Image semantic segmentation is more and more being of interest for computer vision and
machine learning researchers. Many applications on the rise need accurate and efficient …

Abstract Simultaneous Localization and Mapping (SLAM) with an astonishing research
history of over three decades has brought the concept to the door step of truly autonomous …

Autonomous vehicle (AV) software is typically composed of a pipeline of individual
components, linking sensor inputs to motor outputs. Erroneous component outputs …

Analyzing human actions in videos has gained increased attention recently. While most
works focus on classifying and labeling observed video frames or anticipating the very …

It is important for intelligent systems, eg autonomous vehicles and robotics to anticipate the
future in order to plan early and make decisions accordingly. Predicting the future scene …

Tumor growth is associated with cell invasion and mass-effect, which are traditionally
formulated by mathematical models, namely reaction-diffusion equations and biomechanics …

Despite recent emergence of adversarial based methods for video prediction, existing
algorithms often produce unsatisfied results in image regions with rich structural information …

Predicting the future is an important aspect for decision-making in robotics or autonomous
driving systems, which heavily rely upon visual scene understanding. While prior work …

We address the problem of incrementally modeling and forecasting long-term goals of a first-
person camera wearer: what the user will do, where they will go, and what goal they seek. In …

Making predictions of future frames is a critical challenge in autonomous driving research.
Most of the existing methods for video prediction attempt to generate future frames in simple …