Search Results for author:
Found 12 papers, 5 papers with code
TCCT-Net: Two-Stream Network Architecture for Fast and Efficient Engagement Estimation via Behavioral Feature Signals
Engagement analysis finds various applications in healthcare, education, advertisement, services.
Measuring Non-Typical Emotions for Mental Health: A Survey of Computational Approaches
This survey is the first to simultaneously explore computational methods for analyzing stress, depression, and engagement.
Synthesizing Sentiment-Controlled Feedback For Multimodal Text and Image Data
It implements an interpretability technique to analyze the contribution of textual and visual features during the generation of uncontrolled and controlled feedback.
Interpretable Multimodal Emotion Recognition using Facial Features and Physiological Signals
This paper aims to demonstrate the importance and feasibility of fusing multimodal information for emotion recognition.
Interpretable Multimodal Emotion Recognition using Hybrid Fusion of Speech and Image Data
A new interpretability technique has been developed to identify the important speech & image features leading to the prediction of particular emotion classes.
Hybrid Fusion Based Interpretable Multimodal Emotion Recognition with Limited Labelled Data
This paper proposes a multimodal emotion recognition system, VIsual Spoken Textual Additive Net (VISTA Net), to classify emotions reflected by multimodal input containing image, speech, and text into discrete classes.
Affective Feedback Synthesis Towards Multimodal Text and Image Data
A feedback synthesis system has been proposed and trained using ground-truth human comments along with image-text input.
Region extraction based approach for cigarette usage classification using deep learning
This paper has proposed a novel approach to classify the subjects' smoking behavior by extracting relevant regions from a given image using deep learning.
Domain Adaptation based Interpretable Image Emotion Recognition using Facial Expression Recognition
It addresses the challenge of the insufficient availability of pre-trained models and well-annotated datasets for image emotion recognition (IER).
Evolution of Artificial Intelligent Plane
To the best of our knowledge this is the first survey report which represents a complete comparison of AI planes with their investigation issues in several types of networks.
Discriminative Parameter Estimation for Random Walks Segmentation
However, one of the main drawbacks of using the RW algorithm is that its parameters have to be hand-tuned.
Discriminative Parameter Estimation for Random Walks Segmentation: Technical Report
However, one of the main drawbacks of using the RW algorithm is that its parameters have to be hand-tuned.
