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Monocular estimation of 3d human pose has attracted increased attention with the availability of large ground-truth motion capture datasets.
Tung, H.Y.F., Tung, H.W., Yumer, E., Fragkiadaki, K.: Self-supervised learning of motion capture. In: CVPR (2009)
2009
Earlier work this paper cites.
Sigal, L., Balan, A.O., Black, M.J.: Humaneva: Synchronizedvideo and motion capture dataset and baseline algorithm forevaluation of articulated human motion. In: IJCV (2010)
2010
Earlier work this paper cites.
Torralba, A., Efros, A.A.: Unbiased look at dataset bias. In: CVPR (2011)
2011
Earlier work this paper cites.
Andriluka, M., Pishchulin, L., Gehler, P., Schiele, B.: 2d human pose estimation: New benchmark and state of the art analysis. In: CVPR (2014)
2014
Earlier work this paper cites.
Ionescu, C., Papava, D., Olaru, V., Sminchisescu, C.: Human3.6m: Large scale datasets and predictive methods for 3d human sensing in natural environments. In: PAMI (2014)
2014
Earlier work this paper cites.
Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. In: ICLR (2015)
2015
Earlier work this paper cites.
Lee, C.Y., Xie, S., Gallagher, P., Zhang, Z., Tu, Z.: Deeply-supervised nets. In: aistats (2015)
2015
Earlier work this paper cites.
Xie, S., Tu, Z.: Holistically-nested edge detection. In: ICCV (2015)
2015
Earlier work this paper cites.
Choy, C.B., Xu, D., Gwak, J., Chen, K., Savarese, S.: 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction. In: Proceedings of the European Conference on Computer Vision (ECCV) (2016)
2016
Earlier work this paper cites.
He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR (2016)
2016
Earlier work this paper cites.
Kokkinos, I.: Ubernet: Training a ‘universal’ convolutional neural network for low-, mid-, and high-level vision using diverse datasets and limited memory. In: Arxiv (2016)
2016
Earlier work this paper cites.
Ranjan, R., Patel, V.M., Chellappa, R.: Hyperface: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition. In: TPAMI (2016)
2016
Earlier work this paper cites.
Yan, X., Yang, J., Yumer, E., Guo, Y., Lee, H.: Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision. In: Advances in neural information processing systems. pp. 1696–1704 (2016)
2016
Earlier work this paper cites.
He, K., Gkioxari, G., Dollár, P., Girshick, R.: Mask r-cnn. In: CVPR (2017)
2017
Earlier work this paper cites.
Martinez, J., Hossain, R., Romero, J., Little, J.J.: A simple yet effective baseline for 3d human pose estimation. In: ICCV (2017)
2017
Earlier work this paper cites.
Mehta, D., Rhodin, H., Casas, D., Fua, P., Sotnychenko, O., Xu, W., Theobalt, C.: Monocular 3d human pose estimation in the wild using improved cnn supervision. In: 3DV (2017)
2017
Earlier work this paper cites.
Pavlakos, G., Zhou, X., Derpanis, K.G., Daniilidis, K.: Coarse-to-fine volumetric prediction for single-image 3D human pose. In: CVPR (2017)
2017
Earlier work this paper cites.
Tatarchenko, M., Dosovitskiy, A., Brox, T.: Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 2088–2096 (2017)
2017
Earlier work this paper cites.
Trumble, M., Gilbert, A., Malleson, C., Hilton, A., Collomosse, J.: Total capture: 3d human pose estimation fusing video and inertial sensors. In: BMVC (2017)
2017
Cited alongside, same era.
Tulsiani, S., Zhou, T., Efros, A.A., Malik, J.: Multi-view supervision for single-view reconstruction via differentiable ray consistency. In: Computer Vision and Pattern Regognition (CVPR) (2017)
2017
Cited alongside, same era.
Varol, G., Romero, J., Martin, X., Mahmood, N., Black, M.J., Laptev, I., Schmid, C.: Learning from synthetic humans. In: CVPR (2017)
2017
Cited alongside, same era.
Yin, X., Liu, X.: Multi-task convolutional neural network for pose-invariant face recognition. IEEE Transactions on Image Processing 27
2017
Cited alongside, same era.
Zhou, X., Huang, Q., Sun, X., Xue, X., Wei, Y.: Towards 3d human pose estimation in the wild: A weakly-supervised approach. In: ICCV (2017)
Villegas, R., Yang, J., Ceylan, D., Lee, H.: Neural kinematic networks for unsupervised motion retargetting. In: CVPR (2018)
2018
Later among the works it cites.
