FBE 2024
2nd workshop on Facial and Body Expressions
In conjunction with ICPR 2024
1st December 2024
In conjunction with ICPR 2024
1st December 2024
Understanding strong, unbiased behaviors is also a key aspect in several fields. For example, more accurate interest profiles could be built from facial micro-expressions, leading to better product or content suggestions. In security critical applications, observing posture, gait and small body movements could reveal malicious intentions. Moreover, body movements and behaviors could also be used to profile or re-identificate subjects without harming their privacy.
In general, low-level expressions and behaviors are more difficult to recognize than high-level ones, due to the fine-grained nature of the problem. It is also a fact that with the recent technological advancement, the means of data acquisition and processing have also dramatically improved, enabling new applications and analyses. To reliably understand facial micro-expressions, for example, there are both spatial and temporal issues to take into account. On the one hand, it is necessary to either acquire and process high-resolution images or rely on different kinds of data such as high-quality depth maps. On the other hand, micro-expressions occur over an extremely short timespan (<500ms) and might not even be detectable with conventional low-framerate cameras. If some years ago it was not possible to acquire this kind of data and process them, now it certainly is.
In this workshop we are interested in submissions focused but not limited on low-level characteristics, either facial or related to the human body, aiming at understanding high-level concepts. We are also interested in applications leveraging this information, for user profiling or behavior understanding. The workshop also favors positive criticism of current works and encourages new perspectives on the matter.
Face expressions
Emotion recognition
Behavior analysis
Action recognition
Gait recognition
3D recognition
Micro-expression recognition
Body analysis
Biometrics
User profiling and suggestion
Deep learning tailored for face and behavior recognition
Representation learning
Unsupervised and semi-supervised learning
Multi-resolution, multi-sensor, multi-modal analysis
Public benchmark datasets and evaluation protocols