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ORCIDDário A. B. Oliveira
Dário Augusto Borges Oliveira
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Journal Articles
- 2024
[j18]Dário A. B. Oliveira
, Tiago Bresolin, Sandra G. Coelho, M. M. Campos, C. F. A. Lage, J. M. Leão, L. G. R. Pereira, Laura Hernández, João Ricardo Rebouças Dórea:
A polar transformation augmentation approach for enhancing mammary gland segmentation in ultrasound images. Comput. Electron. Agric. 220: 108825 (2024)- 2023
- [j17]Laura Elena Cué La Rosa, Dário Augusto Borges Oliveira, Pedram Ghamisi:
Learning Crop-Type Mapping From Regional Label Proportions in Large-Scale SAR and Optical Imagery. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - 2022
- [j16]Laura Elena Cué La Rosa, Dário A. B. Oliveira, Maciel Zortea, Bruno Holtz Gemignani, Raul Queiroz Feitosa:
Learning Geometric Features for Improving the Automatic Detection of Citrus Plantation Rows in UAV Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - 2021
- [j15]Rodrigo S. Ferreira, Dário A. B. Oliveira, Daniil Semin, Semen Zaytsev:
Automatic Velocity Analysis Using a Hybrid Regression Approach With Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 59(5): 4464-4470 (2021) - [j14]Andréa Britto Mattos, Daniel Civitarese, Daniela Szwarcman, Matheus Oliveira, Semen Zaytsev, Daniil Semin, Dário A. B. Oliveira:
Enabling Robust Horizon Picking From Small Training Sets. IEEE Trans. Geosci. Remote. Sens. 59(6): 5317-5324 (2021) - [j13]Dário A. B. Oliveira, Daniil Semin, Semen Zaytsev:
Self-Supervised Ground-Roll Noise Attenuation Using Self-Labeling and Paired Data Synthesis. IEEE Trans. Geosci. Remote. Sens. 59(8): 7147-7159 (2021) - 2020
- [j12]Rodrigo S. Ferreira, Julia Noce, Dário A. B. Oliveira, Emilio Vital Brazil:
Generating Sketch-Based Synthetic Seismic Images With Generative Adversarial Networks. IEEE Geosci. Remote. Sens. Lett. 17(8): 1460-1464 (2020) - [j11]Maysa Malfiza Garcia de Macedo, Andréa Britto Mattos, Dário Augusto Borges Oliveira:
Generalization of Convolutional LSTM Models for Crop Area Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1134-1142 (2020) - 2019
- [j10]Jose David Bermudez Castro, Patrick Nigri Happ, Raul Queiroz Feitosa, Dário A. B. Oliveira:
Synthesis of Multispectral Optical Images From SAR/Optical Multitemporal Data Using Conditional Generative Adversarial Networks. IEEE Geosci. Remote. Sens. Lett. 16(8): 1220-1224 (2019) - [j9]Dário A. B. Oliveira, Rodrigo S. Ferreira, Reinaldo M. Da Gama e Silva, Emilio Vital Brazil:
Improving Seismic Data Resolution With Deep Generative Networks. IEEE Geosci. Remote. Sens. Lett. 16(12): 1929-1933 (2019) - 2018
- [j8]Dário Augusto Borges Oliveira, Rodrigo S. Ferreira, Reinaldo M. Da Gama e Silva, Emilio Vital Brazil:
Interpolating Seismic Data With Conditional Generative Adversarial Networks. IEEE Geosci. Remote. Sens. Lett. 15(12): 1952-1956 (2018) - 2017
- [j7]Gilson A. O. P. Costa, Cristiana Bentes, Rodrigo S. Ferreira, Raul Queiroz Feitosa, Dário Augusto Borges Oliveira:
Exploiting Different Types of Parallelism in Distributed Analysis of Remote Sensing Data. IEEE Geosci. Remote. Sens. Lett. 14(8): 1298-1302 (2017) - [j6]Victor Andres Ayma Quirita, Gilson Alexandre Ostwald Pedro da Costa, Patrick Nigri Happ, Raul Queiroz Feitosa, Rodrigo da Silva Ferreira, Dário Augusto Borges Oliveira, Antonio Plaza:
