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Christian Theobalt | Vladislav Golyanik | Rishabh Dabral | Arjun Jain | Soshi Shimada | C. Theobalt | Arjun Jain | Vladislav Golyanik | Soshi Shimada | Rishabh Dabral
[1] Christian Theobalt,et al. Neural monocular 3D human motion capture with physical awareness , 2021, ACM Trans. Graph..
[2] Christian Theobalt,et al. PhysCap , 2020, ACM Trans. Graph..
[3] Deva Ramanan,et al. Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild , 2020, ECCV.
[4] Leonidas J. Guibas,et al. Contact and Human Dynamics from Monocular Video , 2020, SCA.
[5] Andreas Aristidou,et al. MotioNet , 2020, ACM Trans. Graph..
[6] Christian Theobalt,et al. DeepCap: Monocular Human Performance Capture Using Weak Supervision , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Michael J. Black,et al. VIBE: Video Inference for Human Body Pose and Shape Estimation , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Pascal Fua,et al. Gravity as a Reference for Estimating a Person’s Height From Video , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[9] Andrea Vedaldi,et al. C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[10] Ganesh Ramakrishnan,et al. Multi-Person 3D Human Pose Estimation from Monocular Images , 2019, 2019 International Conference on 3D Vision (3DV).
[11] Christian Theobalt,et al. EventCap: Monocular 3D Capture of High-Speed Human Motions Using an Event Camera , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Dimitrios Tzionas,et al. Resolving 3D Human Pose Ambiguities With 3D Scene Constraints , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[13] Kyoung Mu Lee,et al. Camera Distance-Aware Top-Down Approach for 3D Multi-Person Pose Estimation From a Single RGB Image , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[14] Johannes L. Schönberger,et al. SciPy 1.0: fundamental algorithms for scientific computing in Python , 2019, Nature Methods.
[15] Pascal Fua,et al. XNect , 2019, ACM Trans. Graph..
[16] D. Stricker,et al. Structure from Articulated Motion: Accurate and Stable Monocular 3D Reconstruction without Training Data , 2019, Sensors.
[17] James M. Rehg,et al. Unsupervised 3D Pose Estimation With Geometric Self-Supervision , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Christian Theobalt,et al. In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Nicolas Mansard,et al. Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Bodo Rosenhahn,et al. RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[21] David Grangier,et al. 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Christian Theobalt,et al. LiveCap , 2018, ACM Trans. Graph..
[23] Cristian Sminchisescu,et al. Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes: The Importance of Multiple Scene Constraints , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[24] Xiaowei Zhou,et al. Learning to Estimate 3D Human Pose and Shape from a Single Color Image , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[25] Cordelia Schmid,et al. LCR-Net++: Multi-Person 2D and 3D Pose Detection in Natural Images , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Jitendra Malik,et al. End-to-End Recovery of Human Shape and Pose , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[27] Abhishek Sharma,et al. Learning 3D Human Pose from Structure and Motion , 2017, ECCV.
[28] Song-Chun Zhu,et al. Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation , 2017, AAAI.
[29] James J. Little,et al. A Simple Yet Effective Baseline for 3d Human Pose Estimation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[30] Hans-Peter Seidel,et al. VNect , 2017, ACM Trans. Graph..
[31] Lourdes Agapito,et al. Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Deva Ramanan,et al. 3D Human Pose Estimation = 2D Pose Estimation + Matching , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Cewu Lu,et al. RMPE: Regional Multi-person Pose Estimation , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[34] Pascal Fua,et al. Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision , 2016, 2017 International Conference on 3D Vision (3DV).
[35] F. Moreno-Noguer. 3D Human Pose Estimation from a Single Image via Distance Matrix Regression , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Jiri Matas,et al. Discriminative Correlation Filter Tracker with Channel and Spatial Reliability , 2016, International Journal of Computer Vision.
[37] Xiaowei Zhou,et al. Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Bodo Rosenhahn,et al. 3D Reconstruction of Human Motion from Monocular Image Sequences , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[39] Peter V. Gehler,et al. Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image , 2016, ECCV.
[40] Vincent Lepetit,et al. Structured Prediction of 3D Human Pose with Deep Neural Networks , 2016, BMVC.
[41] Jia Deng,et al. Stacked Hourglass Networks for Human Pose Estimation , 2016, ECCV.
[42] Didier Stricker,et al. Precise and Automatic Anthropometric Measurement Extraction Using Template Registration , 2015 .
[43] Xiaowei Zhou,et al. 3D Shape Reconstruction from 2D Landmarks: A Convex Formulation , 2014, ArXiv.
[44] Bernt Schiele,et al. 2D Human Pose Estimation: New Benchmark and State of the Art Analysis , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[45] Michael J. Black,et al. Model-based anthropometry: Predicting measurements from 3D human scans in multiple poses , 2014, IEEE Winter Conference on Applications of Computer Vision.
[46] Jessica K. Hodgins,et al. Video-based 3D motion capture through biped control , 2012, ACM Trans. Graph..
[47] Steven M. Seitz,et al. Computing the Physical Parameters of Rigid-Body Motion from Video , 2002, ECCV.
[48] Pascal Fua,et al. Unsupervised Geometry-Aware Representation Learning for 3D Human Pose Estimation , 2018, ECCV 2018.
[49] Jorge J. Moré,et al. The Levenberg-Marquardt algo-rithm: Implementation and theory , 1977 .