Dr. David Masip
Director | Staff member
webpage || dmasipr(at)uoc.edu ||ORCID
Research topic/area:
Object Recognition and Facial Expression Analysis.
Currently working on:
Emotion Recognition, Automated Animal Tracking, Deep Learning
Areas of Research:
Computer Vision

David Masip is professor in the Computer Science Department, Universitat Oberta de Catalunya since February 2007. He is the director of the SUNAI (Scene Understanding and Artificial Intelligence) research group. He is member of the BCN Perceptual Computing Lab. He studied Computer Science in the Universitat Autonoma de Barcelona, obtaining a FPI grant in 2001 for starting his PhD degree in the Computer Vision Center (Spain). He obtained the PhD degree in September 2005. He obtained the best Thesis award on Computer Science in the Universitat Autònoma de Barcelona.

David Masip was a PhD student of Jordi Vitrià in the Computer Vision Center (CVC), Barcelona, Spain. He co-advised the thesis of Àgata Lapedriza García and Mario Rojas Quiñones.

David Masip’s main research interest is the application of computer vision and pattern recognition to solve problems. David is interested in general machine learning algorithms, with special interest in Deep Learning algorithms and their applications to vision technologies.  Particularly David is always open to collaborate with colleagues, and currently he is working on several research projects:

  • Facial expression analysis and its applications to automated emotion perception in humans. Emotions play an important role in our everyday lives. The automated log of emotions has proved to be especially useful in medical applications (in depression or autism treatment and monitoring). We are currently collaborating with several organizations to provide SW solutions to specific problematics in the facial expression analysis field.
  • Animal tracking. With the recent advances in brain imaging, it became feasible to record large images databases of mice in vivo. This vast amount of data can correlate the neural responses and the visible behavior of the animal. We are designing specific algorithms for mice movement tracking and its applications to neuroscience.
  • Sea animal behavior monitoring. Currently, there exist a huge amount of video recordings of several fish species interacting in a controlled environment. The use of automated tracking and behavior understanding will help biologists to understand the hidden patterns of activity of species.



Ventura, Carles; Masip, David; Lapedriza, Ágata

Interpreting CNN Models for Apparent Personality Trait Regression Inproceedings

Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE Conference on, IEEE, 2017.

BibTeX | Links:

Journal Articles


Sanchez-Mendoza, David; Masip, David; Lapedriza, Àgata

Emotion recognition from mid-level features Journal Article

Pattern Recognition Letters, 67 , pp. 66–74, 2015.

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Escalera, Sergio; Masip, David; Puertas, Eloi; Radeva, Petia; Pujol, Oriol

Online error correcting output codes Journal Article

Pattern Recognition Letters, 32 (3), pp. 458-467, 2011.



Juan, Angel A; Faulin, Javier; Jorba, Josep; Riera, Daniel; Masip, David; Barrios, Barry B

On the use of Monte Carlo simulation, cache and splitting techniques to improve the Clarke and Wright savings heuristics Journal Article

Journal of the Operational Research Society, 2010.



Pujol, Oriol; Masip, David

Geometry-Based Ensembles: Toward a Structural Characterization of the Classification Boundary Journal Article

IEEE Transactions on Pattern Analysis and Machine Intelligence, 31 , pp. 1140–1146, 2009.


Masip, David; Lapedriza, Àgata; Vitrià, Jordi

Boosted Online Learning for Face Recognition Journal Article

IEEE Transactions on Systems Man and Cybernetics part B, 39 , pp. 530–538, 2009.


Caballé, Santi; Lapedriza, Àgata; Masip, David; Xhafa, Fatos; Abraham, Ajith

Enabling Automatic Just-in-time Evaluation of In-class Discussions in On-line Collaborative Learning Practices. Journal Article

Journal of Digital Information Management (JDIM), 7 , pp. 290-297, 2009.



Keil, Matthias S; Lapedriza, Agata; Masip, David; Vitria, Jordi

Preferred Spatial Frequencies for Human Face Processing Are Associated with Optimal Class Discrimination in the Machine Journal Article

PLoS ONE, 3 (7), pp. e2590, 2008.

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Masip, David; Vitrià, Jordi

Shared Feature Extraction for Nearest Neighbor Face Recognition. Journal Article

IEEE TRANSACTIONS ON NEURAL NETWORKS, 19 (4), pp. 586-595, 2008.


Lapedriza, Àgata; Seguí, Santi; Masip, David; Vitrià, Jordi

A sparse Bayesian approach for joint feature selection and classifier learning Journal Article

Pattern Anal. Appl., 11 (3-4), pp. 299–308, 2008, ISSN: 1433-7541.

BibTeX | Links:


Masip, David; Vitrià, Jordi

Boosted discriminant projections for nearest neighbor classification Journal Article

Pattern Recognition, 39 (2), pp. 164-170, 2006.


Lapedriza, Agata; Masip, David; Vitrià, Jordi

On the Use of External Face Features for Identity Verification. Journal Article

JOURNAL OF MULTIMEDIA, 1 (4), pp. 11-20, 2006.



Masip, David; Kuncheva, Ludmila; Vitrià, Jordi

An ensemble-based method for linear feature extraction for two-class problems Journal Article

Pattern Anal. Appl., 8 (3), pp. 227-237, 2005.


Masip, David; Bressan, Marco; Vitrià, Jordi

Feature extraction methods for real-time face detection and classification Journal Article

EURASIP J. Appl. Signal Process., 2005 (1), pp. 2061–2071, 2005, ISSN: 1110-8657.


Masip, David; Vitrià, Jordi

Feature extraction for nearest neighbor classification: Application to gender recognition Journal Article

Int. J. Intell. Syst., 20 (5), pp. 561-576, 2005.