no code implementations • 16 Jan 2024 • Huafeng Qin, Yiquan Wu, Mounim A. El-Yacoubi, Jun Wang, Guangxiang Yang
To overcome this problem, in this paper, we propose an adversarial masking contrastive learning (AMCL) approach, that generates challenging samples to train a more robust contrastive learning model for the downstream palm-vein recognition task, by alternatively optimizing the encoder in the contrastive learning model and a set of latent variables.
no code implementations • 10 Jan 2024 • Huafeng Qin, Hongyu Zhu, Xin Jin, Qun Song, Mounim A. El-Yacoubi, Xinbo Gao
To this end, we propose a mixed block consisting of three modules, transformer, attention Long short-term memory (attention LSTM), and Fourier transformer.
2 code implementations • 19 Dec 2023 • Huafeng Qin, Xin Jin, Yun Jiang, Mounim A. El-Yacoubi, Xinbo Gao
In this paper, we propose AdAutomixup, an adversarial automatic mixup augmentation approach that generates challenging samples to train a robust classifier for image classification, by alternatively optimizing the classifier and the mixup sample generator.
no code implementations • 9 Nov 2023 • Cristina Palmero, Mikel deVelasco, Mohamed Amine Hmani, Aymen Mtibaa, Leila Ben Letaifa, Pau Buch-Cardona, Raquel Justo, Terry Amorese, Eduardo González-Fraile, Begoña Fernández-Ruanova, Jofre Tenorio-Laranga, Anna Torp Johansen, Micaela Rodrigues da Silva, Liva Jenny Martinussen, Maria Stylianou Korsnes, Gennaro Cordasco, Anna Esposito, Mounim A. El-Yacoubi, Dijana Petrovska-Delacrétaz, M. Inés Torres, Sergio Escalera
The EMPATHIC project aimed to design an emotionally expressive virtual coach capable of engaging healthy seniors to improve well-being and promote independent aging.