297 citations · 297 across the 3 of their papers we have counts for
10 papers
DAM-GAN : Image Inpainting using Dynamic Attention Map based on Fake Texture Detection
Dongmin Cha, Daijin Kim
Deep neural advancements have recently brought remarkable image synthesis performance to the field of image inpainting. The adaptation of generative adversarial networks (GAN) in p…
FA-GAN: Feature-Aware GAN for Text to Image Synthesis
Eunyeong Jeon, Kunhee Kim, Daijin Kim
Text-to-image synthesis aims to generate a photo-realistic image from a given natural language description. Previous works have made significant progress with Generative Adversaria…
Localization Uncertainty-Based Attention for Object Detection
Sanghun Park, Kunhee Kim, Eunseop Lee +1
Object detection has been applied in a wide variety of real world scenarios, so detection algorithms must provide confidence in the results to ensure that appropriate decisions can…
UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation
Taehun Kim, Hyemin Lee, Daijin Kim
We propose Uncertainty Augmented Context Attention network (UACANet) for polyp segmentation which consider a uncertain area of the saliency map. We construct a modified version of…
Detector With Focus: Normalizing Gradient In Image Pyramid
Yonghyun Kim, Bong-Nam Kang, Daijin Kim
An image pyramid can extend many object detection algorithms to solve detection on multiple scales. However, interpolation during the resampling process of an image pyramid causes…
Attentional Feature-Pair Relation Networks for Accurate Face Recognition
Bong-Nam Kang, Yonghyun Kim, Bongjin Jun +1
Human face recognition is one of the most important research areas in biometrics. However, the robust face recognition under a drastic change of the facial pose, expression, and il…