Javier Ruiz Hidalgo

Positionsort ascending e-mail
Associate Professor j.ruiz@upc.edu
Office Phone
D5-008 (Barcelona - ETSETB)
TR2-103 (Terrassa - ESEIAAT)
+34 9373 98980


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. During 2017 to 2021 he was the principal researcher for the national project MALEGRA developing tools combining graph signal representation and processing ideas with machine learning technology.

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, image processing and computer vision. His current research interests include 3D video coding and analysis, graph neural networks, conditional generative networks and super-resolution.

Conference Papers top

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)
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)

Theses top

A. Pujol-Miró, Learning to extract features for 2D-3D multimodal registration, Universitat Politècnica de Catalunya (UPC), 2020. (14.22 MB)
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.
X. Suau, Human body analysis using depth data, Universitat Politècnica de Catalunya (UPC), 2013. (10.67 MB)
J. Ruiz-Hidalgo, On the Synergy between indexing and compression representations for video sequences, Universitat Politècnica de Catalunya (UPC), 2006. (4.35 MB)

Research Areas top

Region-based image and video processing Internal Jan
Multiview Coding Internal Jul
Multi-view/Multi-sensor scene capture, analysis and representation Internal Mar

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
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
VA Video Analysis Master in Computer Vision (MCV) UAB, UOC, UPC & UPF