Petia Radeva’s Homepage

Petia foto

Full professor, at the Department of Mathematcis and Computer Science, Faculty of Mathematics and Computer Science, Universitat de Barcelona, Icrea Academia

Senior Researcher at Computer Vision Center (CVC)

Head of Computer Vision and Machine Learning at the University of Barcelona consolidated research group (

Personal Web:,
email: petia dot ivanova at ub dot edu
Google Scholar Citations, Microsoft Academic Record, LinkedIn, ResearchGate
We often have open postdoc positions on Machine learning and Computer Vision. If you are interested, send an email to radevap at gmail dot com
We have a vacant Master and/or PhD Fellowship on Deep learning and applications to real problems! If you are interested, send your CV and Academic transcript to radevap at gmail dot com


I did my undergraduate study at the University of Sofia, Bulgaria, at 1989. In 1991 I moved to Spain where in 1993 I presented my Master at the Universitat Autònoma de Barcelona in the field of Image Processing, Computer Graphics and Artificial Intelligence. In 1996, I received my Ph.D. degree from the Universitat Autònoma de Barcelona. Currently, I’m Head of Barcelona Perceptual Computing Laboratory (BCNPCL) at the University of Barcelona and Head of Medical Imaging Laboratory (MILab) of Computer Vision Center ( My present research interests are on development of learning-based approaches for computer vision and image processing. Some of the recent projects I’m currently leading or participate are: Can a monitorizing wearable camera help change our lifestyle?, Machine learning tools for large scale object recognition, Audience measurements by Computer Vision, Evaluation of Intestinal Motility by Endoluminal Image Analysis, Sponsored Research Agreement on Automatic Stent Detection in IVUS, Study for the development of a polyp detection algorithm under a Polyp Detection, etc.

Currently, I’m member of:

Research interests

My research interests are in the fields of:

  • Lifelogging and egocentric vision
  • Event detection
  • Object discovery
  • Video segmentation and analysis
  • Image segmentation
  • Multi-class classification

Applications of Computer Vision and Machine Learning to Healthcare deserve special interest to me. In particular:

  • Applying life-logging to Mild Cognitive Impairment patients.
  • Applying life-logging to improve healthy habits of persons.
  • Wireless endoscopy for intestine motility disorders diagnosis.
  • Registration and retrieval of IVUS pullbacks for pre- post-intervention assessment.

Selected Recent Publications




  • Marc Bolaños, Mariella Dimiccoli, Petia Radeva, “Towards Screen Shot 2015-07-25 at 19.53.46Storytelling from Visual Lifelogging: An Overview”, arXiv:1507.06120, 2015, (under revision).




Screen Shot 2015-07-25 at 20.03.41



Screen Shot 2015-07-25 at 20.08.18

  • Estefania Talavera, Mariella Dimiccoli, Marc Bolaños, Maedeh Aghaei and Petia Radeva. R-clustering for Egocentric Video Segmentation, IBPRIA’15, Santiago de Compostela, 2015.



Screen Shot 2015-07-25 at 20.05.44Marc Bolaños, Maite Garolera and Petia Radeva. Object Discovery using CNN Features in Egocentric Videos, IBPRIA’15, Santiago de Compostela, 2015.




motion-based segmentation
  • M. Bolaños, M. Garolera, P. Radeva, “Video segmentation of life-logging videos”, AMDO’2014, Springer-Verlag, 2014, p.1-9.




object discovery

  • M. Bolaños, P. Radeva, “Object Discovery for Egocentric Videos Based on Convolutional Neural Network Features”, Workshop on Storytelling, ECCV, 2014, (extended version submitted to a journal).



lifelogging tracking

  • M. Aghaei, P. Radeva, “Bag-of-Tracklets for Person Tracking in Life-LoggingData”, CCIA’2014, Proceedings of Catalonian Conference on Artificial Intelligence, Barcelona, Spain, 22 of October, 2014.




Maedeh Aghaei, Mariella Dimiccoli, Petia Radeva, Multi-Face Tracking by Extended Bag-of-Tracklets in Egocentric Videos, Computer vision and image understanding journal, 149 · July 2015, DOI: 10.1016/j.cviu.2016.02.013, arXiv:1507.04576

Active learning of dishesMarc Bolaños, Maite Garolera, Petia Radeva, “Active Labeling Application Applied to Food-Related Object Recognition”, 5th Workshop on Multimedia for Cooking and Eating Activities: CEA2013, ACM International Conference on Multimedia 2013, Barcelona October, 2013.




  • Invited plennary talk at the Artificial Intelligence International Conference A2IC’2018, Barcelona, Spain, 22.11.2018.
  • Open lecture on “Uncertainty-aware CNNs. Application to food image analysis” as a conclusion of the second edition of the Deep Learning for Artificial Intelligence course of Master MET, UPC, 17.12.2018.
  • Invited talk on “Deep Learning and Computer Vision” at the Aula Magna, Lima, Peru, 5.11.18.
  • Invited talk on “Uncertainty-aware food analysis by Deep learning” at the International Confrence on Machine Vision, ICMV’2018, Munich, Germany, 2.10.2018.


