Computer vision using deep neural networks (DNNs) has brought about semi...
Several studies rely on the de facto standard Adaptive Monte Carlo
Local...
With the increasing capabilities of machine learning systems and their
p...
The importance of high data quality is increasing with the growing impac...
Windscreen optical quality is an important aspect of any advanced driver...
Self-supervised multi-object trackers have the potential to leverage the...
Self-supervised feature learning enables perception systems to benefit f...
We consider prophet inequalities for XOS and MPH-k combinatorial auction...
As complex machine learning models are increasingly used in sensitive
ap...
Object detection, for the most part, has been formulated in the euclidea...
Object recognition for the most part has been approached as a one-hot pr...
We consider the problem of posting prices for unit-demand buyers if all ...
We design novel mechanisms for welfare-maximization in two-sided markets...
Predicting future 3D LiDAR pointclouds is a challenging task that is use...