Multi-label Transformer for Action Unit Detection. - Gauthier Tallec; Edouard Yvinec; Arnaud Dapogny; Kevin Bailly (CoRR, 2022)

Multi-Task Transformer with uncertainty modelling for Face Based Affective Computing. - Gauthier Tallec; Jules Bonnard; Arnaud Dapogny; Kévin Bailly (CoRR, 2022)

RULe: Relocalization-Uniformization-Landmark Estimation Network for Real-Time Face Alignment in Degraded Conditions. - Arnaud Dapogny; Gauthier Tallec; Jules Bonnard; Edouard Yvinec; Kévin Bailly (FG, 2023)

Adversarial Deep Multi-Task Learning Using Semantically Orthogonal Spaces and Application to Facial Attributes Prediction. - Arnaud Dapogny; Gauthier Tallec; Jules Bonnard; Edouard Yvinec; Kévin Bailly (FG, 2023)

Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy Labels. - Gauthier Tallec; Edouard Yvinec; Arnaud Dapogny; Kevin Bailly (ICIP, 2023)

Fighting noise and imbalance in Action Unit detection problems. - Gauthier Tallec; Arnaud Dapogny; Kevin Bailly (CoRR, 2023)

Multi-Order Networks for Action Unit Detection. - Gauthier Tallec; Arnaud Dapogny; Kévin Bailly (IEEE Trans. Affect. Comput., 2023)

Deep learning methods for Action Unit detection. (Méthodes d'apprentissage profond pour la détection d'Action Unit). - Gauthier Tallec (2023)