Our work Adversarial Stacking Ensemble for Facial Landmark Tracking received the ICPR2022 Track 4 Best Scientific Paper
Our work Knowledge-Driven Self-Supervised Representation Learning for Facial Action Unit Recognition (ID 6728) by Chang is accepted by CVPR2022!
“Dual Learning for Joint Facial Landmark Detection and Action Unit Recognition” by Ya’nan Chang, has been accepted for publication in a future issue of IEEE Transactions on Affective Computing journal. You can find it in Publications column and Link