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A Multi-Modal Hierarchical Recurrent Neural Network for Depression Detection
One student from our group was awarded Doctoral Dissertation Award
Adversarial Stacking Ensemble for Facial Landmark Tracking
Multi-task face analyses through adversarial learning
Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking
A Novel Dynamic Model Capturing Spatial and Temporal Patterns for Facial Expression Analysis
Exploiting Self-Supervised and Semi-Supervised Learning for Facial Landmark Tracking with Unlabeled Data
Capturing Spatial and Temporal Patterns for Facial Landmark Tracking through Adversarial Learning
Integrating Facial Images, Speeches and Time for Empathy Prediction
KDSL: a Knowledge-Driven Supervised Learning Framework for Word Sense Disambiguation
Multiple Face Analyses through Adversarial Learning
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