Javier Ruiz Hidalgo
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. 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.
Journal Articles top
“Simultaneous Fruit Detection and Size Estimation Using Multitask Deep Neural Networks ”, Biosystems Engineering, vol. 233, pp. 63-75, 2023. (10.36 MB) | ,
“Looking behind occlusions: A study on amodal segmentation for robust on-tree apple fruit size estimation”, Computers and Electronics in Agriculture, vol. 209, 2023. (9.02 MB) | ,
“2D–3D Geometric Fusion network using Multi-Neighbourhood Graph Convolution for RGB-D indoor scene classification”, Information Fusion, vol. 76, 2021. (771.86 KB) | ,
“Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry”, Computers and Electronics in Agriculture, vol. 169, 2020. | ,
Book Chapters and Bookstop
Media Production, Delivery and Interaction for Platform Independent Systems, vol. ISBN 978-1-118-60533-2. Wiley, ISBN 978-1-118-60533-2, 2014. | ,
“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) | ,
“How are digital TV programs compressed to allow broadcasting?”, in Applied signal processing, 2009, pp. 311–359. | ,
“How are digital images compressed in the web?”, in Applied signal processing, 2009, pp. 265–310. | ,
“Multimodal Integration of Sensor Network”, in Artificial Intelligence Applications and Innovations, vol. 204, Boston: Springer, 2006, pp. 312–323. | ,
Conference Papers top
“Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs”, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023. (1.4 MB) | ,
“Video-Based Fruit Detection and Tracking for Apple Counting and Mapping”, in IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), 2023. (680.49 KB) | ,
“Channel Redundancy and Overlap in Convolutional Neural Networks with Channel-Wise NNK Graphs”, in International Conference on Acoustics, Speech and Signal Processing, 2022. (1.13 MB) | ,
“SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters”, in IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), New Orleans, USA, 2022. (5.45 MB) | ,
“Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation”, in Asia Pacific Signal and Information Processing Association Annual Summit, APSIPA, Tokyo, Japan, 2021. (995.84 KB) | ,
Theses top
“Graph Convolutional Neural Networks for 3D Data Analysis”, Universitat Politècnica de Catalunya, Barcelona, 2023. | ,
“Learning to extract features for 2D-3D multimodal registration”, Universitat Politècnica de Catalunya (UPC), 2020. (14.22 MB) | ,
“Manifold Learning for Super Resolution”, Leibniz Universität Hannover, Hannover, 2017. (18.6 MB) | ,
“Multi-view depth coding based on a region representation combining color and depth information”, Universitat Politècnica de Catalunya (UPC), 2017. (15.24 MB) | ,
“Human body analysis using depth data”, Universitat Politècnica de Catalunya (UPC), 2013. (10.67 MB) | ,
Other top
“A method, system and computer programs to automatically transform an image”, 2022. | ,Patent |
“Improved Neural Network Generalization using Channel-Wise NNK Graph Constructions”. Final Year Project, UPC, 2021. (3.67 MB) | ,Unpublished |
“Method for upscaling an image and apparatus for upscaling an image”, U.S. Patent US 20170132759 A12018. | ,Patent |
“The representation of images using scale trees”, University of East Anglia, 1999. (2.33 MB) | ,Report |
Projects top
AI-Enhanced Fiber-Wireless Optical 6G Network in Support for Connected Mobility | European | Jan 2024 | Dec 2026 | |
DeeLight: Efficient Deep Learning for Video Sequences and Point Clouds | National | Sep 2021 | Aug 2024 | |
Generación automática de estadísticas y vídeos para la mejora deportiva de equipos semiprofesionales mediante IA | Other | Jan 2023 | Jun 2024 | |
Artificial Intelligence for Magnetic Devices in Quantum and Neuromorphic Computing | National | Jan 2023 | Dec 2023 | |
A European AI On Demand Platform and Ecosystem | European | Jan 2019 | Dec 2021 |
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 |