Research

Human-aware AI / Biometrics
Computer Vision / Image & Video Processing / Time-series Data Analysis
Wearable Sensor and Image Data Analysis
Multimodal Data Analysis (LLM, VLM, LMM, etc.)
Knowledge Distillation / Lightweight Model Development
Semantic Segmentation / Object Detection
Deep Learning Algorithm & Processing
Geometric Approach for ML
Explainable AI (XAI) / Reliable AI
Generative AI

Wearable Sensor Data Analysis

For healthcare (disease diagnosis/prediction, injury prevention), we analyze wearable sensors (IMUs) as well as Insole pressure data, and develop efficient and robust deep learning models.

Cognitive Neural Framework

Learning Debiased and Interpretable Representations via Explanable AI (XAI).

Semantic Segmentation

Semantic Segmentation for autonomous driving and overcoming limited field-of-view issues with a lightweight model.

Improving accuracy as well as efficiency of a model.

Multimodal Data Analysis with AI

By leveraging topological feature and multimodalities, an improved and efficient model is developed.

Generative AI

Improving performance of models by leveraging gen AI. (T2I, T23D, etc.)

Improving fidelity with better/controllable gen AI.

Reliable AI

Improving performance of reliability for AI models.

Improving model reliability as well as accuracy.

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