45 citations · 77 across the 7 of their papers we have counts for
7 papers
Inter-Stance: A Dyadic Multimodal Corpus for Conversational Stance Analysis
Xiang Zhang, Xiaotian Li, Taoyue Wang +9
Social interactions dominate our perceptions of the world and shape our daily behavior by attaching social meaning to acts as simple and spontaneous as gestures, facial expressions…
Neural Mixed Effects for Nonlinear Personalized Predictions
Torsten Wörtwein, Nicholas Allen, Lisa B. Sheeber +3
Personalized prediction is a machine learning approach that predicts a person's future observations based on their past labeled observations and is typically used for sequential ta…
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…
FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge
Michel F. Valstar, Enrique Sánchez-Lozano, Jeffrey F. Cohn +5
The field of Automatic Facial Expression Analysis has grown rapidly in recent years. However, despite progress in new approaches as well as benchmarking efforts, most evaluations s…
Modeling Spatial and Temporal Cues for Multi-label Facial Action Unit Detection
Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn
Facial action units (AUs) are essential to decode human facial expressions. Researchers have focused on training AU detectors with a variety of features and classifiers. However, s…
Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-related Applications
Ciprian Corneanu, Marc Oliu, Jeffrey F. Cohn +1
Facial expressions are an important way through which humans interact socially. Building a system capable of automatically recognizing facial expressions from images and video has…
Emotional Expression Classification using Time-Series Kernels
Andras Lorincz, Laszlo Jeni, Zoltan Szabo +2
Estimation of facial expressions, as spatio-temporal processes, can take advantage of kernel methods if one considers facial landmark positions and their motion in 3D space. We app…