2 citations · 3 across the 5 of their papers we have counts for
5 papers
EGTR: Extracting Graph from Transformer for Scene Graph Generation
Jinbae Im, JeongYeon Nam, Nokyung Park +2
Scene Graph Generation (SGG) is a challenging task of detecting objects and predicting relationships between objects. After DETR was developed, one-stage SGG models based on a one-…
InstructBooth: Instruction-following Personalized Text-to-Image Generation
Daewon Chae, Nokyung Park, Jinkyu Kim +1
Personalizing text-to-image models using a limited set of images for a specific object has been explored in subject-specific image generation. However, existing methods often face…
Clustering-based Image-Text Graph Matching for Domain Generalization
Nokyung Park, Daewon Chae, Jeongyong Shim +3
Learning domain-invariant visual representations is important to train a model that can generalize well to unseen target task domains. Recent works demonstrate that text descriptio…
Grounding Visual Representations with Texts for Domain Generalization
Seonwoo Min, Nokyung Park, Siwon Kim +2
Reducing the representational discrepancy between source and target domains is a key component to maximize the model generalization. In this work, we advocate for leveraging natura…
A Framework for Recognizing and Estimating Human Concentration Levels
Woodo Lee, Jakyung Koo, Nokyung Park +2
One of the major tasks in online education is to estimate the concentration levels of each student. Previous studies have a limitation of classifying the levels using discrete stat…