Deep adaptive attention for joint facial action unit detection and face alignment
Facial action unit (AU) detection and face alignment are two highly correlated tasks since
facial landmarks can provide precise AU locations to facilitate the extraction of meaningful …
facial landmarks can provide precise AU locations to facilitate the extraction of meaningful …
Jaa-net: joint facial action unit detection and face alignment via adaptive attention
Facial action unit (AU) detection and face alignment are two highly correlated tasks, since
facial landmarks can provide precise AU locations to facilitate the extraction of meaningful …
facial landmarks can provide precise AU locations to facilitate the extraction of meaningful …
Facial action unit detection using attention and relation learning
Attention mechanism has recently attracted increasing attentions in the field of facial action
unit (AU) detection. By finding the region of interest of each AU with the attention …
unit (AU) detection. By finding the region of interest of each AU with the attention …
Eac-net: Deep nets with enhancing and cropping for facial action unit detection
In this paper, we propose a deep learning based approach for facial action unit (AU)
detection by enhancing and cropping regions of interest of face images. The approach is …
detection by enhancing and cropping regions of interest of face images. The approach is …
Local relationship learning with person-specific shape regularization for facial action unit detection
Encoding individual facial expressions via action units (AUs) coded by the Facial Action
Coding System (FACS) has been found to be an effective approach in resolving the …
Coding System (FACS) has been found to be an effective approach in resolving the …
Exploiting semantic embedding and visual feature for facial action unit detection
Recent study on detecting facial action units (AU) has utilized auxiliary information (ie, facial
landmarks, relationship among AUs and expressions, web facial images, etc.), in order to …
landmarks, relationship among AUs and expressions, web facial images, etc.), in order to …
Relation modeling with graph convolutional networks for facial action unit detection
Most existing AU detection works considering AU relationships are relying on probabilistic
graphical models with manually extracted features. This paper proposes an end-to-end …
graphical models with manually extracted features. This paper proposes an end-to-end …
Deep region and multi-label learning for facial action unit detection
Region learning (RL) and multi-label learning (ML) have recently attracted increasing
attentions in the field of facial Action Unit (AU) detection. Knowing that AUs are active on …
attentions in the field of facial Action Unit (AU) detection. Knowing that AUs are active on …
Action unit detection with region adaptation, multi-labeling learning and optimal temporal fusing
Action Unit (AU) detection becomes essential for facial analysis. Many proposed
approaches face challenging problems in dealing with the alignments of different face …
approaches face challenging problems in dealing with the alignments of different face …
Uncertain graph neural networks for facial action unit detection
Capturing the dependencies among different facial action units (AU) is extremely important
for the AU detection task. Many studies have employed graph-based deep learning methods …
for the AU detection task. Many studies have employed graph-based deep learning methods …