5 citations · 11 across the 7 of their papers we have counts for
11 papers · 1 filter
Detecting Blurred Ground-based Sky/Cloud Images
Mayank Jain, Navya Jain, Yee Hui Lee +2
Ground-based whole sky imagers (WSIs) are being used by researchers in various fields to study the atmospheric events. These ground-based sky cameras capture visible-light images o…
Efficient Facial Expression Analysis For Dimensional Affect Recognition Using Geometric Features
Vassilios Vonikakis, Stefan Winkler
Despite their continued popularity, categorical approaches to affect recognition have limitations, especially in real-life situations. Dimensional models of affect offer important…
Morphset:Augmenting categorical emotion datasets with dimensional affect labels using face morphing
Vassilios Vonikakis, Dexter Neo, Stefan Winkler
Emotion recognition and understanding is a vital component in human-machine interaction. Dimensional models of affect such as those using valence and arousal have advantages over t…
Multi-label Cloud Segmentation Using a Deep Network
Soumyabrata Dev, Shilpa Manandhar, Yee Hui Lee +1
Different empirical models have been developed for cloud detection. There is a growing interest in using the ground-based sky/cloud images for this purpose. Several methods exist t…
PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship
Le Zhang, Songyou Peng, Stefan Winkler
Apparent personality and emotion analysis are both central to affective computing. Existing works solve them individually. In this paper we investigate if such high-level affect tr…
A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues
Songyou Peng, Le Zhang, Yutong Ban +2
In this paper, we comprehensively describe the methodology of our submissions to the One-Minute Gradual-Emotion Behavior Challenge 2018.