Javier Ruiz Hidalgo

Positionsort descending e-mail
Associate Professor j.ruiz@upc.edu
Office Phone
D5-008 (Barcelona - ETSETB)
TR2-103 (Terrassa - ESEIAAT) 		+34 9373 98980
Journals Books Conferences Theses Other Projects Research Demos Teaching

 

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.
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.
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. (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.
J. Gené-Mola, Vilaplana, V., Rosell-Polo, J. R., Morros, J. R., Ruiz-Hidalgo, J., and Gregorio, E., “KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data”, Data in Brief, 2019. (2.43 MB)
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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.
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. (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.
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.
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.

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. (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. (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. (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. (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. (3.14 MB)
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Theses top

2017
E. Perez-Pellitero, “Manifold Learning for Super Resolution”, Leibniz Universität Hannover, Hannover, 2017. (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.
2013
X. Suau, “Human body analysis using depth data”, Universitat Politècnica de Catalunya (UPC), 2013. (10.67 MB)
2006
J. Ruiz-Hidalgo, “On the Synergy between indexing and compression representations for video sequences”, Universitat Politècnica de Catalunya (UPC), 2006. (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. Patent
1999
J. Ruiz-Hidalgo, “The representation of images using scale trees”, University of East Anglia, 1999. (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 		Dec
2020
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
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Teaching top

Acronym Title Level College
PAE Advanced Project in Science and Telecommunication Technologies (CDIO) 3rd year Telecom BCN - ETSETB
CM Codificació Multimèdia Degree in AudioVisual Systems ESEIAAT
VC Computer Vision Degree in Engineering of Audiovisual Systems ESEIAAT
DLAI Deep Learning for Artificial Intelligence Master MET ETSETB TelecomBCN
DLCV Deep Learning for Computer Vision Master in Telecommunications Engineering (MET) ETSETB Telecom BCN
IPSAV Introduction to Audiovisual Signal Processing Degree in Engineering of Audiovisual Systems TelecomBCN, ETSETB
ICV Introduction to Computer Vision Master in Telecommunications Engineering (MET) ETSETB - Telecom BCN
IDL Introduction to Deep Learning BSc ETSETB TelecomBCN
IHCV M1. Introduction to Humand and Computer Vision Master in Computer Vision (MCV) UAB, UOC, UPC & UPF
APA Programming Audio-Visual Algorithms Degree in Engineering of Audiovisual Systems ESEIAAT

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