Recent years have seen an unprecedented spread of Unmanned Aerial Vehicles (UAVs, or
“drones”), which are highly useful for both civilian and military applications. Flight safety is a …

We propose a technique that propagates information forward through video data. The
method is conceptually simple and can be applied to tasks that require the propagation of …

In this work, we propose a technique to convert CNN models for semantic segmentation of
static images into CNNs for video data. We describe a warping method that can be used to …

Autonomous vehicles have found wide-ranging adoption in aerospace, terrestrial as well as
marine use. These systems often operate in uncertain environments and in the presence of …

Deep learning and convolutional neural networks have become the dominant tool for
computer vision. These techniques excel at learning complicated representations from data …

In this paper we present Stixmantics, a novel medium-level scene representation for real-
time visual semantic scene understanding. Relevant scene structure, motion and object …

We propose a novel neural network module that transforms an existing single-frame
semantic segmentation model into a video semantic segmentation pipeline. In contrast to …

We address the problem of image-based scene analysis from streaming video, as would be
seen from a moving platform, in order to efficiently generate spatially and temporally …

This paper presents a centralized, vision-based method for robust, on-the-fly 3D localization
and mapping of human crowds in large-scale outdoor environments, assuming their …

Autonomous vehicles have found wide-ranging adoption in aerospace, terrestrial as well as
marine use. These systems often operate in uncertain environments and in the presence of …