dr. E. Talavera Martínez MSc (Estefanía)

Engineering & Materials Science

# Cameras
# Convolutional Neural Networks
# Data Storage Equipment
# Deep Learning
# Semantics
# Sentiment Analysis

Mathematics

# Video Surveillance
# Vision

Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Datamanagement & Biometrics (DMB)

Boekhoudt, K. , & Talavera, E. (2022). Spatial-Temporal Transformer for Crime Recognition in Surveillance Videos. In AVSS 2022 - 18th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2022 - 18th IEEE International Conference on Advanced Video and Signal-Based Surveillance). IEEE. https://doi.org/10.1109/AVSS56176.2022.9959414

Barkai, J. A., Verheijen, M. A. W. , Talavera, E., & Wilkinson, M. H. F. (2022). A comparative study of source-finding techniques in HI emission line cubes using SoFiA, MTObjects, and supervised deep learning. Astronomy & astrophysics. https://doi.org/10.1051/0004-6361/202244708

Glavan, A. , & Talavera, E. (2022). InstaIndoor and multi-modal deep learning for indoor scene recognition. Neural Computing and Applications, 34, 6861-6877. https://doi.org/10.1007/s00521-021-06781-2

Boekhoudt, K., Matei, A., Aghaei, M. , & Talavera, E. (2021). HR-Crime: Human-Related Anomaly Detection in Surveillance Videos. In N. Tsapatsoulis, A. Panayides, T. Theocharides, A. Lanitis, A. Lanitis, C. Pattichis, C. Pattichis, & M. Vento (Eds.), Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Proceedings (pp. 164-174). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13053 LNCS). Springer Science + Business Media. https://doi.org/10.1007/978-3-030-89131-2_15

Cartas, A. , Talavera, E., Radeva, P., & Dimiccoli, M. (2021). Understanding Event Boundaries for Egocentric Activity Recognition from Photo-Streams. In Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10–15, 2021, Proceedings, Part III (pp. 334-347). (Lecture notes in computer science; Vol. 12663). https://doi.org/10.1007/978-3-030-68796-0_24

Martinez, E. T., Radeva, P., & Petkov, N. (2021, Sep 10). EgoRoutine: Topic modelling for routine discovery from egocentric photo-streams. https://doi.org/10.4121/16577627

Morales, D. , Talavera, E., & Remeseiro, B. (2021). Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques. Neural Computing and Applications, 33, 16937–16949. https://doi.org/10.1007/s00521-021-06282-2

Glavan, A., Matei, A., Radeva, P. , & Talavera, E. (2021). Does our social life influence our nutritional behaviour? Understanding nutritional habits from egocentric photo-streams. Expert systems with applications, 171, [114506]. https://doi.org/10.1016/j.eswa.2020.114506

Matei, A., Glavan, A., Radeva, P. , & Talavera, E. (2021). Towards Eating Habits Discovery in Egocentric Photo-Streams. IEEE Access, 9, 17495-17506. [9328814]. https://doi.org/10.1109/ACCESS.2021.3053175

Wang, X. , Talavera, E., Karastoyanova, D., & Azzopardi, G. (2021). Fall Detection and Recognition from Egocentric Visual Data: A Case Study. In A. Del Bimbo, R. Cucchiara, S. Sclaroff, G. M. Farinella, T. Mei, M. Bertini, H. J. Escalante, & R. Vezzani (Eds.), Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10–15, 2021, Proceedings (pp. 431-443). (Lecture Notes in Computer Science; Vol. 12661). Springer. https://doi.org/10.1007/978-3-030-68763-2_33

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Naar mijn profiel

Master

Computer Science

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.