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2020 – today
- 2026
[i5]Haebom Lee, Gyeongjung Kim:
Keyed Nonlinear Transform: Lightweight Privacy-Enhancing Feature Sharing for Medical Image Analysis. CoRR abs/2605.14123 (2026)- 2025
- [i4]Denis Zavadski, Damjan Kalsan, Tim Küchler, Haebom Lee, Stefan Roth, Carsten Rother:
A Framework for Low-Effort Training Data Generation for Urban Semantic Segmentation. CoRR abs/2510.11567 (2025) - 2024
- [b1]Haebom Lee:
Lighting Estimation in Outdoor Scenes. University of Heidelberg, Germany, 2024 - [c6]Sungho Suh, Haebom Lee, Tae Yeob Kang
:
Image Generation of Ultra-Thin Polymer Films Using Diffusion Models from Tensile Testing for Mechanical Failure Prediction. ICEIC 2024: 1-4 - [c5]Sungho Suh, Haebom Lee, Tae Yeob Kang:
Fault Diagnosis of Indium Tin Oxide Electrodes by Multi-channel S-parameter Patterns. ICEIC 2024: 1-4 - 2023
- [j5]Haebom Lee, Christian Homeyer, Robert Herzog, Jan Rexilius, Carsten Rother:
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences Using Transformer Networks. Int. J. Comput. Vis. 131(4): 1060-1072 (2023) - [j4]Haebom Lee, Christian Homeyer, Robert Herzog, Jan Rexilius, Carsten Rother:
Correction: Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences Using Transformer Networks. Int. J. Comput. Vis. 131(5): 1302-1306 (2023) - [i3]Tae Yeob Kang, Haebom Lee, Sungho Suh:
SREL: Severity Rating Ensemble Learning for Non-Destructive Fault Diagnosis of Cu Interconnects using S-parameter Patterns. CoRR abs/2304.10207 (2023) - [i2]Tae Yeob Kang, Haebom Lee, Sungho Suh:
In situ Fault Diagnosis of Indium Tin Oxide Electrodes by Processing S-Parameter Patterns. CoRR abs/2308.11639 (2023) - 2022
- [i1]Haebom Lee, Christian Homeyer, Robert Herzog, Jan Rexilius, Carsten Rother:
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks. CoRR abs/2202.09206 (2022) - 2021
- [j3]Sungho Suh, Haebom Lee, Paul Lukowicz, Yong Oh Lee:
CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems. Neural Networks 133: 69-86 (2021) - [c4]Haebom Lee, Robert Herzog, Jan Rexilius, Carsten Rother:
Spatiotemporal Outdoor Lighting Aggregation on Image Sequences. GCPR 2021: 343-357
2010 – 2019
- 2019
- [c3]Sungho Suh, Haebom Lee, Yong Oh Lee, Paul Lukowicz, Jongwoon Hwang:
Robust Shipping Label Recognition and Validation for Logistics by Using Deep Neural Networks. ICIP 2019: 4509-4513 - 2018
- [j2]Haebom Lee, Piotr Didyk:
Real-time Apparent Resolution Enhancement for Head-mounted Displays. Proc. ACM Comput. Graph. Interact. Tech. 1(1): 19:1-19:15 (2018) - [c2]Haebom Lee, Jun Jo, Yong Oh Lee, Korkmaz Zirpel Nuriye, Leon Abelmann:
Deep Learning Analysis of Binding Behavior of Virus Displayed Peptides to AuNPs. PACBB 2018: 97-104 - 2016
- [j1]Giljoo Nam, Haebom Lee, Sungsoo Oh, Min H. Kim:
Measuring Color Defects in Flat Panel Displays Using HDR Imaging and Appearance Modeling. IEEE Trans. Instrum. Meas. 65(2): 297-304 (2016) - 2014
- [c1]Haebom Lee, Min H. Kim:
Building a Two-Way Hyperspectral Imaging System with Liquid Crystal Tunable Filters. ICISP 2014: 26-34
Coauthor Index
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