Publications

2024

• A. van Engelenhoven, N. Strisciuglio and E. Talavera, “CAST: Clustering Self-Attention using Surrogate Tokens for Efficient Transformers”, Pattern Recognition Letters, 2024 Paper
• Kooi, Kevin, E. Talavera, L. Freundt, K. Oflazoglu, et. al. “From data to decisions: how AI is revolutionizing clinical prediction models in plastic surgery.” Plastic and Reconstructive Surgery, 2024. Paper
• A. M. Joseph, F. U. M. Ullah and E. Talavera, “Body-part Tubelet Transformer for Human-Related Crime Classification”, IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2024. Paper
• F. U. M. Ullah, Z. A. Khan, S. W. Baik, E. Talavera, S. Anwar and K. Muhammad, “Dual Deep Learning Network for Abnormal Action Detection”, IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2024. Paper
• ML Lima, W De Lima Costa, E Talavera, V Teichrieb, “ST-Gait++: Leveraging spatio-temporal convolutions for gait-based emotion recognition on videos”. Proceedings of the IEEE/CVF International Conference on Computer Vision, Workshop LatinX in AI, 2024. Paper

2023

• M. Menchon, E. Talavera, J. M Massa, P. Radeva, “Behavioural patterns discovery for lifestyle analysis from egocentric photo-streams”, Pervasive and Mobile Computing, 2023. Paper
• X. Wang, N. Risi, E. Talavera, E. Chicca, and G. Azzopardi. “Fall detection with event-based data: A case study.” In 20th International Conference on Computer Analysis of Images and Patterns: CAIP2023. Springer, 2023. Paper
• X. Wang, E. Talavera, D. Karastoyanova, and G. Azzopardi. “Fall detection with a non-intrusive and first-person vision approach.” IEEE Sensors Journal, 2023. Paper
• J. Omara, E. Talavera, D. Otim, D. Turcza, E. Ofumbi, G. Owomugisha, “A field-based recommender system for crop disease detection using machine learning”, Frontiers in Artificial Intelligence, vol. 6, 2023. Paper
• W. de Lima Costa, E. Talavera, L.S. Figueiredo, V. Teichrieb, “High-level context representation for emotion recognition in images”, Proceedings of the IEEE/CVF International Conference on Computer Vision, Workshop LatinX in AI, 2023. Paper
• W. de Lima Costa, E. Talavera, R. Oliveira, L. S. Figueiredo, J. Teixeira, J. Lima, V. Teichrieb, “A survey on datasets for emotion recognition from vision: limitations and in-the-wild applicability”, Applied Sciences, 2023. Paper

2022

• J. Barkai, M. Verheijen, E. Talavera, M. Wilkinson, “A comparative study of source finding techniques in HI emission line cubes using SoFiA, MTObjects and supervised deep learning”, Astronomy & Astrophysics, 2022 Paper, GitHub, Video
• K. Boekhoudt, E.Talavera, “Spatial-Temporal Transformer for Crime Recognition in Surveillance Videos”, 18th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2022. Paper, Video
• A. Glavan, E. Talavera, “InstaIndoor and multi-modal deep learning for indoor scene recognition”, Neural Computing and Applications, IF 5.6, Q1, 2022. Paper, GitHub, Media, Video

2021

• D. Morales, E. Talavera, B. Remeseiro, “Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques”, Neural Computing and Applications, IF 5.606, Q1, 2021. Paper, Media
• A. Glavan, A. Matei, P. Radeva, E. Talavera, “Does our social life influence our nutritional behaviour? Understanding nutritional habits from egocentric photo-streams”, Expert Systems with Applications, IF 5.452, Q1, 2021. Paper, Video
• A. Matei, A. Glavan, P. Radeva, E. Talavera, “Towards Eating Habits Discovery in Egocentric Photo-streams”, IEEE Access, IF 3.745, Q1, 2021. Paper
• E. Talavera, N. Petkov, P. Radeva, “Egocentric vision for behavioural understanding”, Book Chapter Wearable Sensors: Fundamentals, Implementation and Applications, 2021.
• K. Boekhoudt, A. Matei, M. Aghaei, E. Talavera, “HR-Crime: Human-Related Anomaly Detection in Surveillance Videos”, 19th Conference on Computer Analysis of Images and Patterns (CAIP), 2021. Dataset, Video

