In a shocking turn of events, a giant python suddenly attacks its handler, not out of aggression, but due to sheer nervousness. As the handler tries to maintain control of the powerful reptile ...

Micro-Expression Recognition (MER) is a challenging task as the subtle changes occur over different action regions of a face. Changes in facial action regions are formed as Action Units (AUs), and AUs ...

Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video ...

Encoding facial expressions via action units (AUs) has been found to be effective in resolving the ambiguity issue among different expressions. Therefore, AU detection plays an important role for ...

This is the official implementation of KORSAL: Key-Point Detection based Online Real-Time Spatio-Temporal Action Detection. We use CenterNet to locate actions spatially - the first use of key-points ...

Facial action unit (AU) detection is an important task in affective computing and has attracted extensive attention in the field of computer vision and artificial intelligence. Previous studies for AU ...

Training temporal action detection in videos requires large amounts of labeled data, yet such annotation is expensive to collect. Incorporating unlabeled or weakly-labeled data to train action ...

Then we review some databases with a single emotion category (either posed or spontaneous) but can provide rich data for detection of SVP facial expressions from different resources. Table 1 provides ...