Adriana Romero-Soriano
Adriana Romero-Soriano
Fundamental AI Research, Meta AI
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Citée par
Graph attention networks
V Peter, C Guillem, C Arantxa, R Adriana, L Pietro, B Yoshua
Proceedings of the International Conference on Learning Representations …, 2017
The one hundred layers tiramisu: Fully convolutional densenets for semantic segmentation
S Jégou, M Drozdzal, D Vazquez, A Romero, Y Bengio
Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE …, 2017
Theano: A Python framework for fast computation of mathematical expressions
TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ...
arXiv preprint arXiv:1605.02688, 2016
fastMRI: An open dataset and benchmarks for accelerated MRI
J Zbontar, F Knoll, A Sriram, T Murrell, Z Huang, MJ Muckley, A Defazio, ...
arXiv preprint arXiv:1811.08839, 2018
Unsupervised deep feature extraction for remote sensing image classification
A Romero, C Gatta, G Camps-Valls
IEEE Transactions on Geoscience and Remote Sensing 54 (3), 1349-1362, 2015
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
D Vázquez, J Bernal, FJ Sánchez, G Fernández-Esparrach, AM López, ...
Journal of Healthcare Engineering 2017, 2017
ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation
F Visin, M Ciccone, A Romero, K Kastner, K Cho, Y Bengio, M Matteucci, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
fastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning
F Knoll, J Zbontar, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ...
Radiology: Artificial Intelligence 2 (1), e190007, 2020
Learning normalized inputs for iterative estimation in medical image segmentation
M Drozdzal, G Chartrand, E Vorontsov, M Shakeri, L Di Jorio, A Tang, ...
Medical image analysis 44, 1-13, 2018
Fitnets: Hints for thin deep nets
R Adriana, B Nicolas, KS Ebrahimi, C Antoine, G Carlo, B Yoshua
Proc. ICLR, 2015
Inverse cooking: Recipe generation from food images
A Salvador, M Drozdzal, X Giró-i-Nieto, A Romero
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
BigBrain 3D atlas of cortical layers: cortical and laminar thickness gradients diverge in sensory and motor cortices
K Wagstyl, S Larocque, G Cucurull, C Lepage, JP Cohen, S Bludau, ...
PLOS Biology 18 (4), e3000678, 2020
Reducing uncertainty in undersampled mri reconstruction with active acquisition
Z Zhang, A Romero, MJ Muckley, P Vincent, L Yang, M Drozdzal
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest–Part A: 2-D Contest
M Campos-Taberner, A Romero-Soriano, C Gatta, G Camps-Valls, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
Instance-conditioned gan
A Casanova, M Careil, J Verbeek, M Drozdzal, A Romero Soriano
Advances in Neural Information Processing Systems 34, 27517-27529, 2021
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
EJ Smith, S Fujimoto, A Romero, D Meger
arXiv preprint arXiv:1901.11461, 2019
Diet Networks: Thin Parameters for Fat Genomics
A Romero, PL Carrier, A Erraqabi, T Sylvain, A Auvolat, E Dejoie, ...
arXiv preprint arXiv:1611.09340, 2016
Active MR k-space Sampling with Reinforcement Learning
L Pineda, S Basu, A Romero, R Calandra, M Drozdzal
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Parameter prediction for unseen deep architectures
B Knyazev, M Drozdzal, GW Taylor, A Romero Soriano
Advances in Neural Information Processing Systems 34, 29433-29448, 2021
Graph Inductive Biases in Transformers without Message Passing
L Ma, C Lin, D Lim, A Romero-Soriano, PK Dokania, M Coates, P Torr, ...
arXiv preprint arXiv:2305.17589, 2023
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