13 citations
- Siemens (Germany)DE4 papers
- Ludwig-Maximilians-Universität MünchenDE2 papers
- Universidade Estadual Paulista (Unesp)BR2 papers
- Universidade Federal de São CarlosBR2 papers
- Aalto UniversityFI1 paper
- Barcelona Supercomputing CenterES1 paper
- BMW (Germany)DE1 paper
- City St George's, University of LondonGB1 paper
- Columbia UniversityUS1 paper
- Cornell UniversityUS1 paper
- Data:Lab Munich (Germany)DE1 paper
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE1 paper
Showing 2021Show all
3 papers · 1 filter
cs.AI2021★ 9 cited
Hierarchical Learning Using Deep Optimum-Path Forest
Luis C. S. Afonso, Clayton R. Pereira, Silke A. T. Weber +3
Bag-of-Visual Words (BoVW) and deep learning techniques have been widely used in several domains, which include computer-assisted medical diagnoses. In this work, we are interested…
cs.CV2021★ 13 cited
Learning Visual Representations with Optimum-Path Forest and its Applications to Barrett's Esophagus and Adenocarcinoma Diagnosis
Luis A. de Souza, Luis C. S. Afonso, Alanna Ebigbo +5
In this work, we introduce the unsupervised Optimum-Path Forest (OPF) classifier for learning visual dictionaries in the context of Barrett's esophagus (BE) and automatic adenocarc…
astro-ph.IM2021★ 13 cited
Exoplanet Imaging Data Challenge: benchmarking the various image processing methods for exoplanet detection
F. Cantalloube, C. Gomez-Gonzalez, O. Absil +23
The Exoplanet Imaging Data Challenge is a community-wide effort meant to offer a platform for a fair and common comparison of image processing methods designed for exoplanet direct…