March 20, 2017
Members of the MultiComp Lab had 4 papers accepted at Face and Gesture 2017 (FG’17, http://www.fg2017.org/).
“Investigating Facial Behavior Indicators of Suicidal Ideation” (Laksana et. al.) explores how smiling, frowning, eyebrow raising, and head motion behaviors correlate with suiciadal tendencies.
“Local-Global Landmark Confidences for Face Recognition” (Kim et. al.) fuse local confidence based on local predictors of each facial landmark, and global confidence based on a 3D rendered face model to improve the quality of Face Recognition.
“Constrained Ensemble Initialization for Facial Landmark Tracking in Video” (Li et. al.) describe a novel initialization procedure that can help with cascaded regression based facial landmark detection and tracking in videos
“Curriculum Learning for Facial Expression Recognition” (Gui et. al.) present a novel learning technique for deep learning methods that leads to better generalization for emotion recognition from facial expressions.