Javier Ruiz Hidalgo

Journals

Books

Conferences

Biography

Javier Ruiz Hidalgo received a degree in Telecommunications Engineering at the Universitat Politècnica de Catalunya (UPC), Barcelona, Spain in 1997. From 1998 to 1999, he developed an MSc by Research on the field of Computer Vision by the University of East Anglia (UEA) in Norwich, UK. During 1999 he joined the Image Processing Group at UPC working on image and video indexing in the context of the MPEG-7 standard. In 2006, he received his PhD. in the field of image processing.

Since 1999 he has been involved in various European Projects as a researcher from the Image Processing Group at UPC. During 1999 and 2000 he worked in the ACTS(AC308) DICEMAN project developing new descriptors and representations for image and video sequences. Since 2001 he is also involved in the IST/FET(2000-26467) project MASCOT developing an efficient compression scheme exploiting metadata information. In 2009 he worked as principal researcher for the national project HESPERIA involved in improving the security of large infrastructures such as airports and power plants. From 2010 to 2013 he was principal researcher for the EU project FASCINATE working on interactive human computer interfaces using 3D data.

Since 2001 he is an Associate Professor at the Universitat Politècnica de Catalunya. He is currently lecturing on the area of digital signal and systems and image processing. His current research interests include 3D video coding, 3D analysis and super-resolution.

Journal Articles top

2020
J. Gené-Mola, Sanz, R., Rosell-Polo, J. R., Morros, J. R., Ruiz-Hidalgo, J., Vilaplana, V., and Gregorio, E., “Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry”, Computers and Electronics in Agriculture, vol. 169, 2020. DOI Google Scholar BibTex
J. Gené-Mola, Sanz, R., Rosell-Polo, J. R., Morros, J. R., Ruiz-Hidalgo, J., Vilaplana, V., and Gregorio, E., “Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry”, vol. Data in Brief, no. Vol. 30, 2020. DOI Google Scholar BibTex
M. Rey-Arena, Guirado, E., Tabik, S., and Ruiz-Hidalgo, J., “FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations”, Information Fusion, vol. 63, no. 195, 2020. DOI Google Scholar BibTex (366.22 KB)

2019
A. Pujol-Miró, Casas, J., and Ruiz-Hidalgo, J., “Correspondence matching in unorganized 3D point clouds using Convolutional Neural Networks”, Image and Vision Computing, vol. 83-84, 2019. DOI Google Scholar BibTex (3.95 MB)
J. Gené-Mola, Vilaplana, V., Rosell-Polo, J. R., Morros, J. R., Ruiz-Hidalgo, J., and Gregorio, E., “Multi-modal Deep Learning for Fuji Apple Detection Using RGB-D Cameras and their Radiometric Capabilities”, Computers and Electronics in Agriculture, vol. 162, 2019. DOI Google Scholar BibTex

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Book Chapters and Bookstop

2014
O. Schreer, Macq, J., Niamut, O., Ruiz-Hidalgo, J., Shirley, B., Thallinger, G., and Thomas, G., Media Production, Delivery and Interaction for Platform Independent Systems. Wiley, 2014. Google Scholar BibTex

2012
X. Suau, Alcoverro, M., López-Méndez, A., Ruiz-Hidalgo, J., and Casas, J., “INTAIRACT: Joint Hand Gesture and Fingertip Classification for Touchless Interaction”, in Computer Vision – ECCV 2012, vol. 7585, Heidelberg: Springer, 2012, pp. 602-606. DOI Google Scholar BibTex (214.4 KB)

2009
F. Marqués, Menezes, M., and Ruiz-Hidalgo, J., “How are digital TV programs compressed to allow broadcasting?”, in Applied signal processing, T. Dutoit and Marqués, F. 2009, pp. 311–359. Google Scholar BibTex
F. Marqués, Menezes, M., and Ruiz-Hidalgo, J., “How are digital images compressed in the web?”, in Applied signal processing, T. Dutoit and Marqués, F. 2009, pp. 265–310. Google Scholar BibTex

2006
J. Neumann, Casas, J., Macho, D., and Ruiz-Hidalgo, J., “Multimodal Integration of Sensor Network”, in Artificial Intelligence Applications and Innovations, vol. 204, Boston: Springer, 2006, pp. 312–323. DOI Google Scholar BibTex

