Keiller Nogueira

Orcid: 0000-0003-3308-6384

According to our database1, Keiller Nogueira authored at least 34 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Prototypical Contrastive Network for Imbalanced Aerial Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Fully convolutional open set segmentation.
Mach. Learn., May, 2023

Data-Centric Machine Learning for Geospatial Remote Sensing Data.
CoRR, 2023

Facing the Void: Overcoming Missing Data in Multi-View Imagery.
IEEE Access, 2023

NS-IL: Neuro-Symbolic Visual Question Answering Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes.
IEEE Access, 2023

GMM-IL: Image Classification Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes.
IEEE Access, 2023

MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
AiRound and CV-BrCT: Novel Multiview Datasets for Scene Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images.
Remote. Sens., 2021

Semantic Segmentation of Tree-Canopy in Urban Environment with Pixel-Wise Deep Learning.
Remote. Sens., 2021

An Introduction to Deep Morphological Networks.
IEEE Access, 2021

Security and Forensics Exploration of Learning-based Image Coding.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Segmentation of Tree Canopies in Urban Environments Using Dilated Convolutional Neural Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Facing Erosion Identification in Railway Lines Using Pixel-Wise Deep-Based Approaches.
Remote. Sens., 2020

AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification.
CoRR, 2020

Towards Open-Set Semantic Segmentation of Aerial Images.
CoRR, 2020

2019
Dynamic Multicontext Segmentation of Remote Sensing Images Based on Convolutional Networks.
IEEE Trans. Geosci. Remote. Sens., 2019

Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks.
IEEE Geosci. Remote. Sens. Lett., 2019

An Introduction to Deep Morphological Networks.
CoRR, 2019

2018
Exploiting ConvNet Diversity for Flooding Identification.
IEEE Geosci. Remote. Sens. Lett., 2018

Dynamic Multi-Scale Semantic Segmentation based on Dilated Convolutional Networks.
CoRR, 2018

2017
Towards better exploiting convolutional neural networks for remote sensing scene classification.
Pattern Recognit., 2017

Learning Deep Features on Multiple Scales for Coffee Crop Recognition.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

Data-Driven Flood Detection using Neural Networks.
Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

Deep contextual description of superpixels for aerial urban scenes classification.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Semantic segmentation of vegetation images acquired by unmanned aerial vehicles using an ensemble of ConvNets.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Pointwise and pairwise clothing annotation: combining features from social media.
Multim. Tools Appl., 2016

RECOD @ Placing Task of MediaEval 2016: A Ranking Fusion Approach for Geographic-Location Prediction of Multimedia Objects.
Proceedings of the Working Notes Proceedings of the MediaEval 2016 Workshop, 2016

Learning to semantically segment high-resolution remote sensing images.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Improving Spatial Feature Representation from Aerial Scenes by Using Convolutional Networks.
Proceedings of the 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015


Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Coffee Crop Recognition Using Multi-scale Convolutional Neural Networks.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014
Learning to Annotate Clothes in Everyday Photos: Multi-modal, Multi-label, Multi-instance Approach.
Proceedings of the 27th SIBGRAPI Conference on Graphics, Patterns and Images, 2014


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