Rodrigo Santa Cruz
Title
Cited by
Cited by
Year
On differentiating parameterized argmin and argmax problems with application to bi-level optimization
S Gould, B Fernando, A Cherian, P Anderson, RS Cruz, E Guo
arXiv preprint arXiv:1607.05447, 2016
992016
Visual permutation learning
R Santa Cruz, B Fernando, A Cherian, S Gould
IEEE transactions on pattern analysis and machine intelligence 41 (12), 3100 …, 2018
92*2018
DeepPermNet: Visual Permutation Learning
R Santa Cruz, B Fernando, A Cherian, S Gould
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
712017
Neural Algebra of Classifiers
R Santa Cruz, B Fernando, A Cherian, S Gould
The IEEE Winter Conference on Applications of Computer Vision (WACV), 2018
92018
Deepcsr: A 3d deep learning approach for cortical surface reconstruction
RS Cruz, L Lebrat, P Bourgeat, C Fookes, J Fripp, O Salvado
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
72021
Bayesian model averaging naive bayes (bma-nb): Averaging over an exponential number of feature models in linear time
G Wu, S Sanner, RFSC Oliveira
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
52015
Regenerator placement and link capacity optimization in translucent optical networks using a multi-objective evolutionary algorithm
RVB Carvalho, RFSC Oliveira, CJA Bastos-Filho, DAR Chaves, ...
National Fiber Optic Engineers Conference, NM3F. 3, 2012
52012
Human detection in digital videos using motion features extractors
RFSC Oliveira, CJA Bastos-Filho
2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-2, 2016
42016
Visual Permutation Learning.
RS Cruz, B Fernando, A Cherian, S Gould
IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (12), 3100 …, 2018
32018
3D Brain MRI GAN-Based Synthesis Conditioned on Partial Volume Maps
F Rusak, R Santa Cruz, P Bourgeat, C Fookes, J Fripp, A Bradley, ...
International Workshop on Simulation and Synthesis in Medical Imaging, 11-20, 2020
22020
Going deeper with brain morphometry using neural networks
RS Cruz, L Lebrat, P Bourgeat, V Doré, J Dowling, J Fripp, C Fookes, ...
arXiv preprint arXiv:2009.03303, 2020
22020
Going deeper with brain morphometry using neural networks
R Santa Cruz, L Lebrat, P Bourgeat, V Doré, J Dowling, J Fripp, C Fookes, ...
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 711-715, 2021
12021
Inferring temporal compositions of actions using probabilistic automata
RS Cruz, A Cherian, B Fernando, D Campbell, S Gould
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
12020
Detector de humanos em imagens digitais utilizando extratores de características indicadoras de movimento
RFSC OLIVEIRA
Universidade de Pernambuco, 2014
12014
Detail Matters: High-Frequency Content for Realistic Synthetic MRI Generation
F Rusak, RS Cruz, E Smith, J Fripp, C Fookes, P Bourgeat, A Bradley
International Workshop on Simulation and Synthesis in Medical Imaging, 3-13, 2021
2021
Smocam: Smooth Conditional Attention Mask For 3d-Regression Models
S Konate, L Lebrat, R Santa Cruz, P Bourgeat, V Dorê, J Fripp, A Bradley, ...
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 362-366, 2021
2021
MongeNet: Efficient Sampler for Geometric Deep Learning
L Lebrat, RS Cruz, C Fookes, O Salvado
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2021
Visual Recognition From Structured Supervision
R Santa Cruz
PQDT-Global, 2019
2019
Algoritmo de Posicionamento de Regeneradores e Comprimentos de onda em Redes Ópticas
R Oliveira, C Bastos Filho
Revista de Engenharia e Pesquisa Aplicada 2 (1), 2016
2016
MongeNet: Efficient Sampler for Geometric Deep Learning Open Website
L Lebrat, R Santa Cruz, C Fookes, O Salvado
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