The ability to predict, anticipate and reason about future outcomes is a key component of
intelligent decision-making systems. In light of the success of deep learning in computer …

Predicting and anticipating future outcomes or reasoning about missing information in a
sequence are critical skills for agents to be able to make intelligent decisions. This requires …

We propose an architecture and training scheme to predict video frames by explicitly
modeling dis-occlusions and capturing the evolution of semantically consistent regions in …

In this article, we propose a deep reinforcement learning (DRL) algorithm as well as a novel
tailored neural network architecture for mobile robots to learn navigation policies …

Vision-based prediction algorithms have a wide range of applications including autonomous
driving, surveillance, human-robot interaction, weather prediction. The objective of this …

We motivate the desire for self-driving and explain its potential and limitations, and explore
the need for—and potential implementation of—morals, ethics, and other value systems as …

We address anticipation of scene development by forecasting semantic segmentation of
future frames. Several previous works approach this problem by F2F (feature-to-feature) …

Highly reliable situation awareness is a main driver to enhance safety via autonomous
technology in the marine industry. Groundings, ship collisions and collisions with bridges …

Future segmentation prediction aims to predict the segmentation masks for unobserved
future frames. Most existing works addressed it by directly predicting the intermediate …

Our goal is to forecast the near future given a set of recent observations. We think this ability
to forecast, ie, to anticipate, is integral for the success of autonomous agents which need not …