Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach.
Juanwu LuWei ZhanMasayoshi TomizukaYeping HuPublished in: CoRR (2024)
Keyphrases
- variational bayes
- motion prediction
- short term
- bayesian inference
- latent variables
- kalman filter
- hyperparameters
- bayesian learning
- motion estimation
- free energy
- gaussian mixture model
- latent dirichlet allocation
- long term
- posterior distribution
- motion vectors
- exponential family
- model selection
- em algorithm
- video coding
- expectation maximization
- log likelihood
- random sampling
- probabilistic model
- bayesian framework
- rate distortion
- cross validation
- support vector
- object tracking
- neural network
- missing data
- topic models
- particle filter
- optical flow