Fetching the paper…
Reading the bibliography…
Parkinson's disease (PD) is a progressive neurological disorder primarily affecting motor function resulting in tremor at rest, rigidity, bradykinesia, and postural instability.
Kuhn, H.W.: The hungarian method for the assignment problem. Naval research logistics quarterly 2(1-2), 83–97 (1955)
1955
Earlier work this paper cites.
Kalman, R.E.: A new approach to linear filtering and prediction problems (1960)
1960
Earlier work this paper cites.
Wilcoxon, F.: Individual comparisons by ranking methods. In: Breakthroughs in statistics, pp. 196–202. Springer (1992)
1992
Earlier work this paper cites.
Wang, L., Tan, T., Ning, H., Hu, W.: Silhouette analysis-based gait recognition for human identification. PAMI 25(12), 1505–1518 (2003)
2003
Earlier work this paper cites.
Rennie, J.D., Srebro, N.: Loss functions for preference levels: Regression with discrete ordered labels. In: IJCAI workshop advances in preference handling (2005)
2005
Earlier work this paper cites.
Han, J., Jeon, H.S., Jeon, B.S., Park, K.S.: Gait detection from three dimensional acceleration signals of ankles for the patients with parkinson’s disease. In: Proceedings of the IEEE The International Special Topic Conference on Information Technology in Biomedicine, Ioannina, Epirus, Greece. vol. 2628 (2006)
2006
Earlier work this paper cites.
Goetz, C.G., Tilley, B.C., Shaftman, S.R., Stebbins, G.T., Fahn, S., Martinez-Martin, P., Poewe, W., Sampaio, C., Stern, M.B., Dodel, R., et al.: Movement disorder society-sponsored revision of the unified parkinson’s disease rating scale (mds-updrs): scale presentation and clinimetric testing results. Movement disorders: official journal of the Movement Disorder Society 23(15), 2129–2170 (2008)
2008
Earlier work this paper cites.
Cho, C.W., Chao, W.H., Lin, S.H., Chen, Y.Y.: A vision-based analysis system for gait recognition in patients with parkinson’s disease. Expert Systems with applications 36(3), 7033–7039 (2009)
2009
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. IEEE transactions on pattern analysis and machine intelligence 36(7), 1325–1339 (2013)
2013
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: Proceedings of the IEEE Conference on computer Vision and Pattern Recognition. pp. 3686–3693 (2014)
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
Loper, M., Mahmood, N., Romero, J., Pons-Moll, G., Black, M.J.: Smpl: A skinned multi-person linear model. ACM Trans on graphics 34(6), 1–16 (2015)
2015
Cited alongside, same era.
Adeli, E., Shi, F., An, L., Wee, C.Y., Wu, G., Wang, T., Shen, D.: Joint feature-sample selection and robust diagnosis of parkinson’s disease from mri data. NeuroImage 141, 206–219 (2016)
2016
Cited alongside, same era.
Bewley, A., Ge, Z., Ott, L., Ramos, F., Upcroft, B.: Simple online and realtime tracking. In: ICIP. pp. 3464–3468. IEEE (2016)
2016
Cited alongside, same era.
Bogo, F., Kanazawa, A., Lassner, C., Gehler, P., Romero, J., Black, M.J.: Keep it smpl: Automatic estimation of 3d human pose and shape from a single image. In: ECCV. pp. 561–578. Springer (2016)
2016
Cited alongside, same era.
Pang, L., Lan, Y., Guo, J., Xu, J., Xu, J., Cheng, X.: Deeprank: A new deep architecture for relevance ranking in information retrieval. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. pp. 257–266 (2017)
2017
Later among the works it cites.
Kanazawa, A., Black, M.J., Jacobs, D.W., Malik, J.: End-to-end recovery of human shape and pose. In: CVPR. pp. 7122–7131 (2018)
2018
Later among the works it cites.
2018
Later among the works it cites.
Bharti, K., Suppa, A., Tommasin, S., Zampogna, A., Pietracupa, S., Berardelli, A., Pantano, P.: Neuroimaging advances in parkinson’s disease with freezing of gait: A systematic review. NeuroImage: Clinical p. 102059 (2019)
2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2016
Cited alongside, same era.
Redmon, J.: Darknet: Open source neural networks in c. http://pjreddie.com/darknet/
2016
Cited alongside, same era.
Venuto, C.S., Potter, N.B., Ray Dorsey, E., Kieburtz, K.: A review of disease progression models of parkinson’s disease and applications in clinical trials. Movement Disorders 31(7), 947–956 (2016)
2016
Cited alongside, same era.
Cao, Z., Simon, T., Wei, S.E., Sheikh, Y.: Realtime multi-person 2d pose estimation using part affinity fields. In: CVPR (2017)
2017
Cited alongside, same era.
Lin, T.Y., Goyal, P., Girshick, R., He, K., Dollár, P.: Focal loss for dense object detection. In: CVPR. pp. 2980–2988 (2017)
2017
Cited alongside, same era.
Mehta, D., Sridhar, S., Sotnychenko, O., Rhodin, H., Shafiei, M., Seidel, H.P., Xu, W., Casas, D., Theobalt, C.: Vnect: Real-time 3d human pose estimation with a single rgb camera. vol. 36 (2017), http://gvv.mpi-inf.mpg.de/projects/VNect/
2017
Cited alongside, same era.
Chiu, H.k., Adeli, E., Wang, B., Huang, D.A., Niebles, J.C.: Action-agnostic human pose forecasting. In: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). pp. 1423–1432. IEEE (2019)
2019
Later among the works it cites.
Evers, L.J., Krijthe, J.H., Meinders, M.J., Bloem, B.R., Heskes, T.M.: Measuring parkinson’s disease over time: The real-world within-subject reliability of the mds-updrs. Movement Disorders 34(10), 1480–1487 (2019)
2019
Later among the works it cites.
Hobert, M.A., Nussbaum, S., Heger, T., Berg, D., Maetzler, W., Heinzel, S.: Progressive gait deficits in parkinson’s disease: A wearable-based biannual 5-year prospective study. Frontiers in aging neuroscience 11, 22 (2019)
2019
Later among the works it cites.
Hssayeni, M.D., Jimenez-Shahed, J., Burack, M.A., Ghoraani, B.: Wearable sensors for estimation of parkinsonian tremor severity during free body movements. Sensors 19(19), 4215 (2019)
2019
Later among the works it cites.
Kolotouros, N., Pavlakos, G., Black, M.J., Daniilidis, K.: Learning to reconstruct 3D human pose and shape via model-fitting in the loop. In: ICCV (2019)
2019
Later among the works it cites.