Personne
Róger Bermúdez Chacón
Cette personne n’est plus à l’EPFL
Publications associées (5)
Learning and leveraging shared domain semantics to counteract visual domain shifts
One of the main limitations of artificial intelligence today is its inability to adapt to unforeseen circumstances. Machine Learning (ML), due to its data-driven nature, is particularly susceptible to this. ML relies on observations in order to learn impli ...
EPFL2020Domain-Adaptive Multibranch Networks
Pascal Fua, Mathieu Salzmann, Róger Bermúdez Chacón
We tackle unsupervised domain adaptation by accounting for the fact that different domains may need to be processed differently to arrive to a common feature representation effective for recognition. To this end, we introduce a deep learning framework wher ...
2020Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images
Pascal Fua, Mathieu Salzmann, Carlos Joaquin Becker, Róger Bermúdez Chacón, Okan Altingövde
We present an Unsupervised Domain Adaptation strategy to compensate for domain shifts on Electron Microscopy volumes. Our method aggregates visual correspondences—motifs that are visually similar across different acquisitions—to infer changes on the parame ...
2019A Domain-Adaptive Two-Stream U-Net for Electron Microscopy Image Segmentation
Pascal Fua, Mathieu Salzmann, Pablo Marquez Neila, Róger Bermúdez Chacón
Deep networks such as the U-Net are outstanding at segmenting biomedical images when enough training data is available, but only then. Here we introduce a Domain Adaptation approach that relies on two coupled U-Nets that either regularize or share correspo ...
2018Scalable Unsupervised Domain Adaptation for Electron Microscopy
Pascal Fua, Mathieu Salzmann, Carlos Joaquin Becker, Róger Bermúdez Chacón
While Machine Learning algorithms are key to automating organelle segmentation in large EM stacks, they require annotated data, which is hard to come by in sufficient quantities. Furthermore, images acquired from one part of the brain are not always repres ...
2016