A New Cloud Computing Architecture for the Classification of Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(2): 409-416 (2017) - [j5]Rodrigo S. Ferreira, Cristiana Bentes, Gilson A. O. P. da Costa, Dário A. B. Oliveira, Patrick Nigri Happ, Raul Queiroz Feitosa, Paolo Gamba:
A Set of Methods to Support Object-Based Distributed Analysis of Large Volumes of Earth Observation Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(2): 681-690 (2017) - 2016
- [j4]Dário Augusto Borges Oliveira, Laura Leal-Taixé, Raul Queiroz Feitosa, Bodo Rosenhahn:
Automatic tracking of vessel-like structures from a single starting point. Comput. Medical Imaging Graph. 47: 1-15 (2016) - 2015
- [j3]Alexandre Rademaker, Dário Augusto Borges Oliveira, Valeria de Paiva, Suemi Higuchi, Asla Medeiros e Sá, Moacyr Alvim:
A linked open data architecture for the historical archives of the Getulio Vargas Foundation. Int. J. Digit. Libr. 15(2-4): 153-167 (2015) - 2012
- [j2]Flavio Fortes Camargo, Cláudia Maria de Almeida, Gilson Alexandre Ostwald Pedro da Costa, Raul Queiroz Feitosa, Dário Augusto Borges Oliveira, Christian Heipke, Rodrigo S. Ferreira:
An open source object-based framework to extract landform classes. Expert Syst. Appl. 39(1): 541-554 (2012) - 2011
- [j1]Raul Queiroz Feitosa, Dário Augusto Borges Oliveira, A. de Lima Veiga Filho, Raphael Pithan Brito, José Luiz Buonomo de Pinho, Antonio Carlos Censi:
Weighting Estimation for Texture-Based Face Recognition Using the Fisher Discriminant. Comput. Sci. Eng. 13(3): 31-37 (2011)
Conference and Workshop Papers
- 2024
- [c29]Ivica Obadic, Alex Levering, Lars Pennig, Dário A. B. Oliveira, Diego Marcos, Xiaoxiang Zhu:
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes. CVPR Workshops 2024: 575-584 - 2022
- [c28]Laura Elena Cué La Rosa, Dário Augusto Borges Oliveira:
Learning from Label Proportions with Prototypical Contrastive Clustering. AAAI 2022: 2153-2161 - [c27]Laura Elena Cué La Rosa, Dário Augusto Borges Oliveira, Samuel T. Thiele, Pedram Ghamisi, Richard Gloaguen:
Weak-Supervision Based on Label Proportions for Earth Observation Applications from Optical and Hyperspectral Imagery. CDCEO@IJCAI 2022: 79-85 - [c26]Dário A. B. Oliveira, Jorge Guevara Diaz, Bianca Zadrozny, Campbell D. Watson, Xiao Xiang Zhu:
Controlling Weather Field Synthesis Using Variational Autoencoders. IGARSS 2022: 5027-5030 - 2021
- [c25]Laura Elena Cue La Rosa, Dário Augusto Borges Oliveira, Raul Queiroz Feitosa:
End-to-End CNN-CRFs for Multi-date Crop Classification Using Multitemporal Remote Sensing Image Sequences. CIKM Workshops 2021 - [c24]Laura Elena Cué La Rosa, Dário A. B. Oliveira, Raul Queiroz Feitosa:
Investigating Fusion Strategies on Encoder-Decoder Networks for Crop Segmentation Using SAR and Optical Image Sequences. IGARSS 2021: 2405-2408 - [c23]Daliana Lobo Torres, Laura Elena Cué La Rosa, Dário A. B. Oliveira, Raul Queiroz Feitosa:
Evaluation of Unsupervised Deep Clustering Methods for Crop Classification Using SAR Image Sequences. IGARSS 2021: 4240-4243 - [c22]Danilo Calhes, Felipe Kawashita Kobayashi, Andréa Britto Mattos, Maysa M. G. Macedo, Dário A. B. Oliveira:
Simplifying Horizon Picking Using Single-Class Semantic Segmentation Networks. SIBGRAPI 2021: 286-292 - 2020
- [c21]Dário Augusto Borges Oliveira:
Controllable Skin Lesion Synthesis Using Texture Patches, Bézier Curves and Conditional GANs. ISBI 2020: 1798-1802 - 2019
- [c20]Maysa Malfiza Garcia de Macedo, Dário Augusto Borges Oliveira, Marco Antonio Gutierrez:
