While learned video codecs have demonstrated great promise, they have ye...
We present a new algorithm for video coding, learned end-to-end for the
...
We present a machine learning-based approach to lossy image compression ...
Distance metric learning (DML) approaches learn a transformation to a
re...
Discrete Fourier transforms provide a significant speedup in the computa...
Bayesian optimization is an effective methodology for the global optimiz...
Choosing appropriate architectures and regularization strategies for dee...
In this paper, we study ordered representations of data in which differe...
One of the fundamental problems in machine learning is the estimation of...