6 citations · 6 across the 2 of their papers we have counts for
4 papers
A Relational-learning Perspective to Multi-label Chest X-ray Classification
Anjany Sekuboyina, Daniel Oñoro-Rubio, Jens Kleesiek +1
Multi-label classification of chest X-ray images is frequently performed using discriminative approaches, i.e. learning to map an image directly to its binary labels. Such approach…
MMKG: Multi-Modal Knowledge Graphs
Ye Liu, Hui Li, Alberto Garcia-Duran +3
We present MMKG, a collection of three knowledge graphs that contain both numerical features and (links to) images for all entities as well as entity alignments between pairs of KG…
Contextual Hourglass Networks for Segmentation and Density Estimation
Daniel Oñoro-Rubio, Mathias Niepert
Hourglass networks such as the U-Net and V-Net are popular neural architectures for medical image segmentation and counting problems. Typical instances of hourglass networks contai…
Learning Short-Cut Connections for Object Counting
Daniel Oñoro-Rubio, Mathias Niepert, Roberto J. López-Sastre
Object counting is an important task in computer vision due to its growing demand in applications such as traffic monitoring or surveillance. In this paper, we consider object coun…