Josep Ramon Morros
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.org/0000-0002-1395-487X, Researcher ID: F-8227-2013, Scopus Author ID: 35587745500
Social media:
Journal Articles top
“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) | ,
“Simultaneous Fruit Detection and Size Estimation Using Multitask Deep Neural Networks ”, Biosystems Engineering, vol. 233, pp. 63-75, 2023. (10.36 MB) | ,
“Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry”, Computers and Electronics in Agriculture, vol. 169, 2020. | ,
“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. | ,
Book Chapters and Bookstop
Diccionari de Telecomunicacions. 2007. | ,
“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
“Fast unsupervised tensor restoration via low-rank deconvolution”, in IEEE International Conference on Image Processing (ICIP), Abu Dhabi, In Press. | ,
“Lossless and Lossy Compression for Distributed Acoustic Sensing Using Inter-channel Predictions”, in SSA Photonic Seismology 2024, Vancouver, In Press. | ,
“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) | ,
“Real-time lane classification and accident detection for safer micromobility”, in 11th Internationa Congress on Transportation Research, Heraklion, Crete, 2023. (2.28 MB) | ,
“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. | ,
Theses top
“Multi-view depth coding based on a region representation combining color and depth information”, Universitat Politècnica de Catalunya (UPC), 2017. (15.24 MB) | ,
“Optimization of Segmentation Based Video Sequence Coding Techniques: Application to Content Based Functionalities”, Universitat Politècnica de Catalunya (UPC), 2004. | ,
Other top
“Automatic Human Detection and Tracking for Robust Video Sequence Annotation”. 2014. | ,Ms Thesis |
“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 |
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 |