Adriana Romero

According to our database1, Adriana Romero authored at least 22 papers between 2011 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Learning normalized inputs for iterative estimation in medical image segmentation.
Medical Image Analysis, 2018

On the iterative refinement of densely connected representation levels for semantic segmentation.
CoRR, 2018

2017
Graph Attention Networks.
CoRR, 2017

Image Segmentation by Iterative Inference from Conditional Score Estimation.
CoRR, 2017

Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation.
CoRR, 2017

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2016

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images.
CoRR, 2016

Diet Networks: Thin Parameters for Fat Genomic.
CoRR, 2016

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation.
CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Meta-Parameter Free Unsupervised Sparse Feature Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Unsupervised Deep Feature Extraction for Remote Sensing Image Classification.
CoRR, 2015

Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
No more meta-parameter tuning in unsupervised sparse feature learning.
CoRR, 2014

FitNets: Hints for Thin Deep Nets.
CoRR, 2014

Unsupervised deep feature extraction of hyperspectral images.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Unrolling Loopy Top-Down Semantic Feedback in Convolutional Deep Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Do We Really Need All These Neurons?
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

2012
Robust and Accurate Diaphragm Border Detection in Cardiac X-Ray Angiographies.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2012

2011
Simultaneous correspondence and non-rigid 3D reconstruction of the coronary tree from single X-ray images.
Proceedings of the IEEE International Conference on Computer Vision, 2011


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