Josep Ramon Morros

Positionsort descending e-mail
Associate Professor ramon.morros@upc.edu
Office Phone
CN: D5-008 / EET: TR2-102 +34 937398979

Biography

Josep Ramon Morros Rubió received a degree in Physics from the Universitat de Barcelona (UB), Barcelona, Spain, in 1989. He received the Ph.D. from the Universitat Politècnica de Catalunya (UPC)in 2004.

In 1989 he made a short stay at the Research Institute for Technical Physics of the Hungarian Academy of Sciences, in the Division of Semiconductor Microwave Devices, in Budapest, Hungary.

From 1989 to 1990 he worked at Mediterrània d'Enginyeria as a programmer and computer network administrator. From 1991 to 1993 he worked at Instrumentación Electrónica PROMAX, as responsable of the technical documentation department.

From October 1994 to February 1997 he was teaching telecommunications at the UPC. In February 1997, he joined the Escola Universitària Politècnica de Mataró EUPMT, Mataró, Spain, where he teached electronics and computer science until June 2001. He also gave courses on PC Hardware at SC2 Formació during several years.

In 2003 he joined the Universitat Politècnica de Catalunya where he is currently Associate Professor. He is lecturing in the areas of communications, signal processing, digital image processing and computer vision. His current research interests include image and sequence coding, segmentation problems and video sequence analysiss, with application in fields like urban mobility or agriculture.

Since 1994 he has been involved in various European Projects (MAVT, MoMuSys, SIMILAR, CHIL, FascinatE ...) as a researcher from the Image and Video Processing Group at the UPC. 

 Identifiers:

ORCID iD iconorcid.org/0000-0002-1395-487X,     Researcher ID: F-8227-2013,     Scopus Author ID: 35587745500

 Social media:

Twitter account LinkedIn Account ResearchGate Google Scholar     UPC Futur

Journal Articles top

2024
J. Gené-Mola, Ferrer-Ferrer, M., Hemming, J., Dalfsen, P., Hoog, D., Sanz-Cortiella, R., Rosell-Polo, J. R., Morros, J. R., Vilaplana, V., Ruiz-Hidalgo, J., and Gregorio, E., AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation, Data in Brief, vol. 52, 2024.
2023
J. Gené-Mola, Ferrer-Ferrer, M., Gregorio, E., Blok, P. M., Hemming, J., Morros, J. R., Rosell-Polo, J. R., Vilaplana, V., and Ruiz-Hidalgo, J., 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)
M. Ferrer-Ferrer, Ruiz-Hidalgo, J., Gregorio, E., Vilaplana, V., Morros, J. R., and Gené-Mola, J., Simultaneous Fruit Detection and Size Estimation Using Multitask Deep Neural Networks  , Biosystems Engineering, vol. 233, pp. 63-75, 2023. (10.36 MB)
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.

Conference Papers top

In Press
D. Reixach and Morros, J. R., Fast unsupervised tensor restoration via low-rank deconvolution, in IEEE International Conference on Image Processing (ICIP), Abu Dhabi, In Press.
A. Seguí, Ugalde, A., Ventosa, S., and Morros, J. R., Lossless and Lossy Compression for Distributed Acoustic Sensing Using Inter-channel Predictions, in SSA Photonic Seismology 2024, Vancouver, In Press.
2023
J. Gené-Mola, Felip-Pomés, M., Net-Barnés, F., Morros, J. R., Miranda, J. C., J. Satorra, A., L. Jones, A., J. Sanahuja, L., Ruiz-Hidalgo, J., and Gregorio, E., 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)
J. R. Morros, Broquetas, A., Mateo, A., Puig, J., and Davins, M., Real-time lane classification and accident detection for safer micromobility, in 11th Internationa Congress on Transportation Research, Heraklion, Crete, 2023. (2.28 MB)
2020
A. Puig-Sitjes, Jakubowski, M., Fellinger, J., Drewelow, P., Gao, Y., Niemann, H., Sunn-Pedersen, T., König, R., Naujoks, D., Winter, A., Laqua, H., Dumke, S., Moncada, V., Belafdil, C., Mitteau, R., Aumeunier, M. - H., Pisano, F., Aymerich, E., Cannas, B., Kocsis, G., Szepesi, T., Cseh, G., Szabolics, T., Casas, J., Morros, J. R., Salembier, P., Clemente, R., Cobos, M., Caminal, I., A. Corral, P., A. Punzano, M., and S. Lopera, Q., Strategy for the real-time detection of thermal events on the plasma facing components of Wendelstein 7-X, in 31st Symposium on Fusion Technology (SOFT2020), Dubrovnik, Croatia, 2020.

Research Areas top

Deep learning Internal Jun
2014
Dec
2020
Multiview Coding Internal Jul
2010
Jul
2018

Teaching top

Acronym Title Level College
PAE Advanced Project in Science and Telecommunication Technologies (CDIO) 3rd year Telecom BCN - ETSETB
ASPTA Advanced Signal Processing: Tools and Applications Master in Telecommunications Engineering (MET) ETSETB - Telecom BCN
IHCV C1. Introduction to Humand and Computer Vision Master in Computer Vision (MCV) UAB, UB, UOC, UPC & UPF
CVDL Computer Vision with Deep Learning Master in Telecommunications Engineering (MET) ETSETB - Telecom BCN
IDL Introduction to Deep Learning BSc ETSETB TelecomBCN
VA Video Analysis Master in Computer Vision (MCV) UAB, UB, UOC, UPC & UPF