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of 12
pro vyhledávání: '"Fernández Labrador, Clara"'
Creating artistic 3D scenes can be time-consuming and requires specialized knowledge. To address this, recent works such as ARF, use a radiance field-based approach with style constraints to generate 3D scenes that resemble a style image provided by
Externí odkaz:
http://arxiv.org/abs/2404.14967
Computational inference of aesthetics is an ill-defined task due to its subjective nature. Many datasets have been proposed to tackle the problem by providing pairs of images and aesthetic scores based on human ratings. However, humans are better at
Externí odkaz:
http://arxiv.org/abs/2206.08614
Autor:
Fernandez-Labrador, Clara, Chhatkuli, Ajad, Paudel, Danda Pani, Guerrero, Jose J., Demonceaux, Cédric, Van Gool, Luc
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 necessarily have the same semantic parts. The level of difficulty adds up f
Externí odkaz:
http://arxiv.org/abs/2003.07619
Publikováno v:
2020 IEEE International Conference on Robotics and Automation (ICRA), pages 567-573
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 tasks have been improved thanks to the contextual information these images
Externí odkaz:
http://arxiv.org/abs/1910.06138
Autor:
Fernandez-Labrador, Clara, Facil, Jose M., Perez-Yus, Alejandro, Demonceaux, Cédric, Civera, Javier, Guerrero, Jose J.
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 the most relevant ones, a major part of the state-of-the-art methods ma
Externí odkaz:
http://arxiv.org/abs/1903.08094
Autor:
Fernandez-Labrador, Clara, Facil, Jose M., Perez-Yus, Alejandro, Demonceaux, Cedric, Guerrero, Jose J.
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 on different data. Our approach handles occlusions and recovers compl
Externí odkaz:
http://arxiv.org/abs/1808.09879
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 to recover closed geometries. Our method combines strategically the ac
Externí odkaz:
http://arxiv.org/abs/1806.08294
Akademický článek
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Publikováno v:
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
Zaguán: Repositorio Digital de la Universidad de Zaragoza
Universidad de Zaragoza
instname
Zaguán: Repositorio Digital de la Universidad de Zaragoza
Universidad de Zaragoza
Los seres humanos comprendemos los entornos que nos rodean sin esfuerzo y bajo una amplia variedad de condiciones, lo cual es debido principalmente a nuestra percepción visual. Desarrollar algoritmos de Computer Vision que logren una comprensión vi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::28793515bd1237f9d3014ce8faf80fc5
http://zaguan.unizar.es/record/100733
http://zaguan.unizar.es/record/100733
Publikováno v:
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
instname
Este trabajo describe el desarrollo de un sistema de reconocimiento de objetos en imágenes panorámicas. Las imágenes panorámicas, con su amplio campo de visión, suponen un gran potencial para tareas de reconocimiento en interiores, ya que incluy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d29ef9fc298d36cd09a729d649ab5ef3
http://zaguan.unizar.es/record/85260
http://zaguan.unizar.es/record/85260