Haebom Lee

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 13

Top Topics

Ensemble Learning

Appearance Modeling

Fault Diagnosis

Top Venues

Int. J. Comput. Vis.

Publications

Sungho Suh, Haebom Lee, Tae Yeob Kang
Fault Diagnosis of Indium Tin Oxide Electrodes by Multi-channel S-parameter Patterns. ICEIC (2024)
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)
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 (2023)
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) (2023)
Tae Yeob Kang, Haebom Lee, Sungho Suh
In situ Fault Diagnosis of Indium Tin Oxide Electrodes by Processing S-Parameter Patterns. CoRR (2023)
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) (2023)
Haebom Lee, Christian Homeyer, Robert Herzog, Jan Rexilius, Carsten Rother
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks. CoRR (2022)
Haebom Lee, Robert Herzog, Jan Rexilius, Carsten Rother
Spatiotemporal Outdoor Lighting Aggregation on Image Sequences. GCPR (2021)
Sungho Suh, Haebom Lee, Paul Lukowicz, Yong Oh Lee
CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems. Neural Networks 133 (2021)
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)
Haebom Lee, Piotr Didyk
Real-time Apparent Resolution Enhancement for Head-mounted Displays. Proc. ACM Comput. Graph. Interact. Tech. 1 (1) (2018)
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)
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) (2016)
Haebom Lee, Min H. Kim
Building a Two-Way Hyperspectral Imaging System with Liquid Crystal Tunable Filters. ICISP (2014)