cross-Supervision for Semantic Segmentation
Y. Yao and H. S. Park · 2018
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PU-Net: Point Cloud Upsampling Network
L. Yu, X. Li, C.-W. Fu, D. Cohen-Or, and P.-A. Heng · 2018
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Multiview Supervision By Registration
Y. Zhang and H. S. Park · 2018
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VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Y. Zhou and O. Tuzel · 2018
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PointPillars: Fast Encoders for Object Detection from Point Clouds
A. H. Lang, S. Vora, H. Caesar, L. Zhou, J. Yang, and O. Beijbom · 2019
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Future Near-Collision Prediction from Monocular Video: Feasibility, Dataset , and Challenges
A. Manglik, X. Weng, E. Ohn-bar, and K. M. Kitani · 2019
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ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape
F. Manhardt, W. Kehl, and A. Gaidon · 2019
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PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
S. Shi, X. Wang, and H. Li · 2019
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Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Y. Wang, W.-L. Chao, D. Garg, B. Hariharan, M. Campbell, and K. Weinberger · 2019
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Dynamic Graph CNN for Learning on Point Clouds
Y. Wang, Y. Sun, Z. Liu, S. E. Sarma, M. M. Bronstein, and J. M. Solomon · 2019
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Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection
Z. Wang and K. Jia · 2019
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Capturing Object Detection Uncertainty in Multi-Layer Grid Maps
S. Wirges, M. Reith-Braun, M. Lauer, and C. Stiller · 2019
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3D Object Detection Using Scale Invariant and Feature Reweighting Networks
X. Zhao, Z. Liu, R. Hu, and K. Huang · 2019
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