activity
20172020
most citedContext Augmentation for Convolutional Neural Networks

3 citations · 5 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV2020

Polyblur: Removing mild blur by polynomial reblurring

Mauricio Delbracio, Ignacio Garcia-Dorado, Sungjoon Choi +2

We present a highly efficient blind restoration method to remove mild blur in natural images. Contrary to the mainstream, we focus on removing slight blur that is often present, da…

cs.GR20202 cited

Image Stylization: From Predefined to Personalized

Ignacio Garcia-Dorado, Pascal Getreuer, Bartlomiej Wronski +1

We present a framework for interactive design of new image stylizations using a wide range of predefined filter blocks. Both novel and off-the-shelf image filtering and rendering t…

cs.CV2019

Handheld Multi-Frame Super-Resolution

Bartlomiej Wronski, Ignacio Garcia-Dorado, Manfred Ernst +5

Compared to DSLR cameras, smartphone cameras have smaller sensors, which limits their spatial resolution; smaller apertures, which limits their light gathering ability; and smaller…

cs.CY2018

Architecture for Modular Microsimulation of Real Estate Markets and Transportation

Paul Waddell, Ignacio Garcia-Dorado, Samuel M. Maurer +4

Integrating land use, travel demand, and traffic models represents a gold standard for regional planning, but is rarely achieved in a meaningful way, especially at the scale of dis…

cs.GR2017

Graphic Narrative with Interactive Stylization Design

Ignacio Garcia-Dorado, Pascal Getreuer, Madison Le +3

We present a system to convert any set of images (e.g., a video clip or a photo album) into a storyboard. We aim to create multiple pleasing graphic representations of the content…

cs.CV20173 cited

Context Augmentation for Convolutional Neural Networks

Aysegul Dundar, Ignacio Garcia-Dorado

Recent enhancements of deep convolutional neural networks (ConvNets) empowered by enormous amounts of labeled data have closed the gap with human performance for many object recogn…