activity
20182020
collaborators

5 papers

cs.CV2020

Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets

Clara Fernandez-Labrador, Ajad Chhatkuli, Danda Pani Paudel +3

Automatic discovery of category-specific 3D keypoints from a collection of objects of some category is a challenging problem. One reason is that not all objects in a category neces…

cs.CV2019

What's in my Room? Object Recognition on Indoor Panoramic Images

Julia Guerrero-Viu, Clara Fernandez-Labrador, Cédric Demonceaux +1

In the last few years, there has been a growing interest in taking advantage of the 360 panoramic images potential, while managing the new challenges they imply. While several task…

cs.CV2019

Corners for Layout: End-to-End Layout Recovery from 360 Images

Clara Fernandez-Labrador, Jose M. Facil, Alejandro Perez-Yus +3

The problem of 3D layout recovery in indoor scenes has been a core research topic for over a decade. However, there are still several major challenges that remain unsolved. Among t…

cs.CV2018

PanoRoom: From the Sphere to the 3D Layout

Clara Fernandez-Labrador, Jose M. Facil, Alejandro Perez-Yus +2

We propose a novel FCN able to work with omnidirectional images that outputs accurate probability maps representing the main structure of indoor scenes, which is able to generalize…

cs.CV2018

Layouts from Panoramic Images with Geometry and Deep Learning

Clara Fernandez-Labrador, Alejandro Perez-Yus, Gonzalo Lopez-Nicolas +1

In this paper, we propose a novel procedure for 3D layout recovery of indoor scenes from single 360 degrees panoramic images. With such images, all scene is seen at once, allowing…