Nokyung Park — accepted AI-conference papers

2024

EGTR: Extracting Graph from Transformer for Scene Graph Generation

Jinbae Im, JeongYeon Nam, Nokyung Park, Hyungmin Lee, Seunghyun Park

CVPR 2024poster

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-stage object detector have been actively studied. However complex modeling is used to predict the relationship between ob…

Cited by 27 Source ↗PDF ↗code ↗Scholar ↗

2022

Grounding Visual Representations with Texts for Domain Generalization

Seonwoo Min, Nokyung Park, Siwon Kim, Seunghyun Park, Jinkyu Kim

ECCV 2022poster

"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 natural language supervision for the domain generalization task. We introduce two modules to ground visual representations wi…

Cited by 44 Source ↗PDF ↗code ↗Scholar ↗