About Me
https://estefaniatalavera.github.io/
Expertise
Engineering & Materials Science
# Cameras
# Convolutional Neural Networks
# Data Storage Equipment
# Deep Learning
# Semantics
# Sentiment Analysis
Mathematics
# Video Surveillance
# Vision
Organisations
Publications
Recent
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, Article A55. Advance online publication.
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. Advance online publication.
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, Article 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. Article 9328814. Advance online publication.
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
UT Research Information System
Google Scholar Link
Affiliated Study Programmes
Master
Courses Academic Year 2023/2024
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses Academic Year 2022/2023
Contact Details
Visiting Address
University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands
Mailing Address
University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands