Emmanuel Maggiori

Orcid: 0000-0002-5765-9629

According to our database1, Emmanuel Maggiori authored at least 14 papers between 2014 and 2018.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2018
Polygonization of Binary Classification Maps Using Mesh Approximation with Right Angle Regularity.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
High-Resolution Aerial Image Labeling With Convolutional Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2017

Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2017

Recurrent Neural Networks to Correct Satellite Image Classification Maps.
IEEE Trans. Geosci. Remote. Sens., 2017

High-resolution image classification with convolutional networks.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Polygonization of remote sensing classification maps by mesh approximation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
High-Resolution Semantic Labeling with Convolutional Neural Networks.
CoRR, 2016

Recurrent Neural Networks to Enhance Satellite Image Classification Maps.
CoRR, 2016

Fully convolutional neural networks for remote sensing image classification.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Perceptual grouping by tensor voting: a comparative survey of recent approaches.
IET Comput. Vis., 2015

Improved partition trees for multi-class segmentation of remote sensing images.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Optimizing Partition Trees for Multi-Object Segmentation with Shape Prior.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Comments on "A Closed-Form Solution to Tensor Voting: Theory and Applications".
IEEE Trans. Pattern Anal. Mach. Intell., 2014


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