3 papers
eess.IV2019
W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping
Kwang-Hyun Uhm, Seung-Wook Kim, Seo-Won Ji +3
Recent research on learning a mapping between raw Bayer images and RGB images has progressed with the development of deep convolutional neural networks. A challenging data set name…
cs.CV2019
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…
cs.CV2019
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…