Byunghyun Kim

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Universal Time-Series Representation Learning: A Survey.
ACM Comput. Surv., September, 2026

OT-UVGS: Revisiting UV Mapping for Gaussian Splatting as a Capacity Allocation Problem.
CoRR, April, 2026

Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling.
CoRR, February, 2026

Poster: Detecting Hidden Cameras using LED Illumination Sweeps.
Proceedings of the 24th Annual International Conference on Mobile Systems, 2026

Hide-and-Sweep: Detecting Concealed Cameras via LED Illumination Sweeps.
Proceedings of the 24th Annual International Conference on Mobile Systems, 2026

2025
Ultra-Light Test-Time Adaptation for Vision-Language Models.
CoRR, November, 2025

Training Deep Learning Segmentation Models Using Super-Resolution Crack Images for Detection of Thin Concrete Cracks.
J. Comput. Civ. Eng., 2025

Crack Assessment Using Cascade Mask R-CNN and Dilation-Erosion Processing Technique.
J. Comput. Civ. Eng., 2025

CH:ALK - Rapid automatic labeling toolkit to develop training images for concrete damage segmentation models.
Adv. Eng. Softw., 2025

Semantic-Fast-SAM: Efficient Semantic Segmenter.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

2024
Continuous-Time Linear Positional Embedding for Irregular Time Series Forecasting.
CoRR, 2024

2023
Context Consistency Regularization for Label Sparsity in Time Series.
Proceedings of the International Conference on Machine Learning, 2023

2022
Global Convolutional Neural Networks With Self-Attention for Fisheye Image Rectification.
IEEE Access, 2022

Semantic Dietary Personalization for Chronic Disease Management.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Automated crack evaluation of a high-rise bridge pier using a ring-type climbing robot.
Comput. Aided Civ. Infrastructure Eng., 2021

2018
Automated Vision-Based Detection of Cracks on Concrete Surfaces Using a Deep Learning Technique.
Sensors, 2018


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