7 citations · 16 across the 5 of their papers we have counts for
6 papers
AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks
Kibeom Hong, Seogkyu Jeon, Junsoo Lee +6
To deliver the artistic expression of the target style, recent studies exploit the attention mechanism owing to its ability to map the local patches of the style image to the corre…
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
Taehun Kim, Kunhee Kim, Joonyeong Lee +3
Salient object detection (SOD) has been in the spotlight recently, yet has been studied less for high-resolution (HR) images. Unfortunately, HR images and their pixel-level annotat…
A Style-aware Discriminator for Controllable Image Translation
Kunhee Kim, Sanghun Park, Eunyeong Jeon +2
Current image-to-image translations do not control the output domain beyond the classes used during training, nor do they interpolate between different domains well, leading to imp…
Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth
Seongyeop Yang, Kunhee Kim, Yeejin Lee
In this paper, we propose a dense depth estimation pipeline for multiview 360° images. The proposed pipeline leverages a spherical camera model that compensates for radial distorti…
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…