Conference Papers top

2019
A. Mosella-Montoro and Ruiz-Hidalgo, J., “Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification”, in IEEE Conference on Computer Vision Workshop (ICCVW), Seoul, Korea, 2019. DOI Google Scholar BibTex (314.43 KB)

2017
D. Bazazian, Casas, J., and Ruiz-Hidalgo, J., “Segmentation-based Multi-Scale Edge Extraction to Measure the Persistence of Features in Unorganized Point Clouds”, in International Conference on Computer Vision Theory and Applications, Porto, Portugal, 2017. DOI Google Scholar BibTex (4.3 MB)
B. Luque, Morros, J. R., and Ruiz-Hidalgo, J., “Spatio-Temporal Road Detection from Aerial Imagery using CNNs”, in International Conference on Computer Vision Theory and Applications, Porto, Portugal, 2017. DOI Google Scholar BibTex (6.14 MB)
D. van Sabben, Ruiz-Hidalgo, J., Suau, X., and Casas, J., “Collaborative voting of 3D features for robust gesture estimation”, in International Conference on Acoustics, Speech and Signal Processing, New Orleans, USA, 2017. Google Scholar BibTex (605.86 KB)
A. Pujol-Miró, Ruiz-Hidalgo, J., and Casas, J., “Registration of Images to Unorganized 3D Point Clouds Using Contour Cues”, in The 25th European Signal Processing Conference (EUSIPCO 2017), Kos island, Greece, 2017. DOI Google Scholar BibTex (3.14 MB)

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Theses top

2020
A. Pujol-Miró, “Learning to extract features for 2D-3D multimodal registration”, Universitat Politècnica de Catalunya (UPC), 2020. Google Scholar BibTex (14.22 MB)

2017
E. Perez-Pellitero, “Manifold Learning for Super Resolution”, Leibniz Universität Hannover, Hannover, 2017. Google Scholar BibTex (18.6 MB)
M. Maceira, “Multi-view depth coding based on a region representation combining color and depth information”, Universitat Politècnica de Catalunya (UPC), 2017. Google Scholar BibTex

2013
X. Suau, “Human body analysis using depth data”, Universitat Politècnica de Catalunya (UPC), 2013. Google Scholar BibTex (10.67 MB)

2006
J. Ruiz-Hidalgo, “On the Synergy between indexing and compression representations for video sequences”, Universitat Politècnica de Catalunya (UPC), 2006. Google Scholar BibTex (4.35 MB)

Other top

2017
E. Perez-Pellitero, Salvador, J., Ruiz-Hidalgo, J., and Rosenhahn, B., “Method for upscaling an image and apparatus for upscaling an image”, U.S. Patent US 20170132759 A12017. Google Scholar BibTex	Patent

1999
J. Ruiz-Hidalgo, “The representation of images using scale trees”, University of East Anglia, 1999. Google Scholar BibTex (2.33 MB)	Report

Projects top

A European AI On Demand Platform and Ecosystem	European	Jan 2019	Dec 2021
MALEGRA - Multimodal Signal Processing and Machine Learning on Graphs	National	Jan 2017	Jun 2021
BigGraph - Heterogeneous information and graph signal processing for the Big Data era. Application to high-throughput, remote sensing, multimedia and human computer interfaces.	National	Jan 2014	Dec 2017
SGR14 - Image and Video Processing Group	National	Jan 2014	Apr 2017
MuViPro - Multicamera Video Processing	National	Jan 2011	Aug 2014

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Research Areas top

Region-based image and video processing	Internal	Jan 1992	Dec 2020
Multiview Coding	Internal	Jul 2010	Jul 2018
Multi-view/Multi-sensor scene capture, analysis and representation	Internal	Mar 2004	Nov 2015

Demos and Resources top

Correspondence matching in unorganized 3D point clouds using Convolutional Neural Networks	Software	Oct 2018
Spatio-Temporal Road Detection from Aerial Imagery using CNNs - Dataset	Dataset	Dec 2016
Registration of images to unorganized 3D point clouds using contour cues	Software	Sep 2016
Interactive registration for 3D data fusion	Demo	Jul 2016
Interactive registration for 3D data fusion	Demo	Jul 2016