3 papers
cs.CV2022
Fully-attentive and interpretable: vision and video vision transformers for pain detection
Giacomo Fiorentini, Itir Onal Ertugrul, Albert Ali Salah
Pain is a serious and costly issue globally, but to be treated, it must first be detected. Vision transformers are a top-performing architecture in computer vision, with little res…
cs.CV2020
Synthetic Expressions are Better Than Real for Learning to Detect Facial Actions
Koichiro Niinuma, Itir Onal Ertugrul, Jeffrey F Cohn +1
Critical obstacles in training classifiers to detect facial actions are the limited sizes of annotated video databases and the relatively low frequencies of occurrence of many acti…
cs.CV2018
Modeling Brain Networks with Artificial Neural Networks
Baran Baris Kivilcim, Itir Onal Ertugrul, Fatos T. Yarman Vural
In this study, we propose a neural network approach to capture the functional connectivities among anatomic brain regions. The suggested approach estimates a set of brain networks,…