Search Results for author:
Found 14 papers, 5 papers with code
DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation
Conversational engagement estimation is posed as a regression problem, entailing the identification of the favorable attention and involvement of the participants in the conversation.
Mental Workload Estimation with Electroencephalogram Signals by Combining Multi-Space Deep Models
The human brain remains continuously active, whether an individual is working or at rest.
A transformer-based approach to video frame-level prediction in Affective Behaviour Analysis In-the-wild
In recent years, transformer architecture has been a dominating paradigm in many applications, including affective computing.
Generic Event Boundary Detection in Video with Pyramid Features
In this study, we present an approach that considers the correlation between neighbor frames with pyramid feature maps in both spatial and temporal dimensions to construct a framework for localizing generic events in video.
Korean Drama Scene Transcript Dataset for Emotion Recognition in Conversations
The Korean Drama Scene Transcript dataset for Emotion Recognition (KD-EmoR) is a text-based conversation dataset.
Ranked #1 on
Emotion Recognition in Conversation
on KD-EmoR
Fine-tuning Wav2vec for Vocal-burst Emotion Recognition
The ACII Affective Vocal Bursts (A-VB) competition introduces a new topic in affective computing, which is understanding emotional expression using the non-verbal sound of humans.
An Ensemble Approach for Multiple Emotion Descriptors Estimation Using Multi-task Learning
This paper illustrates our submission method to the fourth Affective Behavior Analysis in-the-Wild (ABAW) Competition.
Affective Behavior Analysis using Action Unit Relation Graph and Multi-task Cross Attention
In this paper, we present our solution and experiment result for the Multi-Task Learning challenge of the Affective Behavior Analysis in-the-wild competition.
An Attention-based Method for Action Unit Detection at the 3rd ABAW Competition
We proposed a method for detecting facial action units in the video.
Emotion Recognition with Incomplete Labels Using Modified Multi-task Learning Technique
In this study, we propose a method that utilizes the association between seven basic emotions and twelve action units from the AffWild2 dataset.
Temporal Convolution Networks with Positional Encoding for Evoked Expression Estimation
This paper presents an approach for Evoked Expressions from Videos (EEV) challenge, which aims to predict evoked facial expressions from video.
Variants of BERT, Random Forests and SVM approach for Multimodal Emotion-Target Sub-challenge
Emotion recognition has become a major problem in computer vision in recent years that made a lot of effort by researchers to overcome the difficulties in this task.
Pyramid With Super Resolution for In-the-Wild Facial Expression Recognition
Facial Expression Recognition (FER) is a challenging task that improves natural human-computer interaction.
Ranked #11 on
Facial Expression Recognition (FER)
on RAF-DB
(using extra training data)
Facial Expression Recognition
Facial Expression Recognition (FER)
+1
Eye Semantic Segmentation with a Lightweight Model
In this paper, we present a multi-class eye segmentation method that can run the hardware limitations for real-time inference.
