Deep Learning for Computer Vision depends mainly on the source of
superv...
We propose a novel representation for dense pixel-wise estimation tasks ...
Querying the content of images, video, and other non-textual data source...
We present a parameterized synthetic dataset called Moving Symbols to su...
We introduce CARLA, an open-source simulator for autonomous driving rese...
Supervised learning tends to produce more accurate classifiers than
unsu...
In this work we investigate the problem of road scene semantic segmentat...
We address the problem of efficient sparse fixed-rank (S-FR) matrix
deco...
In this work, we address the problem of outlier detection for robust mot...