International Papers

[ 2025 ]

FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data

Jiin Im*, Yongho Son*  and Je Hyeong Hong
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025

[Paper] [Code]

[ 2024 ]

Depth-Guided Privacy-Preserving Visual Localization Using 3D Sphere Clouds

Heejoon Moon,  Jongwoo Lee,  Jeong Gon Kim, and Je Hyeong Hong
British Machine Vision Conference (BMVC) 2024

[Paper] [Code]

HoloGesture: A Multimodal Dataset for Hand Gesture Recognition Robust to Hand Textures on Head-Mounted Mixed-Reality Devices 

Jeongwoo Park and Je Hyeong Hong
 IEEE International Conference on Image Processing (ICIP) 2024

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Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment 

Simon Weber, Je Hyeong Hong and Daniel Cremers
European Conference on Computer Vision (ECCV) 2024

[ Paper ]

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, Jaeson K. Sa, Synho Do, Jae-Ho Han, and Jung Bin Kim
NeuroImage, vol. 297, no. 1, 120749, Aug. 2024 (IF 4.7, Categorical JCR < 10%)

[ Paper ]

Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds 

Heejoon Moon, Chunghwan Lee and Je Hyeong Hong
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

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XMP: A Cross-Attention Multi-Scale Performer for File Fragment Classification

Jeonggyu Park, Sisung Liu and Je Hyeong Hong
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024

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[ 2023 ]

Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization

Chunghwan Lee, Jaihoon Kim, Chanhyuk Yun and Je Hyeong Hong
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

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[ 2021 ]

Structure-from-Sherds: Incremental 3D Reassembly of  Axially Symmetric Pots from Unordered and Mixed Fragment Collections

J.H. Hong*†  , S.J. Yoo*, M.Z. Arshad, Y.M. Kim and J. Kim†, IEEE/CVF International Conference on Computer Vision (ICCV) 2021

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A 3D model-based approach for fitting masks to faces in the wild

J.H. Hong*, H. Kim*, M. Kim, G.P. Nam, J. Cho, H. Ko and I.-J. Kim, IEEE International Conference on Image Processing (ICIP) 2021

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A Unified Method for Robust Self-Calibration of 3-D Field Sensor Arrays

J.H. Hong, D. Kang and I.-J. Kim, IEEE Transactions on Instrumentation and Measurement
(2021, IF 5.33, Categorical JCR < 13.3%)

[ Paper ]

Robust Autocalibration of Triaxial Magnetometers

J.H. Hong, D. Kang and I.-J. Kim, IEEE Transactions on Instrumentation and Measurement
(2021, IF 5.33, Categorical JCR < 13.3%)

[ Paper ]

[ 2020 ]

3D Pots Configuration System by Optimizing Over Geometric Constraints

J.E. Kim, M.Z. Arshad, S.J. Yoo, J.H. Hong, J. Kim and Y.M. Kim,  International Conference and Pattern Recognition (ICPR) 2020

[ Paper ]

POP: A Generic Framework for Real-time Pose Estimation of Planar Objects

S. Chae, J.H. Hong, H. Choi and I.-J. Kim, IEEE Access (2020, SCIE)

[ Paper ]

[ 2019 ]

PotSAC: A Robust Axis Estimator for Axially Symmetric Pot Fragments

J.H. Hong, Y.M. Kim, K.-C. Wi and J. Kim, IEEE/CVF International Conference on Computer Vision 2019 Workshop (ICCVW) on E-Heritage (oral)

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[ 2018 ]

pOSE: Pseudo Object Space Error for Initialization-Free Bundle Adjustment 

J.H. Hong and C. Zach, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2018

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[ 2017 ]

Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems

J.H. Hong, C. Zach and A.W. Fitzgibbon, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017

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[ 2016 ]

Projective Bundle Adjustment from Arbitrary Initialization using the Variable Projection Method

J.H. Hong, C. Zach, A.W. Fitzgibbon and R. Cipolla, European Conference on Computer Vision (ECCV) 2016

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[ 2015 ]

Secrets of Matrix Factorization: Approximations, Numerics, Manifold  Optimization and Random Restarts

J.H. Hong and A.W. Fitzgibbon, IEEE International Conference on Computer Vision (ICCV) 2015

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