Who am I?

I am a Ph.D. student associated to the Pattern Recognition and Earth Observation group (PATREO) hosted at the Computer Science Department of the Universidade Federal de Minas Gerais (UFMG), Brazil. However, part of my Ph.D. studies is being performed in GIPSA-Lab at the Institut Polytechnique de Grenoble, France. Specifically, my thesis is focused on developing Deep Learning-based approaches to Remote Sensing applications, varying from segmentation to classication from visible to hyperspectral images.
I received my Master Degree in Computer Science from UFMG in 2015. During my Master, I worked developing Machine and Deep Learning techniques to clothing annotation and segmentation. My Computer Science Bachelor degree was from Universidade Federal de Viçosa (UFV) in 2012. There, I worked with Geographical Information Systems (GIS).
My research interests include Machine, Deep and Statistical Learning, Pattern Recognition, Image Processing and Remote Sensing.


Journal Papers

  1. K. Nogueira, S. G. Fadel, Í. C. Dourado, R. O. Werneck, J. A. V. Muñoz, O. A. B. Penatti, R. T. Calumby, L. T. Li, J. A. dos Santos, R. S. Torres. Exploiting ConvNet Diversity for Flooding Identification. IEEE Geoscience and Remote Sensing Letters (2018). DOI: 10.1109/LGRS.2018.2845549 [PDF]
  2. K. Nogueira, O. A. B. Penatti, J. A. dos Santos. Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification. Pattern Recognition 61 (2017): 539-556. [DOI]
  3. K. Nogueira, A. Veloso, and J. A. dos Santos. Pointwise and Pairwise Clothing Annotation: Combining Features from Social Media. Multimedia Tools and Applications 75.7 (2016): 4083-4113. [DOI]

Conference Papers

  1. R. Baeta, K. Nogueira, D. Menotti, J. A. dos Santos. Learning Deep Features on Multiple Scales for Coffee Crop Recognition. Conference on Graphics, Patterns and Images (SIBGRAPI), Niterói, Brazil, 2017. [PDF]
  2. K. Nogueira, J. A. dos Santos, L. Cancian, B. D. Borges, T. S. F. Silva, L. P. Morellato, R. S. Torres. Semantic segmentation of vegetation images acquired by unmanned aerial vehicles using an ensemble of ConvNets. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, Texas, USA, 2017. [PDF]
  3. T. M. H. C. Santana, K. Nogueira, A. Machado, J. A. dos Santos. Deep contextual description of superpixels for aerial urban scenes classification. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, Texas, USA, 2017. [PDF]
  4. K. Nogueira, M. Dalla Mura, J. Chanussot, W. R. Schwartz, J. A. dos Santos. Learning to Semantically Segment High-Resolution Remote Sensing Images. International Conference on Pattern Recognition, Cancun, Mexico, 2016. [PDF]
  5. K. Nogueira, J. A. dos Santos, T. Fornazari, T. S. Freire, L. P. Morellato, R. da S. Torres. Towards Vegetation Species Discrimination by using Data-driven Descriptors. Pattern Recogniton in Remote Sensing (PRRS). International Conference on Pattern Recognition Workshop, 2016. [PDF][DATASET]
  6. L. T. Li, J. A. V. Muñoz, J. Almeida, R. T. Calumby, O. A. B. Penatti, I. C. Dourado, K. Nogueira, P. R. Mendes-Junior, L. A. M. Pereira, D. C. G. Pedronette, J. A. dos Santos, M. A. Gonçalves, R. da S. Torres. RECOD @ Placing Task of MediaEval 2015. MediaEval 2015. [PDF]
  7. K. Nogueira, W. R. Schwartz, J. A. dos Santos. Coffee Crop Recognition Using Multi-scale Convolutional Neural Networks. XX Iberoamerican Congress on Pattern Recognition (CIARP), 2015, Montevideo. [PDF]
  8. K. Nogueira, W. O. Miranda, J. A. dos Santos. Improving Spatial Feature Representation from Aerial Scenes by Using Convolutional Networks. Conference on Graphics, Patterns and Images (SIBGRAPI), Salvador, Brazil, 2015. [PDF]
  9. O. A. B. Penatti, K. Nogueira, J. A. dos Santos. Do Deep Features Generalize from Everyday Objects to Remote Sensing and Aerial Scenes Domains? EarthVision 2015. IEEE Computer Vision and Pattern Recognition Workshops, 2015, Boston. [PDF][DATASET]
  10. A. C. Nazare Jr, M. T. Rodrigues, V. H. C. Melo, A. J. L. Correia, G. R. Gonçalves, K. Nogueira, C. A. Caetano, E. Ferreira Jr., J. A. dos Santos, W. R. Schwartz. A Computational Infrastructure Model for Research on Computer Vision. BRESCI. Recife, Brazil, 2015. [PDF]
  11. K. Nogueira, A. A. Veloso, J. A. dos Santos. Learning to Annotate Clothes in Everyday Photos: Multi-Modal, Multi-Label, Multi-Instance Approach. Conference on Graphics, Patterns and Images (SIBGRAPI), Rio de Janeiro, Brazil, 2014. [PDF]
  12. J. R. C. Sousa, K. Nogueira, M.V.A. Andrade, J. Lisboa Filho. Heurística para o posicionamento de reservatórios d'àgua. In: Simpósio Brasileiro de Geoinformática (GEOINFO), 2010, Campos do Jordão.

Technical Report

  1. K. Nogueira, M. Dalla Mura, J. Chanussot, W. R. Schwartz, J. A. dos Santos. Dynamic Multi-Scale Segmentation of Remote Sensing Images based on Convolutional Networks. arXiv preprint arXiv:1804.04020 (2018). [PDF]

Master Thesis

    K. Nogueira. Abordagens de Aprendizado Estatístico e Profundo para os Problemas de Anotação e Decomposição de Peças de Roupas em Fotografias de Moda (Statistical and Deep Learning Algorithms for Annotating and Parsing Clothing Items in Fashion Photographs), Master Thesis, Computer Science Department, Universidade Federal de Minas Gerais, Belo Horizonte, MG, 2015. [PDF]