2020

• E. Talavera, C. Wuerich, N. Petkov, P. Radeva, “Topic modelling for routine discovery from egocentric photo-streams”. Pattern Recognition, IF 7.196, Q1, 2020. Paper
• X. Wang, E. Talavera, D. Karastoyanova, G. Azzopardi, “Fall detection and recognition from egocentric visual data: A case study”, International Workshop on Artificial Intelligence for Healthcare Applications, International Conference on Pattern Recognition (ICPR), 2020. Dataset
• A. Cartas, E. Talavera, P. Radeva, M. Dimiccoli, “Robust Activity Classification From Collections of Visual Data for Behavior Understanding”, 2nd Workshop on Applications of Egocentric Vision (EgoApp), International Conference on Pattern Recognition (ICPR), 2020.
• A. Matei, A. Glavan, E. Talavera, “Deep learning for scene recognition from visual data: a survey”, 15th International Conference on Hybrid Artificial Intelligence Systems (HAIS), 2020. Video
• M. Menchon, E. Talavera, J. M Massa, P. Radeva, “Behavioural pattern discovery from collections of egocentric photo-streams”, 8th International Workshop on Assistive Computer Vision and Robotics, European Conference on Computer Vision (ECCV), 2020. Video

2019

• E. Talavera, M. Leyva-Vallina, Md M. Sarker, D. Puig, N. Petkov, P. Radeva, “Hierarchical approach to classify food scenes in egocentric photostreams” , Journal Biomedical and Health Informatics (JBHI), IF 4.217, Q1, 2019. Paper
• Md. M. Kamal Sarker, H. A. Rashwan, F. Akram, E. Talavera, S. F. Banu, P. Radeva, D. Puig, “Recognizing Food Places in Egocentric Photostreams using Multi-scale Atrous Convolutional Networks and Self-Attention Mechanism”, IEEE Access, IF 4.098, Q1, 2019.
• E. Talavera, N. Petkov, P. Radeva, “Unsupervised routine discovery in egocentric photo-streams”, 18th Conference on Computer Analysis of Images and Patterns (CAIP), published in proceedings as Chapter Springer Verlag, 2019. Paper

2018

• M. Kamal, H. Rashwan, E. Talavera, S. Furruka, P. Radeva, D. Puig, “MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams”, 3rd Workshop on Egocentric Perception, Interaction and Computing (EPIC), published in the proceedings, 2018.
• E. Talavera, A. Cola, N. Petkov, P. Radeva, “Towards Egocentric Person Re-identification and Social Pattern Analysis”, 1st Applications of Intelligent Systems (APPIS), pp. 203-211, published in the proceedings in the series Frontiers in AI and Applications (IOS Press), 2018.

2017

• G. Oliveira-Barra, M. Bolaños, E. Talavera, O. Gelonch, M. Garolera, P. Radeva, “Lifelog Retrieval for Memory Stimulation of People with Memory Impairments”, Book Chapter Multi-modal behavior analysis in the wild, Elsevier, 2017.
• E. Talavera, P. Radeva, N. Petkov, “Towards Egocentric Sentiment Analysis”, 6th International Conference on Computer Aided Systems Theory (EUROCAST), pp 297-305, published in proceedings as Chapter Springer Verlag, 2017.
• G. Oliveira-Barra, M. Bolaños, E. Talavera, A. Dueñas, O. Gelonch, M. Garolera, P. Radeva, “Serious Games Application for Memory Training Using Egocentric Images”, International Conference on Image Analysis and Processing (ICIAP), published in proceedings as Chapter Springer Verlag, 2017.
• E. Talavera, N. Strisciuglio, N. Petkov, P. Radeva, “Sentiment Recognition in Egocentric Photostreams,” 8th Iberian Conference on Pattern Recognition and Image Analysis (IBPRIA), pp. 471-479, published in proceedings as Chapter Springer Verlag, 2017.

2016

• M. Dimiccoli, M. Bolañnos, E. Talavera, M. Aghaei, G. Stavri, P. Radeva, “SR-Clustering: Semantic Regularized Clustering for Egocentric Photo Streams Segmentation”, International Journal Computer Vision and Image Understanding (CVIU), IF 2.645, Q1, 2016.

2015

• E. Talavera, P. Radeva, N. Petkov, “Towards Unsupervised Familiar Scene Recognition in Egocentric Videos,” In 8th GI Conference on Autonomous Systems, pp. 80-91, published in proceedings as Chapter VDI Verlag, 2015.
• M. Bolaños, R. Mestre, E. Talavera, X. Giro-i-Nieto, P. Radeva, “Visual Summary of Egocentric Photostreams by Representative Keyframes”, In International Workshop on Wearable and Ego-vision Systems for Augmented Experience (WEsAX), pp. 1-6, published in the proceedings, 2015.
• E. Talavera, M. Dimiccoli, M. Bolaños, M. Aghaei, P. Radeva, “R-Clustering for Egocentric Video Segmentation,” 7th Iberian Conference on Pattern Recognition and Image Analysis (IBPRIA), pp. 327-336, Chapter Springer Verlag, 2015.

You can find video presentations of our work at the following YouTube channel.