Ki-Sang Hong — accepted AI-conference papers

2018

SRFeat: Single Image Super-Resolution with Feature Discrimination

Seong-Jin Park, Hyeongseok Son, Sunghyun Cho, Ki-Sang Hong, Seungyong Lee

ECCV 2018poster

Generative adversarial networks (GANs) have recently been adopted to single image super resolution (SISR) and showed impressive results with realistically synthesized high-frequency textures. However, the results of such GAN based approaches tend to include less meaningful high-frequency noise that…

Cited by 231 Source ↗PDF ↗Scholar ↗

2017

RDFNet: RGB-D Multi-Level Residual Feature Fusion for Indoor Semantic Segmentation

Seong-Jin Park, Ki-Sang Hong, Seungyong Lee

ICCV 2017poster

In multi-class indoor semantic segmentation using RGB-D data, it has been shown that incorporating depth feature into RGB feature is helpful to improve segmentation accuracy. However, previous studies have not fully exploited the potentials of multi-modal feature fusion, e.g., simply concatenating R…

Cited by 389 PDF ↗Scholar ↗