no code implementations • 12 Jun 2023 • Unai Muñoz-Aseguinolaza, Basilio Sierra, Naiara Aginako
The popularity of data augmentation techniques in machine learning has increased in recent years, as they enable the creation of new samples from existing datasets.
no code implementations • 29 Jun 2021 • Fadi Boutros, Naser Damer, Jan Niklas Kolf, Kiran Raja, Florian Kirchbuchner, Raghavendra Ramachandra, Arjan Kuijper, Pengcheng Fang, Chao Zhang, Fei Wang, David Montero, Naiara Aginako, Basilio Sierra, Marcos Nieto, Mustafa Ekrem Erakin, Ugur Demir, Hazim Kemal, Ekenel, Asaki Kataoka, Kohei Ichikawa, Shizuma Kubo, Jie Zhang, Mingjie He, Dan Han, Shiguang Shan, Klemen Grm, Vitomir Štruc, Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka, Pedro C. Neto, Ana F. Sequeira, Joao Ribeiro Pinto, Mohsen Saffari, Jaime S. Cardoso
These teams successfully submitted 18 valid solutions.
no code implementations • 31 Mar 2021 • David Montero, Naiara Aginako, Basilio Sierra, Marcos Nieto
In this work, we address the problem of large-scale online face clustering: given a continuous stream of unknown faces, create a database grouping the incoming faces by their identity.
no code implementations • 4 Jun 2020 • Ibon Merino, Jon Azpiazu, Anthony Remazeilles, Basilio Sierra
Detection and description of keypoints from an image is a well-studied problem in Computer Vision.
no code implementations • 19 Aug 2012 • Igor G. Olaizola, Marco Quartulli, Julian Florez, Basilio Sierra
Context categorization is a fundamental pre-requisite for multi-domain multimedia content analysis applications in order to manage contextual information in an efficient manner.