Adriana Romero

45 papers A* 5C 1Misc 1Journal 24Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Multi-Frequency Regularized Approach for Simultaneous Estimation of the Acoustic Nonlinearity Parameter and Attenuation Coefficient. ISBI Sebastian Merino, Adriana Romero, Roberto J. Lavarello, Andres Coila
2022	—	`conf`	Biomechanical in silico evaluation of a 3D novel total hip implant with cemented fixation using finite elements. EMBC Sofia Cespedes, Sara Rua, Adriana Romero, Andres Lopez, Uriel Zapata, Fanny L. Casado
2021	J	`jnl`	Active 3D Shape Reconstruction from Vision and Touch. CoRR Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal
2020	A*	`conf`	3D Shape Reconstruction from Vision and Touch. NeurIPS Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
2020	J	`jnl`	3D Shape Reconstruction from Vision and Touch. CoRR Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
2020	—	`conf`	Active MR k-space Sampling with Reinforcement Learning. MICCAI (2) Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal
2020	J	`jnl`	Active MR k-space Sampling with Reinforcement Learning. CoRR Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal
2020	J	`jnl`	Learning to adapt class-specific features across domains for semantic segmentation. CoRR Mikel Menta, Adriana Romero, Joost van de Weijer
2020	J	`jnl`	Post-Workshop Report on Science meets Engineering in Deep Learning, NeurIPS 2019, Vancouver. CoRR Levent Sagun, Çaglar Gülçehre, Adriana Romero, Negar Rostamzadeh, Stefano Sarao Mannelli
2019	—	`conf`	Early Prediction of Alzheimer's Disease Progression Using Variational Autoencoders. MICCAI (4) Sumana Basu, Konrad Wagstyl, Azar Zandifar, D. Louis Collins, Adriana Romero, Doina Precup
2019	J	`jnl`	Elucidating image-to-set prediction: An analysis of models, losses and datasets. CoRR Luis Pineda, Amaia Salvador, Michal Drozdzal, Adriana Romero
2019	A*	`conf`	GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. ICML Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger
2019	J	`jnl`	GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. CoRR Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger
2019	A*	`conf`	Inverse Cooking: Recipe Generation From Food Images. CVPR Amaia Salvador, Michal Drozdzal, Xavier Giró-i-Nieto, Adriana Romero
2019	J	`jnl`	On the Evaluation of Conditional GANs. CoRR Terrance DeVries, Adriana Romero, Luis Pineda, Graham W. Taylor, Michal Drozdzal
2019	A*	`conf`	Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. CVPR Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal
2019	J	`jnl`	Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition. CoRR Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal
2018	—	`conf`	Graph Attention Networks. ICLR (Poster) Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio
2018	J	`jnl`	Inverse Cooking: Recipe Generation from Food Images. CoRR Amaia Salvador, Michal Drozdzal, Xavier Giró-i-Nieto, Adriana Romero
2018	J	`jnl`	Learning normalized inputs for iterative estimation in medical image segmentation. Medical Image Anal. Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Mahsa Shakeri, Lisa Di-Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury
2018	—	`conf`	On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation. CVPR Workshops Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero, Yoshua Bengio
2018	J	`jnl`	On the iterative refinement of densely connected representation levels for semantic segmentation. CoRR Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero, Yoshua Bengio
2018	—	`conf`	WiCV 2018: The Fourth Women in Computer Vision Workshop. CVPR Workshops Ilke Demir, Dena Bazazian, Adriana Romero, Viktoriia Sharmanska, Lyne P. Tchapmi
2018	J	`jnl`	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR 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
2017	—	`conf`	Diet Networks: Thin Parameters for Fat Genomics. ICLR (Poster) Adriana Romero, Pierre Luc Carrier, Akram Erraqabi, Tristan Sylvain, Alex Auvolat, Etienne Dejoie, Marc-André Legault, Marie-Pierre Dubé, Julie G. Hussin, Yoshua Bengio
2017	J	`jnl`	Graph Attention Networks. CoRR Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio
2017	J	`jnl`	Image Segmentation by Iterative Inference from Conditional Score Estimation. CoRR Adriana Romero, Michal Drozdzal, Akram Erraqabi, Simon Jégou, Yoshua Bengio
2017	J	`jnl`	Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation. CoRR Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Lisa Di-Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury
2017	—	`conf`	The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. CVPR Workshops Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio
2016	J	`jnl`	A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images. CoRR David Vázquez, Jorge Bernal, Francisco Javier Sánchez, Gloria Fernández-Esparrach, Antonio M. López, Adriana Romero, Michal Drozdzal, Aaron C. Courville
2016	J	`jnl`	Diet Networks: Thin Parameters for Fat Genomic. CoRR Adriana Romero, Pierre Luc Carrier, Akram Erraqabi, Tristan Sylvain, Alex Auvolat, Etienne Dejoie, Marc-André Legault, Marie-Pierre Dubé, Julie G. Hussin, Yoshua Bengio
2016	—	`conf`	ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation. CVPR Workshops Francesco Visin, Adriana Romero, Kyunghyun Cho, Matteo Matteucci, Marco Ciccone, Kyle Kastner, Yoshua Bengio, Aaron C. Courville
2016	J	`jnl`	The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. CoRR Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio
2016	J	`jnl`	Theano: A Python framework for fast computation of mathematical expressions. CoRR 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
2016	J	`jnl`	Unsupervised Deep Feature Extraction for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. Adriana Romero, Carlo Gatta, Gustau Camps-Valls
2015	—	`conf`	FitNets: Hints for Thin Deep Nets. ICLR (Poster) Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, Yoshua Bengio
2015	J	`jnl`	Meta-Parameter Free Unsupervised Sparse Feature Learning. IEEE Trans. Pattern Anal. Mach. Intell. Adriana Romero, Petia Radeva, Carlo Gatta
2015	C	`conf`	Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination. IGARSS Manuel Campos-Taberner, Adriana Romero, Carlo Gatta, Gustau Camps-Valls
2015	J	`jnl`	Unsupervised Deep Feature Extraction for Remote Sensing Image Classification. CoRR Adriana Romero, Carlo Gatta, Gustau Camps-Valls
2014	J	`jnl`	No more meta-parameter tuning in unsupervised sparse feature learning. CoRR Adriana Romero, Petia Radeva, Carlo Gatta
2014	—	`conf`	Unrolling Loopy Top-Down Semantic Feedback in Convolutional Deep Networks. CVPR Workshops Carlo Gatta, Adriana Romero, Joost van de Weijer
2014	—	`conf`	Unsupervised deep feature extraction of hyperspectral images. WHISPERS Adriana Romero, Carlo Gatta, Gustavo Camps-Valls
2013	Misc	`conf`	Do We Really Need All These Neurons? IbPRIA Adriana Romero, Carlo Gatta
2012	—	`conf`	Robust and Accurate Diaphragm Border Detection in Cardiac X-Ray Angiographies. STACOM Simeon Petkov, Adriana Romero, Xavier Carrillo Suarez, Petia Radeva, Carlo Gatta
2011	A*	`conf`	Simultaneous correspondence and non-rigid 3D reconstruction of the coronary tree from single X-ray images. ICCV Eduard Serradell, Adriana Romero, Ruben Leta, Carlo Gatta, Francesc Moreno-Noguer