3 citations · 3 across the 3 of their papers we have counts for
4 papers
Surprise-Guided MergeSort: Budget-Efficient Human-in-the-Loop Ranking via Adaptive Comparison Scheduling
Yujin Park, Haejun Chung, Ikbeom Jang
Pairwise comparison is the gold standard for subjective ranking tasks; however, exhaustive annotation requires a massive number of human comparisons (). While sorting-based…
MetaRanker: Human-in-the-loop Active Ranking for Metalens Image Quality
Yujin Park, Haejun Chung, Ikbeom Jang
Image quality in modern imaging systems emerges from the coupled effects of the sensor, optics, and computational reconstruction. Ultra-thin metalenses offer a path toward substant…
Dodgersort: Uncertainty-Aware VLM-Guided Human-in-the-Loop Pairwise Ranking
Yujin Park, Haejun Chung, Ikbeom Jang
Pairwise comparison labeling is emerging as it yields higher inter-rater reliability than conventional classification labeling, but exhaustive comparisons require quadratic cost. W…
EZ-Sort: Efficient Pairwise Comparison via Zero-Shot CLIP-Based Pre-Ordering and Human-in-the-Loop Sorting
Yujin Park, Haejun Chung, Ikbeom Jang
Pairwise comparison is often favored over absolute rating or ordinal classification in subjective or difficult annotation tasks due to its improved reliability. However, exhaustive…