Skip to main content

Research Repository

Advanced Search

Outputs (2673)

Introductory talk for exhibition opening ‘La libertad de los símbolos’ (20 January 2021) and book launch/talk El legado cinematográfico de Bigas Luna (21 January 2021), Ámbito Cultural El Corte Inglés, Valencia, Spain (part of ‘El año de Bigas Luna’). (2021)
Presentation / Conference Contribution
Fouz Hernández, S. (2021, January). Introductory talk for exhibition opening ‘La libertad de los símbolos’ (20 January 2021) and book launch/talk El legado cinematográfico de Bigas Luna (21 January 2021), Ámbito Cultural El Corte Inglés, Valencia, Spain (part of ‘El año de Bigas Luna’). Paper presented at El año de Bigas Luna, Valencia, Spain

Coarse annotation refinement for segmentation of dot-matrix batchcodes (2019)
Presentation / Conference Contribution
Jia, N., Holder, C., Bonner, S., & Obara, B. (2019). Coarse annotation refinement for segmentation of dot-matrix batchcodes. In Proceedings of the 18th IEEE International Conference on Machine Learning and Applications (2001-2007). https://doi.org/10.1109/icmla.2019.00320

Deep Convolutional Neural Networks (CNN) have been extensively applied in various computer vision tasks. Although such approaches have demonstrated exceptionally high performance in various open challenges, adapting them to more specialised tasks can... Read More about Coarse annotation refinement for segmentation of dot-matrix batchcodes.

Style Augmentation: Data Augmentation via Style Randomization (2019)
Presentation / Conference Contribution
Jackson, P., Atapour-Abarghouei, A., Bonner, S., Breckon, T., & Obara, B. (2019). Style Augmentation: Data Augmentation via Style Randomization.

We introduce style augmentation, a new form of data augmentation based on random style transfer, for improving the robustness of Convolutional Neural Networks (CNN) over both classification and regression based tasks. During training, style augmentat... Read More about Style Augmentation: Data Augmentation via Style Randomization.

´Operación mariconez: queer-escuchando a Mecano 30 años después´, conference paper (Iberian 20th and 21st Century Peninsular panel “Popular Music and Society in Spain”), MLA Annual Conference Seattle, January 2020. (2020)
Presentation / Conference Contribution
Fouz Hernández, S. (2020, January). ´Operación mariconez: queer-escuchando a Mecano 30 años después´, conference paper (Iberian 20th and 21st Century Peninsular panel “Popular Music and Society in Spain”), MLA Annual Conference Seattle, January 2020

On the use of neural text generation for the task of optical character recognition (2019)
Presentation / Conference Contribution
Mohammadi, M., Jaf, S., Breckon, T., Matthews, P., McGough, A. S., Theodoropoulos, G., & Obara, B. (2019). On the use of neural text generation for the task of optical character recognition. In 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA) (1-8). https://doi.org/10.1109/aiccsa47632.2019.9035333

Optical Character Recognition (OCR), is extraction of textual data from scanned text documents to facilitate their indexing, searching, editing and to reduce storage space. Although OCR systems have improved significantly in recent years, they still... Read More about On the use of neural text generation for the task of optical character recognition.

'1980s Spanish Cinema, la movida and el destape' (2019)
Presentation / Conference Contribution
Fouz Hernández, S. (2019, October). '1980s Spanish Cinema, la movida and el destape'. Paper presented at Group of Fifty (G 50) Annual Meeting, Palace Hotel and Sala Equis, Madrid

Analysing social media as a hybrid tool to detect and interpret likely radical behavioural traits for national security (2019)
Presentation / Conference Contribution
Cardenas-Canto, P., Theodoropoulos, G., Obara, B., & Kureshi, I. (2019). Analysing social media as a hybrid tool to detect and interpret likely radical behavioural traits for national security. In Proceedings of the IEEE International Conference on Big Data (Human-in-the-loop Methods and Human Machine Collaboration in BigData) (4579-4588). https://doi.org/10.1109/bigdata47090.2019.9006259

The study of National Security and its associated considerations is a sensitive and complex paradigm. It encapsulates both the protection of the territorial integrity and sovereignty of a state, as well as guaranteeing the security of its population.... Read More about Analysing social media as a hybrid tool to detect and interpret likely radical behavioural traits for national security.

Penélope Cruz and Bigas Luna: from Los Monegros to Hollywood, conference paper and panel coordination (with Prof Jorge Pérez, University of Texas at Austin) at Cine-Lit IX Conference in Portland, OR, 9 to 11 March 2019. (2019)
Presentation / Conference Contribution
Fouz Hernández, S. (2019, March). Penélope Cruz and Bigas Luna: from Los Monegros to Hollywood, conference paper and panel coordination (with Prof Jorge Pérez, University of Texas at Austin) at Cine-Lit IX Conference in Portland, OR, 9 to 11 March 2019

TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text (2018)
Presentation / Conference Contribution
Medhat, F., Mohammadi, M., Jaf, S., Willcocks, C., Breckon, T., Matthews, P., …Obara, B. (2018). TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text.

—Text recognition of scanned documents is usually dependent upon the type of text, being handwritten or machine-printed. Accordingly, the recognition involves prior classification of the text category, before deciding on the recognition method to be... Read More about TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text.

Visual siamese clustering for cosmetic product recommendation (2018)
Presentation / Conference Contribution
Holder, C., & Obara, B. (2018). Visual siamese clustering for cosmetic product recommendation.

We investigate the problem of a visual similarity-based recommender system, where cosmetic products are recommended based on the preferences of people who share similarity of visual features. In this work we train a Siamese convolutional neural netwo... Read More about Visual siamese clustering for cosmetic product recommendation.

Combining mathematical morphology and the Hilbert transform for fully automatic nuclei detection in fluorescence microscopy (2019)
Presentation / Conference Contribution
Nelson, C. J., Jackson, P. T., & Obara, B. (2019). Combining mathematical morphology and the Hilbert transform for fully automatic nuclei detection in fluorescence microscopy. In Mathematical Morphology and Its Applications to Signal and Image Processing: 14th International Symposium, ISMM 2019, Saarbrücken, Germany, July 8-10, 2019, Proceedings