The accurate modeling of dynamics in interactive environments is critica...
The analysis of 3D point clouds has diverse applications in robotics, vi...
We consider how to directly extract a road map (also known as a topologi...
In recent years there has been a resurgence of interest in our community...
In Reinforcement Learning (RL), Convolutional Neural Networks(CNNs) have...
We combine ideas from shock graph theory with more recent appearance-bas...
Affinity graphs are widely used in deep architectures, including graph
c...
View based strategies for 3D object recognition have proven to be very
s...
Attention networks show promise for both vision and language tasks, by
e...
Computing object skeletons in natural images is challenging, owing to la...
The computer vision community has witnessed recent advances in scene
cat...
Diffusion magnetic resonance imaging, a non-invasive tool to infer white...
Feature learning on point clouds has shown great promise, with the
intro...