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Facial Emotion Recognition with Noisy Multi-task Annotations
(2021)2021 IEEE Winter Conference on Applications of Computer Vision (WACV)Human emotions can be inferred from facial expressions. However, the annotations of facial expressions are often highly noisy in common emotion coding models, including categorical and dimensional ones. To reduce human labelling effort on multi-task labels, we introduce a new problem of facial emotion recognition with noisy multi-task annotations. For this new problem, we suggest a formulation from the point of joint distribution match ...Conference Paper -
GANmut: Learning Interpretable Conditional Space for Gamut of Emotions
(2021)2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Humans can communicate emotions through a plethora of facial expressions, each with its own intensity, nuances and ambiguities. The generation of such variety by means of conditional GANs is limited to the expressions encoded in the used label system. These limitations are caused either due to burdensome labelling demand or the confounded label space. On the other hand, learning from inexpensive and intuitive basic categorical emotion ...Conference Paper -
Weakly Paired Multi-Domain Image Translation
(2020)31st British Machine Vision Conference 2020, BMVC 2020Conference Paper -
Efficient Conditional GAN Transfer with Knowledge Propagation across Classes
(2021)2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Conference Paper