Josep Ramon Morros

Position e-mail
Associate Professor ramon.morros@upc.edu
Office Phone
CN: D5-008 / EET: TR2-102 +34 937398979
Journals Books Conferences Theses Other Projects Research Demos Teaching

 

Biography

I received a degree in Physics from the Universitat de Barcelona (UB), Barcelona, Spain, in 1989, and a Ph.D. from the Universitat Politècnica de Catalunya (UPC) in 2004. From 1989 to 1994 I worked at several technological companies. From October 1994 to February 1997 I was teaching telecommunications at the UPC as an assistant professor. In 2003, I joined the UPC, where I am currently Associate Professor since 2012, and member of the Intelligent Data Science and Artificial Intelligence Research Center (IDEAI). I am lecturing in the areas of signal processing, computer vision and artificial intelligence in two degrees and in three official master's programs. I have advised more than 70 final degree projects, 25 final master projects and one PhD thesis. From 2013 to 2015 I was responsible for the degree of Audiovisual Systems at the Escola d'Enginyeria de Terrassa (EET, now ESEIAAT). Also, I am an elected member of the worker's council of academic personnel at the UPC.

My research started in the field of video coding but in the last years I have been researching in image, video and 3D analysis, mainly with deep learning methods. My current research interests include multiview and 3D representations, object detection and tracking, activity recognition, incremental learning and efficient application of machine learning. I have applied this research in the fields of agri-food, smart mobility, computational biology, sports analytics and others. I’m currently advising two PhD students in the field of 3D image restoration and multidimensional signal processing.

Since 1994 I have been involved in various European Projects (MAVT, MoMuSys, SIMILAR, CHIL, FascinatE, Eurofusion, AI4EU, ...) as a researcher from the Image and Video Processing Group at the UPC. I have acted as PI of the Spanish project PID2020-117142GB-I00 DeeLight. I have been PI at the UPC of at UPC in one Spanish project CENIT Vision-A3 (CDTI), in the EIT Urban Mobility project RideSafeUM, the European projects DISCO and SMARTIN, and in several contracts with companies like Abertis, Hewlett.-Packard, Visual Engineering, and Narada Robotics. In my research, I collaborate habitually with public organizations such as the Barcelona City Council or Transports Metropolitans de Barcelona and research institutes like CEAB-CSIC or CERTH. 

I am acting regularly as technical committee member in numerous conferences, with a "Best reviewer Award" at EUSIPCO 2015, and I have chaired one session at DSP 2013. Also, I am peer-reviewing for various indexed journals. Furthermore, I have participated in evaluation benchmarks and challenges, and I was Leader of the “2D Face tracking task” in the CLEAR2007 evaluations. I have collaborated in dissemination activities like interviews in newspapers, the ciutadan.ia course and the AI video capsules, both oriented at general, non-scientific audiences.

 Identifiers:

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

 Social media:

  LinkedIn Account  LinkedIn Account ResearchGate Google Scholar     UPC Futur

Journal Articles top

2025
A. Manjabacas, Chic, O., García-Ladona, E., Tuset, V. M., Morros, J. R., Sayrol, E., Martí-Puig, P., Forest, J., Vasconcelos, J., and Lombarte, A., “Twenty years of AFORO: New developments and connections enhancing otolith research”, Fisheries Research, vol. 281, 2025.
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.
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Book Chapters and Bookstop

2007
M. Aguilar, Alcober, J., Altes, J., Aragones, X., Artigas, D., Bardes, D., Barlabe, A., Bragos, R., Calderer, J., Cardama, A., Casademont, J., Casals, L., Comerón, A., Cotrina, J., Cruz, L., Dios, F., Duxans, H., Esparza, O., Esquerra, I., Garcia, D., Garcias, P., Gomez, C., Gorricho, J., Guinjoan, F., Hesselbach, X., Liria, A., López, J., Madrenas, J., Madueño, M., Mestre, F., Monte, E., Morros, J. R., Muñoz, J., Pallarés, E., Pons, J., Recolons, J., Rincon, D., Riu, P., Pradell, L., Pascual-Iserte, A., Prat, L., Rey, F., and Villares, J., Diccionari de Telecomunicacions. 2007.
2006
J. Luque, Morros, J. R., Garde, A., Anguita, J., Farrús, M., Macho, D., Marqués, F., Martínez, C., Vilaplana, V., and Hernando, J., “Audio, Video and Multimodal Person Identification in a Smart Room”, in Lecture notes in computer science - Multimodal Technologies for Perception of Humans, vol. 4122, 2006, pp. 258–269. (321.95 KB)

Conference Papers top

2024
D. Reixach and Morros, J. R., “Fast unsupervised tensor restoration via low-rank deconvolution”, in IEEE International Conference on Image Processing (ICIP), Abu Dhabi, 2024.
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, 2024.
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.
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Theses top

2017
M. Maceira, “Multi-view depth coding based on a region representation combining color and depth information”, Universitat Politècnica de Catalunya (UPC), 2017. (15.24 MB)
2004
J. R. Morros, “Optimization of Segmentation Based Video Sequence Coding Techniques: Application to Content Based Functionalities”, Universitat Politècnica de Catalunya (UPC), 2004.

Other top

2014
R. Llorca Queralt, “Automatic Human Detection and Tracking for Robust Video Sequence Annotation”. 2014. Ms Thesis
1996
P. Salembier, Marqués, F., Corset, I., Bouchard, L., Jeannin, S., Pardàs, M., Morros, J. R., Meyer, F., and Marcotegui, B., “Segmented Picture Coding Method and System and Corresponding Decoding Method and System”, U.S. Patent 964009161-1996. (2.27 MB) Patent

Projects top

DeeLight: Efficient Deep Learning for Video Sequences and Point Clouds National Sep
2021 		Aug
2025
Generación automática de estadísticas y vídeos para la mejora deportiva de equipos semiprofesionales mediante IA Other Jan
2023 		Jun
2024
Advanced active safety solutions for micro-mobility vehicles European Jan
2022 		Dec
2023
Image processing for Plasma Facing Components protection European Jan
2019 		Dec
2022
A European AI On Demand Platform and Ecosystem European Jan
2019 		Dec
2021
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Research Areas top

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

Demos and Resources top

AI4EU Grape Dataset Dataset Nov
2021
Additional results for "Action Tube Extraction based 3D-CNN for RGB-D Action Recognition" Results May
2018
Spatio-Temporal Road Detection from Aerial Imagery using CNNs - Dataset Dataset Dec
2016
PROMEDS Additional results Results Jul
2012
Panoramic TV Control Demo Jun
2012
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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