Atherosclerotic Plaques Recognition in Intracoronary Optical Images Using Neural Networks. CinC 2019: 1-4 - [c19]Dário Augusto Borges Oliveira, Andréa Britto Mattos, Edmilson da Silva Morais:
Improving Viseme Recognition with GAN-based Muti-view Mapping. FG 2019: 1-8 - [c18]Maysa M. G. Macedo, Dário A. B. Oliveira:
Exploring features towards semantic characterization of lung nodules in computed tomography images. Medical Imaging: Computer-Aided Diagnosis 2019: 109503L - 2018
- [c17]Dário Augusto Borges Oliveira, Andréa Britto Mattos, Edmilson Da Silva Morais:
Improving Viseme Recognition Using GAN-Based Frontal View Mapping. CVPR Workshops 2018: 2148-2155 - [c16]Andréa Britto Mattos, Dário Augusto Borges Oliveira, Edmilson Da Silva Morais:
Towards View-Independent Viseme Recognition Based on CNNS and Synthetic Data. ICIP 2018: 589-593 - [c15]Andréa Britto Mattos, Dário Augusto Borges Oliveira, Edmilson Da Silva Morais:
Improving CNN-Based Viseme Recognition Using Synthetic Data. ICME 2018: 1-6 - [c14]Dário Augusto Borges Oliveira, Matheus Palhares Viana:
An efficient multi-scale data representation method for lung nodule false positive reduction using convolutional neural networks. ISBI 2018: 269-272 - [c13]Dário A. B. Oliveira, Maysa M. G. Macedo, Pedro Nicz, Carlos M. Campos, Pedro A. Lemos, Marco A. Gutierrez:
Coronary calcification identification in optical coherence tomography using convolutional neural networks. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105781Y - [c12]Dário Augusto Borges Oliveira, Matheus Palhares Viana:
Using 1D Patch-Based Signatures for Efficient Cascaded Classification of Lung Nodules. Patch-MI@MICCAI 2018: 67-75 - [c11]Dário Augusto Borges Oliveira, Matheus Palhares Viana:
Lung Nodule Synthesis Using CNN-Based Latent Data Representation. SASHIMI@MICCAI 2018: 111-118 - [c10]Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Matheus Palhares Viana, Dário Augusto Borges Oliveira:
An Argument in Favor of Strong Scaling for Deep Neural Networks with Small Datasets. SBAC-PAD 2018: 306-313 - [c9]Andréa Britto Mattos, Dário Augusto Borges Oliveira:
Multi-view Mouth Renderization for Assisting Lip-reading. W4A 2018: 28:1-28:10 - 2017
- [c8]Matheus Palhares Viana, Dário Augusto Borges Oliveira:
Fast CNN-Based Document Layout Analysis. ICCV Workshops 2017: 1173-1180 - 2015
- [c7]Victor Andres Ayma, Rodrigo S. Ferreira, Patrick Nigri Happ, Dário Augusto Borges Oliveira, Gilson A. O. P. Costa, Raul Queiroz Feitosa, Antonio J. Plaza, Paolo Gamba:
On the architecture of a big data classification tool based on a map reduce approach for hyperspectral image analysis. IGARSS 2015: 1508-1511 - 2014
- [c6]Valeria de Paiva, Dário Augusto Borges Oliveira, Suemi Higuchi, Alexandre Rademaker, Gerard de Melo:
Exploratory Information Extraction from a Historical Dictionary. eScience Workshops 2014: 11-18 - 2013
- [c5]Alexandre Rademaker, Suemi Higuchi, Dário Augusto Borges Oliveira:
A Linked Open Data Architecture for Contemporary Historical Archives. SDA 2013: 52-64 - 2009
- [c4]Dário Augusto Borges Oliveira, Marley Maria Bernardes Rebuzzi Vellasco, Mariana M. B. Oliveira, Riuitiro Yamane:
Application of Neural Networks in Aid for Diagnosis for Patients with Glaucoma. BIOSIGNALS 2009: 139-145 - [c3]Dário Augusto Borges Oliveira, Raul Queiroz Feitosa, Mauro M. Correia:
Liver Segmentation using Level Sets and Genetic Algorithms. VISAPP (2) 2009: 154-159 - 2008
- [c2]Dário Augusto Borges Oliveira, Raul Queiroz Feitosa, Mauro M. Correia:
