A Manifold Learning based Video Prediction approach for Deep Motion Transfer.
Yuliang CaiSumit MohanAdithya NiranjanNilesh JainAlex CloningerSrinjoy DasPublished in: ICCVW (2021)
Keyphrases
- manifold learning
- space time
- low dimensional
- diffusion maps
- nonlinear dimensionality reduction
- dimensionality reduction
- video sequences
- semi supervised
- laplacian eigenmaps
- static images
- high dimensional
- dimension reduction
- visual data
- video data
- high dimensional data
- subspace learning
- feature extraction
- human motion
- motion estimation
- manifold embedding
- video frames
- sparse representation
- principal component analysis
- human actions
- optical flow
- video objects
- moving objects
- image sequences
- manifold structure
- feature selection
- data points
- locally linear embedding
- pairwise
- low dimensional manifolds
- data sets