Fetching the paper…
Reading the bibliography…
Human pose forecasting is a challenging problem involving complex human body motion and posture dynamics.
Brand, M., Hertzmann, A.: Style machines. In: Proceedings of the 27th annual conference on Computer graphics and interactive techniques. pp. 183–192 (2000)
2000
Earlier work this paper cites.
Pavlovic, V., Rehg, J.M., MacCormick, J.: Learning switching linear models of human motion. Advances in neural information processing systems
2000
Earlier work this paper cites.
Gong, H., Sim, J., Likhachev, M., Shi, J.: Multi-hypothesis motion planning for visual object tracking. 2011 International Conference on Computer Vision pp. 619–626 (2011)
2011
Earlier work this paper cites.
Adeli-Mosabbeb, E., Fathy, M., Zargari, F.: Model-based human gait tracking, 3d reconstruction and recognition in uncalibrated monocular video. The Imaging Science Journal
2012
Earlier work this paper cites.
Levine, S., Wang, J.M., Haraux, A., Popovic, Z., Koltun, V.: Continuous character control with low-dimensional embeddings. ACM Transactions on Graphics (TOG)
2012
Earlier work this paper cites.
Koppula, H.S., Saxena, A.: Anticipating human activities for reactive robotic response. 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems pp. 2071–2071 (2013)
2013
Earlier work this paper cites.
Wu, D., Shao, L.: Leveraging hierarchical parametric networks for skeletal joints based action segmentation and recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 724–731 (2014)
2014
Earlier work this paper cites.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., Polosukhin, I.: Attention is all you need. Advances in neural information processing systems
2017
Earlier work this paper cites.
2018
Earlier work this paper cites.
von Marcard, T., Henschel, R., Black, M., Rosenhahn, B., Pons-Moll, G.: Recovering accurate 3d human pose in the wild using imus and a moving camera. In: European Conference on Computer Vision (ECCV) (sep 2018)
2018
Earlier work this paper cites.
Mehta, D., Sotnychenko, O., Mueller, F., Xu, W., Sridhar, S., Pons-Moll, G., Theobalt, C.: Single-shot multi-person 3d pose estimation from monocular rgb. In: 2018 International Conference on 3D Vision (3DV). pp. 120–130. IEEE (2018)
2018
Earlier work this paper cites.
kuang Chiu, H., Adeli, E., Wang, B., Huang, D.A., Niebles, J.C.: Action-agnostic human pose forecasting. 2019 IEEE Winter Conference on Applications of Computer Vision (WACV) pp. 1423–1432 (2019)
2019
Cited alongside, same era.
Huang, Y., Bi, H., Li, Z., Mao, T., Wang, Z.: Stgat: Modeling spatial-temporal interactions for human trajectory prediction. In: Proceedings of the IEEE/CVF international conference on computer vision. pp. 6272–6281 (2019)
2019
Cited alongside, same era.
Kosaraju, V., Sadeghian, A., Martín-Martín, R., Reid, I.D., Rezatofighi, S.H., Savarese, S.: Social-bigat: Multimodal trajectory forecasting using bicycle-gan and graph attention networks. In: NeurIPS (2019)
2019
Cited alongside, same era.
Mahmood, N., Ghorbani, N., Troje, N.F., Pons-Moll, G., Black, M.J.: AMASS: Archive of motion capture as surface shapes. In: International Conference on Computer Vision. pp. 5442–5451 (Oct 2019)
2019
Cited alongside, same era.
Adeli, V., Ehsanpour, M., Reid, I., Niebles, J.C., Savarese, S., Adeli, E., Rezatofighi, H.: Tripod: Human trajectory and pose dynamics forecasting in the wild. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 13390–13400 (2021)
2021
Later among the works it cites.
Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., Uszkoreit, J., Houlsby, N.: An image is worth 16x16 words: Transformers for image recognition at scale. ICLR (2021)
2021
Later among the works it cites.
Giuliari, F., Hasan, I., Cristani, M., Galasso, F.: Transformer networks for trajectory forecasting. 2020 25th International Conference on Pattern Recognition (ICPR) pp. 10335–10342 (2021)
2021
Later among the works it cites.
Lin, K., Wang, L., Liu, Z.: End-to-end human pose and mesh reconstruction with transformers. In: CVPR (2021)
2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Mao, W., Liu, M., Salzmann, M., Li, H.: Learning trajectory dependencies for human motion prediction. 2019 IEEE/CVF International Conference on Computer Vision (ICCV) pp. 9488–9496 (2019)
2019
Cited alongside, same era.
Sadeghian, A., Kosaraju, V., Sadeghian, A., Hirose, N., Savarese, S.: Sophie: An attentive gan for predicting paths compliant to social and physical constraints. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) pp. 1349–1358 (2019)
2019
Cited alongside, same era.
Adeli, V., Adeli, E., Reid, I.D., Niebles, J.C., Rezatofighi, H.: Socially and contextually aware human motion and pose forecasting. IEEE Robotics and Automation Letters
2020
Cited alongside, same era.
Cai, Y., Huang, L., Wang, Y., Cham, T.J., Cai, J., Yuan, J., Liu, J., Yang, X., Zhu, Y., Shen, X., et al.: Learning progressive joint propagation for human motion prediction. In: European Conference on Computer Vision. pp. 226–242. Springer (2020)
2020
Cited alongside, same era.
Li, L.L., Yang, B., Liang, M., Zeng, W., Ren, M., Segal, S., Urtasun, R.: End-to-end contextual perception and prediction with interaction transformer. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) pp. 5784–5791 (2020)
2020
Cited alongside, same era.
Mao, W., Liu, M., Salzmann, M.: History repeats itself: Human motion prediction via motion attention. In: ECCV (2020)
2020
Cited alongside, same era.
Yu, C., Ma, X., Ren, J., Zhao, H., Yi, S.: Spatio-temporal graph transformer networks for pedestrian trajectory prediction. In: ECCV (2020)
2020
Cited alongside, same era.
Liu, Y., Zhang, J., Fang, L., Jiang, Q., Zhou, B.: Multimodal motion prediction with stacked transformers. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) pp. 7573–7582 (2021)
2021
Later among the works it cites.
Mao, W., Liu, M., Salzmann, M., Li, H.: Multi-level motion attention for human motion prediction. Int. J. Comput. Vis
2021
Later among the works it cites.
Mart’inez-Gonz’alez, A., Villamizar, M., Odobez, J.M.: Pose transformers (potr): Human motion prediction with non-autoregressive transformers. 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) pp. 2276–2284 (2021)
2021
Later among the works it cites.
Parsaeifard, B., Saadatnejad, S., Liu, Y., Mordan, T., Alahi, A.: Learning decoupled representations for human pose forecasting. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 2294–2303 (2021)
2021
Later among the works it cites.
Wang, C., Wang, Y., Huang, Z., Chen, Z.: Simple baseline for single human motion forecasting. 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) pp. 2260–2265 (2021)
2021
Later among the works it cites.
Wang, J., Xu, H., Narasimhan, M., Wang, X.: Multi-person 3d motion prediction with multi-range transformers. Advances in Neural Information Processing Systems
2021
Later among the works it cites.