5 papers
Simple yet Effective Way for Improving the Performance of GAN
Yong-Goo Shin, Yoon-Jae Yeo, Sung-Jea Ko
In adversarial learning, discriminator often fails to guide the generator successfully since it distinguishes between real and generated images using silly or non-robust features.…
Fast and Accurate 3D Hand Pose Estimation via Recurrent Neural Network for Capturing Hand Articulations
Cheol-hwan Yoo, Seo-won Ji, Yong-goo Shin +2
3D hand pose estimation from a single depth image plays an important role in computer vision and human-computer interaction. Although recent hand pose estimation methods using conv…
cGANs with Conditional Convolution Layer
Min-Cheol Sagong, Yong-Goo Shin, Yoon-Jae Yeo +2
Conditional generative adversarial networks (cGANs) have been widely researched to generate class conditional images using a single generator. However, in the conventional cGANs te…
PEPSI++: Fast and Lightweight Network for Image Inpainting
Yong-Goo Shin, Min-Cheol Sagong, Yoon-Jae Yeo +2
Among the various generative adversarial network (GAN)-based image inpainting methods, a coarse-to-fine network with a contextual attention module (CAM) has shown remarkable perfor…
Unsupervised Deep Contrast Enhancement with Power Constraint for OLED Displays
Yong-Goo Shin, Seung Park, Yoon-Jae Yeo +2
Various power-constrained contrast enhancement (PCCE) techniques have been applied to an organic light emitting diode (OLED) display for reducing the power demands of the display w…