1 code implementation • 15 Sep 2022 • Jinhee Kim, Taesung Kim, Taewoo Kim, Jaegul Choo, Dong-Wook Kim, Byungduk Ahn, In-Seok Song, Yoon-Ji Kim
To fully automate this procedure, deep-learning-based methods have been widely proposed and have achieved high performance in detecting keypoints in medical images.
1 code implementation • 24 Aug 2022 • Jun-Sang Yoo, Dong-Wook Kim, Yucheng Lu, Seung-Won Jung
To advance ZSSR, we obtain reference image patches with rich textures and high-frequency details which are also extracted only from the input image using cross-scale matching.
2 code implementations • 27 May 2019 • Dong-Wook Kim, Jae Ryun Chung, Seung-Won Jung
In this paper, we propose a grouped residual dense network (GRDN), which is an extended and generalized architecture of the state-of-the-art residual dense network (RDN).