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Depth estimation is usually ill-posed and ambiguous for monocular camera-based 3D multi-person pose estimation.
Inverse perspective mapping simplifies optical flow computation and obstacle detection
Mallot, H. A.; Bülthoff, H. H.; Little, J.; and Bohrer, S. 1991 · 1991
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3d human pose estimation in rgbd images for robotic task learning
Zimmermann, C.; Welschehold, T.; Dornhege, C.; Burgard, W.; and Brox, T. 2018 · 1992
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Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
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SMPL: A skinned multi-person linear model
Loper, M.; Mahmood, N.; Romero, J.; Pons-Moll, G.; and Black, M. J. 2015 · 2015
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Realtime multi-person 2d pose estimation using part affinity fields
Cao, Z.; Simon, T.; Wei, S.-E.; and Sheikh, Y. 2017 · 2017
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Multi-view 3D Object Detection Network for Autonomous Driving
Chen, X.; Ma, H.; Wan, J.; Li, B.; and Xia, T. 2017 · 2017
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A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Fan, H.; Su, H.; and Guibas, L. J. 2017 · 2017
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A simple yet effective baseline for 3d human pose estimation
Martinez, J.; Hossain, R.; Romero, J.; and Little, J. J. 2017 · 2017
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Monocular 3d human pose estimation in the wild using improved cnn supervision
Mehta, D.; Rhodin, H.; Casas, D.; Fua, P.; Sotnychenko, O.; Xu, W.; and Theobalt, C. 2017 · 2017
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Vnect: Real-time 3d human pose estimation with a single rgb camera
Mehta, D.; Sridhar, S.; and etc. 2017 · 2017
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Coarse-to-fine volumetric prediction for single-image 3D human pose
Pavlakos, G.; Zhou, X.; Derpanis, K. G.; and Daniilidis, K. 2017 · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Qi, C. R.; Su, H.; Mo, K.; and Guibas, L. J. 2017 · 2017
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Lifting from the deep: Convolutional 3d pose estimation from a single image
Tome, D.; Russell, C.; and Agapito, L. 2017 · 2017
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Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
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Joint 3d proposal generation and object detection from view aggregation
Ku, J.; Mozifian, M.; Lee, J.; Harakeh, A.; and Waslander, S. L. 2018 · 2018
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Deep continuous fusion for multi-sensor 3d object detection
Liang, M.; Yang, B.; Wang, S.; and Urtasun, R. 2018 · 2018
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Single-shot multi-person 3d pose estimation from monocular rgb
Mehta, D.; Sotnychenko, O.; and etc. 2018 · 2018
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Unsupervised geometry-aware representation for 3d human pose estimation
Rhodin, H.; Salzmann, M.; and Fua, P. 2018 · 2018
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Recovering accurate 3d human pose in the wild using imus and a moving camera
Von Marcard, T.; Henschel, R.; Black, M. J.; Rosenhahn, B.; and Pons-Moll, G. 2018 · 2018
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Exploiting temporal context for 3D human pose estimation in the wild
Arnab, A.; Doersch, C.; and Zisserman, A. 2019 · 2019
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Unsupervised 3d pose estimation with geometric self-supervision
Chen, C.-H.; Tyagi, A.; Agrawal, A.; Drover, D.; Mv, R.; Stojanov, S.; and Rehg, J. M. 2019 · 2019
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Fast and robust multi-person 3d pose estimation from multiple views
Dong, J.; Jiang, W.; Huang, Q.; Bao, H.; and Zhou, X. 2019 · 2019
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Self-supervised learning of 3d human pose using multi-view geometry
Kocabas, M.; Karagoz, S.; and Akbas, E. 2019 · 2019
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Camera distance-aware top-down approach for 3d multi-person pose estimation from a single rgb image
Monocular, one-stage, regression of multiple 3d people
Sun, Y.; Bao, Q.; Liu, W.; Fu, Y.; Black, M. J.; and Mei, T. 2021 · 2021
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Canonpose: Self-supervised monocular 3d human pose estimation in the wild
Wandt, B.; Rudolph, M.; Zell, P.; Rhodin, H.; and Rosenhahn, B. 2021 · 2021
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Pointaugmenting: Cross-modal augmentation for 3d object detection
Wang, C.; Ma, C.; Zhu, M.; and Yang, X. 2021 · 2021
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Center-based 3D Object Detection and Tracking
Yin, T.; Zhou, X.; and Krähenbühl, P. 2021 · 2021
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Rgb-D Fusion For Point-Cloud-Based 3d Human Pose Estimation
Ying, J.; and Zhao, X. 2021 · 2021
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Skeleton2Mesh: Kinematics Prior Injected Unsupervised Human Mesh Recovery
Yu, Z.; Wang, J.; Xu, J.; Ni, B.; Zhao, C.; Wang, M.; and Zhang, W. 2021 · 2021
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Moon, G.; Chang, J. Y.; and Lee, K. M. 2019 · 2019
Cited alongside, same era.
