Ferran Marqués
| Position | |
|---|---|
| Professor | ferran.marques@upc.edu |
| Office | Phone |
|---|---|
| D5-111 | +34 934 016 450 |
Biography
Ferran Marqués received a degree on Electrical Engineering from the Technical University of Catalonia (UPC), Barcelona, Spain, in 1988. From 1989 to 1990, he joined the Digital Image Sequence Processing and Coding Group at the Signal Processing lab. of the Swiss Federal Institute of Technology (EPFL). In June 1990, he joined the Department of Signal Theory and Communications of the Technical University of Catalunya (UPC). From June 1991 to September 1991, he was with the Signal and Image Processing Institute (SIPI) at the University of Southern California (USC). He received the Ph.D. from the UPC in 1992, and he obtained the Spanish Best Ph.D. Thesis on Electrical Engineering Award-1992.
In 1993 he joined the Technical University of Catalonia where he is currently Professor. He is lecturing on the area of communications, signal processing, digital image processing and image and video compression. His current research interests include image and video analysis, multiview image analysis, image and video segmentation, semantic image and video for indexing, human face detection and recognition, image and video coding, motion estimation and compensation, mathematical morphology and biomedical applications.
He has led UPC participation in the EC-funded RACE-2072 project "Mobile Audio Visual Terminal" (MAVT) from 1994 to 1995 and in the ACTS-AC098 project "Mobile Multimedia Systems" (MoMuSys) from 1995 to 2000. Within MoMuSys, he acted as Work Package Leader of the "Video Algorithms" work package that, among other tasks, implemented the MPEG-4 VM. He has lead UPC participation in the EC-funded IST-1999-20502 project "Unified intelligent access to heterogeneous audiovisual content" (Faethon) from 2001 to 2003. Currently (2003-), he is leading UPC participation in the EC-funded Network of Excellence SIMILAR where he is WP leader of the "Special Interest Group on Multimodality Analysis and Synthesis".
He has served as Associate Dean for International Relations of the Telecommunication School (ETSETB) at UPC (1997-2000). He has been President of the European Association for Signal, Speech and Image Processing (EURASIP) in the term 2002-2004, after having served in various positions of the ERASIP Administration Committee since 1994 (Membership development 1994-1998, Member Services 1998-2000, Secretary and Treasurer 2000-2002). Currently, he is a member of the Direction Board of the European Master of Research on Information Technologies (MERIT), which has been awarded with the Erasmus Mundus distinction (2004-2009).
He served as Associate Editor of the Journal of Electronic Imaging (SPIE) in the area of Image Communications (1996-2000) and as member of the EURASIP Journal of Applied Signal Processing Editorial Board (2001-2003). Since 2003, he is member of the Editorial Board of the EURASIP Book Series on Signal Processing and Communications (Hindawi Publishing Corporation). He has acted as Guest Editor for the journal Signal Processing: Image Communication (Elsevier) (Special Issue on Image Processing for 3-D Imaging) and for the EURASIP Journal of Applied Signal Processing (Special Issue on Signal Processing for 3D Imaging and Virtual Reality).
He has been Co-Chairman of the EUROIMAGE International Conference on Augmented Virtual Enviroments and 3-Dimensional Imaging (ICAV3D-2001, Mykonos, Greece, May 2001), Special Sessions Co-Chairman in the International Conference on Image Processing (ICIP-2003, Barcelona, Spain, September 2003) and Technical Chairman of the 4th International Workshop on Content-Based Multimedia Indexing (CBMI-2005, Riga, Latvia, June 2005). He is author or co-author of more than 100 publications that have appeared as journal papers and proceeding articles, 4 book chapters and 4 international patents.
