Je Hyeong Hong

According to our database, Je Hyeong Hong authored at least 27 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

Heejoon Moon, Jongwoo Lee, Jeonggon Kim, Je Hyeong Hong

CoRR, May, 2026

Revisiting Geometric Obfuscation with Dual Convergent Lines for Privacy-Preserving Image Queries in Visual Localization.

Jeong-Gon Kim, Heejoon Moon, Je Hyeong Hong

CoRR, April, 2026

Shape-of-You: Fused Gromov-Wasserstein Optimal Transport for Semantic Correspondence in-the-Wild.

Jiin Im, Sisung Liu, Je Hyeong Hong

CoRR, March, 2026

PINGS-X: Physics-Informed Normalized Gaussian Splatting with Axes Alignment for Efficient Super-Resolution of 4D Flow MRI.

Sun Jo, Seok Young Hong, JinHyun Kim, Seungmin Kang, Ahjin Choi, Don-Gwan An, Simon Song, Je Hyeong Hong

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

GTA-Crime: A Synthetic Dataset and Generation Framework for Fatal Violence Detection with Adversarial Snippet-Level Domain Adaptation.

Seongho Kim, Sejong Ryu, Hyoukjun You, Je Hyeong Hong

CoRR, September, 2025

A Cross-Attention Multi-Scale Performer With Gaussian Bit-Flips for File Fragment Classification.

Sisung Liu, Jeong Gyu Park, Hyeongsik Kim, Je Hyeong Hong

IEEE Trans. Inf. Forensics Secur., 2025

Long-tailed detection and classification of wafer defects from scanning electron microscope images robust to diverse image backgrounds and defect scales.

Taekyeong Park, Yongho Son, Sanghyuk Moon, Seungju Han, Je Hyeong Hong

Eng. Appl. Artif. Intell., 2025

SSTRAC: Skeleton-Based Dual-Stream Spatio-Temporal Transformer for Repetitive Action Counting in Videos.

Jungjun Lim, Donghoon Kang, Kanghyun Ryu, Je Hyeong Hong

IEEE Access, 2025

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

Jiin Im, Yongho Son, Je Hyeong Hong

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

GAMT: A Geometry-Aware, Multi-view, Training-Free Segmentation Framework for Foundation Models in Medical Imaging.

Sun Jo, Ahjin Choi, Je Hyeong Hong

Proceedings of the Foundation Models for 3D Biomedical Image Segmentation, 2025

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, Jason K. Sa, Synho Do, Jae-Ho Han, Jung-Bin Kim

NeuroImage, 2024

HoloGesture: A Multimodal Dataset For Hand Gesture Recognition Robust To Hand Textures On Head-Mounted Mixed-Reality Devices.

Jeongwoo Park, Je Hyeong Hong

Proceedings of the IEEE International Conference on Image Processing, 2024

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

Jeong Gyu Park, Sisung Liu, Je Hyeong Hong

Proceedings of the IEEE International Conference on Acoustics, 2024

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

Simon Weber, Je Hyeong Hong, Daniel Cremers

Proceedings of the Computer Vision - ECCV 2024, 2024

Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds.

Heejoon Moon, Chunghwan Lee, Je Hyeong Hong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Heejoon Moon, Jongwoo Lee, Jeong-Gon Kim, Je Hyeong Hong

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization.

Chunghwan Lee, Jaihoon Kim, Chanhyuk Yun, Je Hyeong Hong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Robust Autocalibration of Triaxial Magnetometers.

Je Hyeong Hong, Donghoon Kang, Ig-Jae Kim

IEEE Trans. Instrum. Meas., 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

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

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, Jinwook Kim

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

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

2019

PotSAC: A Robust Axis Estimator for Axially Symmetric Pot Fragments.

Je Hyeong Hong, Young Min Kim, Koang-Chul Wi, Jinwook Kim

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

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

Je Hyeong Hong, Christopher Zach

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems.

Je Hyeong Hong, Christopher Zach, Andrew W. Fitzgibbon

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Projective Bundle Adjustment from Arbitrary Initialization Using the Variable Projection Method.

Je Hyeong Hong, Christopher Zach, Andrew W. Fitzgibbon, Roberto Cipolla

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

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

Je Hyeong Hong, Andrew W. Fitzgibbon

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015