VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts

12 March 2021

Papers citing "VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts"

4 / 4 papers shown

Title
Learning Interpretable Low-dimensional Representation via Physical Symmetry Xuanjie Liu Daniel Y. Chin Yichen Huang Gus Xia 26 3 0 05 Feb 2023
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 184 313 0 07 Feb 2020
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 280 1,400 0 01 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,225 0 16 Nov 2016