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Conference Paper (published)

Prototypical Contrastive Network for Imbalanced Aerial Image Segmentation

Nogueira K, Maezano Faita-Pinheiro M, Ramos AP, Gon?alves WN, Marcato Junior J & Santos JAD (2023) Prototypical Contrastive Network for Imbalanced Aerial Image Segmentation. In: WACV 2024, 04.01.2024-08.01.2024. Piscataway, NJ, USA: IEEE.

Conference Paper (published)

MTLSegFormer: Multi-Task Learning With Transformers for Semantic Segmentation in Precision Agriculture

Goncalves DN, Junior JM, Zamboni P, Pistori H, Li J, Nogueira K & Goncalves W (2023) MTLSegFormer: Multi-Task Learning With Transformers for Semantic Segmentation in Precision Agriculture. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Vancouver, BC, Canada, 18.06.2023-22.06.2023. Piscataway, NJ, USA: IEEE, pp. 6290-6298. https://doi.org/10.1109/CVPRW59228.2023.00669

Article

GMM-IL: Image Classification Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes

Johnston P, Nogueira K & Swingler K (2023) GMM-IL: Image Classification Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes. IEEE Access, 11, pp. 25492-25501. https://doi.org/10.1109/access.2023.3255795

Article

NS-IL: Neuro-Symbolic Visual Question Answering Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes

Johnston P, Nogueira K & Swingler K (2023) NS-IL: Neuro-Symbolic Visual Question Answering Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes. IEEE Access, 11, pp. 141406-141420. https://doi.org/10.1109/access.2023.3341007

Article

Integrating remote sensing and machine learning to detect turbidity anomalies in hydroelectric reservoirs

Souza AP, Oliveira BA, Andrade ML, Starling MCVM, Pereira AH, Maillard P, Nogueira K, dos Santos JA & Amorim CC (2023) Integrating remote sensing and machine learning to detect turbidity anomalies in hydroelectric reservoirs. Science of The Total Environment, 902, Art. No.: 165964. https://doi.org/10.1016/j.scitotenv.2023.165964

Conference Paper (published)

Paving the Way for Automatic Mapping of Rural Roads in the Amazon Rainforest

Faria LCd, Brito M, Nogueira K & dos Santos JA (2023) Paving the Way for Automatic Mapping of Rural Roads in the Amazon Rainforest. In: SIBGRAPI Conference on Graphics, Patterns and Images, 06.11.2023-09.11.2023. IEEE.

Article

Facing the Void: Overcoming Missing Data in Multi-View Imagery

Machado G, Pereira MB, Nogueira K & Dos Santos JA (2022) Facing the Void: Overcoming Missing Data in Multi-View Imagery. IEEE Access. https://doi.org/10.1109/access.2022.3231617

Article

An Introduction to Deep Morphological Networks

Nogueira K, Chanussot J, Mura MD & Dos Santos JA (2021) An Introduction to Deep Morphological Networks. IEEE Access, 9, pp. 114308-114324. https://doi.org/10.1109/access.2021.3104405

Article

AiRound and CV-BrCT: Novel Multiview Datasets for Scene Classification

Machado G, Ferreira E, Nogueira K, Oliveira H, Brito M, Gama PHT & Santos JAd (2021) AiRound and CV-BrCT: Novel Multiview Datasets for Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, pp. 488-503. https://doi.org/10.1109/JSTARS.2020.3033424

Conference Paper (published)

Security and Forensics Exploration of Learning-based Image Coding

Bhowmik D, Elawady M & Nogueira K (2021) Security and Forensics Exploration of Learning-based Image Coding. In: 2021 IEEE International Conference on Visual Communications and Image Processing (VCIP). Visual Communications and Image Processing (VCIP 2021), Munich, 05.12.2021-08.12.2021. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/VCIP53242.2021.9675445

Article

Noninvasive Low-cost Method to Identify Armadillos' Burrows: A Machine Learning Approach

Rodrigues TF, Nogueira K & Chiarello AG (2021) Noninvasive Low-cost Method to Identify Armadillos' Burrows: A Machine Learning Approach. Wildlife Society Bulletin, 45 (3), pp. 396-401. https://doi.org/10.1002/wsb.1222

Article

Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery

Osco LP, Nogueira K, Marques Ramos AP, Faita Pinheiro MM, Furuya DEG, Gon?alves WN, de Castro Jorge LA, Marcato Junior J & dos Santos JA (2021) Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery. Precision Agriculture, 22 (4), pp. 1171-1188. https://doi.org/10.1007/s11119-020-09777-5

