Emilio Vital Brazil
Emilio Vital Brazil
IMPA; University of Calgary; IBM Research
Verified email at - Homepage
Cited by
Cited by
Interpolating seismic data with conditional generative adversarial networks
DAB Oliveira, RS Ferreira, R Silva, EV Brazil
IEEE Geoscience and Remote Sensing Letters 15 (12), 1952-1956, 2018
iLAMP: Exploring High-Dimensional Spacing through Backward Multidimensional Projection
EP dos Santos Amorim, E Vital Brazil, J Daniels II, P Joia, LG Nonato, ...
VISWEEK - VAST 2012, 53 - 62, 2012
Sketching variational hermite-rbf implicits
E Vital Brazil, I Macedo, MC Sousa, LH de Figueiredo, L Velho
Joint Session of the Seventh Sketch-Based Interfaces and Modeling Workshop …, 2010
Expression transfer between photographs through multilinear aam's
I Macedo, EV Brazil, L Velho
19th Brazilian Symposium on Computer Graphics and Image Processing, 2006 …, 2006
Sketch Modeling of Seismic Horizons from Uncertainty
R Amorim, E Vital Brazil, D Patel, MC Sousa
Eurographics Workshop on Sketch-Based Interfaces and Modeling, 1-10, 2012
Netherlands dataset: A new public dataset for machine learning in seismic interpretation
RM Silva, L Baroni, RS Ferreira, D Civitarese, D Szwarcman, EV Brazil
arXiv preprint arXiv:1904.00770, 2019
Provenance data in the machine learning lifecycle in computational science and engineering
R Souza, L Azevedo, V Lourenço, E Soares, R Thiago, R Brandao, ...
2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), 1-10, 2019
Geological Feature Prediction Using Image-Based Machine Learning
D Jobe, E Vital Brazil, M Khait
PETROPHYSICS 59 (4), 2018
Deep learning applied to seismic facies classification: A methodology for training
DS Chevitarese, D Szwarcman, RM Gama e Silva, E Vital Brazil
Saint Petersburg 2018 2018 (1), 1-5, 2018
Seismic facies segmentation using deep learning
D Chevitarese, D Szwarcman, RMD Silva, EV Brazil
AAPG Annual and Exhibition, 2018
Efficient classification of seismic textures
DS Chevitarese, D Szwarcman, EV Brazil, B Zadrozny
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
Assessing texture descriptors for seismic image retrieval
AB Mattos, RS Ferreira, RMDG e Silva, M Riva, EV Brazil
2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2017
Facing the high-dimensions: Inverse projection with radial basis functions
E Amorim, EV Brazil, J Mena-Chalco, L Velho, LG Nonato, F Samavati, ...
Computers & Graphics 48, 35-47, 2015
3D geological modeling using sketches and annotations from geologic maps
R Amorim, EV Brazil, F Samavati, MC Sousa
Proceedings of the 4th Joint Symposium on Computational Aesthetics, Non …, 2014
Fluid-based hatching for tone mapping in line illustrations
A Paiva, E Vital Brazil, F Petronetto, MC Sousa
The Visual Computer 25 (5), 519-527, 2009
Improving seismic data resolution with deep generative networks
DAB Oliveira, RS Ferreira, R Silva, EV Brazil
IEEE Geoscience and Remote Sensing Letters 16 (12), 1929-1933, 2019
Semantic segmentation of seismic images
D Civitarese, D Szwarcman, EV Brazil, B Zadrozny
arXiv preprint arXiv:1905.04307, 2019
Rapid reservoir modeling: prototyping of reservoir models, well trajectories and development options using an intuitive, sketch-based interface
MD Jackson, GJ Hampson, D Rood, S Geiger, Z Zhang, MC Sousa, ...
SPE Reservoir Simulation Symposium, 2015
Efficient runtime capture of multiworkflow data using provenance
R Souza, L Azevedo, R Thiago, E Soares, M Nery, MAS Netto, E Vital, ...
2019 15th International Conference on eScience (eScience), 359-368, 2019
Transfer learning applied to seismic images classification
D Chevitarese, D Szwarcman, RMD Silva, EV Brazil
AAPG Annual and Exhibition, 2018
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