Building upon the recent progress in novel view synthesis, we propose its application to improve monocular depth estimation.
The World Wide Web is not only one of the most important platforms of communication and information at present, but also an area of growing interest for scientific research.
no code implementations • 6 Jun 2020 • Germán González, Aurelia Bustos, José María Salinas, María de la Iglesia-Vaya, Joaquín Galant, Carlos Cano-Espinosa, Xavier Barber, Domingo Orozco-Beltrán, Miguel Cazorla, Antonio Pertusa
In this work we present a method for the detection of radiological findings, their location and differential diagnoses from chest x-rays.
2 code implementations • 1 Jun 2020 • Maria de la Iglesia Vayá, Jose Manuel Saborit, Joaquim Angel Montell, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Marisa Caparrós, Germán González, Jose María Salinas
This paper describes BIMCV COVID-19+, a large dataset from the Valencian Region Medical ImageBank (BIMCV) containing chest X-ray images CXR (CR, DX) and computed tomography (CT) imaging of COVID-19+ patients along with their radiological findings and locations, pathologies, radiological reports (in Spanish), DICOM metadata, Polymerase chain reaction (PCR), Immunoglobulin G (IgG) and Immunoglobulin M (IgM) diagnostic antibody tests.
no code implementations • 30 Mar 2020 • Germán González, Daniel Jimenez-Carretero, Sara Rodríguez-López, Carlos Cano-Espinosa, Miguel Cazorla, Tanya Agarwal, Vinit Agarwal, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang, Mojtaba Masoudi, Noushin Eftekhari, Mahdi Saadatmand, Hamid-Reza Pourreza, Patricia Fraga-Rivas, Eduardo Fraile, Frank J. Rybicki, Ara Kassarjian, Raúl San José Estépar, Maria J. Ledesma-Carbayo
Objective: To generate a database of annotated computed tomography pulmonary angiographies, use it to compare the sensitivity and false positive rate of current algorithms and to develop new methods that improve such metrics.
In this paper, we propose a new dataset for outdoor depth estimation from single and stereo RGB images.
Ranked #1 on Monocular Depth Estimation on UASOL
In this work, we introduce a multiview hand pose dataset in which we provide color images of hands and different kind of annotations for each, i. e the bounding box and the 2D and 3D location on the joints in the hand.
The framework has been designed, structured and implemented in order to be easily extended with different keypoint detectors, feature extractors as well as classification models.