Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts. - Je Hyeong Hong; Andrew W. Fitzgibbon (ICCV, 2015)

Projective Bundle Adjustment from Arbitrary Initialization Using the Variable Projection Method. - Je Hyeong Hong; Christopher Zach; Andrew W. Fitzgibbon; Roberto Cipolla (ECCV (1), 2016)

Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems. - Je Hyeong Hong; Christopher Zach; Andrew W. Fitzgibbon (CVPR, 2017)

pOSE: Pseudo Object Space Error for Initialization-Free Bundle Adjustment. - Je Hyeong Hong; Christopher Zach (CVPR, 2018)

PotSAC: A Robust Axis Estimator for Axially Symmetric Pot Fragments. - Je Hyeong Hong; Young Min Kim 001; Koang-Chul Wi; Jinwook Kim (ICCV Workshops, 2019)

POP: A Generic Framework for Real-Time Pose Estimation of Planar Objects. - Seungho Chae; Je Hyeong Hong; Heeseung Choi; Ig-Jae Kim (IEEE Access, 2020)

Structure-from-Sherds: Incremental 3D Reassembly of Axially Symmetric Pots from Unordered and Mixed Fragment Collections. - Je Hyeong Hong; Seong Jong Yoo; Muhammad Zeeshan Arshad; Young Min Kim 001; Jinwook Kim (ICCV, 2021)

A 3d Model-Based Approach For Fitting Masks To Faces In The Wild. - Je Hyeong Hong; Hanjo Kim; Minsoo Kim; Gi Pyo Nam; Junghyun Cho; Hyeong-Seok Ko; Ig-Jae Kim (ICIP, 2021)

Robust Autocalibration of Triaxial Magnetometers. - Je Hyeong Hong; Donghoon Kang; Ig-Jae Kim (IEEE Trans. Instrum. Meas., 2021)

A Unified Method for Robust Self-Calibration of 3-D Field Sensor Arrays. - Je Hyeong Hong; Donghoon Kang; Ig-Jae Kim (IEEE Trans. Instrum. Meas., 2021)

Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization. - Chunghwan Lee; Jaihoon Kim; Chanhyuk Yun; Je Hyeong Hong (CVPR, 2023)

Depth-Guided Privacy-Preserving Visual Localization Using 3D Sphere Clouds. - Heejoon Moon; Jongwoo Lee; Jeong-Gon Kim; Je Hyeong Hong (BMVC, 2024)

Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds. - Heejoon Moon; Chunghwan Lee; Je Hyeong Hong (CVPR, 2024)

Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment. - Simon Weber 002; Je Hyeong Hong; Daniel Cremers (ECCV (13), 2024)

XMP: A Cross-Attention Multi-Scale Performer for File Fragment Classification. - Jeong Gyu Park; Sisung Liu; Je Hyeong Hong (ICASSP, 2024)

HoloGesture: A Multimodal Dataset For Hand Gesture Recognition Robust To Hand Textures On Head-Mounted Mixed-Reality Devices. - Jeongwoo Park; Je Hyeong Hong (ICIP, 2024)

Differentiating loss of consciousness causes through artificial intelligence-enabled decoding of functional connectivity. - Young-Tak Kim; Hayom Kim; Mingyeong So; Jooheon Kong; Keun-Tae Kim; Je Hyeong Hong; Yunsik Son 001; Jason K. Sa; Synho Do; Jae-Ho Han; Jung-Bin Kim (NeuroImage, 2024)

FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data. - Jiin Im; Yongho Son; Je Hyeong Hong (WACV, 2025)

A Cross-Attention Multi-Scale Performer With Gaussian Bit-Flips for File Fragment Classification. - Sisung Liu; Jeong Gyu Park; Hyeongsik Kim 002; Je Hyeong Hong (IEEE Trans. Inf. Forensics Secur., 2025)