Papers by Hanbin Ko
CoNAN: A Complementary Neighboring-based Attention Network for Referring Expression Generation (2020.coling-main)
Copied to clipboard
| Challenge: | Existing approaches to identify and describe complex daily scenes are limited by ambiguity. |
| Approach: | They propose a Complementary Neighboring-based Attention Network that utilizes visual differences between the target object and its highly-related neighbors as complementary features. |
| Outcome: | The proposed expression outperforms state-of-the-art models on a dataset of 3D objects. |
CREPE: Rapid Chest X-ray Report Evaluation by Predicting Multi-category Error Counts (2025.emnlp-main)
Copied to clipboard
| Challenge: | CREPE is a metric for rapid, interpretable, and clinically grounded automated chest X-ray report generation. |
| Approach: | They propose to use a domain-specific BERT model fine-tuned with a multi-head regression architecture to predict multi-category error counts across six clinically meaningful categories. |
| Outcome: | CREPE outperforms traditional and recent metrics on a large-scale synthetic dataset of 32,000 annotated report pairs. |