dr. E. Talavera Martínez MSc (Estefanía)

Universitair docent


Engineering & Materials Science
Convolutional Neural Networks
Data Storage Equipment
Deep Learning
Sentiment Analysis
Video Surveillance


De Lima Costa, W. , Talavera Martínez, E., Figueiredo, L. S., & Teichrieb, V. (2023). High-level context representation for emotion recognition in images. In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023 (pp. 326-334). (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2023-June). IEEE. https://doi.org/10.1109/CVPRW59228.2023.00038
Menchón, M. , Talavera, E., Massa, J., & Radeva, P. (2023). Behavioural patterns discovery for lifestyle analysis from egocentric photo-streams. Pervasive and Mobile Computing, 95, Article 101846. https://doi.org/10.1016/j.pmcj.2023.101846
Omara, J. , Talavera, E., Otim, D., Turcza, D., Ofumbi, E., & Owomugisha, G. (2023). A field-based recommender system for crop disease detection using machine learning. Frontiers in Artificial Intelligence, 6, Article 1010804. https://doi.org/10.3389/frai.2023.1010804
Wang, X. , Talavera, E., Karastoyanova, D., & Azzopardi, G. (2023). Fall Detection with a Nonintrusive and First-Person Vision Approach. IEEE sensors journal, 23(22), 28304-28317. https://doi.org/10.1109/JSEN.2023.3314828
Wang, X., Risi, N. , Talavera, E., Chicca, E., Karastoyanova, D., & Azzopardi, G. (2023). Fall Detection with Event-Based Data: A Case Study. In N. Tsapatsoulis, E. Kyriacou, A. Lanitis, Z. Theodosiou, M. Pattichis, C. Pattichis, C. Kyrkou, & A. Panayides (Eds.), Computer Analysis of Images and Patterns: 20th International Conference, CAIP 2023, Limassol, Cyprus, September 25–28, 2023, Proceedings, Part II (pp. 33-42). (Lecture Notes in Computer Science; Vol. 14185). Springer. https://doi.org/10.1007/978-3-031-44240-7_4
Costa, W. , Talavera, E., Oliveira, R., Figueiredo, L., Teixeira, J. M., Lima, J. P., & Teichrieb, V. (2023). A Survey on Datasets for Emotion Recognition from Vision: Limitations and In-the-Wild Applicability. Applied Sciences, 13(9), Article 5697. https://doi.org/10.3390/app13095697
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
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

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