Learning to Decompose and Disentangle Representations for Video
Prediction

Learning to Decompose and Disentangle Representations for Video Prediction

11 June 2018

De-An Huang

Li Fei-Fei

Juan Carlos Niebles

Papers citing "Learning to Decompose and Disentangle Representations for Video Prediction"

6 / 56 papers shown

Title
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video Miguel Jaques Michael G. Burke Timothy M. Hospedales VGen PINN 18 44 0 27 May 2019
Point-to-Point Video Generation Tsun-Hsuan Wang Y. Cheng Chieh Hubert Lin Hwann-Tzong Chen Min Sun VGen DiffM 11 21 0 05 Apr 2019
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects Adam R. Kosiorek Hyunjik Kim Ingmar Posner Yee Whye Teh BDL 8 256 0 05 Jun 2018
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 238 438 0 01 Dec 2016
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 278 1,400 0 01 Dec 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 227 7,903 0 13 Jun 2015