Xiao, B., Wu, H., Wei, Y.: Simple baselines for human pose estimation and tracking. In: ECCV (2018)
2018
Later among the works it cites.
Zhang, X., Zhang, Z., Zhang, C., Tenenbaum, J., Freeman, B., Wu, J.: Learning to reconstruct shapes from unseen classes. In: Advances in Neural Information Processing Systems. pp. 2257–2268 (2018)
2018
Later among the works it cites.
Arnab, A., Doersch, C., Zisserman, A.: Exploiting temporal context for 3d human pose estimation in the wild. In: CVPR (2019)
2019
Later among the works it cites.
khsanul Habibie, Xu, W., Mehta, D., Pons-Moll, G., Theobalt, C.: In the wild human pose estimation using explicit 2d features and intermediate 3d representations. In: CVPR (2019)
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2017
Cited alongside, same era.
Zimmermann, C., Brox, T.: Learning to estimate 3d hand pose from single rgb images (2017)
2017
Cited alongside, same era.
Groueix, T., Fisher, M., Kim, V.G., Russell, B., Aubry, M.: AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation. In: Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) (2018)
2018
Cited alongside, same era.
Kanazawa, A., Black, M.J., Jacobs, D.W., Malik, J.: End-to-end recovery of human shape and pose. In: CVPR (2018)
2018
Cited alongside, same era.
von Marcard, T., Henschel, R., Black, M.J., Rosenhahn, B., Pons-Moll, G.: Recovering accurate 3d human pose in the wild using imus and a moving camera. In: ECCV (2018)
2018
Cited alongside, same era.
Marinoiu, E., Zanfir, M., Olaru, V., Sminchisescu, C.: 3d human sensing, action and emotion recognition in robot assisted therapy of children with autism. In: CVPR (2018)
2018
Cited alongside, same era.
McInnes, L., Healy, J., Saul, N., Grossberger, L.: Umap: Uniform manifold approximation and projection. The Journal of Open Source Software (2018)
2018
Cited alongside, same era.
Pavllo, D., Grangier, D., Auli, M.: Quaternet: A quaternion-based recurrent model for human motion. In: BMVC (2018)
2018
Cited alongside, same era.
2019
Later among the works it cites.
Kanazawa, A., Zhang, J.Y., Felsen, P., Malik, J.: Learning 3d human dynamics from video. In: CVPR (2019)
2019
Later among the works it cites.
Lasinger, K., Ranftl, R., Schindler, K., Koltun, V.: Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer. In: Arxiv (2019)
2019
Later among the works it cites.
Mescheder, L., Oechsle, M., Niemeyer, M., Nowozin, S., Geiger, A.: Occupancy networks: Learning 3d reconstruction in function space. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 4460–4470 (2019)
2019
Later among the works it cites.
Moon, G., Chang, J., Lee, K.M.: Camera distance-aware top-down approach for 3d multi-person pose estimation from a single rgb image. In: ICCV (2019)
2019
Later among the works it cites.
Nikos Kolotouros, Georgios Pavlakos, K.D.: Convolutional mesh regression for single-image human shape reconstruction. In: CVPR (2019)
2019
Later among the works it cites.
Rogez, G., Weinzaepfel, P., Schmid, C.: Lcr-net++: Multi-person 2d and 3d pose detection in natural images. In: PAMI (2019)
2019
Later among the works it cites.
Tatarchenko, M., Richter, S.R., Ranftl, R., Li, Z., Koltun, V., Brox, T.: What do single-view 3d reconstruction networks learn? In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 3405–3414 (2019)
2019
Later among the works it cites.
Varol, G., Ceylan, D., Bryan Russell, a.J.Y., Yumer, E., Laptev, I., Schmid, C.: Bodynet: Volumetric inference of 3d human body shapes. In: CVPR (2019)
2019
Later among the works it cites.
Wang, X., Cai, Z., Gao, D., Vasconcelos, N.: Towards universal object detection by domain attention. In: CVPR (2019)
2019
Later among the works it cites.
Wang, Z., Chen, L., Rathore, S., Shin, D., Fowlkes, C.: Geometric pose affordance: 3d human pose with scene constraints. In: arxiv (2019)
2019
Later among the works it cites.
Yu, S., Yun, Y., Wu, L., Wenpeng, G., YiLi, F., Tao, M.: Human mesh recovery from monocular images via a skeleton-disentangled representation. In: ICCV (2019)
2019
Later among the works it cites.
Zimmermann, C., Ceylan, D., Yang, J., Russell, B., Argus, M., Brox, T.: Freihand: A dataset for markerless capture of hand pose and shape from single rgb images. In: ICCV (2019)
2019
Later among the works it cites.