Lcr-net++: Multi-person 2d and 3d pose detection in natural images
Rogez, G.; Weinzaepfel, P.; and Schmid, C. 2019 · 2019
Cited alongside, same era.
Absolute human pose estimation with depth prediction network
Véges, M.; and Lőrincz, A. 2019 · 2019
Cited alongside, same era.
3d human pose estimation using spatio-temporal networks with explicit occlusion training
Cheng, Y.; Yang, B.; Wang, B.; and Tan, R. T. 2020 · 2020
Cited alongside, same era.
HPERL: 3d human pose estimation from RGB and lidar
Fürst, M.; Gupta, S. T.; Schuster, R.; Wasenmüller, O.; and Stricker, D. 2021 · 2020
Cited alongside, same era.
XNect: Real-time multi-person 3D motion capture with a single RGB camera
Mehta, D.; Sotnychenko, O.; Mueller, F.; Xu, W.; Elgharib, M.; Fua, P.; Seidel, H.-P.; Rhodin, H.; Pons-Moll, G.; and Theobalt, C. 2020 · 2020
Cited alongside, same era.
Pointpainting: Sequential fusion for 3d object detection
Vora, S.; Lang, A. H.; Helou, B.; and Beijbom, O. 2020 · 2020
Cited alongside, same era.
Later among the works it cites.
Direct multi-view multi-person 3d pose estimation
Zhang, J.; Cai, Y.; Yan, S.; Feng, J.; et al. 2021 · 2021
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3d human pose estimation with spatial and temporal transformers
Zheng, C.; Zhu, S.; Mendieta, M.; Yang, T.; Chen, C.; and Ding, Z. 2021 · 2021
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Cylindrical and asymmetrical 3d convolution networks for lidar-based perception
Zhu, X.; Zhou, H.; Wang, T.; Hong, F.; Li, W.; Ma, Y.; Li, H.; Yang, R.; and Lin, D. 2021 · 2021
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Transfusion: Robust lidar-camera fusion for 3d object detection with transformers
Bai, X.; Hu, Z.; Zhu, X.; Huang, Q.; Chen, Y.; Fu, H.; and Tai, C.-L. 2022 · 2022
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STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes
Cong, P.; Zhu, X.; Qiao, F.; Ren, Y.; Peng, X.; Hou, Y.; Xu, L.; Yang, R.; Manocha, D.; and Ma, Y. 2022 · 2022
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LiCamGait: Gait Recognition in the Wild by Using LiDAR and Camera Multi-modal Visual Sensors
Han, X.; Cong, P.; Xu, L.; Wang, J.; Yu, J.; and Ma, Y. 2022 · 2022
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HybridCap: Inertia-aid Monocular Capture of Challenging Human Motions
Liang, H.; He, Y.; Zhao, C.; Li, M.; Wang, J.; Yu, J.; and Xu, L. 2022 · 2022
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BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird’s-Eye View Representation
Liu, Z.; Tang, H.; Amini, A.; Yang, X.; Mao, H.; Rus, D.; and Han, S. 2022 · 2022
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Putting people in their place: Monocular regression of 3d people in depth
Sun, Y.; Liu, W.; Bao, Q.; Fu, Y.; Mei, T.; and Black, M. J. 2022 · 2022
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LiDAR-aid Inertial Poser: Large-scale Human Motion Capture by Sparse Inertial and LiDAR Sensors
Zhao, C.; Ren, Y.; He, Y.; Cong, P.; Liang, H.; Yu, J.; Xu, L.; and Ma, Y. 2022 · 2022
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Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving
Zheng, J.; Shi, X.; Gorban, A.; Mao, J.; Song, Y.; Qi, C. R.; Liu, T.; Chari, V.; Cornman, A.; Zhou, Y.; et al. 2022 · 2022
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