Causal
Perception and ReasoningPublications
Our research contributions to causal AI, computer vision, and affective computing.
Journal Papers
Multilevel Spatial-Temporal Feature Analysis for Generic Event Boundary Detection in Videos
AI-Driven Early Warning Systems in Emergency Care: Implementing a Multi-Gradient Network for Real-Time Clinical Deterioration Prediction
Big team science reveals promises and limitations of machine learning efforts to model the physiological basis of affective experience
Switch Fusion for Continuous Emotion Estimation from Multiple Physiological Signals
Prediction of Evoked Expression from Videos with Temporal Position Fusion
Empirical study for worker engagement in collaborative robot programming
End-to-End Learning for Multimodal Emotion Recognition in Video with Adaptive Loss
Semantic Segmentation of the Eye with a Lightweight Deep Network and Shape Correction
Conference Papers
MediFusion-Flex: An Adaptive Multimodal Deep Learning Framework for Clinical Deterioration Prediction in Emergency Medicine
Multiscale Transformer-Based for Multimodal Affective States Estimation from Physiological Signals
Adapt Distinct Semantics for Uncertain Areas in Polyp Segmentation
DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation
Ensemble Spatial and Temporal Vision Transformer for Action Units Detection
Facial Expression Classification using Fusion of Deep Neural Network in Video
An Ensemble Approach for Facial Expression Analysis and Action Unit Detection in-the-wild Video
The 2nd Korean Emotion Recognition Challenge: Methods and Results
Multimodality Pain and related Behaviors Recognition based on Attention Learning
Estimate Engagement Intensity with Eye Movements
Eye Semantic Segmentation with A Lightweight Model
Engagement Intensity Prediction with Facial Behavior Features
Patents
Apparatus and Method for Identifying Emotion by Gaze Movement Analysis
Registration 10-2204743 · Technology transfer: MayfarmSoft, Sep 2020