191 citations · 448 across the 18 of their papers we have counts for
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Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data
Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka
In machine learning the best performance on a certain task is achieved by fully supervised methods when perfect ground truth labels are available. However, labels are often noisy,…
Coarse to fine non-rigid registration: a chain of scale-specific neural networks for multimodal image alignment with application to remote sensing
Armand Zampieri, Guillaume Charpiat, Yuliya Tarabalka
We tackle here the problem of multimodal image non-rigid registration, which is of prime importance in remote sensing and medical imaging. The difficulties encountered by classical…
High-Resolution Semantic Labeling with Convolutional Neural Networks
Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat +1
Convolutional neural networks (CNNs) have received increasing attention over the last few years. They were initially conceived for image categorization, i.e., the problem of assign…
Recurrent Neural Networks to Correct Satellite Image Classification Maps
Emmanuel Maggiori, Guillaume Charpiat, Yuliya Tarabalka +1
While initially devised for image categorization, convolutional neural networks (CNNs) are being increasingly used for the pixelwise semantic labeling of images. However, the prope…