334 citations · 652 across the 18 of their papers we have counts for
5 papers · 1 filter
Recurrent Neural Networks for Semantic Instance Segmentation
Amaia Salvador, Miriam Bellver, Victor Campos +4
We present a recurrent model for semantic instance segmentation that sequentially generates binary masks and their associated class probabilities for every object in an image. Our…
Detection-aided liver lesion segmentation using deep learning
Miriam Bellver, Kevis-Kokitsi Maninis, Jordi Pont-Tuset +3
A fully automatic technique for segmenting the liver and localizing its unhealthy tissues is a convenient tool in order to diagnose hepatic diseases and assess the response to the…
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Victor Campos, Brendan Jou, Xavier Giro-i-Nieto +2
Recurrent Neural Networks (RNNs) continue to show outstanding performance in sequence modeling tasks. However, training RNNs on long sequences often face challenges like slow infer…
Disentangling Motion, Foreground and Background Features in Videos
Xunyu Lin, Victor Campos, Xavier Giro-i-Nieto +2
This paper introduces an unsupervised framework to extract semantically rich features for video representation. Inspired by how the human visual system groups objects based on moti…
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
Junting Pan, Cristian Canton Ferrer, Kevin McGuinness +4
We introduce SalGAN, a deep convolutional neural network for visual saliency prediction trained with adversarial examples. The first stage of the network consists of a generator mo…