Yeji Choi

Yeji Choi

Postdoctoral Researcher @ KAIST AI

I am a Postdoctoral Researcher at KAIST AI with Prof. Seungryong Kim.

I received my Ph.D. in Electrical & Electronic Engineering from Yonsei University, supervised by Prof. Kwanghoon Sohn and Prof. Ig-Jae Kim (KIST), and my B.S. and M.S. in Mathematics from Ewha Womans University, supervised by Prof. Jungho Yoon.

My research spans computer vision, image generation, and representation learning. I am particularly interested in a wide range of face-related tasks, including facial expression recognition, style transfer, cross-modal recognition, face swapping, and multi-view face generation. I am also interested in designing loss functions that reflect the underlying distribution of the feature space.

Publications
International Conference
APPLE
APPLE: Attribute-Preserving Pseudo-Labeling for Diffusion-Based Face Swapping
Jiwon Kang*, Yeji Choi*, JoungBin Lee, Wooseok Jang, Jinhyeok Choi, Taekeun Kang, Yongjae Park, Myungin Kim, Seungryong Kim  (*equal contribution)
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

A diffusion-based teacher-student framework that generates attribute-preserving pseudo-labels for face swapping, enabling high-fidelity identity transfer while preserving target attributes such as pose, expression, and lighting.

NLA
Navigating Label Ambiguity for Facial Expression Recognition in the Wild
JunGyu Lee*, Yeji Choi*, Haksub Kim, Ig-Jae Kim, Gi Pyo Nam  (*equal contribution)
Association for the Advancement of Artificial Intelligence (AAAI 2025)

We address label ambiguity in facial expression recognition for in-the-wild scenarios, proposing a method that handles the inherent subjectivity and ambiguity in emotion labels.

ICIP
Face Photo-Sketch Synthesis via Domain-Invariant Feature Embedding
Yeji Choi, Kwanghoon Sohn, Ig-Jae Kim
IEEE International Conference on Image Processing (ICIP 2023)

A domain-invariant feature embedding approach for robust face photo-sketch synthesis that bridges the large domain gap between photo and sketch modalities.

GAN
GAN-based Anomaly Detection and Localization of Multivariate Time Series Data for Power Plant
Yeji Choi, Hyunki Lim, Heeseung Choi, Ig-Jae Kim
IEEE International Conference on Big Data and Smart Computing (BigComp 2020)

A GAN-based approach for detecting and localizing anomalies in multivariate time series data collected from power plant systems.

International Journal
HiTS
HiTS: Hierarchical Text-Guided Stylization for Face Sketch-to-Photo Synthesis
Yeji Choi, Haksub Kim, Kwanghoon Sohn, Ig-Jae Kim
IEEE Access, 2025

A hierarchical text-guided stylization method for face sketch-to-photo synthesis, leveraging text prompts to control style at multiple levels of abstraction.

DT-LA
Dual Transformers with Latent Amplification for Multivariate Time Series Anomaly Detection
Yeji Choi, Kwanghoon Sohn, Ig-Jae Kim
IEEE Access, 2025

A dual transformer architecture with latent amplification for robust anomaly detection and localization in multivariate time series data.

K-FACE
Yeji Choi*, Hyunjung Park*, Gi Pyo Nam, Haksub Kim, Heeseung Choi, Junghyun Cho, Ig-Jae Kim  (*equal contribution)
arXiv preprint, 2021

A large-scale face database collected under diverse unconstrained environments, designed to support AI-based face recognition research.

Memetic Algorithm
Memetic Algorithm for Multivariate Time-Series Segmentation
Hyunki Lim, Heeseung Choi, Yeji Choi, Ig-Jae Kim
Pattern Recognition Letters, 138: 60–67, 2020

A memetic algorithm combining evolutionary search and local optimization for efficient segmentation of multivariate time-series data.

Patent
Method for Predicting Power Generation and Remaining Useful Life per System and System for Performing The Same
Ig-Jae Kim, Heeseung Choi, Yeji Choi
Korean patent, 10-2020-0173376 (Dec. 2020)
US patent, 17/489805 (Sep. 2021)
System and Method for Determining Situation of Facility by Imaging Sensing Data of Facility
Ig-Jae Kim, Heeseung Choi, Hyunki Lim, Yeji Choi
Korean patent, 10-2019-0133998 (Oct. 2019)
US patent, 17/013859 (Sep. 2020)
Academic Activities
Awards
2025 Graduate Excellence Award, Academy–Research–Industry Collaboration Program, KIST
2019 Best Presentation Award, Year-End RMI Workshop, KIST
2017 2nd Award, 8th KIAS CAC Summer School on Parallel and Scientific Computing
2014–2016 BK21+ Scholarship, Ewha Womans University
2011–2013 Undergraduate Merit Scholarship, Ewha Womans University
Exhibitions
PoliSketch: 3D Montage, CES 2020, Eureka Park, Las Vegas (Jan. 2020)
Developed a facial style transfer model and real-time editing program

KFAS (KIST Face Aging Simulator), SIGGRAPH Asia 2016, Macao (Dec. 2016)
Technical poster presentation
Academic
Service
CVPR, ECCV, NeurIPS