Non-intrusive, real-time analysis of the dynamics of the eye region allo...
We describe a design principle for adaptive systems under which adaptati...
Lexicase selection is a widely used parent selection algorithm in geneti...
Halftoning aims to reproduce a continuous-tone image with pixels whose
i...
LiDAR mapping is important yet challenging in self-driving and mobile
ro...
Recent advancements in quantum computing have shown promising computatio...
Lexicase selection is a semantic-aware parent selection method, which
as...
Visual place recognition (VPR) using deep networks has achieved
state-of...
Deep neural networks have recently succeeded in digital halftoning using...
Over-parameterization is one of the inherent characteristics of modern d...
PoseNet can map a photo to the position where it is taken, which is appe...
Recently, generative adversarial networks (GANs) can generate photo-real...
Object detection is a critical part of visual scene understanding. The
r...
While recent advances in deep learning have significantly advanced the s...
Semantic scene segmentation has primarily been addressed by forming
repr...
In this paper, the dynamic constrained optimization problem of weights
a...
We propose DeepMapping, a novel registration framework using deep neural...
In this work, we address the task of weakly-supervised human action
segm...
Today, and possibly for a long time to come, the full driving task is to...
Action segmentation as a milestone towards building automatic systems to...