5 citations · 5 across the 1 of their papers we have counts for
3 papers
cs.CV2026
Learning Sample-wise Rank-aware Interpolation Weights for Composed Visual Data Retrieval
Boseung Jeong, Taegyu Park, Donghyeon Kwon +2
At the heart of composed visual data retrieval is the fusion of a reference visual input and a textual modification into a single query. While current state-of-the-art methods util…
cs.CV2026
RePL: Pseudo-label Refinement for Semi-supervised LiDAR Semantic Segmentation
Donghyeon Kwon, Taegyu Park, Suha Kwak
Semi-supervised learning for LiDAR semantic segmentation often suffers from error propagation and confirmation bias caused by noisy pseudo-labels. To tackle this chronic issue, we…
cs.CV2022★ 5 cited
Semi-supervised Semantic Segmentation with Error Localization Network
Donghyeon Kwon, Suha Kwak
This paper studies semi-supervised learning of semantic segmentation, which assumes that only a small portion of training images are labeled and the others remain unlabeled. The un…