Automatic Couinaud Liver and Veins Segmentation from CT Images. BIOSIGNALS (1) 2008: 249-252 - 2006
- [c1]Dário Augusto Borges Oliveira, Guilherme Lúcio Abelha Mota, Raul Queiroz Feitosa, R. A. Nunes:
A region growing approach for pulmonary vessel tree segmentation using adaptive threshold. CompIMAGE 2006: 319-324
Informal and Other Publications
- 2024
- [i14]Sudipan Saha, Tushar Verma, Dário Augusto Borges Oliveira:
Evolution of urban areas and land surface temperature. CoRR abs/2401.03005 (2024) - [i13]Adrian Höhl, Ivica Obadic, Miguel-Ángel Fernández-Torres, Hiba Najjar, Dário A. B. Oliveira, Zeynep Akata, Andreas Dengel, Xiao Xiang Zhu:
Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing. CoRR abs/2402.13791 (2024) - [i12]Ivica Obadic, Alex Levering, Lars Pennig, Dário A. B. Oliveira, Diego Marcos, Xiaoxiang Zhu:
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes. CoRR abs/2404.09768 (2024) - 2023
- [i11]Johannes Jakubik, Sujit Roy, C. E. Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Gabby Nyirjesy, Blair Edwards, Daiki Kimura, Naomi Simumba, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dário A. B. Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad, Manil Maskey, Raghu K. Ganti, Kommy Weldemariam, Rahul Ramachandran:
Foundation Models for Generalist Geospatial Artificial Intelligence. CoRR abs/2310.18660 (2023) - 2022
- [i10]Laura Elena Cue La Rosa, Dário A. B. Oliveira, Pedram Ghamisi:
Learning crop type mapping from regional label proportions in large-scale SAR and optical imagery. CoRR abs/2208.11607 (2022) - [i9]Ivica Obadic, Ribana Roscher, Dário Augusto Borges Oliveira, Xiao Xiang Zhu:
Exploring Self-Attention for Crop-type Classification Explainability. CoRR abs/2210.13167 (2022) - 2021
- [i8]Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman, Daniel Civitarese, Dário A. B. Oliveira, Eduardo Rodrigues, Jorge Guevara Diaz:
A modular framework for extreme weather generation. CoRR abs/2102.04534 (2021) - [i7]Dário Augusto Borges Oliveira:
Decoupling Shape and Density for Liver Lesion Synthesis Using Conditional Generative Adversarial Networks. CoRR abs/2106.00629 (2021) - [i6]Laura Elena Cué La Rosa, Camile Sothe, Raul Queiroz Feitosa, Cláudia Maria de Almeida, Marcos Benedito Schimalski, Dário Augusto Borges Oliveira:
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data. CoRR abs/2106.00799 (2021) - [i5]Dário Augusto Borges Oliveira, Jorge Guevara Diaz, Bianca Zadrozny, Campbell D. Watson:
Controlling Weather Field Synthesis Using Variational Autoencoders. CoRR abs/2108.00048 (2021) - 2020
- [i4]Dário Augusto Borges Oliveira:
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams. CoRR abs/2008.04690 (2020) - [i3]Dário Augusto Borges Oliveira, Daniil Semin, Semen Zaytsev:
Ground Roll Suppression using Convolutional Neural Networks. CoRR abs/2010.15209 (2020) - 2018
- [i2]Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Matheus Palhares Viana, Dário Augusto Borges Oliveira:
An argument in favor of strong scaling for deep neural networks with small datasets. CoRR abs/1807.09161 (2018) - 2017
- [i1]Dário Augusto Borges Oliveira, Laura Leal-Taixé, Raul Queiroz Feitosa, Bodo Rosenhahn:
Automatic tracking of vessel-like structures from a single starting point. CoRR abs/1706.02434 (2017)
Coauthor Index
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last updated on 2024-10-11 18:22 CEST by the dblp team
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