Article

Semantic segmentation of tree-canopy in urban environment with pixel-wise deep learning

Martins JAC, Nogueira K, Osco LP, Gomes FDG, Furuya DEG, Gon?alves WN, Sant’ana DA, Ramos APM, Liesenberg V, dos Santos JA, de Oliveira PTS & Marcato Junior J (2021) Semantic segmentation of tree-canopy in urban environment with pixel-wise deep learning. Remote Sensing, 13 (16), Art. No.: 3054. https://doi.org/10.3390/rs13163054

Article

Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images

Zamboni P, Marcato Junior J, de Andrade Silva J, Miyoshi GT, Matsubara ET, Nogueira K & Gon?alves WN (2021) Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images. Remote Sensing, 13 (13), Art. No.: 2482. https://doi.org/10.3390/rs13132482

Conference Paper (published)

Towards Open-Set Semantic Segmentation of Aerial Images

da Silva CCV, Nogueira K, Oliveira HN & dos Santos JA (2020) Towards Open-Set Semantic Segmentation of Aerial Images. In: 2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020. IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS 2020), Santiago, Chile, 21.03.2020-26.03.2020. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers Inc. pp. 16-21. https://doi.org/10.1109/LAGIRS48042.2020.9165597

Article

Facing Erosion Identification in Railway Lines Using Pixel-wise Deep-based Approaches

Nogueira K, Machado GLS, Gama PHT, Da Silva CCV, Balaniuk R & Santos JAD (2020) Facing Erosion Identification in Railway Lines Using Pixel-wise Deep-based Approaches. Remote Sensing, 12 (4), Art. No.: 739. https://doi.org/10.3390/rs12040739

Article

Dynamic Multicontext Segmentation of Remote Sensing Images Based on Convolutional Networks

Nogueira K, Dalla Mura M, Chanussot J, Schwartz WR & dos Santos JA (2019) Dynamic Multicontext Segmentation of Remote Sensing Images Based on Convolutional Networks. IEEE Transactions on Geoscience and Remote Sensing, 57 (10), pp. 7503-7520. https://doi.org/10.1109/tgrs.2019.2913861

Article

Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks

Nogueira K, dos Santos JA, Menini N, Silva TSF, Morellato LPC & da S Torres R (2019) Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks. IEEE Geoscience and Remote Sensing Letters, 16 (10), pp. 1665-1669. https://doi.org/10.1109/lgrs.2019.2903194

Article

Exploiting ConvNet Diversity for Flooding Identification

Nogueira K, Fadel SG, Dourado IC, Werneck RdO, Munoz JAV, Penatti OAB, Calumby RT, Li LT, dos Santos JA & Torres RdS (2018) Exploiting ConvNet Diversity for Flooding Identification. IEEE Geoscience and Remote Sensing Letters, 15 (9), pp. 1446-1450. https://doi.org/10.1109/lgrs.2018.2845549

Article

Towards better exploiting convolutional neural networks for remote sensing scene classification

Nogueira K, Penatti OAB & dos Santos JA (2017) Towards better exploiting convolutional neural networks for remote sensing scene classification. Pattern Recognition, 61, pp. 539-556. https://doi.org/10.1016/j.patcog.2016.07.001

Conference Paper (published)

Learning to semantically segment high-resolution remote sensing images

Nogueira K, Dalla Mura M, Chanussot J, Schwartz WR & dos Santos JA (2016) Learning to semantically segment high-resolution remote sensing images. In: 2016 23rd International Conference on Pattern Recognition (ICPR) Proceedings. 2016 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 04.12.2016-08.12.2016. Piscataway, NJ: IEEE, pp. 3566-3571. https://doi.org/10.1109/icpr.2016.7900187

Article

Pointwise and pairwise clothing annotation: combining features from social media

Nogueira K, Veloso AA & dos Santos JA (2016) Pointwise and pairwise clothing annotation: combining features from social media. Multimedia Tools and Applications, 75 (7), pp. 4083-4113. https://doi.org/10.1007/s11042-015-3087-2

Conference Paper (published)

Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?

Penatti OAB, Nogueira K & dos Santos JA (2015) Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2015, Boston, MA, USA, 07.06.2015-12.06.2015. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/cvprw.2015.7301382