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Adriana Romero
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2020 – today
- 2022
- [c20]Sofia Cespedes, Sara Rua
, Adriana Romero, Andres Lopez, Uriel Zapata
Biomechanical in silico evaluation of a 3D novel total hip implant with cemented fixation using finite elements. EMBC 2022: 2523-2526 - 2021
- [i21]Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal:
Active 3D Shape Reconstruction from Vision and Touch. CoRR abs/2107.09584 (2021) - 2020
- [c19]Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra
Active MR k-space Sampling with Reinforcement Learning. MICCAI (2) 2020: 23-33 - [c18]Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal:
3D Shape Reconstruction from Vision and Touch. NeurIPS 2020 - [i20]Mikel Menta, Adriana Romero, Joost van de Weijer:
Learning to adapt class-specific features across domains for semantic segmentation. CoRR abs/2001.08311 (2020) - [i19]Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal:
3D Shape Reconstruction from Vision and Touch. CoRR abs/2007.03778 (2020) - [i18]Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal:
Active MR k-space Sampling with Reinforcement Learning. CoRR abs/2007.10469 (2020) - [i17]Levent Sagun, Çaglar Gülçehre, Adriana Romero, Negar Rostamzadeh, Stefano Sarao Mannelli:
Post-Workshop Report on Science meets Engineering in Deep Learning, NeurIPS 2019, Vancouver. CoRR abs/2007.13483 (2020)
2010 – 2019
- 2019
- [c17]Zizhao Zhang, Adriana Romero, Matthew J. Muckley
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. CVPR 2019: 2049-2058 - [c16]Amaia Salvador, Michal Drozdzal, Xavier Giró-i-Nieto
Inverse Cooking: Recipe Generation From Food Images. CVPR 2019: 10453-10462 - [c15]Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger:
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. ICML 2019: 5866-5876 - [c14]Sumana Basu, Konrad Wagstyl, Azar Zandifar, D. Louis Collins
Early Prediction of Alzheimer's Disease Progression Using Variational Autoencoders. MICCAI (4) 2019: 205-213 - [i16]Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger:
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. CoRR abs/1901.11461 (2019) - [i15]Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal:
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition. CoRR abs/1902.03051 (2019) - [i14]Luis Pineda, Amaia Salvador, Michal Drozdzal, Adriana Romero:
Elucidating image-to-set prediction: An analysis of models, losses and datasets. CoRR abs/1904.05709 (2019) - [i13]Terrance DeVries, Adriana Romero, Luis Pineda, Graham W. Taylor, Michal Drozdzal:
On the Evaluation of Conditional GANs. CoRR abs/1907.08175 (2019) - 2018
- [j3]Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Mahsa Shakeri, Lisa Di-Jorio, An Tang
Learning normalized inputs for iterative estimation in medical image segmentation. Medical Image Anal. 44: 1-13 (2018) - [c13]Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero, Yoshua Bengio:
On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation. CVPR Workshops 2018: 978-987 - [c12]Ilke Demir
WiCV 2018: The Fourth Women in Computer Vision Workshop. CVPR Workshops 2018: 1860-1862 - [c11]Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio:
Graph Attention Networks. ICLR (Poster) 2018 - [i12]Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero, Yoshua Bengio:
On the iterative refinement of densely connected representation levels for semantic segmentation. CoRR abs/1804.11332 (2018) - [i11]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:
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR abs/1811.08839 (2018) - [i10]Amaia Salvador, Michal Drozdzal, Xavier Giró-i-Nieto, Adriana Romero:
Inverse Cooking: Recipe Generation from Food Images. CoRR abs/1812.06164 (2018) - 2017
- [c10]Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio:
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. CVPR Workshops 2017: 1175-1183 - [c9]Adriana Romero, Pierre Luc Carrier, Akram Erraqabi, Tristan Sylvain, Alex Auvolat, Etienne Dejoie, Marc-André Legault, Marie-Pierre Dubé, Julie G. Hussin, Yoshua Bengio:
Diet Networks: Thin Parameters for Fat Genomics. ICLR (Poster) 2017 - [i9]Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Lisa Di-Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury:
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation. CoRR abs/1702.05174 (2017) - [i8]Adriana Romero, Michal Drozdzal, Akram Erraqabi, Simon Jégou, Yoshua Bengio:
Image Segmentation by Iterative Inference from Conditional Score Estimation. CoRR abs/1705.07450 (2017) - [i7]Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio:
Graph Attention Networks. CoRR abs/1710.10903 (2017) - 2016
- [j2]Adriana Romero, Carlo Gatta, Gustau Camps-Valls
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 54(3): 1349-1362 (2016) - [c8]Francesco Visin, Adriana Romero, Kyunghyun Cho, Matteo Matteucci, Marco Ciccone, Kyle Kastner, Yoshua Bengio, Aaron C. Courville:
ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation. CVPR Workshops 2016: 426-433 - [i6]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:
Theano: A Python framework for fast computation of mathematical expressions. CoRR abs/1605.02688 (2016) - [i5]Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio:
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. CoRR abs/1611.09326 (2016) - [i4]Adriana Romero, Pierre Luc Carrier, Akram Erraqabi, Tristan Sylvain, Alex Auvolat
Diet Networks: Thin Parameters for Fat Genomic. CoRR abs/1611.09340 (2016) - [i3]David Vázquez, Jorge Bernal, Francisco Javier Sánchez, Gloria Fernández-Esparrach, Antonio M. López, Adriana Romero, Michal Drozdzal, Aaron C. Courville:
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images. CoRR abs/1612.00799 (2016) - 2015
- [j1]Adriana Romero, Petia Radeva
Meta-Parameter Free Unsupervised Sparse Feature Learning. IEEE Trans. Pattern Anal. Mach. Intell. 37(8): 1716-1722 (2015) - [c7]Manuel Campos-Taberner
Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination. IGARSS 2015: 4169-4172 - [c6]Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, Yoshua Bengio:
FitNets: Hints for Thin Deep Nets. ICLR (Poster) 2015 - [i2]Adriana Romero, Carlo Gatta, Gustau Camps-Valls:
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification. CoRR abs/1511.08131 (2015) - 2014
- [c5]Carlo Gatta, Adriana Romero, Joost van de Weijer
Unrolling Loopy Top-Down Semantic Feedback in Convolutional Deep Networks. CVPR Workshops 2014: 504-511 - [c4]Adriana Romero, Carlo Gatta, Gustavo Camps-Valls
Unsupervised deep feature extraction of hyperspectral images. WHISPERS 2014: 1-4 - [i1]Adriana Romero, Petia Radeva, Carlo Gatta:
No more meta-parameter tuning in unsupervised sparse feature learning. CoRR abs/1402.5766 (2014) - 2013
- [c3]Adriana Romero, Carlo Gatta:
Do We Really Need All These Neurons? IbPRIA 2013: 460-467 - 2012
- [c2]Simeon Petkov, Adriana Romero, Xavier Carrillo Suarez, Petia Radeva
Robust and Accurate Diaphragm Border Detection in Cardiac X-Ray Angiographies. STACOM 2012: 225-234 - 2011
- [c1]Eduard Serradell, Adriana Romero, Ruben Leta, Carlo Gatta, Francesc Moreno-Noguer
Simultaneous correspondence and non-rigid 3D reconstruction of the coronary tree from single X-ray images. ICCV 2011: 850-857
Coauthor Index
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