Search Results for author:
Found 8 papers, 5 papers with code
RMES: Real-Time Micro-Expression Spotting Using Phase From Riesz Pyramid
In comparison to optical flow, phase provides more localized motion estimates, which are essential for ME spotting, resulting in higher performance.
Multiple Emotion Descriptors Estimation at the ABAW3 Challenge
To describe complex emotional states, psychologists have proposed multiple emotion descriptors: sparse descriptors like facial action units; continuous descriptors like valence and arousal; and discrete class descriptors like happiness and anger.
Iterative Distillation for Better Uncertainty Estimates in Multitask Emotion Recognition
Iterative distillation over multiple generations significantly improves performance in both emotion recognition and uncertainty estimation.
Individual risk profiling for portable devices using a neural network to process the cognitive reactions and the emotional responses to a multivariate situational risk assessment
In this paper, we are presenting a novel method and system for neuropsychological performance testing that can establish a link between cognition and emotion.
Functional neural network for decision processing, a racing network of programmable neurons with fuzzy logic where the target operating model relies on the network itself
In this paper, we are introducing a novel model of artificial intelligence, the functional neural network for modeling of human decision-making processes.
Multitask Emotion Recognition with Incomplete Labels
We use the soft labels and the ground truth to train the student model.
MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion Recognition
Spatial-temporal feature learning is of vital importance for video emotion recognition.
Multimodal Utterance-level Affect Analysis using Visual, Audio and Text Features
The integration of information across multiple modalities and across time is a promising way to enhance the emotion recognition performance of affective systems.
