Uncertainty Guided Pseudo-Labeling: Estimating Uncertainty on Ambiguous Data for Escalating Image Recognition Performance. - Kyung Ho Park; HyunHee Chung (ICAART (2), 2022)

Don't Wait Until the Accident Happens: Few-Shot Classification Framework for Car Accident Inspection in a Real World. - Kyung Ho Park; HyunHee Chung (ICIAP (1), 2022)

Did you Wash the Car?: Robust Car Wash Inspection System in a Large-scale Car Sharing Platform. - HyunHee Chung; Kyung Ho Park (ITSC, 2022)

Towards an Efficient ML System: Unveiling a Trade-off between Task Accuracy and Engineering Efficiency in a Large-scale Car Sharing Platform. - Kyung Ho Park; HyunHee Chung; Soonwoo Kwon (CoRR, 2022)

Is Meta-Learning Always Necessary?: A Practical ML Framework Solving Novel Tasks at Large-scale Car Sharing Platform. - HyunHee Chung; Kyung Ho Park (WACV (Workshops), 2023)

Phantom of Benchmark Dataset: Resolving Label Ambiguity Problem on Image Recognition in the Wild. - HyunHee Chung; Kyung Ho Park; Taewon Seo; Sungwoo Cho (WACV (Workshops), 2023)

SOCAR: Socially-Obtained CAR Dataset for Image Recognition in the Wild. - Taewon Seo; Kyung Ho Park; HyunHee Chung (WACV (Workshops), 2023)