2D Human Pose Estimation: New Benchmark and State of the Art Analysis, 2014 IEEE Conference on Computer Vision and Pattern Recognition, p.7, 2014. ,
DOI : 10.1109/CVPR.2014.471
Attention to Scale: Scale-Aware Semantic Image Segmentation, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ,
DOI : 10.1109/CVPR.2016.396
URL : http://arxiv.org/abs/1511.03339
Single-image depth perception in the wild, NIPS, issue.4, 2016. ,
Marker-Less 3D Human Motion Capture with Monocular Image Sequence and Height-Maps, 2016. ,
DOI : 10.1007/978-3-319-10584-0_23
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture, 2015 IEEE International Conference on Computer Vision (ICCV), 2015. ,
DOI : 10.1109/ICCV.2015.304
URL : http://arxiv.org/abs/1411.4734
Depth map prediction from a single image using a multi-scale deep network, NIPS, vol.4, p.5, 2014. ,
Learning to be a depth camera for close-range human capture and interaction, ACM Transactions on Graphics, vol.33, issue.4, 2014. ,
DOI : 10.1145/2601097.2601223
Virtual worlds as proxy for multi-object tracking analysis, 2016. ,
DOI : 10.1109/cvpr.2016.470
URL : http://arxiv.org/abs/1605.06457
Learning Camera Viewpoint Using CNN to Improve 3D Body Pose Estimation, 2016 Fourth International Conference on 3D Vision (3DV), p.3, 2016. ,
DOI : 10.1109/3DV.2016.75
URL : http://arxiv.org/abs/1609.05522
Spherical harmonic lighting: The gritty details, Archives of the Game Developers Conference, 2003. ,
Latent structured models for human pose estimation, 2011 International Conference on Computer Vision, p.5, 2011. ,
DOI : 10.1109/ICCV.2011.6126500
Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.36, issue.7, pp.1325-1339, 2005. ,
DOI : 10.1109/TPAMI.2013.248
Deep convolutional neural fields for depth estimation from a single image, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. ,
DOI : 10.1109/CVPR.2015.7299152
URL : http://arxiv.org/abs/1411.6387
SMPL, ACM Transactions on Graphics, vol.34, issue.6, 2015. ,
DOI : 10.1145/2816795.2818013
MoSh, ACM Transactions on Graphics, vol.33, issue.6, 2014. ,
DOI : 10.1145/2661229.2661273
Learning appearance in virtual scenarios for pedestrian detection, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5540218
Relevant Feature Selection for Human Pose Estimation and Localization in Cluttered Images, 2008. ,
DOI : 10.1007/978-3-540-88688-4_32
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.183.8996
Deep learning for human part discovery in images, 2016 IEEE International Conference on Robotics and Automation (ICRA) ,
DOI : 10.1109/ICRA.2016.7487304
Articulated people detection and pose estimation: Reshaping the future, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012. ,
DOI : 10.1109/CVPR.2012.6248052
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.388.4003
Dyna, ACM Transactions on Graphics, vol.34, issue.4, 2015. ,
DOI : 10.1145/2766993
Generating human images and ground truth using computer graphics ,
Learning a non-linear knowledge transfer model for cross-view action recognition, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. ,
DOI : 10.1109/CVPR.2015.7298860
3D Action Recognition from Novel Viewpoints, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ,
DOI : 10.1109/CVPR.2016.167
Ego- Cap: Egocentric marker-less motion capture with two fisheye cameras, SIGGRAPH Asia, 2016. ,
MoCap-guided data augmentation for 3D pose estimation in the wild, NIPS, issue.2 6, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01389486
FlowCap: 2D Human Pose from Optical Flow, 2015. ,
DOI : 10.1007/978-3-319-24947-6_34
MODEC: Multimodal Decomposable Models for Human Pose Estimation, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013. ,
DOI : 10.1109/CVPR.2013.471
Real-time human pose recognition in parts from a single depth image, 2011. ,
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views, 2015 IEEE International Conference on Computer Vision (ICCV), p.2015 ,
DOI : 10.1109/ICCV.2015.308
A dualsource approach for 3D pose estimation from a single image, 2016. ,
DOI : 10.1109/cvpr.2016.535
URL : http://arxiv.org/abs/1509.06720
LSUN: Construction of a large-scale image dataset using deep learning with humans in the loop, 2015. ,
Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ,
DOI : 10.1109/CVPR.2016.537
URL : http://arxiv.org/abs/1511.09439