3 citations · 7 across the 4 of their papers we have counts for
4 papers
Explainable Human-centered Traits from Head Motion and Facial Expression Dynamics
Surbhi Madan, Monika Gahalawat, Tanaya Guha +2
We explore the efficacy of multimodal behavioral cues for explainable prediction of personality and interview-specific traits. We utilize elementary head-motion units named kinemes…
To Improve Is to Change: Towards Improving Mood Prediction by Learning Changes in Emotion
Soujanya Narayana, Ramanathan Subramanian, Ibrahim Radwan +1
Although the terms mood and emotion are closely related and often used interchangeably, they are distinguished based on their duration, intensity and attribution. To date, hardly a…
Analyzing the Affect of a Group of People Using Multi-modal Framework
Xiaohua Huang, Abhinav Dhall, Xin Liu +4
Millions of images on the web enable us to explore images from social events such as a family party, thus it is of interest to understand and model the affect exhibited by a group…
Occlusion-Aware Human Pose Estimation with Mixtures of Sub-Trees
Ibrahim Radwan, Abhinav Dhall, Roland Goecke
In this paper, we study the problem of learning a model for human pose estimation as mixtures of compositional sub-trees in two layers of prediction. This involves estimating the p…