Adriana Romero

According to our database, Adriana Romero authored at least 35 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Biomechanical in silico evaluation of a 3D novel total hip implant with cemented fixation using finite elements.

Sofia Cespedes, Sara Rua, Adriana Romero, Andres Lopez, Uriel Zapata, Fanny L. Casado

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Active 3D Shape Reconstruction from Vision and Touch.

Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal

CoRR, 2021

2020

Post-Workshop Report on Science meets Engineering in Deep Learning, NeurIPS 2019, Vancouver.

Levent Sagun, Çaglar Gülçehre, Adriana Romero, Negar Rostamzadeh, Stefano Sarao Mannelli

CoRR, 2020

Learning to adapt class-specific features across domains for semantic segmentation.

Mikel Menta, Adriana Romero, Joost van de Weijer

CoRR, 2020

3D Shape Reconstruction from Vision and Touch.

Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Active MR k-space Sampling with Reinforcement Learning.

Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

On the Evaluation of Conditional GANs.

Terrance DeVries, Adriana Romero, Luis Pineda, Graham W. Taylor, Michal Drozdzal

CoRR, 2019

Elucidating image-to-set prediction: An analysis of models, losses and datasets.

Luis Pineda, Amaia Salvador, Michal Drozdzal, Adriana Romero

CoRR, 2019

Early Prediction of Alzheimer's Disease Progression Using Variational Autoencoders.

Sumana Basu, Konrad Wagstyl, Azar Zandifar, D. Louis Collins, Adriana Romero, Doina Precup

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects.

Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger

Proceedings of the 36th International Conference on Machine Learning, 2019

Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition.

Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Inverse Cooking: Recipe Generation From Food Images.

Amaia Salvador, Michal Drozdzal, Xavier Giró-i-Nieto, Adriana Romero

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Learning normalized inputs for iterative estimation in medical image segmentation.

Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Mahsa Shakeri, Lisa Di-Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury

Medical Image Anal., 2018

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.

Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui

CoRR, 2018

Graph Attention Networks.

Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio

Proceedings of the 6th International Conference on Learning Representations, 2018

WiCV 2018: The Fourth Women in Computer Vision Workshop.

Ilke Demir, Dena Bazazian, Adriana Romero, Viktoriia Sharmanska, Lyne P. Tchapmi

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation.

Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero, Yoshua Bengio

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Image Segmentation by Iterative Inference from Conditional Score Estimation.

Adriana Romero, Michal Drozdzal, Akram Erraqabi, Simon Jégou, Yoshua Bengio

CoRR, 2017

Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation.

Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Lisa Di-Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury

CoRR, 2017

Diet Networks: Thin Parameters for Fat Genomics.

Adriana Romero, Pierre Luc Carrier, Akram Erraqabi, Tristan Sylvain, Alex Auvolat, Etienne Dejoie, Marc-André Legault, Marie-Pierre Dubé, Julie G. Hussin, Yoshua Bengio

Proceedings of the 5th International Conference on Learning Representations, 2017

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

Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Unsupervised Deep Feature Extraction for Remote Sensing Image Classification.

Adriana Romero, Carlo Gatta, Gustau Camps-Valls

IEEE Trans. Geosci. Remote. Sens., 2016

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images.

David Vázquez, Jorge Bernal, Francisco Javier Sánchez, Gloria Fernández-Esparrach, Antonio M. López, Adriana Romero, Michal Drozdzal, Aaron C. Courville

CoRR, 2016

Diet Networks: Thin Parameters for Fat Genomic.

Adriana Romero, Pierre Luc Carrier, Akram Erraqabi, Tristan Sylvain, Alex Auvolat, Etienne Dejoie, Marc-André Legault, Marie-Pierre Dubé, Julie G. Hussin, Yoshua Bengio

CoRR, 2016

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

Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

CoRR, 2016

ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation.

Francesco Visin, Adriana Romero, Kyunghyun Cho, Matteo Matteucci, Marco Ciccone, Kyle Kastner, Yoshua Bengio, Aaron C. Courville

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

Meta-Parameter Free Unsupervised Sparse Feature Learning.

Adriana Romero, Petia Radeva, Carlo Gatta

IEEE Trans. Pattern Anal. Mach. Intell., 2015

FitNets: Hints for Thin Deep Nets.

Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, Yoshua Bengio

Proceedings of the 3rd International Conference on Learning Representations, 2015

Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination.

Manuel Campos-Taberner, Adriana Romero, Carlo Gatta, Gustau Camps-Valls

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

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

Adriana Romero, Petia Radeva, Carlo Gatta

CoRR, 2014

Unsupervised deep feature extraction of hyperspectral images.

Adriana Romero, Carlo Gatta, Gustavo Camps-Valls

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.

Carlo Gatta, Adriana Romero, Joost van de Weijer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Do We Really Need All These Neurons?

Adriana Romero, Carlo Gatta

Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

2012

Robust and Accurate Diaphragm Border Detection in Cardiac X-Ray Angiographies.

Simeon Petkov, Adriana Romero, Xavier Carrillo Suarez, Petia Radeva, Carlo Gatta

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.

Eduard Serradell, Adriana Romero, Ruben Leta, Carlo Gatta, Francesc Moreno-Noguer

Proceedings of the IEEE International Conference on Computer Vision, 2011