dr. E. Talavera Martínez MSc (Estefanía)

https://estefaniatalavera.github.io/

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)

Barkai, J. A., Verheijen, M. A. W. , Talavera, E., & Wilkinson, M. H. F. (2023). A comparative study of source-finding techniques in HI emission line cubes using SoFiA, MTObjects, and supervised deep learning. Astronomy & astrophysics, 670, [A55]. https://doi.org/10.1051/0004-6361/202244708

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

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. 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

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

Talavera, E., Petkov, N., & Radeva, P. (2020). Egocentric vision for lifestyle understanding. In Wearable Sensors: Fundamentals, Implementation and Applications (pp. 415-433). Elsevier. https://doi.org/10.1016/B978-0-12-819246-7.00015-2

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Master

Computer Science

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