Compression is essential to storing and transmitting medical videos, but...
We consider the attributes of a point cloud as samples of a vector-value...
We present a neural video compression method based on generative adversa...
Pre-trained convolutional neural networks (CNNs) are powerful off-the-sh...
We review a class of methods that can be collected under the name nonlin...
Image compression using neural networks have reached or exceeded non-neu...
In this work, we propose to quantize all parts of standard classificatio...
A rapidly increasing portion of Internet traffic is dominated by request...
For successful deployment of deep neural networks on
highly--resource-co...
We present a full reference, perceptual image metric based on VGG-16, an...
Deep neural networks represent a powerful class of function approximator...
We describe an end-to-end trainable model for image compression based on...
We introduce a stop-code tolerant (SCT) approach to training recurrent
c...
We propose a method for lossy image compression based on recurrent,
conv...
This paper presents a set of full-resolution lossy image compression met...
We present a novel method for aligning a sequence of instructions to a v...