About Me

I am currently a PhD student at Jeonbuk National University, advised by Prof. Sang Jun Lee. My research focuses on developing vision systems that address real-world challenges in remote physiological signal estimation, medical image analysis, and 3D reconstruction, with an emphasis on robust deep learning models for unconstrained environments.

Recently, I've been advancing camera-based remote photoplethysmography (rPPG) for reliable operation in unconstrained, in-the-wild conditions.

My long-term goal is to discover and precisely define practical problems, and to develop domain-appropriate AI models that translate into deployable, real-world solutions. 

Periodic-MAE: Periodic Video Masked Autoencoder for rPPG Estimation

arXiv, 2025

Jiho Choi, Sang Jun Lee

[Preprint] • [Code]

MMDrive: Multi-modal Remote Physiological Signal Measurement Dataset for Driver Status Monitoring

IEEE Conference on Computer Vision and Pattern Recognition Workshop on ABAW (CVPRW), 2025

Jiho Choi, Sang Jun Lee

[Paper] • [Code]

PFSH-Net: Parallel frequency-spatial hybrid network for segmentation of kidney stones in pre-contrast computed tomography images of dogs

Computers in Biology and Medicine, 2025 (IF: 7.0, JCR 2.3%) 

Jiho Choi*, Gyeongyeon Hwang*, Yewon Ji, Hakyoung Yoon and Sang Jun Lee (*:  equal contribution) 

[Paper] • [Code]

Neural Radiance Fields for Fisheye Driving Scenes Using Edge-Aware Integrated Depth Supervision

Sensors, 2024 (IF: 3.4)

Jiho Choi, Sang Jun Lee

[Paper] • [Code]

DINO-rPPG: Remote Photoplethysmography Measurement using Facial Representation from DINO Guidance

International Joint Conferences on Artificial Intelligence Workshop on RePSS (IJCAIW), 2024

Jiho Choi, Sang Jun Lee

[Paper]

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

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

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

[Paper] • [Code]

Monocular Depth Estimation from a Fisheye Camera based on Knowledge Distillation

Sensors, 2023 (IF: 3.9)

Eunjin Son, Jiho Choi, Jimin Song, Yongsik Jin and Sang Jun Lee

[Paper]

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

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

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

[Paper] • [Code]

Weakly Supervised Learning for Transmission Line Detection using Unpaired Image-To-Image Translation

Remote Sensing, 2022 (IF: 5.349) 

Jiho Choi, Sang Jun Lee

[Paper]

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

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

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

[Paper]