Hong, Je Hyeong

9 publications

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

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

ECCV 2024 Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment Simon Weber, Je Hyeong Hong, Daniel Cremers

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

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

ICCVW 2019 PotSAC: A Robust Axis Estimator for Axially Symmetric Pot Fragments Je Hyeong Hong, Young Min Kim, Koang-Chul Wi, Jinwook Kim

CVPR 2017 Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems Je Hyeong Hong, Christopher Zach, Andrew Fitzgibbon

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

ICCV 2015 Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts Je Hyeong Hong, Andrew Fitzgibbon