Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach.
Juanwu LuWei ZhanMasayoshi TomizukaYeping HuPublished in: AISTATS (2024)
Keyphrases
- variational bayes
- motion prediction
- short term
- kalman filter
- latent variables
- motion estimation
- bayesian inference
- free energy
- hyperparameters
- bayesian learning
- posterior distribution
- long term
- gaussian mixture model
- motion vectors
- exponential family
- latent dirichlet allocation
- video coding
- rate distortion
- log likelihood
- maximum likelihood
- model selection
- inter layer
- prior information
- expectation maximization
- super resolution
- motion compensation
- bayesian framework
- maximum a posteriori
- computer vision
- feature vectors
- image sequences
- higher order
- image segmentation