PhD and Master students:

  • Marc Bolaños (PhD Fellow, UB).
  • Estefania Talavera (Master Fellow, UB, co-supervised with Prof. Nicolai Petkov, of the University of Groningen).
  • Alejandro Cartas, (PhD Fellow, Mexican Council of Science and Technology (CONACYT) grant-no. 366596).
  • Eduardo Aguilar, (PhD Fellow, CONICYT Becas Chile).
  • Marga Torre, La Generalitat de Catalunya, co-supervised with Dr. Fernando Hernandez (UPC) and Ricardo Toledo (UAB).
  • Martin Menchon, INTIA, UNICEN, Argentina.
  • Mostafa Kemal Sarker, URV, Tarragona, Spain.
  • Ander Sainz, Sensoryvalue, Barcelona, Spain.

PhD. Collaborators:

External collaborations:

  • Maite Garolera, Head of Neuropsychology Unit at Consorci Sanitari de Terrassa.
  • Domenec Puig, Associate professor, Universitat Rovira i Virgili (URV).
  • Xavier Giro-i-Nieto, Associate professor, UPC.
  • Jose Massa & Jose Moreno, Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina.


Supervised PhD thesis:

16. Maedeh Aghaei, 2018, UB, co-supervised with Dr. Mariella Dimiccoli.

15. Felip Miralles, 2016, UB

14. Michal Drozdzal, 2014, UB

13. Marina Alberti, 2013, UB

12. Francesco Ciompi, 2012, UB

11. Pierluigi Casale, 2011, UB

10. Sergio Escalera, 2009, UAB

9. David Rotger, 2008, UAB

8. Fernando Vilariño, 2006, UAB

7. Jaume Amores, 2006, UAB

6. Ignacio Pulido, 2005, University of Zaragoza

5. Misael Rosales, 2005, UAB

4. Debora Gil, 2004, UAB

3. Oriol Pujol, 2004, UAB

2. Cristina Cañero, 2003, UAB

1. Ricardo Toledo, 2002, UAB

Supervised Master thesis:

  • Maria Leyva, 2017.
  • Pedro Herruzo, 2017.
  • Laura Portell, 2017.
  • Alberto Soto, 2017.
  • Emanuela Mollova, 2017.
  • Chen Zang, BioHealth Master, co-supervised with Laura Igual (UB).
  • Marc Bolaños, UB, 2014.
  • Maedeh Aghaei, UB, 2013.


Currently, I’m teaching:

Computer Vision, a course for 3rd year students of Computer Science undergraduate study at the University of Barcelona.

Artificial Vision, a Master course for students of graduate study on Artificial Intelligence, UPC-UB-URV.

Advanced Medical Imaging, a Master course for students of graduate study on Biomedical Engineering.

Graduate course on Data science, UB.

Professional Service

Program committee of MICCAI’2015, CAIP’2015, CCIA’2015, etc.

Local area chair at CVPR’2014.

Local area chair of ICPR’2014.

Special sessions chairwomen of ICME’2014.

Chairwomen of Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT), Workshop at MICCAI’2014.

Program committee member of: CBMS 2019, APPIS 2019, SITIS 2018, MMM 2019, CAIP2019, CAEPIA 2018, CCIA 2018, SITIS 2018, MADiMa2018, CompIMAGE’18, MLDM 2018, APPIS 2018, ISCSA2017, MMWorkshop17, SSPandBE 2017, NFQS3, CCIA 2017, CBMS2017, WBICV2017IBPRIA’17, WiML’2016, CIARP’2016, CCIA’2016, DATRA’2016, CompIMAGE’2016, LTA’2016, MLPRA’2016, CCIA’2015, CIAPR’2014, CIARP’2014, AMDO’2012, CAIP’2013, CCIA’2014, CIARP’2012, CIARP’2014, CAIP’2015, CAIP’2013, JCC’2013, JCC’2014, MCPR’2013, MICCAI-STENT’2013, MICCAI-STENT’2012.

Petia Radeva has been the honorable chair of ICMV 2018, ICMV 2017, ICMV 2016, ICMV 2015, ICMV 2014, and invited speaker at AMDO’2014, CAIP’2015, CEIG’2003, etc.


Petia Radeva: «La transferència de coneixement és un motor de motivació per als investigadors», interview from the Fundació “Bosch i Gimpera”, May, 2016, Barcelona.

El CST rep una beca per la investigació en malalties neurodegeneratives“, terassadigital.cot, 31 d’Octubre, 2014.

“Convertir las 8 horas de película de la endoscopia sin cable en un ‘corto’”, El Mundo, April, 9th, 2014.


Algoritmos de visión artificial para la salud coronaria“, 08/01/2014,, Portal de ingenieros superiores.

“Algorithms of computer vision for coronary health”, UB, 2014.

UB premia estudis de neurolingüística i de nanotecnologia per vèncer càncer“, La Vanguardia, Desember 12, 2013.

La UB reclama més inversió pública per transferir el coneixement de les universitats“, EuropaPress, Desember 12, 2013.