20 citations · 45 across the 6 of their papers we have counts for
6 papers
DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting
Seonghyeon Kim, Seung Shin, Yoonsik Kim +6
Recent end-to-end scene text spotters have achieved great improvement in recognizing arbitrary-shaped text instances. Common approaches for text spotting use region of interest poo…
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features
Byeonghu Na, Yoonsik Kim, Sungrae Park
Linguistic knowledge has brought great benefits to scene text recognition by providing semantics to refine character sequences. However, since linguistic knowledge has been applied…
SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models
Moonbin Yim, Yoonsik Kim, Han-Cheol Cho +1
For successful scene text recognition (STR) models, synthetic text image generators have alleviated the lack of annotated text images from the real world. Specifically, they genera…
RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of Text Contents and Styles
Junyeop Lee, Yoonsik Kim, Seonghyeon Kim +4
Scene text editing (STE), which converts a text in a scene image into the desired text while preserving an original style, is a challenging task due to a complex intervention betwe…
Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization
Yoonsik Kim, Jae Woong Soh, Gu Yong Park +1
Real-noise denoising is a challenging task because the statistics of real-noise do not follow the normal distribution, and they are also spatially and temporally changing. In order…
A New Convolutional Network-in-Network Structure and Its Applications in Skin Detection, Semantic Segmentation, and Artifact Reduction
Yoonsik Kim, Insung Hwang, Nam Ik Cho
The inception network has been shown to provide good performance on image classification problems, but there are not much evidences that it is also effective for the image restorat…