About Me

I am a PhD student at Jeonbuk National University, advised by Prof. Sang Jun Lee. 

My research interests are efficient model architectures and deep learning model compression for edge computing in real-world industrial environments. 

Currently, I am working on lightweight multi-task learning models for camera-based autonomous mobility systems and their real-time deployment on edge devices. 

Phase-shifted remote photoplethysmography for estimating heart rate and blood pressure from facial video

Gyutae Hwang, Sang Jun Lee

arXiv, 2025

[Paper] • [Code]

MECO: Mixture-of-Expert Codebooks for Multiple Dense Prediction Tasks

Gyutae Hwang, Sang Jun Lee

Sensors, 2025 (IF: 3.5)

[Paper]

SFA-Net: Semantic Feature Adjustment Network for Remote Sensing Image Segmentation

Gyutae Hwang*, Jiwoo Jeong*, Sang Jun Lee (*:  equal contribution) 

Remote Sensing, 2024 (IF: 4.2)

[Paper] • [Code]

DiCo-NeRF: Difference of Cosine Similarity for Neural Rendering of Fisheye Driving Scenes

Jiho Choi*, Gyutae Hwang*, Sang Jun Lee (*:  equal contribution) 

IEEE Conference on Computer Vision and Pattern Recognition Workshop on NRI (CVPRW), 2024

[Paper] • [Code]

Weighted Knowledge Distillation of Attention-LRCN for Recognizing Affective States from PPG Signals

Jiho Choi, Gyutae Hwang, Jun Seong Lee, Moonwook Ryu and Sang Jun Lee

Expert Systems With Applications, 2023 (IF: 8.5, JCR 6.4%)

[Paper] • [Code]

LSTC-rPPG: Long Short-Term Convolutional Network for Remote Photoplethysmography

Jun Seong Lee, Gyutae Hwang, Moonwook Ryu, Sang Jun Lee 

IEEE Conference on Computer Vision and Pattern Recognition Workshop on CVPM (CVPRW), 2023

[Paper]

Attention-LRCN: Long-term Recurrent Convolutional Network for Stress Detection from Photoplethysmography

Jiho Choi, Jun Seong Lee, Moonwook Ryu, Gyutae Hwang, Gyeongyeon Hwang, Sang Jun Lee

IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2022

[Paper]