Journal Articles top
, “Combining graph neural networks and computer vision methods for cell nuclei classification in lung tissue”, Heliyon, vol. 10, no. 7, 2024. (4.05 MB) |
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, “3D hierarchical optimization for multi-view depth map coding”, Multimedia Tools and Applications, 2017. (4.23 MB) |
| , “Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 38, no. 7, pp. 128-140, 2017. |
| , “Supervised Evaluation of Image Segmentation and Object Proposal Techniques”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 38, no. 7, pp. 1465 - 1478, 2016. |
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, “Improving retrieval accuracy of Hierarchical Cellular Trees for generic metric spaces”, Multimedia Tools and Applications, 2013. (1.97 MB) |
Book Chapters and Bookstop
| , “Object Retrieval with Deep Convolutional Features”, in Deep Learning for Image Processing Applications, vol. 31, Amsterdam, The Netherlands: IOS Press, 2017. |
| , “Hierarchical Object Detection with Deep Reinforcement Learning”, in Deep Learning for Image Processing Applications, vol. 31, Amsterdam, The Netherlands: IOS Press, 2017. |
| , “Region-based caption text extraction”, in Lecture Notes in Electrical Engineering (Analysis, Retrieval and Delivery of Multimedia Content), vol. 158, New York: Springer, 2013, pp. 21-36. |
| , “Image Analysis and Understanding Based on Information Theoretical Region Merging Approaches for Segmentation and Cooperative Fusion”, in Handbook of Research on Computational Intelligence for Engineering, Science, and Business, IGI Global, 2012, pp. 75-121. |
| , “Hierarchical Navigation and Visual Search for Video Keyframe Retrieval”, in Advances in Multimedia Modeling, vol. 7131, Springer Berlin / Heidelberg, 2012, pp. 652-654. |
Conference Papers top
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, “Enhancing Ki-67 Cell Segmentation with Dual U-Net Models: A Step Towards Uncertainty-Informed Active Learning”, in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024. (838.72 KB) |
| , “Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation”, in CVPR 2021 Robust Video Scene Understanding: Tracking and Video Segmentation (RVSU) Workshop, 2021. |
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, “RVOS: End-to-End Recurrent Network for Video Object Segmentation”, in CVPR, Long Beach, CA, USA, 2019. (5.76 MB) |
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, “Recurrent Neural Networks for Semantic Instance Segmentation”, in ECCV 2018 Women in Computer Vision (WiCV) Workshop, 2018. (2.55 MB) |
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, “Recurrent Neural Networks for Semantic Instance Segmentation”, in CVPR 2018 DeepVision Workshop, 2018. (199.14 KB) |
Theses top
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, “Knowledge graph population from news streams”, Universitat Politècnica de Catalunya, Barcelona, Catalonia, 2023. (6.07 MB) |
| , “Sports broadcasting and multiple object tracking with deep learning methods”, 2021. |
| , “Computer Vision beyond the visible: Image understanding through language”, Universitat Politecnica de Catalunya, Barcelona, 2019. |
| , “Region-based Particle Filter Leveraged with a Hierarchical Co-clustering”, UPC, Barcelona, 2016. |
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, “Visual Object Analysis using Regions and Local Features”, 2016. (2.5 MB) |
Other top
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, “Object Model Adaptation for Multiple Object Tracking”, 2021. (785.3 KB) |
Report |
| , “Efficient search of objects in images using deep reinforcement learning”, NIPS Women in Machine Learning Workshop. Barcelona., 2016. | Unpublished |
| , “Inclusion of depth information on a temporal hierarchical co-clustering technique”. 2015. | Ms Thesis |
| , “Region-based Particle Filter”. 2015. | Ms Thesis |
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, “Improving Spatial Codification in Semantic Segmentation (Supplementary Material)”, 2015. (18.81 MB) |
Report |
Projects top
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DigiPatICS: Projecte d'optimització del diagnòstic anatomopatòleg en xarxa als hospitals de l'Institut Català de la Salut a través de la digitalització i eines d'intel·ligència Artificial | Other | Oct 2020 | Dec 2025 |
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AIMING: Unbiased and explainable artificial intelligence for medical imaging | National | Sep 2021 | Aug 2024 |
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A European AI On Demand Platform and Ecosystem | European | Jan 2019 | Dec 2021 |
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SGR17 - Image and Video Processing Group | National | Jan 2017 | Sep 2021 |
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MALEGRA - Multimodal Signal Processing and Machine Learning on Graphs | National | Jan 2017 | Jun 2021 |
Research Areas top
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Biomedical Applications | Internal | Jan 2012 | Dec 2026 |
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Remote Sensing Image Processing | Internal | Jan 2010 | Jun 2021 |
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Region-based image and video processing | Internal | Jan 1992 | Dec 2020 |
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Multimedia Retrieval | Internal | Sep 2001 | Dec 2018 |
Demos and Resources top
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Faster R-CNN Features for Instance Search (software) | Software | May 2016 |
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Supervised Evaluation of Image Segmentation | Software | Jun 2013 |
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Mediapro-UPC Dataset | Dataset | Feb 2013 |
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Supervised Assessment of Segmentation Hierarchies | Software | Jul 2012 |
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GAT, Graphical Annotation Tool | Software | Jul 2012 |
Teaching top
| Acronym | Title | Level | College |
|---|---|---|---|
| TAD | Analog and Digital Television Systems | Telecommunications Engineering, 5 years degree | TelecomBCN, ETSETB |
| IDL | Introduction to Deep Learning | BSc | ETSETB TelecomBCN |